Course Description
Program Overview Key Highlights Complimentary Python Programming Bootcamp Career Essential Soft Skills Program Only online M.Sc in DS for working professionals 500+ Hours of Learning 60+ Case Studies and Projects Fortnightly Group Mentorship with Industry Mentors One-on-One with Industry Mentors Timely Doubt Resolution IIIT Bangalore & LJMU Alumni Status Global access to job opportunities WES Recognised Support available all days 9 AM - 9 PM IST for queries No Cost EMI Option NASSCOM certificate
Basic Language
English
Course Level
Beginner
Who is this course for?
Any specialization can be chosen regardless of background. The program caters to: Engineers, Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals
What are the requirements or prerequisites for taking your course?
Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
Primary Topic
Top Skills You Will Learn Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc.
4 learning objectives or outcomes that learners can expect to achieve after completing your course.
Top Skills You Will Learn Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc.
Job Opportunities Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst
Course Syllabus
What is data science
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
Data Science Engineering
Data engineering involves data collection methods, designing enterprise data storage and retrieval. The core data science subjects focus on data analytics, visualization, predictive modeling and analytics for data-driven decision making.
Advanced Machine Learning
What is advanced machine learning? Image result for Advanced Machine Learning An advanced course on machine learning. You will learn specific techniques and methods to analyze big amounts of data.
Data Migration
Data migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another.
Data analytics
Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns towards effective decision-making.
Data analytics tools
Data analytics software tools enable businesses to analyze vast stores of data for great competitive advantage. ... These tools allow data insights ranging from predictive analytics, business intelligence (a term often used interchangeably with data analytics), and structured and unstructured data.
data analysis tools and techniques
Make Faster, More Confident Decisions W/ SAP® Analytics Cloud Software. Try For Free Today. Find Out How Our Cloud-Based BI And Analytics Software Can Enhance Your Business's Growth. 18300+ Partners Worldwide. Redefining Cloud Systems.
data science engineering
Understand and solve complex machine learning problems with programming language skills. Specialise in Advanced Machine Learning areas like Big Data, Robotics & much more! View Benefits. Explore Faculty. Highlights: Free Brochure Available, Career Assistance Available.
what is data science
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
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Neeraj Chopra
Best course on know4tech website. -
Saurabh Dumbre
Very Important Topics And Lectures. All sessions were good.
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