Don't miss the chance- Data Scientists are in demand in SG. Master in the fundamental of DS & ML using Python Pandas, NumPy guided by Industry Experts.
Data Analysis and Data Wrangling with Python (SC221).pdfJeniferJenkins2
Data Science remains to be the need of the hour and shows no signs of slowing down. Data Science platforms are deployed for sustainability in highly competitive industries enabling optimal use of analytics. As the world produces exponentially more data as time passes, so does the need to collect/gather, wrangle/arrange and analyse the data collected.
Python Course for Data Science conducted by Industry Veteran faculty at MAGES Institute Singapore - Data is the new oil and Data Science is the engine required to utilise the oil and generate meaningful insights, and make higher-quality decisions.
MEASURING THE BUSINESS IMPACT OF LEARNING: WHAT WE’VE LEARNEDHuman Capital Media
The ‘Measuring the Business Impact of Learning’ benchmarking survey, conducted by LEO Learning and Watershed (on behalf of Learning Technologies Group) is entering its fourth year. With the survey launching on November 1st and closing on December 13th, LEO Learning and Watershed are holding a webinar to reflect on the results so far, plus discuss how organizations they’re working with have overcome the barriers in measurement planning and implementation. The insights are drawn from their group experience working with a range of clients in this field and should be valuable for anyone who wants to get going in learning analytics and sustainable business impact assessment.
Join your hosts as they cover the state of the world of measurement, and you’ll receive:
An understanding of how well-known organizations have overcome the barriers in measurement planning and implementation.
Real-world examples of how to get management buy-in, designing for data, building data ecosystems, implementing a learning analytics strategy and more.
The opportunity to take this years ‘Measuring the Business Impact of Learning’ survey, and see the results coming in live!
Triple Your Experiment Velocity by Integrating Optimizely with Your Data Ware...Optimizely
Harnessing the power of data and experimentation is central to Updater’s goal of revolutionizing the moving industry. However, while scaling their experimentation program, the team at Updater had to overcome the challenge that many of their conversions happen offline or on third-party sites and therefore couldn't be used in testing. During this session, you’ll learn how Updater fixed this blind spot in their funnels, tripled experiment velocity, and discovered deep user insights by integrating their experimentation platform and data warehouse.
Want to learn data analytics or just grab the information about data analytics and its future? https://coursedekho.com/data-analytics-courses-in-surat/
The significance of Data Science has impressively increased over recent years. The contemporary period is the intersection of data analytics with emerging technologies that involve artificial intelligence (AI), machine learning (MI), and automation. And these three things have an ocean of career opportunities. In this post, I am sharing with you some best Data Analytics Courses in Surat, with a detailed course curriculum and placements guarantee.
#education
#data
#DataAnalytics
#DataScience
#DataCourse
#AnalyticsCourses
#AnalyticsCourse
#DataScienceCourse
#DataScienceCourses
#CoursesInIndia
#DataJob
The field of Data Analytics is rapidly growing, and businesses are actively looking for professionals who can help them make sense of their data to make informed decisions. If you’re interested in becoming a Data Analyst, then you’re in the right place.
Chapter 10 Modeling and Analysis Heuristic Search Methods EstelaJeffery653
Chapter 10: Modeling and Analysis: Heuristic Search
Methods and Simulation
Learning Objectives
• Explain the basic concepts of simulation and when to
use it
• Understand the concepts and applications of different
types of simulation
• Explain what is meant by Monte Carlo and discrete
event simulation
Simulation
• Simulation is the “appearance” of reality
• It is often used to conduct what-if analysis on the
model of the actual system
• It is a popular DSS technique for conducting
experiments with a computer on a comprehensive
model of the system to assess its dynamic behavior
• Often used when the system is too complex for other
DSS techniques
Application Case 10.3
Simulating Effects of Hepatitis B
Interventions
Questions for Discussion
1. Explain the advantage of operations research methods such
as simulation over clinical trial methods in determining the
best control measure for Hepatitis B.
2. In what ways do the decision and Markov models provide
cost-effective ways of combating the disease?
3. Discuss how multidisciplinary background is an asset in
finding a solution for the problem described in the case.
4. Besides healthcare, in what other domain could such a
modeling approach help reduce cost?
Major Characteristics of Simulation
• Imitates reality and captures its richness both in
shape and behavior
• “Represent” versus “Imitate”
• Technique for conducting experiments
• Descriptive, not normative tool
• Often to “solve” [i.e., analyze] very complex
systems/problems
• Simulation should be used only when a numerical
optimization is not possible
Advantages of Simulation
• The theory is fairly straightforward
• Great deal of time compression
• Experiment with different alternatives
• The model reflects manager’s perspective
• Can handle wide variety of problem types
• Can include the real complexities of problems
• Produces important performance measures
• Often it is the only DSS modeling tool for non-structured problems
Disadvantages of Simulation
• Cannot guarantee an optimal solution
• Slow and costly construction process
• Cannot transfer solutions and inferences to solve other problems
(problem specific)
• So easy to explain/sell to managers, may lead to overlooking
analytical solutions
• Software may require special skills
Simulation Methodology
Steps:
1. Define problem 5. Conduct experiments
2. Construct the model 6. Evaluate results
3. Test and validate model 7. Implement solution
4. Design experiments
Simulation Types
• Probabilistic/Stochastic vs. Deterministic Simulation
• Uses probability distributions
• Time-dependent vs. Time-independent Simulation
• Monte Carlo technique (X = A + B)[A, B, and X are all
distributions]
• Discrete Event vs. Continuous Simulation
• Simulation Implementation
• Visual Simulation and/or Object-Oriented Simulation
Visual Interactive Simulation (VIS)
• Visual interactive modeling (VIM), also called Visual
Inte ...
With the increasing access to big data, organizations are finding new ways to utilize this information within their talent acquisition strategy. During this Spotlight Webinar, we’ll focus on HR analytics and how organizations are leveraging this data to strengthen their recruiting strategies when identifying talent.
During this spotlight webinar, learners will:
Identify how analytics play a role in forecasting the time required to identify and hire candidates
Determine how to leverage analytics to strengthen recruiting strategy
Learn how vendor partnerships can provide HR analytics that support workforce planning.
Data Analysis and Data Wrangling with Python (SC221).pdfJeniferJenkins2
Data Science remains to be the need of the hour and shows no signs of slowing down. Data Science platforms are deployed for sustainability in highly competitive industries enabling optimal use of analytics. As the world produces exponentially more data as time passes, so does the need to collect/gather, wrangle/arrange and analyse the data collected.
Python Course for Data Science conducted by Industry Veteran faculty at MAGES Institute Singapore - Data is the new oil and Data Science is the engine required to utilise the oil and generate meaningful insights, and make higher-quality decisions.
MEASURING THE BUSINESS IMPACT OF LEARNING: WHAT WE’VE LEARNEDHuman Capital Media
The ‘Measuring the Business Impact of Learning’ benchmarking survey, conducted by LEO Learning and Watershed (on behalf of Learning Technologies Group) is entering its fourth year. With the survey launching on November 1st and closing on December 13th, LEO Learning and Watershed are holding a webinar to reflect on the results so far, plus discuss how organizations they’re working with have overcome the barriers in measurement planning and implementation. The insights are drawn from their group experience working with a range of clients in this field and should be valuable for anyone who wants to get going in learning analytics and sustainable business impact assessment.
Join your hosts as they cover the state of the world of measurement, and you’ll receive:
An understanding of how well-known organizations have overcome the barriers in measurement planning and implementation.
Real-world examples of how to get management buy-in, designing for data, building data ecosystems, implementing a learning analytics strategy and more.
The opportunity to take this years ‘Measuring the Business Impact of Learning’ survey, and see the results coming in live!
Triple Your Experiment Velocity by Integrating Optimizely with Your Data Ware...Optimizely
Harnessing the power of data and experimentation is central to Updater’s goal of revolutionizing the moving industry. However, while scaling their experimentation program, the team at Updater had to overcome the challenge that many of their conversions happen offline or on third-party sites and therefore couldn't be used in testing. During this session, you’ll learn how Updater fixed this blind spot in their funnels, tripled experiment velocity, and discovered deep user insights by integrating their experimentation platform and data warehouse.
Want to learn data analytics or just grab the information about data analytics and its future? https://coursedekho.com/data-analytics-courses-in-surat/
The significance of Data Science has impressively increased over recent years. The contemporary period is the intersection of data analytics with emerging technologies that involve artificial intelligence (AI), machine learning (MI), and automation. And these three things have an ocean of career opportunities. In this post, I am sharing with you some best Data Analytics Courses in Surat, with a detailed course curriculum and placements guarantee.
#education
#data
#DataAnalytics
#DataScience
#DataCourse
#AnalyticsCourses
#AnalyticsCourse
#DataScienceCourse
#DataScienceCourses
#CoursesInIndia
#DataJob
The field of Data Analytics is rapidly growing, and businesses are actively looking for professionals who can help them make sense of their data to make informed decisions. If you’re interested in becoming a Data Analyst, then you’re in the right place.
Chapter 10 Modeling and Analysis Heuristic Search Methods EstelaJeffery653
Chapter 10: Modeling and Analysis: Heuristic Search
Methods and Simulation
Learning Objectives
• Explain the basic concepts of simulation and when to
use it
• Understand the concepts and applications of different
types of simulation
• Explain what is meant by Monte Carlo and discrete
event simulation
Simulation
• Simulation is the “appearance” of reality
• It is often used to conduct what-if analysis on the
model of the actual system
• It is a popular DSS technique for conducting
experiments with a computer on a comprehensive
model of the system to assess its dynamic behavior
• Often used when the system is too complex for other
DSS techniques
Application Case 10.3
Simulating Effects of Hepatitis B
Interventions
Questions for Discussion
1. Explain the advantage of operations research methods such
as simulation over clinical trial methods in determining the
best control measure for Hepatitis B.
2. In what ways do the decision and Markov models provide
cost-effective ways of combating the disease?
3. Discuss how multidisciplinary background is an asset in
finding a solution for the problem described in the case.
4. Besides healthcare, in what other domain could such a
modeling approach help reduce cost?
Major Characteristics of Simulation
• Imitates reality and captures its richness both in
shape and behavior
• “Represent” versus “Imitate”
• Technique for conducting experiments
• Descriptive, not normative tool
• Often to “solve” [i.e., analyze] very complex
systems/problems
• Simulation should be used only when a numerical
optimization is not possible
Advantages of Simulation
• The theory is fairly straightforward
• Great deal of time compression
• Experiment with different alternatives
• The model reflects manager’s perspective
• Can handle wide variety of problem types
• Can include the real complexities of problems
• Produces important performance measures
• Often it is the only DSS modeling tool for non-structured problems
Disadvantages of Simulation
• Cannot guarantee an optimal solution
• Slow and costly construction process
• Cannot transfer solutions and inferences to solve other problems
(problem specific)
• So easy to explain/sell to managers, may lead to overlooking
analytical solutions
• Software may require special skills
Simulation Methodology
Steps:
1. Define problem 5. Conduct experiments
2. Construct the model 6. Evaluate results
3. Test and validate model 7. Implement solution
4. Design experiments
Simulation Types
• Probabilistic/Stochastic vs. Deterministic Simulation
• Uses probability distributions
• Time-dependent vs. Time-independent Simulation
• Monte Carlo technique (X = A + B)[A, B, and X are all
distributions]
• Discrete Event vs. Continuous Simulation
• Simulation Implementation
• Visual Simulation and/or Object-Oriented Simulation
Visual Interactive Simulation (VIS)
• Visual interactive modeling (VIM), also called Visual
Inte ...
With the increasing access to big data, organizations are finding new ways to utilize this information within their talent acquisition strategy. During this Spotlight Webinar, we’ll focus on HR analytics and how organizations are leveraging this data to strengthen their recruiting strategies when identifying talent.
During this spotlight webinar, learners will:
Identify how analytics play a role in forecasting the time required to identify and hire candidates
Determine how to leverage analytics to strengthen recruiting strategy
Learn how vendor partnerships can provide HR analytics that support workforce planning.
Is your nonprofit using surveys to gain insights and make data-driven decisions? Most nonprofits struggle with this because, even though surveys are familiar, they are difficult to create, manage, and run effectively. This webinar will walk you through five things that every nonprofit should consider while doing surveys and research.
Things we will cover:
How to run a highly effective online research survey
How to craft your survey questions
How to get the most out of survey templates for nonprofits
How data-driven decisions drive impact for nonprofits
How to efficiently use online survey tools to start your research
5/25/2020 Rubric Detail – 31228.202030
https://ucumberlands.blackboard.com/webapps/rubric/do/course/gradeRubric?mode=grid&isPopup=true&rubricCount=1&prefix=_843783_1&course_i… 1/4
Rubric Detail
A rubric lists grading criteria that instructors use to evaluate student work. Your instructor linked a rubric to this item
and made it available to you. Select Grid View or List View to change the rubric's layout.
Show Descriptions Show Feedback
Name: ITS836 (8 Week) Research Paper Rubric
Description: Please use this rubric for grading research papers
Exit
Grid View List View
No requirements are met
Includes a few of the required components as speci�ed in the assignment.
Includes some of the required components as speci�ed in the assignment.
Includes most of the required components as speci�ed in the assignment.
Includes all of the required components as speci�ed in the assignment.
Requirements
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
Fails to provide enough content to show a demonstration of knowledge
Major errors or omissions in demonstration of knowledge.
Some signi�cant but not major errors or omissions in demonstration of knowledge.
A few errors or omissions in demonstration of knowledge.
Demonstrates strong or adequate knowledge of the materials; correctly represents knowledge
from the readings and sources.
Content
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
5/25/2020 Rubric Detail – 31228.202030
https://ucumberlands.blackboard.com/webapps/rubric/do/course/gradeRubric?mode=grid&isPopup=true&rubricCount=1&prefix=_843783_1&course_i… 2/4
g
Fails to provide a critical thinking analysis and interpretation
Major errors or omissions in analysis and interpretation.
Some signi�cant but not major errors or omissions in analysis and interpretation.
A few errors or omissions in analysis and interpretation.
Provides a strong critical analysis and interpretation of the information given.
Critical Analysis
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Fails to demonstrate problem solving.
Major errors or omissions in problem solving.
Some signi�cant but not major errors or omissions in problem solving.
A few errors or omissions in problem solving.
Demonstrates strong or adequate thought and insight in problem solving.
Problem Solving
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Source or example selection and integration of knowledge.
Lifecycle Integration with the University of KentuckySalesforce.org
Presentation from Salesforce.org Higher Ed Summit 2018 by: Tyler Gayheart, Office of Strategic Communication.
The University of Kentucky is embarking on a lifecycle enterprise approach to our digital and constituency relationship management (CRM) by way of a Enterprise Level Agreement (ELA) with Salesforce.org with the intention to deploy Salesforce for prospect, current student, alumni and donor operations carrying out over a multi-year period. This session will cover the process for planning, acquiring and building a lifecycle approach to deploying Salesforce across the enterprise at the University of Kentucky. An overview of activities will be shared from the completed phases of the project and speak to how the institutions plans to transform the way they engage prospects, current students, donors, alumni of the University.
Watch a recording of this presentation: https://youtu.be/8vKmN0oyIDM
A brief overview of the Professional Certificate in Data Science Course at MAGES Institute, a 6mth program design for non-ICT personnel for a career-transition into ICT Sector.
Could you increase your knowledge—and raise your grade—i.docxfaithxdunce63732
Could you increase your knowledge—
and raise your grade—if you…
…used an online tutorial that assisted you with Access
and Excel skills mapped to this book?
…learned to use Microsoft’s SharePoint, the number one
organizational tool for file sharing and collaboration?
…had flashcards and student PowerPoints
to prepare for lectures?
Visit , a valuable tool
for your student success and your
business career.
www.myMISlab.com
www.myMISlab.com
INTEGRATING BUSINESS WITH TECHNOLOGY
By completing the projects in this text, students will be able to demonstrate business knowledge, application
software proficiency, and Internet skills.These projects can be used by instructors as learning assessment tools
and by students as demonstrations of business, software, and problem-solving skills to future employers. Here
are some of the skills and competencies students using this text will be able to demonstrate:
Business Application skills: Use of both business and software skills in real-world business applications.
Demonstrates both business knowledge and proficiency in spreadsheet, database, and Web page/blog creation
tools.
Internet skills: Ability to use Internet tools to access information, conduct research, or perform online
calculations and analysis.
Analytical, writing and presentation skills: Ability to research a specific topic, analyze a problem, think
creatively, suggest a solution, and prepare a clear written or oral presentation of the solution, working either
individually or with others in a group.
Business Application Skills
BUSINESS SKILLS
Finance and Accounting
Financial statement analysis
Pricing hardware anrj software
Technology rent vs. buy decision
Total Cost of Ownership (TCO) analysis
Analyzing telecommunications services anrj costs
Risk assessment
Retirement planning
Capital budgeting
Human Resources
Employee training and skills tracking
Job posting database and Web page
Manufacturing and Production
Analyzing supplier performance and pricing
Inventory management
Bill of materials cost sensitivity analysis
Sales and Marketing
Sales trend analysis
SOFTWARE SKILLS
Spreadsheet charts
Spreadsheet formulas
Spreadsheet downloading and formatting
Spreadsheet formulas
Spreadsheet formulas
Spreadsheet formulas
Spreadsheet charts and formulas
Spreadsheet formulas and logical functions
Spreadsheet formulas
Database design
Database querying and reporting
Database design
Web page design and creation
Spreadsheet date functions
Database functions
Data filtering
Importing data into a database
Database querying and reporting
Spreadsheet data tables
Spreadsheet formulas
Database querying and reporting
CHAPTER
Chapter 2*
Chapter 10
Chapter 5
Chapter 5*
Chapter 7
Chapter 8
Chapter 11
Chapter 14
Chapter 14*
Chapter 13*
Chapter 15
Chapter 2
Chapter 6
Chapter 12*
Chapter 1
Customer reservation system
Improving marketing decisions
Customer profiling
Customer service analysis
Sales lead and.
Learning and Business Impact: Making the Case through Metrics and AnalyticsHuman Capital Media
Proving the impact of a single learning investment is relatively easy. Answering the broader question of “What impact is L&D having on the business?” is hard. In this Spotlight webinar, Ericsson’s global head of learning measurement and analytics will share how he’s guiding assessment, evaluation and measurement strategies that provide data to help executives understand the impact of employee learning on business performance.
During this session, attendees will:
Identify ways that analytics is shaping learning measurement.
Describe components of a measurement map.
Identify the level of measurement maturity in their organization.
Learning and Business Impact: Making the Case through Metrics and AnalyticsCornerstone OnDemand
Proving the impact of a single learning investment is relatively easy. Answering the broader question of "What impact is L&D having on the business?" is hard.
Using Net Promoter Score (NPS) to Increase Course EngagementLambda Solutions
A core activity of measuring how Learners engage with your course is measuring their reaction to it. A popular technique to measure customer experience is Net Promoter Score (NPS). Most organizations struggle to effectively structure an NPS survey, which overwhelms or makes it extraordinarily hard to use the data to make improvements.
In this webinar, we explore best practices in creating NPS surveys, analyzing the data, and applying lean learning analytics techniques to use the feedback to continuously improve your courses.
Tune in!
NAC-Tech has been conceived as an industry standard assessment and certification program to ensure the transformation of a "trainable" workforce into an "employable" workforce, hence creating a robust and continuous pipeline of talent for the IT/Engineering Industry. It is targeted at final year and pre-final year students, who will be seeking employment opportunities in the IT / Engineering sector.
The intent behind assessing these students is to identify the level of talent which is available across India, especially in Tier II and Tier III cities and provide feedback to them on areas they need to work on to improve their employ-ability.
Conceptualization of NAC-Tech
In-depth meetings with the large recruiters in the industry were conducted to understand their recruitment practices, cause of attrition desired skills in a candidate, etc. Based on this, a job-skill matrix was developed which formed the basis for the design of this assessment program. Core and Working Committees from the industry were formed and constant interactions were made to make sure that the program was in line with the industry requirements. An evaluation committee was set up to finalize the vendors and decide on the approach to the pilot. Multi-tier evaluation of the vendors happened after the initial interaction. The identified vendors provided the content and technology to run the test. The companies that have helped develop the assessment program are - TCS, Wipro, Infosys, Accenture, Cognizant and HCL.
In fiercely competitive industries, data analytics platforms are implemented to enable the best use of analytics. As the world produces exponentially more data over time, there is an increasing need to acquire the data, organise it, and study it.
The basics of obtaining, loading, and efficiently manipulating raw data from diverse sources to achieve business goals will be taught to learners, along with industry best practises for managing various forms of data, proper manipulation, and coding. They will experience first-hand real-world issues with non-trial datasets. The learner will leave this course at MAGES Institute with the abilities and resources needed to approach business data issues programmatically.
Overview of Effective Learning Analytics Using data and analytics to support ...Bart Rienties
Begona Nunez-Herran and Kevin Mayles (Data and Student Analytics), Rebecca Ward (Data Strategy and Governance)
-Move towards centralised LA data infrastructure
-Data governance and lessons learned
Prof Bart Rienties & PhD students (Institute of Educational Technology)
-What is the latest “blue sky” learning analytics research from the OU?
-Rogers Kalissa: Social Learning Analytics to support teaching (University of Oslo)
-Saman Rizvi: Cultural impact of MOOC learning (IET)
-Shi Min Chua: Why does no one reply to my posts (IET/WELS)
-Maina Korir: Ethics and LA (IET)
-Anna Gillespie: Predictive Learning Analytics and role of tutors (EdD)
Prof John Domingue (Knowledge Media Institute) & Dr Thea Herodotou (IET)
-What have we learned from 5 years of large scale implementation of OU Analyse?
-Where is LA/AI going?
In this webinar, Universum Americas Head of Research & Insight Kevin Troy discusses how employers can attract and engage STEM students. Using data-driven insight, this webinar explores the importance of brand ambassadors, uncover what STEM talent wants from their employers, and walks through how to balance different communication channels in your recruitment efforts.
Data Science with r programming course has been designed after consulting some of the best professionals in the industry and the faculties teaching at the best of the universities. The reason we have done this is because we wanted to embed the topics and techniques which are practiced in the industry, conduct them with the help of pedagogy which is followed across universities – kind of practical data science with R implementation. In doing so, we prepare our learners to learn data science with R programming in a more industry/job ready fashion. IgmGuru’s Data Science with R certification course is the gateway towards your Data Science career.
https://www.igmguru.com/data-science-bi/data-science-with-r/
How is Generative AI Revolutionizing Content Creation in AR/VR?JeniferJenkins2
Content creation for AR/VR experiences requires immense creativity and technical expertise.
Generative AI, a subset of artificial intelligence, is playing a pivotal role in transforming the way content is created for AR/VR.
The Future of Generative AI in AR/VR Industry in Singapore JeniferJenkins2
The creative industry in Singapore has the potential to thrive with the help of VR and AR. Generative AI enables creativity and automation in content creation.
More Related Content
Similar to Data Analysis and Data Wrangling with Python (SC221).pptx
Is your nonprofit using surveys to gain insights and make data-driven decisions? Most nonprofits struggle with this because, even though surveys are familiar, they are difficult to create, manage, and run effectively. This webinar will walk you through five things that every nonprofit should consider while doing surveys and research.
Things we will cover:
How to run a highly effective online research survey
How to craft your survey questions
How to get the most out of survey templates for nonprofits
How data-driven decisions drive impact for nonprofits
How to efficiently use online survey tools to start your research
5/25/2020 Rubric Detail – 31228.202030
https://ucumberlands.blackboard.com/webapps/rubric/do/course/gradeRubric?mode=grid&isPopup=true&rubricCount=1&prefix=_843783_1&course_i… 1/4
Rubric Detail
A rubric lists grading criteria that instructors use to evaluate student work. Your instructor linked a rubric to this item
and made it available to you. Select Grid View or List View to change the rubric's layout.
Show Descriptions Show Feedback
Name: ITS836 (8 Week) Research Paper Rubric
Description: Please use this rubric for grading research papers
Exit
Grid View List View
No requirements are met
Includes a few of the required components as speci�ed in the assignment.
Includes some of the required components as speci�ed in the assignment.
Includes most of the required components as speci�ed in the assignment.
Includes all of the required components as speci�ed in the assignment.
Requirements
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
Fails to provide enough content to show a demonstration of knowledge
Major errors or omissions in demonstration of knowledge.
Some signi�cant but not major errors or omissions in demonstration of knowledge.
A few errors or omissions in demonstration of knowledge.
Demonstrates strong or adequate knowledge of the materials; correctly represents knowledge
from the readings and sources.
Content
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
5/25/2020 Rubric Detail – 31228.202030
https://ucumberlands.blackboard.com/webapps/rubric/do/course/gradeRubric?mode=grid&isPopup=true&rubricCount=1&prefix=_843783_1&course_i… 2/4
g
Fails to provide a critical thinking analysis and interpretation
Major errors or omissions in analysis and interpretation.
Some signi�cant but not major errors or omissions in analysis and interpretation.
A few errors or omissions in analysis and interpretation.
Provides a strong critical analysis and interpretation of the information given.
Critical Analysis
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Fails to demonstrate problem solving.
Major errors or omissions in problem solving.
Some signi�cant but not major errors or omissions in problem solving.
A few errors or omissions in problem solving.
Demonstrates strong or adequate thought and insight in problem solving.
Problem Solving
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Source or example selection and integration of knowledge.
Lifecycle Integration with the University of KentuckySalesforce.org
Presentation from Salesforce.org Higher Ed Summit 2018 by: Tyler Gayheart, Office of Strategic Communication.
The University of Kentucky is embarking on a lifecycle enterprise approach to our digital and constituency relationship management (CRM) by way of a Enterprise Level Agreement (ELA) with Salesforce.org with the intention to deploy Salesforce for prospect, current student, alumni and donor operations carrying out over a multi-year period. This session will cover the process for planning, acquiring and building a lifecycle approach to deploying Salesforce across the enterprise at the University of Kentucky. An overview of activities will be shared from the completed phases of the project and speak to how the institutions plans to transform the way they engage prospects, current students, donors, alumni of the University.
Watch a recording of this presentation: https://youtu.be/8vKmN0oyIDM
A brief overview of the Professional Certificate in Data Science Course at MAGES Institute, a 6mth program design for non-ICT personnel for a career-transition into ICT Sector.
Could you increase your knowledge—and raise your grade—i.docxfaithxdunce63732
Could you increase your knowledge—
and raise your grade—if you…
…used an online tutorial that assisted you with Access
and Excel skills mapped to this book?
…learned to use Microsoft’s SharePoint, the number one
organizational tool for file sharing and collaboration?
…had flashcards and student PowerPoints
to prepare for lectures?
Visit , a valuable tool
for your student success and your
business career.
www.myMISlab.com
www.myMISlab.com
INTEGRATING BUSINESS WITH TECHNOLOGY
By completing the projects in this text, students will be able to demonstrate business knowledge, application
software proficiency, and Internet skills.These projects can be used by instructors as learning assessment tools
and by students as demonstrations of business, software, and problem-solving skills to future employers. Here
are some of the skills and competencies students using this text will be able to demonstrate:
Business Application skills: Use of both business and software skills in real-world business applications.
Demonstrates both business knowledge and proficiency in spreadsheet, database, and Web page/blog creation
tools.
Internet skills: Ability to use Internet tools to access information, conduct research, or perform online
calculations and analysis.
Analytical, writing and presentation skills: Ability to research a specific topic, analyze a problem, think
creatively, suggest a solution, and prepare a clear written or oral presentation of the solution, working either
individually or with others in a group.
Business Application Skills
BUSINESS SKILLS
Finance and Accounting
Financial statement analysis
Pricing hardware anrj software
Technology rent vs. buy decision
Total Cost of Ownership (TCO) analysis
Analyzing telecommunications services anrj costs
Risk assessment
Retirement planning
Capital budgeting
Human Resources
Employee training and skills tracking
Job posting database and Web page
Manufacturing and Production
Analyzing supplier performance and pricing
Inventory management
Bill of materials cost sensitivity analysis
Sales and Marketing
Sales trend analysis
SOFTWARE SKILLS
Spreadsheet charts
Spreadsheet formulas
Spreadsheet downloading and formatting
Spreadsheet formulas
Spreadsheet formulas
Spreadsheet formulas
Spreadsheet charts and formulas
Spreadsheet formulas and logical functions
Spreadsheet formulas
Database design
Database querying and reporting
Database design
Web page design and creation
Spreadsheet date functions
Database functions
Data filtering
Importing data into a database
Database querying and reporting
Spreadsheet data tables
Spreadsheet formulas
Database querying and reporting
CHAPTER
Chapter 2*
Chapter 10
Chapter 5
Chapter 5*
Chapter 7
Chapter 8
Chapter 11
Chapter 14
Chapter 14*
Chapter 13*
Chapter 15
Chapter 2
Chapter 6
Chapter 12*
Chapter 1
Customer reservation system
Improving marketing decisions
Customer profiling
Customer service analysis
Sales lead and.
Learning and Business Impact: Making the Case through Metrics and AnalyticsHuman Capital Media
Proving the impact of a single learning investment is relatively easy. Answering the broader question of “What impact is L&D having on the business?” is hard. In this Spotlight webinar, Ericsson’s global head of learning measurement and analytics will share how he’s guiding assessment, evaluation and measurement strategies that provide data to help executives understand the impact of employee learning on business performance.
During this session, attendees will:
Identify ways that analytics is shaping learning measurement.
Describe components of a measurement map.
Identify the level of measurement maturity in their organization.
Learning and Business Impact: Making the Case through Metrics and AnalyticsCornerstone OnDemand
Proving the impact of a single learning investment is relatively easy. Answering the broader question of "What impact is L&D having on the business?" is hard.
Using Net Promoter Score (NPS) to Increase Course EngagementLambda Solutions
A core activity of measuring how Learners engage with your course is measuring their reaction to it. A popular technique to measure customer experience is Net Promoter Score (NPS). Most organizations struggle to effectively structure an NPS survey, which overwhelms or makes it extraordinarily hard to use the data to make improvements.
In this webinar, we explore best practices in creating NPS surveys, analyzing the data, and applying lean learning analytics techniques to use the feedback to continuously improve your courses.
Tune in!
NAC-Tech has been conceived as an industry standard assessment and certification program to ensure the transformation of a "trainable" workforce into an "employable" workforce, hence creating a robust and continuous pipeline of talent for the IT/Engineering Industry. It is targeted at final year and pre-final year students, who will be seeking employment opportunities in the IT / Engineering sector.
The intent behind assessing these students is to identify the level of talent which is available across India, especially in Tier II and Tier III cities and provide feedback to them on areas they need to work on to improve their employ-ability.
Conceptualization of NAC-Tech
In-depth meetings with the large recruiters in the industry were conducted to understand their recruitment practices, cause of attrition desired skills in a candidate, etc. Based on this, a job-skill matrix was developed which formed the basis for the design of this assessment program. Core and Working Committees from the industry were formed and constant interactions were made to make sure that the program was in line with the industry requirements. An evaluation committee was set up to finalize the vendors and decide on the approach to the pilot. Multi-tier evaluation of the vendors happened after the initial interaction. The identified vendors provided the content and technology to run the test. The companies that have helped develop the assessment program are - TCS, Wipro, Infosys, Accenture, Cognizant and HCL.
In fiercely competitive industries, data analytics platforms are implemented to enable the best use of analytics. As the world produces exponentially more data over time, there is an increasing need to acquire the data, organise it, and study it.
The basics of obtaining, loading, and efficiently manipulating raw data from diverse sources to achieve business goals will be taught to learners, along with industry best practises for managing various forms of data, proper manipulation, and coding. They will experience first-hand real-world issues with non-trial datasets. The learner will leave this course at MAGES Institute with the abilities and resources needed to approach business data issues programmatically.
Overview of Effective Learning Analytics Using data and analytics to support ...Bart Rienties
Begona Nunez-Herran and Kevin Mayles (Data and Student Analytics), Rebecca Ward (Data Strategy and Governance)
-Move towards centralised LA data infrastructure
-Data governance and lessons learned
Prof Bart Rienties & PhD students (Institute of Educational Technology)
-What is the latest “blue sky” learning analytics research from the OU?
-Rogers Kalissa: Social Learning Analytics to support teaching (University of Oslo)
-Saman Rizvi: Cultural impact of MOOC learning (IET)
-Shi Min Chua: Why does no one reply to my posts (IET/WELS)
-Maina Korir: Ethics and LA (IET)
-Anna Gillespie: Predictive Learning Analytics and role of tutors (EdD)
Prof John Domingue (Knowledge Media Institute) & Dr Thea Herodotou (IET)
-What have we learned from 5 years of large scale implementation of OU Analyse?
-Where is LA/AI going?
In this webinar, Universum Americas Head of Research & Insight Kevin Troy discusses how employers can attract and engage STEM students. Using data-driven insight, this webinar explores the importance of brand ambassadors, uncover what STEM talent wants from their employers, and walks through how to balance different communication channels in your recruitment efforts.
Data Science with r programming course has been designed after consulting some of the best professionals in the industry and the faculties teaching at the best of the universities. The reason we have done this is because we wanted to embed the topics and techniques which are practiced in the industry, conduct them with the help of pedagogy which is followed across universities – kind of practical data science with R implementation. In doing so, we prepare our learners to learn data science with R programming in a more industry/job ready fashion. IgmGuru’s Data Science with R certification course is the gateway towards your Data Science career.
https://www.igmguru.com/data-science-bi/data-science-with-r/
Similar to Data Analysis and Data Wrangling with Python (SC221).pptx (20)
How is Generative AI Revolutionizing Content Creation in AR/VR?JeniferJenkins2
Content creation for AR/VR experiences requires immense creativity and technical expertise.
Generative AI, a subset of artificial intelligence, is playing a pivotal role in transforming the way content is created for AR/VR.
The Future of Generative AI in AR/VR Industry in Singapore JeniferJenkins2
The creative industry in Singapore has the potential to thrive with the help of VR and AR. Generative AI enables creativity and automation in content creation.
Full Stack Web Development | MAGES Institute JeniferJenkins2
The MAGES Institute is pleased to provide a Full Stack Web Development course in Singapore to students from all around the world as society shifts more and more of daily life online. Participants in our intense 6-month programme are put on the quickest path to becoming Full-Stack Developers. A career in full-stack development is among the most lucrative ones in the industry. The visible portions of a website or app, the hidden databases and infrastructure, and all of the interactions in between are all things that experts in this discipline are able to work with.
As AR, VR and XR are set to dominate the interactive technology market, A technology-focused programming-centric course for the most in-demand industry, the Diploma in XR Immersive is a 12-month intensive program administered by Unity Certified and Unreal Authorised Trainers with vast industry experience.
A brief glimpse at the Professional certificate Augmented and virtual reality course at MAGES Institute, a 6mth part-time intensive program designed for career transition into the AR/VR industry. Students will end the course with their own Capstone Project, where they use the skills learnt to solve a real-world business problem and subsequently enter the industry with their portfolio.
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Data Analysis and Data Wrangling with Python (SC221).pptx
1. PYTHON COURSE FOR DATA SCIENCE
DATA ANALYSIS
AND
DATA WRANGLING
BRIDGING DIMENSIONS
CONVERT RAW DATA INTO ACTIONABLE
INSIGHTS
SUPPORTED
BY
2. TOPICS
Why Learn Data
Science
01
How much Data
is Generated?
02 What is the Earning
Potentials?
03
Program Details
05 Trainer and
Mentors
06
Students’ Projects
& Testimonials
07 Fees & Admission
Process
08
MAGES Institute &
MAGES Studio
04
3.
4.
5. HOW MUCH
DATA IS GENERATED?
Data is being created all the time without us even
noticing it. Much of what we do every day now
happens in the digital realm, leaving an ever-
increasing digital trail that can be measured and
analyzed.
Netflix
Subscribers Stream
77,160 Hours
of Video
UBER
Passengers take
694 Rides Facebook
Users Like
4,166,667
Posts
Twitter
Users Send
347,222
Tweets
YouTube
Users Upload
300 Hours of
new video
Instagram
Users Like
1,736,111
Photos
Pinterest
Users Pin
9,722 Images
Apple
Users Download
51,000 Apps
Reddit
Users CAst
18,327 Votes
Amazon
Receives
4,310 Unique
Visitors
Vine
Users Play
1,041,666
Videos
Tinder
Users Swipe
590,278 Times
Snapchat
Users Share
284,722
Snaps
Buzzfeed
Users View
34,150 Videos
Skype
Users Make
110,040 Calls
Every
Minute of
the Day
6.
7. DATA SCIENCE IN VARIOUS INDUSTRIES
Machine Learning
− Data science is leveraged to
disrupt ML based application
Medical
− Disease prediction
− Analyze patient recovery growth
Insurance
− Fraud and risk detection
− Insurance claims prediction
Retail
− Analyze Consumer Behaviors
− Predict Product Pricing
Enterprise
− Capturing data volume, variety
and value
Healthcare
− Detect Causes of disease
− Risk prediction
Digital Marketing
− Detect targeted audience
− Demographic behavior analysis
Funding
− Detect possible fundraisers
9. ADVANCED PYTHON FOR DATA
SCIENCE
Assessment
1 Hour
33
Hours
6
Hours
F2F lectures
E-learning
Quizzes and
Exercises
10. MODULES
Data Analysis and Data Wrangling with Python
PRACTICAL OUTCOME BASED ON INDUSTRY
REQUIREMENTS
LU1 – Preparation of Data
Select the best tools and learn the right techniques to wrangle the collected data
Analysis of Data
Evaluate and analyse the data using appropriate tools and techniques based on
business objectives to maximize
Collation and Presentation of Data
Derive insights by performing visual analysis on real world data and articulate how
these insights impact business decisions and lead to improved business objectives
11. TOPICS COVERED
Understanding the Business Domain and
its requirements.
01
Understanding the Dataset - Quality and
Quantity
03
Import data sets
Types of data using tools and
techniques
02
Tools and Techniques for Data Analysis
Importing and Exporting Data in Python
04
Chosen data sets
Clean and prepare data for analysis
05
Manipulate Data Frame
Summarize data
Insights from Data
06
12. LEARNING OUTCOME
Python for Data Science
Select the best tools and learn the right
techniques to wrangle the collected Data.
01
Derive insights by performing visual
analysis on real world DatA.
03
Evaluate and analyse the Data using
appropriate tools and techniques based
on business objectives to maximize
02
Articulate how these insights can
impact/improve business decisions
04
14. THOMAS O’DELL
Adjunct Lecturer in MAGES Institute of
Excellence and Republic Polytechnic B.A
Honours in Computer Science, University of
Toronto, Canada
Thomas significant experience in the IT industry enriches both his industrial
training and his academic teaching
With over 25 years of working experience, in companies such as ICONIX
International and Delcan Corporation in Toronto, Canada.
Vast On-the-Ground Experience
MENTOR | TRAINER
16. Write a one-page memo describing
your color and format choices and how
you customized this visualization to fit
the needs of your audience
Written Task
To see the status of the project
Attempting to see the performance of
the country
Attempting to see the performance of
the submitting officer
Objectives
To use color to determine the size
of project
Color Selection
Click on the size of the project will be able
to see the submitting officer and the
respective country involved and size of
the total project.
Format Selection
17.
18. The. Majority of Top 100 Universities come from USA,
who has about 8x more top 100 universities than the
next best country: the UK. The difference between the
number of top 100 universities between the UK, Japan,
France, and Switzerland is less drastic compared to
the disparity between USA and UK.
With only integers, it's difficult to see if USA is the best
place to go for a quality education because we should
be using a percentage figure of: (Number of world rank
Top 100 schools / Total Universities in country) *100 to
get a more accurate representation.
Top 5 Countries w Highest numbers of
Top 100 Units
19. THE FUTURE STARTS HERE
PYTHON COURSE IN
DATA WRANGLING
AND ANALYSIS
Thank You for taking the First Step.
Convert raw data into actionable information
SUPPORTED
BY
THANK YOU