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Intro to Data Science: QuickStart Guide + AI & ChatGPT Prize (Udemy.com)

Learn the critical elements of Data Science, from visualization to databases to Python and more, in just 6 weeks!

Created by: Kirill Eremenko

Last updated February 2025

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What you will learn

  • The entire Data Science process
  • Cloud concepts & application in Data Science
  • Database concepts
  • Statistics fundamentals as needed in Data Science
  • Visualizations for data mining and presentation
  • An overview on Statistical Learning
  • The essentials of Machine Learning
  • More advanced Python to apply to Data Science

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews9,683#22 of 462 by number of reviews
  • Length5.2 hoursshorter than 66% of them
  • Last updatedFebruary 2025earlier than 61% of them

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Course Description

The demand for Data Scientists is immense. In this course, you'll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself.

The #1 goal of this course is clear: give you all the skills you need to be a Data Scientist who could start the job tomorrow... within 6 weeks.

With so much ground to cover, we've stripped out the fluff and geared the lessons to focus 100% on preparing you as a Data Scientist. You’ll discover:

  • The structured path for rapidly acquiring Data Science expertise

  • How to build your ability in statistics to help interpret and analyse data more effectively

  • How to perform visualizations using one of the industry's most popular tools

  • How to apply machine learning algorithms with Python to solve real world problems

  • Why the cloud is important for Data Scientists and how to use it

Along with much more. You'll pick up all the core concepts that veteran Data Scientists understand intimately. Use common industry-wide tools like SQL, Tableau and Python to tackle problems. And get guidance on how to launch your own Data Science projects.

In fact, it might seem like too much at first. And there is a lot of content, exercises, study and challenges to get through. But with the right attitude, becoming a Data Scientist this quickly IS possible!

Once you've finished Introduction to Data Science, you’ll be ready for an incredible career in a field that's expanding faster than almost anything else in the world.

Complete this course, master the principles, and join the ranks of Data Scientists all around the world.

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Instructor Details

Kirill Eremenko

My name is Kirill Eremenko and I am super-psyched that you are reading this!

Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

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Reviews

4.5

9,683 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Riccardo Ceci on 7/15/2026

un insieme esagerato di nozioni, tutte presentate in modo estremamente rapido e superficiale. Più che un corso è una semplice overview! Interessante la parte sul Tableau

By George Baugh on 2/7/2026

Great course! Easy breakdown of what subjects to study and how long to study subjects. This course gives a really good introduction to data science without overstaying its welcome and easy-to-follow practical exercises. Well done!

By Rosedell Villocido on 1/4/2026

The initial discussions talked about Data Science overview and its roadmap to becoming data scientist which provided insights and knowledge on the expectations from both the learner and instructor. Above all, it made audiences excited about the training course and how can it create an impact to their professional career as a whole.

By Anonymized User on 11/19/2023

clear and precise, very easy to learn - i have zero knowledge on DS and i m currently a management personnel in my company - i guess i can do DS now! with the team :)

By Anonymized User on 9/15/2022

Very Good for someone wanting to know about the basics and process of data science journey. Especially liked the Tableau and Python part of the course. Small yet explanatory insights like how and where to get other required materials was quite a treat. Thanks for the start.

By Venkatesh on 6/18/2020

It was a nice course , thanks so much , the clarity of subjects, the presentations were awesome , may be we could have more sessions on python & tableau , but its our work to practice . Thanks for this wonderful sessions :)

By Mahnaz Saebi on 5/17/2020

This course was very informative and helpful for me. It gave good ideas about Data Science which is a vast field of study. The course content is really rich. Some of the sections don't have an image to show the subjects in a organized and categorized way to give the whole idea. Example : Section 2 , Part 12 : Machine Learning. Thanks

By Richard Fuschillo on 8/6/2019

I really enjoyed the introduction. I have 25+ years of software experience and have always considered myself a quick learner. Your step by step guide is great and gives me a great roadmap to expand on the topics I need to.

By Jah-Jah Jackson on 8/23/2018

This course is a worth the time to complete, it will help save time composing a detailed objective towards developing skills as a Data Scientist.

By Ed Markowitz on 6/30/2018

Would have liked more statistics and db. Also would have appreciated the Python models explained a bit more (still unclear on the (: meaning for instance) and would dearly love to hear what you do next if your regression or other model produces garbage - how do you choose another model to try to see if something else gives a useful result

By George Wangolo

The instructor is very good at explaining the material and he is not boring.

By Pritha Sengupta

I was looking for how o start data science.

It helped me a lot as in what topics to starts what all topics are actually important and how many days should be given to what topic

Showing 12 of 59 reviews

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Overall Score : 90 / 100