Python Data Manipulation for Data Scientists

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Industry skills you will learn and practice

  • Preparing data for quicker completion of data manipulation tasks
  • Selecting portions of data based on complex criteria
  • Encoding rules and conditions as logical statements
  • Direct implementation of complex formulas in Python
  • Detecting and exploiting hidden patterns in data
  • Choosing the appropriate approach to calculating business metrics

What will you find in each module?

  1. Theoretical introduction to the topic
  2. Applications in industry
  3. Ready-to-reuse code examples using Pandas but also NumPy or SciPy
  4. Multiple explained coding exercises and interview questions based on real-life problems for you to practice

Who is this guide for?

  • Are you passionate about data and want it to be the core of your career?
  • Do you know the basics of Python or want to switch from SQL to Python?
  • Want to excel in solving real-life data science problems?
  • Are you a fresh data scientist who wants to make your life easier?
  • Want to access a repository of methods and solutions to data manipulation?

Then this guide is for you! Start learning here!

Back to guides

Modules

  1. How to Calculate Total Revenue?
  2. How to Compare Two Rankings?
  3. How to Calculate Market Share?
  4. How to Assign Labels to Rows?
  5. How to Calculate the Growth Rate?
  6. How to Calculate a Correlation Between Two Sets of Values?
  7. How to Find Top X% or Bottom X%?
  8. How to Calculate the Retention or Churn Rate?
  9. How to Detect Streaks in Data?

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