4.55 out of 5
4.55
36 reviews on Udemy

Data Science for All : A foundation course

Learn everything you need to know about fast-growing field of Data Science without having to write a single line of code
Instructor:
Anmol Tomar
2,889 students enrolled
English [Auto]
What is Data Science
Applications of Data Science
Data Science Workflow
Jobs and skills in Data Science
Data Science case studies
Applications of Machine learning
Applications of Artificial intelligence
Applications of Internet of things (IOT)
Data Collection and Storage
Supervised Learning
Unsupervised Learning

What is data science, why is it so popular, and why did the Harvard Business Review hail it as the “sexiest job of the 21st century”?

Welcome to the Data Science for All course, where you will learn everything that you need to know about this rapidly growing exiting field of DS.

I am Anmol Tomar, a Data Scientist with over 6 years of experience in Data Science. I have worked with various fortune 500 clients in various domains such as retail, insurance, banking and helped them take data driven decisions.

In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code.

Through different exercises, you’ll learn about the different data scientist roles, foundational topics like hypothesis testing, deep learning, machine learning, and how data scientists extract knowledge and insights from real-world data. So don’t be put off by the buzzwords. Start learning, gain skills in this hugely in-demand field, and discover why data science is for all!

I have designed this course for anyone who wants to understand the holistic view of the field of Data Science. By the end of this course, you will be able to confidently apply DS to the real world business problems.

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Includes

2 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion

Archive

Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed