Enroll for the most demanding skill in the world now. In the first place, Data Science Training in Chennai from Softlogic will take your career to a new height. Secondly, we offer you an amazing platform to study and explore the subject from experts. Additionally, we offer Python, R, and machine learning data science courses.
Neuron is a server-less Deep Learning and AI experiment platform for analytics where you can build, deploy and visualise the data models.
Practical lab on cloud access from anywhere.
Data Science as a Service: Intersection of Cloud Computing and Data SciencePouria Amirian
Dr. Pouria Amirian explains data science, steps in a data science workflow and show some experiments in AzureML. He also mentions about big data issues in a data science project and solutions to them.
Guiding through a typical Machine Learning PipelineMichael Gerke
Many People are talking about AI and Machine Learning. Here's a quick guideline how to manage ML Projects and what to consider in order to implement machine learning use cases.
Helping data scientists escape the seduction of the sandbox - Krish Swamy, We...Sri Ambati
This talk was given at H2O World 2018 NYC and can be viewed here: https://youtu.be/xc3j20Om3UM
Description:
Data science is indeed one of the sexy jobs of the 21st century. But it is also a lot of hard work. And the hard work is seldom about the math or the algorithms. It is about building relevant machine learning products for the real world. We will go over some of the must-haves as you take your machine learning model out of the sandbox and make it work in the big, bad world outside.
Speaker's Bio:
Krish Swamy is an experienced professional with deep skills in applying analytics and BigData capabilities to challenging business problems and driving customer insights. Krish's analytic experience includes marketing and pricing, credit risk, digital analytics and most recently, big data analytics and data transformation. His key experiences lie in banking and financial services, the digital customer experience domain, with a background in management consulting. Other key skills include influencing organizational change towards a data and analytics driven culture, and building teams of analysts, statisticians and data scientists.
Neuron is a server-less Deep Learning and AI experiment platform for analytics where you can build, deploy and visualise the data models.
Practical lab on cloud access from anywhere.
Data Science as a Service: Intersection of Cloud Computing and Data SciencePouria Amirian
Dr. Pouria Amirian explains data science, steps in a data science workflow and show some experiments in AzureML. He also mentions about big data issues in a data science project and solutions to them.
Guiding through a typical Machine Learning PipelineMichael Gerke
Many People are talking about AI and Machine Learning. Here's a quick guideline how to manage ML Projects and what to consider in order to implement machine learning use cases.
Helping data scientists escape the seduction of the sandbox - Krish Swamy, We...Sri Ambati
This talk was given at H2O World 2018 NYC and can be viewed here: https://youtu.be/xc3j20Om3UM
Description:
Data science is indeed one of the sexy jobs of the 21st century. But it is also a lot of hard work. And the hard work is seldom about the math or the algorithms. It is about building relevant machine learning products for the real world. We will go over some of the must-haves as you take your machine learning model out of the sandbox and make it work in the big, bad world outside.
Speaker's Bio:
Krish Swamy is an experienced professional with deep skills in applying analytics and BigData capabilities to challenging business problems and driving customer insights. Krish's analytic experience includes marketing and pricing, credit risk, digital analytics and most recently, big data analytics and data transformation. His key experiences lie in banking and financial services, the digital customer experience domain, with a background in management consulting. Other key skills include influencing organizational change towards a data and analytics driven culture, and building teams of analysts, statisticians and data scientists.
For this talk, I will be discussing about various approaches to accelerate deep learning solutions from notebooks or research environment to production environment and how these solutions can be transformed as an enterprise level end to end Deep Learning Solution, which can be consumed as a service by any software application, with a practical use-case example.
I am looking for opportunities in Data and Business Analytics and have strong Quantitive and Analytical skills through my degree program of Business Analytics along with prior 2 years work experience in Project management.
I am passionate about learning and growing with the organization. I am driven by dedication and hard work and I believe an opportunity would bring me on the fast track of my career growth.I look forward to a new and challenging career with development in skills and deep knowledge towards particular technology I would be working with.
Accelerating Data Science and Machine Learning Workflow with Azure Machine Le...Aditya Bhattacharya
Accelerating Data Science and Machine Learning Workflow with Microsoft Azure Machine Learning
Microsoft User Group Hyderabad AIML Day 2020
https://aditya-bhattacharya.net/
https://www.eventbrite.com/e/microsoft-user-group-hyderabad-aiml-day-2020-tickets-123940376001
MUGH
Improving Search in Workday Products using Natural Language ProcessingDataWorks Summit
Workday is a leading provider of cloud-based enterprise software products such as Human Capital Management, Talent, Finance, Student, Planning etc. These products produce a wealth of natural language data. However, this data is unstructured and denormalized. Retrieving relevant information from such data is a challenging task. Using simple index-based search methods can only take us so far. The Data Science team at Workday is determined to apply Machine Learning and AI to make search better across Workday’s products.
In this session, we present to you, how we use word embeddings to normalize the data and add structure to it. We will also talk about using word representations to make search intelligent. The specific use cases we will discuss are adding synonyms detection and entity-recommendation.
In this talk, we will focus on the word-embeddings techniques explored, metrics used to evaluate Natural Language Processing Models, tools built, and future work as a part of improving search.
Speaker
Namrata Ghadi, Workday Inc, Software Development Engineer (Data Science)
Adam Baker, Workday Inc, Sr Software Engineer
A Beginner's Guide to Machine Learning with Scikit-LearnSarah Guido
Given at the PyData NYC 2013 conference (http://vimeo.com/79517341), and will be given at PyTennessee 2014.
Scikit-learn is one of the most well-known machine learning Python modules in existence. But how does it work, and what, for that matter, is machine learning? For those with programming experience but who are new to machine learning, this talk gives a beginner-level overview of how machine learning can be useful, important machine learning concepts, and how to implement them with scikit-learn. We’ll use real world data to look at supervised and unsupervised machine learning algorithms and why scikit-learn is useful for performing these tasks.
Data science plays a crucial role in a wide range of industries and applications. It is used in business to optimize operations, improve marketing strategies, and enhance customer experiences. In healthcare, data science helps with disease prediction, personalized medicine, and drug discovery. It also contributes to fields such as finance, transportation, social sciences, and many others.
For More Details: https://datamites.com/data-science-course-training-hyderabad/
Data Scientist Salary, Skills, Jobs And Resume | Data Scientist Career | Data...Simplilearn
This presentation about "Data Science Engineer Career, Salary, and Resume" will help you understand who is a Data Science Engineer, the salary of a Data Science Engineer, Data Science Engineer Skillset and Data Science Engineer Resume. Data science is a systematic way to analyze a massive amount of data and extract information from them. Data Science can answer a lot of questions, as well. Data Science is mainly required for
better decision making, predictive analysis, and pattern recognition.
Below are topics that we will be discussing in this presentation:
1. Introduction to Data Science
2. Who is a Data Science Engineer
3. Data Science Engineer Skillset
4. Data Science Engineer job roles
5. Data Science Engineer salary trends
6. Data Science Engineer Resume
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. The data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:
1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package
Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
Learn more at https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training
As part of this session, I will be giving an introduction to Data Engineering and Big Data. It covers up to date trends.
* Introduction to Data Engineering
* Role of Big Data in Data Engineering
* Key Skills related to Data Engineering
* Role of Big Data in Data Engineering
* Overview of Data Engineering Certifications
* Free Content and ITVersity Paid Resources
Don't worry if you miss the video - you can click on the below link to go through the video after the schedule.
https://youtu.be/dj565kgP1Ss
* Upcoming Live Session - Overview of Big Data Certifications (Spark Based) - https://www.meetup.com/itversityin/events/271739702/
Relevant Playlists:
* Apache Spark using Python for Certifications - https://www.youtube.com/playlist?list=PLf0swTFhTI8rMmW7GZv1-z4iu_-TAv3bi
* Free Data Engineering Bootcamp - https://www.youtube.com/playlist?list=PLf0swTFhTI8pBe2Vr2neQV7shh9Rus8rl
* Join our Meetup group - https://www.meetup.com/itversityin/
* Enroll for our labs - https://labs.itversity.com/plans
* Subscribe to our YouTube Channel for Videos - http://youtube.com/itversityin/?sub_confirmation=1
* Access Content via our GitHub - https://github.com/dgadiraju/itversity-books
* Lab and Content Support using Slack
Data Engineer Course In Bangalore-OctoberDataMites
Data engineers often work closely with data scientists, data analysts, and other data professionals to ensure that data is accessible, clean, and well-prepared for analysis and decision-making.
For more information: https://datamites.com/data-engineer-certification-course-training-bangalore/
For this talk, I will be discussing about various approaches to accelerate deep learning solutions from notebooks or research environment to production environment and how these solutions can be transformed as an enterprise level end to end Deep Learning Solution, which can be consumed as a service by any software application, with a practical use-case example.
I am looking for opportunities in Data and Business Analytics and have strong Quantitive and Analytical skills through my degree program of Business Analytics along with prior 2 years work experience in Project management.
I am passionate about learning and growing with the organization. I am driven by dedication and hard work and I believe an opportunity would bring me on the fast track of my career growth.I look forward to a new and challenging career with development in skills and deep knowledge towards particular technology I would be working with.
Accelerating Data Science and Machine Learning Workflow with Azure Machine Le...Aditya Bhattacharya
Accelerating Data Science and Machine Learning Workflow with Microsoft Azure Machine Learning
Microsoft User Group Hyderabad AIML Day 2020
https://aditya-bhattacharya.net/
https://www.eventbrite.com/e/microsoft-user-group-hyderabad-aiml-day-2020-tickets-123940376001
MUGH
Improving Search in Workday Products using Natural Language ProcessingDataWorks Summit
Workday is a leading provider of cloud-based enterprise software products such as Human Capital Management, Talent, Finance, Student, Planning etc. These products produce a wealth of natural language data. However, this data is unstructured and denormalized. Retrieving relevant information from such data is a challenging task. Using simple index-based search methods can only take us so far. The Data Science team at Workday is determined to apply Machine Learning and AI to make search better across Workday’s products.
In this session, we present to you, how we use word embeddings to normalize the data and add structure to it. We will also talk about using word representations to make search intelligent. The specific use cases we will discuss are adding synonyms detection and entity-recommendation.
In this talk, we will focus on the word-embeddings techniques explored, metrics used to evaluate Natural Language Processing Models, tools built, and future work as a part of improving search.
Speaker
Namrata Ghadi, Workday Inc, Software Development Engineer (Data Science)
Adam Baker, Workday Inc, Sr Software Engineer
A Beginner's Guide to Machine Learning with Scikit-LearnSarah Guido
Given at the PyData NYC 2013 conference (http://vimeo.com/79517341), and will be given at PyTennessee 2014.
Scikit-learn is one of the most well-known machine learning Python modules in existence. But how does it work, and what, for that matter, is machine learning? For those with programming experience but who are new to machine learning, this talk gives a beginner-level overview of how machine learning can be useful, important machine learning concepts, and how to implement them with scikit-learn. We’ll use real world data to look at supervised and unsupervised machine learning algorithms and why scikit-learn is useful for performing these tasks.
Data science plays a crucial role in a wide range of industries and applications. It is used in business to optimize operations, improve marketing strategies, and enhance customer experiences. In healthcare, data science helps with disease prediction, personalized medicine, and drug discovery. It also contributes to fields such as finance, transportation, social sciences, and many others.
For More Details: https://datamites.com/data-science-course-training-hyderabad/
Data Scientist Salary, Skills, Jobs And Resume | Data Scientist Career | Data...Simplilearn
This presentation about "Data Science Engineer Career, Salary, and Resume" will help you understand who is a Data Science Engineer, the salary of a Data Science Engineer, Data Science Engineer Skillset and Data Science Engineer Resume. Data science is a systematic way to analyze a massive amount of data and extract information from them. Data Science can answer a lot of questions, as well. Data Science is mainly required for
better decision making, predictive analysis, and pattern recognition.
Below are topics that we will be discussing in this presentation:
1. Introduction to Data Science
2. Who is a Data Science Engineer
3. Data Science Engineer Skillset
4. Data Science Engineer job roles
5. Data Science Engineer salary trends
6. Data Science Engineer Resume
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. The data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:
1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package
Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
Learn more at https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training
As part of this session, I will be giving an introduction to Data Engineering and Big Data. It covers up to date trends.
* Introduction to Data Engineering
* Role of Big Data in Data Engineering
* Key Skills related to Data Engineering
* Role of Big Data in Data Engineering
* Overview of Data Engineering Certifications
* Free Content and ITVersity Paid Resources
Don't worry if you miss the video - you can click on the below link to go through the video after the schedule.
https://youtu.be/dj565kgP1Ss
* Upcoming Live Session - Overview of Big Data Certifications (Spark Based) - https://www.meetup.com/itversityin/events/271739702/
Relevant Playlists:
* Apache Spark using Python for Certifications - https://www.youtube.com/playlist?list=PLf0swTFhTI8rMmW7GZv1-z4iu_-TAv3bi
* Free Data Engineering Bootcamp - https://www.youtube.com/playlist?list=PLf0swTFhTI8pBe2Vr2neQV7shh9Rus8rl
* Join our Meetup group - https://www.meetup.com/itversityin/
* Enroll for our labs - https://labs.itversity.com/plans
* Subscribe to our YouTube Channel for Videos - http://youtube.com/itversityin/?sub_confirmation=1
* Access Content via our GitHub - https://github.com/dgadiraju/itversity-books
* Lab and Content Support using Slack
Data Engineer Course In Bangalore-OctoberDataMites
Data engineers often work closely with data scientists, data analysts, and other data professionals to ensure that data is accessible, clean, and well-prepared for analysis and decision-making.
For more information: https://datamites.com/data-engineer-certification-course-training-bangalore/
Big Data for Data Scientists - Info SessionWeCloudData
In this talk, WeCloudData introduces the Hadoop/Spark ecosystem and how businesses use big data tools and platforms. For more detail about WeCloudData's big data for data scientist course please visit: https://weclouddata.com/data-science/
DataMass Summit - Machine Learning for Big Data in SQL ServerŁukasz Grala
Sesja pokazująca zarówno Machine Learning Server (czyli algorytmy uczenia maszynowego w językach R i Python), ale także możliwość korzystania z danych JSON w SQL Server, czy też łączenia się do danych znajdujących się na HDFS, HADOOP, czy Spark poprzez Polybase w SQL Server, by te dane wykorzystywać do analizy, predykcji poprzez modele w językach R lub Python.
These are the slides for my talk "Sql Server Machine Learning Services" which was presented at Sql Saturday Prague 2018 (#SqlSatPrague). I describe what is Machine Learning, then proceed to explain the importance of it in our SQL Server storage. Then of course I explain the main topic and how Python and R can be integrated in our SQL Scripts (while it is also possible to connect our Python/R scripts to an SQL Server instance).
The presentation ends with a demo. Scripts are available on my GitHub repository: https://github.com/icebeam7/SQLSaturdayPrague2018
[DSC Europe 22] Overview of the Databricks Platform - Petar ZecevicDataScienceConferenc1
Databricks' founders caused a seismic shift in data analysis community when they created Apache Spark which has become a cornerstone of Big Data processing pipelines and tools in large and small companies all around the world. Now they've built a revolutionary, comprehensive and easy-to-use platform around Apache Spark and their other inventions, such as MLFlow and Koalas frameworks and most importantly the Data Lakehouse: a concept of fusing data warehouse and data lake architectures into a single versatile and fast platform. Technical foundation for Databricks Data Lakehouse is Delta Lake. More than 7000 organizations today rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Come to the talk and see the demo to find out why.
NDC Oslo : A Practical Introduction to Data ScienceMark West
Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this?
In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections:
(1) I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation.
(2) Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied.
(3) The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.
Sample Codes: https://github.com/davegautam/dotnetconfsamplecodes
Presentation on How you can get started with ML.NET. If you are existing .NET Stack Developer and Wanna use the same technology into Machine Learning, this slide focuses on how you can use ML.NET for Machine Learning.
A data science course is an educational program or series of classes that teaches individuals the skills, techniques, and tools needed to work with data effectively.
For More Details: https://datamites.com/data-science-course-training-hyderabad/
A data science course is an educational program or series of classes that teaches individuals the skills, techniques, and tools needed to work with data effectively.
For More Details: https://datamites.com/data-science-course-training-chennai/
Board Infinity Data Science Brochure - data science learning pathBoard Infinity
Join our Data Science Course to become a Certified Data Scientist! Master in the highly demanded technologies like SQL, Python alongside the concepts of Data Exploration, Regression Models, Hypothesis Testing. Get 1:1 personal coaching and mentoring straight from Top Data Science Coaches to be job-ready. This includes the complete data science syllabus, project, hackathons, and Data Science Certification.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
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.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Sectors of the Indian Economy - Class 10 Study Notes pdf
DATA SCIENCE TRAINING IN CHENNAI
1. Data Science Training in Chennai
Convert data into product thorugh our exhaustive training
2. Overview
• Data Science is the study of processing the raw data to store, analyze
for getting the meaningful insights. These insights are used for an
organization to make decisions and predictions.
• Many tools and techniques are used to accomplish the tasks of
converting the unstrcutured raw data into useful information.
• Data Science has the promising career for the skilled and certified
professional.
3. Job Roles and Required Skills for Data Science Field
Job Roles Major Task Required Tech Skills Additional Skills
Data Analysts Optimization of Data SQL, R, SAS, Python Problem-Solving Skills
Data Engineers Working on Algorithms Matlab, NoSQL, R, Ruby, Java Data APIs & ETL Tools
Database Administrator Database Backup and Recovery Data Security, Data Modelling
and Design, DB Recovery
Disaster Management
Machine Learning
Engineer
A/B Testing, Build Data Pipelines,
Classification and Clustering of
Data
SQl, REST API, Java, Python,
JavaScript, R, and so on.
Statistics and Mathematics
Data Scientist Predictive Analysis for actionable
insights
R, Matlab, SQL, Python Higher Degree in Mathametics
or Computer Engineering
Data Architect Creating Blueprints of data Data Warehousing, Data
Modelling, Extraction
Transfermation and Load(ETL)
Hive, Pig, Spark, etc.
Statistician Statistical Theories and Data
Organization
SQL, Data Mining, Machine
Learning Methods
Logical Thinking
Business Analyst Handle Big Data using data-
oriented technologies
Business Finances, Business
Intelligence
Data Modelling, Data
Visualization Tools
Data and Analytics
Manager
Oversees the entire Data Science
Operation
Leadership Quality, Social Skills,
Out-of-box thinking attitude
SAS, R, SQL, Python, Java etc
4. Obtaining Skills through our Data Science Training
In Common, Data Scientist must have the following skills to be hired easily:
Programming Skills: Python, R, SQL, or any.
Statistics: Tests, Distributions, etc.
Machine Learning: Algorithms such as K-Nearest Neighbours, and so on
Linear Algebra: Multivariable Calculus and its implementation
Data Wrangling Methods: String and Data Formatting
Data Visualization and Communication: Tableau, matplotlib, d3.js, etc
Software Engineering Concepts: Data Logging methods, data driven products
Data Intuition: Data Driven Problem Solving Skills
5. Who this Data Science Course is for?
• Any Aspiring Candidate who is ready to solve problems using Data
• Any Aspiring Candidate who is interested in coding for large projects
• Any Aspiring Candidate who wish to build Machine Learning Algorithms
Prerequisites for Learning Data Science Course
• Basic Programming Knowledge
• Fundamental knowledge in Statistics
• Understanding of Calculus in School Level Mathematics
6. Data Science Related Courses Available in our Institute
• Python
• R Programming
• Java
• ETL, API
• Machine Learning
• Deep Learning
• Data Warehousing
• AWS
• Azure
• AI
• SAS
• Hadoop/ Big Data
• Salesforce
• Power BI
• Tableau
• QlikView
• MSBI
• Informatica
• SQL
• Matlab, and so on..
7. Duration for Data Science Course
Duration Hours Training Mode
Weekday or Regular
Track
45 - 60 Days 2 hours a day Interactive live
classroom
Weekend Track 8 Weekends 3 to 4 hours a day Interactive live
classroom
Fast Track 5 Days 6+ hours a day Interactive live
classroom
Online Track 45+ Hours Convenient Timing Instructor led live
online mode
8. Salient features of Softlogic Systems
Free demo session
High-Quality interactive classroom
Industry-Endorsed curriculum
Hands-On exposure on live projects
Expert and Experienced trainers
Unlimited lab access hours
Course completion certificate
Affordable fee structure
Mock interviews for job-ready skills
Assured placement assistance
9. Join us for the best Data Science Training in Chennai.
Contact us
Softlogic Systems
No.10, PT Rajan Salai, K.K.Nagar, Chennai - 78
Landmark: Shivan Park Stop, Karnataka Bank
Contact No: 86818 84318
Email: enquiry@softlogicsys.in
Website: www.softlogicsys.in
