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Data Science Primer for Beginners
Rating: 4.5 out of 5(2 ratings)
8 students

Data Science Primer for Beginners

Master these concepts before learning Data Science
Created byAnup Shukla
Last updated 9/2023
English

What you'll learn

  • Master the fundamentals of statistics required for data science
  • Understand the essence of data science terminology
  • Get an insight into machine learning
  • Learn to analyse the data

Course content

3 sections15 lectures49m total length
  • Introduction6:23
  • Choose the correct answer

Requirements

  • Your love to read the data. No prior experience is needed!

Description

Welcome to this short, primary course for data science enthusiasts - for the people who want to start with data science, but lack the necessary orientation in statistics and data . This course teaches you all the fundamental concepts you need to master even before you start your journey towards the data science field. Enroll in the course only if you're really serious about building a solid foundation. If all you want is a quick guide so you can land a job quickly in the field of data science then, I am afraid, this is not the course for you!


The course starts from pretty basic assuming you don't know anything about the concepts of Python, concept of data, concepts of statistics and probability.  We also cover all the tools you need in your career as a data scientist - tools such as Python, Jupyter Notebook, Pandas, NumPy, MatPlotlib, and Seaborn.  In short, this course helps you gain a complete mastery over the basic prerequisite you need in your journey ahead, in the path of data science.


We are updating the course continuously, based on the feedback received,and we'll keep it updated always. So stay tuned! Enroll in the course for a life time access to it.  Consider it as your hand book on data science fundamentals!

Who this course is for:

  • Beginners who want to learn data science