[eBook] Data Scientist with Python Study Plan


A detailed study plan to make you sail through DataCamp’s Data Scientist with Python Career Track. Learn through additional study material, video & reference links. Finally, you have a guide that walks you through the topics and the concepts of your favourite course.

Please note: This will be delivered to you as an eBook.



Data Science is now a requisite skill for a variety of job roles in the world of business. Be it Marketing, Sales, Finance, HR – Data Science has permeated every business domain. Not just the fresh breed of graduates but top level CxOs are undergoing training to acquire this skill. DataCamp, one of the leaders in Data Science online courses, has an extremely well laid-out career track which takes you from the basics to the expert level concepts in Data Science in a structured manner.

This ‘Data Scientist with Python’ career track by Python has become the first choice for many new learners for learning Python for Data Science. In this Study Plan for DataCamp’s Data Scientist with Python Career Track, learn the skills to become an expert data scientist through guided learning material. The book will take you through all the modules of DataCamp’s ‘Data Scientist with Python’ career track with the help of additional video and reference links.


Breakaway from the monotony of learning as per the laid out curriculum from  the videos provided within the course. For each course and topic inside the Data Scientist with Python Career Track, get links to the best free resources on the internet from where you can learn from. Therefore, get to learn each concept from the best handpicked sources from all over the internet – all of them laid out as additional bonuses within the study plan.

About the Author

Darpan Saxena
Founder, Super Heuristics

B.Tech, ECE | MBA, IIM Udaipur

Darpan Saxena, the founder of Super Heuristics, is a Marketing Strategist and a practitioner of Analytics in the field of Marketing. He is an Electronics & Communication engineer by qualification, with specialization in Artificial Intelligence (AI) focusing on Machine Learning, and also an MBA from Indian Institute of Management (IIM), Udaipur. 

Super Heuristics is the best place for students and young professionals to learn Marketing & Analytics. Super Heuristics was founded in February 2018 by Darpan Saxena.

In his 6+ years of professional experience, he has crafted go-to-market strategies for brands like Abbott (in Singapore), Genpact and CL Educate apart from the other small and medium businesses which have witnessed growth through his marketing and strategy consultation. Darpan has worked as a Product Head of the biggest vertical of an education technology company in New Delhi. 

Who is it for?

While Data Science is for everyone, literally everyone, Data Science is definitely a must for the following types of learners.

Entry-level executives in any domain such as Marketing, Sales, Finance, Operations, HR in any industry

Undergraduate students looking to break away from the competition to bag jobs of the future in the field of Data Science & Machine Learning

Postgraduate and MBA students willing to deep-dive into Data Science and acquire this skill to take a big career leap

Mid- and Senior-level management with the responsibility of bringing in new thought-leadership for a progressive best practices

5 Reasons to get started with this study plan

  1. Easiest way to get started with the seemingly overwhelming Data Scientist with Python Career Track of DataCamp
  2. Lucid explanation of basic and advanced concepts discussed in DataCamp’s Data Scientist with Python Career Track
  3. Not feeling like going through the course? Read this book and browse through additional study material linked in the book
  4. Serves as an extremely helpful revision tool. Watch a DataCamp video and get back to the book to solidify your learning
  5. No need to have an internet connection all the time to learn Data Science as the book explains the concepts in a self-explanatory manner

Table of Contents​

This study plan aims at making you learn Python through DataCamp without having you feel overwhelmed with the volume that is to be covered. The study plan is in-sync with the Data Science with Python Career track of DataCamp and covers material on all of the topics mentioned there.

  1. Lesson 1: Introduction to Python 
  2. Lesson 2: Intermediate Python 
  3. Project: TV, Halftime Shows and the Big Game 
  4. Lesson 4: Data Manipulation with pandas 
  5. Project: The Android App Market on Google Play 
  6. Lesson 6: Merging DataFrames with pandas 
  7. Project: The GitHub History of the Scala Language 
  8. Lesson 8: Introduction to Data Visualization with Matplotlib 
  9. Lesson 9: Introduction to Data Visualization with Seaborn 
  10. Lesson 10: Python Data Science Toolbox (Part 1) 
  11. Lesson 11: Python Data Science Toolbox (Part 2) 
  12. Lesson 12: Intermediate Data Visualization with Seaborn 
  13. Project: AVisual History of Nobel Prize Winners 
  14. Lesson 14: Introduction to Importing Data in Python 
  15. Lesson 15: Intermediate Importing Data in Python 
  16. Lesson 16: Cleaning Data in Python 
  17. Lesson 17: Working with Dates and Times in Python 
  18. Lesson 18: Exploratory Data Analysis in Python 
  19. Lesson 19: Analyzing Police Activity with pandas 
  20. Lesson 20: Statistical Thinking in Python (Part 1) 
  21. Lesson 21: Statistical Thinking in Python (Part 2) 
  22. Project: Dr. Semmelweis and the Discovery of Handwashing 
  23. Lesson 23: Supervised Learning with scikit-learn 
  24. Project: Predicting Credit Card Approvals 
  25. Lesson 25: Unsupervised Learning 
  26. Lesson 26: MLwith Tree Based Models 
  27. Case Study: School Budgeting with Machine Learning in Python 
  28. Lesson 28: Cluster Analysis with Python

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