Learn the concept of Data Science by uniting Statistics, mathematics, computer science and domain knowledge and information science to extract structured and unstructured data’s.
Attend The Data Science Course in Bangalore From ExcelR. Practical Data Science Course in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Course in Bangalore.
Data scientists and IT push the limits of what's possible -- whether that's operating more efficiently, taking advantage of new opportunities, or innovating. Here are 5 ways businesses can boost their effectiveness.
For more: http://blog.tyronesystems.com/
DISUMMIT - Rishi Nalin Kumar from DatakindDigitYser
Rishi Nalin Kumar
Chief Scientist at eBench
Half professional, half collaborator, one quarter mathematician. Currently at eBench helping brands understand their consumers and win with their content. Previously leading data science & analytics in large-corporate consumer goods with a light touch of news & media. Proud volunteer at DataKind and a regular on the data & analytics speaker circuit.
DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making DigitYser
Dr. Kirk Borne is a Principal Data Scientist at Booz Allen Hamilton. With a rich background in Astrophysics and Computational Science, he was a precursor on implementing courses of big data in academia. He is one of the most important promotors of data literacy in the world.
About Kirk and his view on data literacy and evolution
On his first visit to Brussels, Kirk first activity was sharing his best practices to promote data literacy. While enjoying a magnificent view of Brussels from the ING headquarter building, Kirk playfully (with a pair of socks!) explained how subjectivity plays a major role in the way that data is understood, derived by the wide variety of involved. This keynote was delivered at the speakers reception, which took place the day before the DI Summit.
The following day, Kirk wrapped up the DI summit with his closing keynote on how data has shifted into something that is sense-making, following the evolution from “data” to “big data” into “smart data” composed by both enriched and semantic data and essential for IoT. He also discussed the levels of maturity in a self-driving enterprise, wrapping up his participation sharing this equation:
Big Data + IoT + Citizen Data Scientists = Partners in Sustainability
Kirk’s impression on the DI Summit was that it was a fun and informative event to join. His favorite format were the 5” pitches, as they were properly structured, providing the most critical information to the attendees. He also think that the networking dynamic ensured that all attendees met interesting people.
A takeaway from Kirk’s presentation
“Big data is not about how big it is, but the value you extract from it”
We look forward to have Kirk sometime soon back in Brussels!
Kirk’s interview:
Kirk’s presentation recording:
Kirk’s decks:
Kirk’s presentation drawing:
2) Here are some video interviews that I have done:
https://www.youtube.com/watch?v=ku2na1mLZZ8
https://www.youtube.com/watch?v=iXjvht91nFk
Here is my TedX talk: https://www.youtube.com/watch?v=Zr02fMBfuRA
Data analytics with managerial application ass 2Nishant Kumar
This presentation depicts insights of the article "Data Scientist: The Sexiest Job of the 21st Century", and also how these insight are relevant to a manager in india.
Data Rules The World We Live In, And In Fact, Has Been Dubbed The “OIL” Of The 21st Century. Being A Data Science Professional In Today’s World Is A Great Carrier Path To Shine. If You Want To Shine In This Carrier Path Then Appin Coimbatore Is The Best Choice.
It is the basics of what is Big Data and What are the challenges for Big Data Analysis. This slides are for beginners of computer engineering....Hope this will be somewhat helpful!!!
Attend The Data Science Course in Bangalore From ExcelR. Practical Data Science Course in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Course in Bangalore.
Data scientists and IT push the limits of what's possible -- whether that's operating more efficiently, taking advantage of new opportunities, or innovating. Here are 5 ways businesses can boost their effectiveness.
For more: http://blog.tyronesystems.com/
DISUMMIT - Rishi Nalin Kumar from DatakindDigitYser
Rishi Nalin Kumar
Chief Scientist at eBench
Half professional, half collaborator, one quarter mathematician. Currently at eBench helping brands understand their consumers and win with their content. Previously leading data science & analytics in large-corporate consumer goods with a light touch of news & media. Proud volunteer at DataKind and a regular on the data & analytics speaker circuit.
DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making DigitYser
Dr. Kirk Borne is a Principal Data Scientist at Booz Allen Hamilton. With a rich background in Astrophysics and Computational Science, he was a precursor on implementing courses of big data in academia. He is one of the most important promotors of data literacy in the world.
About Kirk and his view on data literacy and evolution
On his first visit to Brussels, Kirk first activity was sharing his best practices to promote data literacy. While enjoying a magnificent view of Brussels from the ING headquarter building, Kirk playfully (with a pair of socks!) explained how subjectivity plays a major role in the way that data is understood, derived by the wide variety of involved. This keynote was delivered at the speakers reception, which took place the day before the DI Summit.
The following day, Kirk wrapped up the DI summit with his closing keynote on how data has shifted into something that is sense-making, following the evolution from “data” to “big data” into “smart data” composed by both enriched and semantic data and essential for IoT. He also discussed the levels of maturity in a self-driving enterprise, wrapping up his participation sharing this equation:
Big Data + IoT + Citizen Data Scientists = Partners in Sustainability
Kirk’s impression on the DI Summit was that it was a fun and informative event to join. His favorite format were the 5” pitches, as they were properly structured, providing the most critical information to the attendees. He also think that the networking dynamic ensured that all attendees met interesting people.
A takeaway from Kirk’s presentation
“Big data is not about how big it is, but the value you extract from it”
We look forward to have Kirk sometime soon back in Brussels!
Kirk’s interview:
Kirk’s presentation recording:
Kirk’s decks:
Kirk’s presentation drawing:
2) Here are some video interviews that I have done:
https://www.youtube.com/watch?v=ku2na1mLZZ8
https://www.youtube.com/watch?v=iXjvht91nFk
Here is my TedX talk: https://www.youtube.com/watch?v=Zr02fMBfuRA
Data analytics with managerial application ass 2Nishant Kumar
This presentation depicts insights of the article "Data Scientist: The Sexiest Job of the 21st Century", and also how these insight are relevant to a manager in india.
Data Rules The World We Live In, And In Fact, Has Been Dubbed The “OIL” Of The 21st Century. Being A Data Science Professional In Today’s World Is A Great Carrier Path To Shine. If You Want To Shine In This Carrier Path Then Appin Coimbatore Is The Best Choice.
It is the basics of what is Big Data and What are the challenges for Big Data Analysis. This slides are for beginners of computer engineering....Hope this will be somewhat helpful!!!
WHAT IS DATA AND INFORMATION SCIENCE?
• IMPORTANCE
• WORKING
• DATA & INFORMATION
• ROLE OF DATA AND INFORMATION IN IT
• IMPORTANCE OF INFORMATION SCIENCE
• HOW DATA SCIENCE WILL BE CONDUCTED
Career Prospects and Scope of Data Science in Indiaachaljain11
Data Science refers to the theories, collective processes, concepts, technologies and tools that help to analyze, review and extract key information from raw data.
In today’s business terms, data science is all about using the raw data to make better decisions and generate business value.
The 2014 IDG Enterprise Big Data research was completed with the goal of gaining a better understanding of organizations’ big data initiatives, investments and strategies. Additional information on the research can be found here: http://bit.ly/1cW0wWR.
Data Science Salon: Building a Data Science CultureFormulatedby
Catalina is a Data Scientist with a specialty in building out scalable data solutions for startups.
Next DSS MIA Event - https://datascience.salon/miami/
There's a huge hype around the power of data science across industries. However, not all companies have been able to successfully build out their data science capabilities, and some are just starting to think about doing so. Just as each business is unique, each data science endeavor is unique. In this talk, we explore both the non-negotiables in building a data science culture and how to tailor your data science initiatives to match your business needs at different stages of your journey towards reaping the benefits of a data science culture.
Ellicium's Gadfly - Next Generation Big Data Text Analytics Platform Ellicium Solutions Inc.
Ellicium's Gadfly is next generation Big Data text analytics platform.
Gadfly uses following data to derive insights:
1) Social Media Data
2) Email Exchange Data
3) Legal And Contractual Documents
4) Interview Text
5) Customer Review
6) Medical Transcripts
Gadfly use cases:
- Social media based lending scorecards
- Classification of legal, contractual and medical documents
- Automated monitoring of government regulations
- Achieving Regulatory Compliance leveraging large Text Data
- Analysis of Large Set of Documents
- Augment customer analytics with insights from unstructured data
- New product feature recognition
- Social Media Sentiments for businesses
Data Science Salon: Culture, Data Engineering and Hamburger Stands: Thoughts ...Formulatedby
Presented by Becky Tucker, Data Scientist at Netflix
Next DSS NYC Event 👉 https://datascience.salon/newyork/
Next DSS LA Event 👉 https://datascience.salon/la/
Becky Tucker is speaking about how Netflix culture uniquely interacts with data science, the importance of data engineering to our data science teams, how their teams are structured to do data science "at scale," and what "data science at scale" looks like for her.
Dr Bonnie Cheuk IDC Future of Work Keynote: Workforce Transformation Human Ma...Bonnie Cheuk
Dr Bonnie Cheuk, AstraZeneca Digital Transformation & Global Capability Leader (Learning Culture and Learning Agility), delivered a keynote at IDC Future of Work Conference on 3 Mar 2020. She provoked the audience to go beyond the hype, and think deeper on how human and AI and data-driven Machine collaborate together.
These 3 questions were discussed:
1. How should human and machine collaborate? What skills are required?
2. Will machines replace (most) jobs?
3. Will there be new jobs to enable human-machine collaboration?
Drawing on Dervin's Sense-Making Methodology, Bonnie reminded us that human beings are not robotic machines. Human beings have feelings, experience, we are both scientists and artists, we are analytics and we are emotional.
Bonnie asked the audience how would you like to build a high performance team? Who do you want to put in the team? Do you want everyone to have the same strength, same skills? Or would you pick a team making up of players who can complement one another, and can bring out the best of one another. So in order to propose how human and machine should collaborate in the future of work, it is useful to first ask: what is the strength of human beings? What is the strength of the machine? We need to understanding how AI-driven machines learn vs how human beings learned, and play to one another's strength. And what is the strength of human? It is being human. Let the machine handle the deductive reasoning, the data-driven predictions, repetitive tasks. Let the humans do what we do well, adapting, navigating the unknown, use our human skills, promote collective sense making to make judgement, decisions. And free up the time to allow us to learn, create and innovate.
Bonnie highlighted that there are many unknowns as to how AI will be further developed, and there are ethical issues and risks that have to be addressed, and there are no precedents to follow. Collective human sense making is critical to bring out multiple perspectives from different stakeholders, to co-create AI-driven machines that human beings can trust, and to collectively address tricky ethical issues early on. Dervin’s Sense-Making Metaphor is introduced to facilitate two-way dialogue, to address power issues, and to explore common and divergent views to build common understanding of potential challenges, and co-create solutions to address them.
This study evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
Data Science is among the most advanced and widely used technologies that have been transforming the way industries operate. As per the US Bureau of Labor Statistics, Data Science Skills will drive a 27.9% surge in employment in the field by 2026. There are several such interesting facts related to data science industry that indicates there are number of career opportunities available in this domain. Not only that, as the amount of data is increasing at an unprecedented rate, the data science market is also poised to grow manifold leading to increased demand of data science professionals. USDSI brings one of its kind factsheet that gives a detailed insights on where the data science is going. Read more for a clear overview of this industry. https://www.usdsi.org/data-science-insights/resources/factsheet-data-science-careers-in-2024
USDSI® brings to you Data Science Career 2024 Factsheet. Get access to all the information you need to know including salaries, job outlook, and industry trends. bit.ly/48eB8M5
What does it_takes_to_be_a_good_data_scientist_2019_aim_simplilearnPraj H
Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”.
WHAT IS DATA AND INFORMATION SCIENCE?
• IMPORTANCE
• WORKING
• DATA & INFORMATION
• ROLE OF DATA AND INFORMATION IN IT
• IMPORTANCE OF INFORMATION SCIENCE
• HOW DATA SCIENCE WILL BE CONDUCTED
Career Prospects and Scope of Data Science in Indiaachaljain11
Data Science refers to the theories, collective processes, concepts, technologies and tools that help to analyze, review and extract key information from raw data.
In today’s business terms, data science is all about using the raw data to make better decisions and generate business value.
The 2014 IDG Enterprise Big Data research was completed with the goal of gaining a better understanding of organizations’ big data initiatives, investments and strategies. Additional information on the research can be found here: http://bit.ly/1cW0wWR.
Data Science Salon: Building a Data Science CultureFormulatedby
Catalina is a Data Scientist with a specialty in building out scalable data solutions for startups.
Next DSS MIA Event - https://datascience.salon/miami/
There's a huge hype around the power of data science across industries. However, not all companies have been able to successfully build out their data science capabilities, and some are just starting to think about doing so. Just as each business is unique, each data science endeavor is unique. In this talk, we explore both the non-negotiables in building a data science culture and how to tailor your data science initiatives to match your business needs at different stages of your journey towards reaping the benefits of a data science culture.
Ellicium's Gadfly - Next Generation Big Data Text Analytics Platform Ellicium Solutions Inc.
Ellicium's Gadfly is next generation Big Data text analytics platform.
Gadfly uses following data to derive insights:
1) Social Media Data
2) Email Exchange Data
3) Legal And Contractual Documents
4) Interview Text
5) Customer Review
6) Medical Transcripts
Gadfly use cases:
- Social media based lending scorecards
- Classification of legal, contractual and medical documents
- Automated monitoring of government regulations
- Achieving Regulatory Compliance leveraging large Text Data
- Analysis of Large Set of Documents
- Augment customer analytics with insights from unstructured data
- New product feature recognition
- Social Media Sentiments for businesses
Data Science Salon: Culture, Data Engineering and Hamburger Stands: Thoughts ...Formulatedby
Presented by Becky Tucker, Data Scientist at Netflix
Next DSS NYC Event 👉 https://datascience.salon/newyork/
Next DSS LA Event 👉 https://datascience.salon/la/
Becky Tucker is speaking about how Netflix culture uniquely interacts with data science, the importance of data engineering to our data science teams, how their teams are structured to do data science "at scale," and what "data science at scale" looks like for her.
Dr Bonnie Cheuk IDC Future of Work Keynote: Workforce Transformation Human Ma...Bonnie Cheuk
Dr Bonnie Cheuk, AstraZeneca Digital Transformation & Global Capability Leader (Learning Culture and Learning Agility), delivered a keynote at IDC Future of Work Conference on 3 Mar 2020. She provoked the audience to go beyond the hype, and think deeper on how human and AI and data-driven Machine collaborate together.
These 3 questions were discussed:
1. How should human and machine collaborate? What skills are required?
2. Will machines replace (most) jobs?
3. Will there be new jobs to enable human-machine collaboration?
Drawing on Dervin's Sense-Making Methodology, Bonnie reminded us that human beings are not robotic machines. Human beings have feelings, experience, we are both scientists and artists, we are analytics and we are emotional.
Bonnie asked the audience how would you like to build a high performance team? Who do you want to put in the team? Do you want everyone to have the same strength, same skills? Or would you pick a team making up of players who can complement one another, and can bring out the best of one another. So in order to propose how human and machine should collaborate in the future of work, it is useful to first ask: what is the strength of human beings? What is the strength of the machine? We need to understanding how AI-driven machines learn vs how human beings learned, and play to one another's strength. And what is the strength of human? It is being human. Let the machine handle the deductive reasoning, the data-driven predictions, repetitive tasks. Let the humans do what we do well, adapting, navigating the unknown, use our human skills, promote collective sense making to make judgement, decisions. And free up the time to allow us to learn, create and innovate.
Bonnie highlighted that there are many unknowns as to how AI will be further developed, and there are ethical issues and risks that have to be addressed, and there are no precedents to follow. Collective human sense making is critical to bring out multiple perspectives from different stakeholders, to co-create AI-driven machines that human beings can trust, and to collectively address tricky ethical issues early on. Dervin’s Sense-Making Metaphor is introduced to facilitate two-way dialogue, to address power issues, and to explore common and divergent views to build common understanding of potential challenges, and co-create solutions to address them.
This study evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
Data Science is among the most advanced and widely used technologies that have been transforming the way industries operate. As per the US Bureau of Labor Statistics, Data Science Skills will drive a 27.9% surge in employment in the field by 2026. There are several such interesting facts related to data science industry that indicates there are number of career opportunities available in this domain. Not only that, as the amount of data is increasing at an unprecedented rate, the data science market is also poised to grow manifold leading to increased demand of data science professionals. USDSI brings one of its kind factsheet that gives a detailed insights on where the data science is going. Read more for a clear overview of this industry. https://www.usdsi.org/data-science-insights/resources/factsheet-data-science-careers-in-2024
USDSI® brings to you Data Science Career 2024 Factsheet. Get access to all the information you need to know including salaries, job outlook, and industry trends. bit.ly/48eB8M5
What does it_takes_to_be_a_good_data_scientist_2019_aim_simplilearnPraj H
Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”.
Data science is the sheer skill to gain competence in making sense of all the data pools that are being generated by organizations worldwide. From being the most promising and the hottest jobs in the world in 2023 global rankings by the World Economic Forum, you are sure to gain as a certified data scientist in the years to follow as well.
The 10 best data science training institutes in india 2020Merry D'souza
Through this edition, ‘The 10 Best Data Science Training Institutes in India 2020’, The Knowledge Review tries to portray some of Best Data Science Training Institutes in India out there in order to create a glimpse of the inspiration for others to follow and August on their trail or create a new one.
10 POPULAR DATA SCIENCE TOOLS TO CONSIDER EXPLORINGUSDSI
Get maximum competence in top data science tools to power creative data visualization. Explore the variety of data science tools that can enable high-end data optimization for business amplification.
In a few years, the position of data scientist is expected to be the highest paying one. The
potential for expansion is astounding! These are the appropriate talents for the employment
roles in this industry.
Web Desk for India Today Since the 2020 pandemic, digitization has taken center stage, and
businesses all around the world have invested in cutting-edge technologies to improve their
productivity. Data scienc
As 2017 begins, we are seeing big data and data science communities engage with new tools that specifically cater to data scientists and data engineers who aren’t necessarily experts in these techniques. Given rapid technological advances, the question for companies now is how to integrate new data science capabilities into their operations and strategies—and position themselves in a world where analytics can upend entire industries. Leading companies are using their data science capabilities not only to improve their core operations but also to launch entirely new business models.
"Unlock your data science potential with Digicrome's comprehensive student Welcome to the Digicrome Student Handbook! This comprehensive guide is designed to provide you with all the information you need to excel in your journey to becoming a data scientist. Let's dive in!
At Digicrome, we offer a top-notch online Data Science course that covers a wide range of essential concepts and tools. From Python programming to advanced Python concepts, from data visualization to statistics, from machine learning to SQL, our course encompasses all the key areas you need to master. Our logical and structured approach makes it easy to comprehend complex topics, ensuring a solid foundation in data science.
Our course features 250 hours of intensive live training, where you'll receive hands-on learning experiences. We believe in practical training, even for students with little or no technical background. You'll work on 25+ projects and 4+ capstone projects, allowing you to apply your knowledge to real-world scenarios. This practical exposure will make you job-ready and equip you with the necessary skills to tackle the challenges of the industry.
We understand the importance of placements, which is why we provide 100% job guarantee to our students. Upon completing our course, you'll have the opportunity to be placed in renowned multinational companies such as Nykaa, Myntra, Cred, Meesho, Razorpay, Wipro, Infosys, TCS, Microsoft, Hungama, PharmEasy, and many more. Our industry connections and partnerships ensure that you have ample opportunities for career growth and development.
To further enhance your learning experience, we offer a 3-month paid internship, allowing you to gain practical experience in a professional setting. You'll also have access to mock interviews conducted by hiring managers, helping you refine your interview skills and boost your confidence.
Our course is backed by seven types of certifications, validating your expertise in various data science domains. These certifications will add significant value to your resume and demonstrate your commitment to professional growth.
To ensure individual attention and guidance, we provide 1:1 sessions with industry mentors. These experienced professionals will guide you through your learning journey, offering personalized support and insights. You'll have the opportunity to learn from their experiences and gain valuable industry insights.
We understand that financial constraints can sometimes hinder educational pursuits. That's why we offer a no-cost EMI option, allowing you to manage your payments conveniently. We also provide discounts of up to 60% off academic fees, making our course more accessible and affordable.
Don't miss the chance to embark on an exciting career as a data scientist. Enroll in the Digicrome Python Data Science course, prepare yourself for the future, and become a professional data scientist. Unlock your potential with Digicrome today!
Why is Data Science a Popular Career Choice.pdfUSDSI
Do you want to become the backbone of big corporates and giant business groups around the world? Beginning your career trajectory by grabbing the perfect spot in the data science certification courses provided around the world. The US Bureau of Labor Statistics projects 35.8% employment growth for data scientists till 2031, over a decade period beginning 2021. The growing use of machine learning and artificial intelligence technologies is another factor driving the demand for professionals skilled in data science.
Brimming with humungous career opportunities, the data science industry is set in motion to yield multitudinous growth opportunities across diversified industries worldwide. By automating procedures, increasing effectiveness, and allowing predictive capabilities, Artificial intelligence and machine learning algorithms hold the ability to change the entire landscape.
Data Science has become a fascinating career choice that calls for working closely with cutting-edge technology and addressing challenges. If you are someone who wishes to work with humungous data, has a passion for numbers, and has a clear vision of setting their career on a thriving path; data science is the right pick for you!
A diversified array of organizations is actively looking for data-hungry professionals who are coarsely skilled at data science to analyze data and churn out business decisions for the greater good of the company. Today is the ripe time to get started with a data science career, that promises an elevated trajectory and nothing else.
With the rise of technological innovations and industrial evolution, massive datasets become unmanageable. The future of such a massive explosion of data calls for an urgent appointment of qualified data scientists; enabling bigger business moves. This is where getting certified in the field makes sense.
Without wasting any further time, it is an advisable move to get certified in key data science skills that are sure to rage in the industry worldwide. Begin with the most trusted names in the data science certifications providers industry today!
https://www.usdsi.org/data-science-insights/why-is-data-science-a-popular-career-choice
The job market for data scientists is highly competitive and attractive because it is a young field. However, getting started can be challenging for anyone trying to enter the data science industry.
Some people return to school, others educate themselves, and yet others enrol in data science bootcamps.
No matter which route you take, data science requires advanced coding skills. Additionally, just like in many technological fields, skill demand and expectations are always changing. Here are the top programming languages for data science to learn in 2022.
To build a career in life, data science is the best course. Learnbay is one of the leading institutes in Canada. They provide training in Data Science, Machine learning, Python programming, Deep Learning Artificial Intelligence, etc. Training sessions in data science in Canada are led by experienced professionals familiar with the industry and who have extensive expertise in the data science workplace. Real-time data science projects from various domains, including banking, finance, retail, healthcare, telecommunications, and marketing are included in our data science in Canada curriculum. It has training centers all over the country including Hyderabad, Bengaluru, Pune, and so on.
for more information visit the site:
https://www.learnbay.co/data-science-course/data-science-course-in-canada/
Learn All about Data Science from the Best Private University in KarnatakaREVA University
Completing Masters in Data Science degree can reshape your career path, though it demands dedication and time to gain the necessary skills and land the right job. To assist you, we've crafted a detailed plan for building a career in Data Science.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
1. What is Data Science ?
➢ Data Science is we do some scientific calculation on data to
get suitable output, a beneficial one.
➢ Data Science = Data + Science
The field of bringing out insight from data using's scientific
techniques is
called data science.
➢ Data Science is a multidisciplinary field that deals with
extracting knowledge and insights from big, unstructured data
set.
➢ It is multidisciplinary because it employs techniques from
many fields, such as mathematics, computer science,
programming, information science and statics to drive
meaningful insights.
5. Will data science be in
demand in the future?
The number of jobs requiring Data Science skills is expected to grow
by 27.9% by 2026, according to the US Bureau of Labor Statistics,
making now the best time to start a career in Data Science.
The massive growth of data provides a glimpse of the future scope of
Data Science in India. There is a huge requirement of data scientists in
the healthcare sector because they create a lot of data on a daily basis.
Tackling a massive amount of data is not possible by any
unprofessional candidate
Is data science a good career?
So is data science still a rising career in 2022?
The answer is a resounding YES! Demand across the world for Data
Scientists are in no way of slowing down, and the lack of competition for
these jobs makes data science a very lucrative option for a career path.
Data science expertise is highly sought-after because it leads to tangible and
measurable business outcomes. As stated in Harvard Business Review, “Companies
in the top third of their industry in the use of data-driven decision making were, on
average, 5% more productive and 6% more profitable than their competitors.”
