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Data Science for All : A Foundation Course
Rating: 4.3 out of 5(255 ratings)
5,975 students

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
Created byAnmol Tomar
Last updated 11/2023
English

What you'll learn

  • 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

Explore related topics

Course content

4 sections • 25 lectures • 1h 58m total length

  • What is Data Science ?6:01
  • Data Science Workflow6:01

    Discover the data science workflow: collect and store data, clean and prepare it, explore and visualize, then experiment and predict to segment customers and inform strategies.

  • Applications of Data Science Part 14:36
  • Applications of Data Science Part 26:00
  • Practice : Examples of Machine, Deep Learning and Internet Of Things2:25
  • Data Science roles and tools7:09
  • Quiz

Requirements

  • No prior knowledge required

Description

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.


Preview image by freepik

Who this course is for:

  • The course is for anyone who wants to get an understanding of Data Science domain.

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