Introduction to Python for Data Science
What you'll learn
- Create variables and apply basic arithmetic in Python
- Make multiple assignments
- Create comments
- Handle lists, dictionnaries, tuples
- Create conditions with If-else structure
- For Loops
- While Loops
- Try-Except
- List & Dictionnary comprehension
- Create & use functions
- Read & Write files with Pandas
- Manipulate datasets with Pandas
- Understand object oriented programming
- Create classes
- Use __init__ function in classes
- Use inheritance in classes
Course content
- Preview01:12
- Preview01:03
Requirements
- No requirements
Description
Stackoverflow publishes studies on the popularity of each programming language that is used among developers. Guess which one always comes up in the top 5 each year? Python!
In this introduction to python for Data Science, I've gathered all the key concepts you need to learn in Python programming. We'll learn each of them step-by-step from creating variables, conditions, building functions, all the way to make awesome data visualizations using Pandas library.
Throughout this whole course, we'll be working on two projects. The first one will be to re-create a Tricount-like application where we'll be able to track a group of friend trip expenses and tell a user who owes money to who. And for the second one, we'll be studying the spread of a virus and make awesome visualizations to check whether we are at the beginning of the pandemic or at the end.
So I hope to have you in my course and happy learning!
Who this course is for:
- Beginners in Python development who would like to get a kick-start in Data Science
Instructor
Jedha teaches Data Science & Data Engineering to all who aspire to get skilled and get their career started in these fields. We provide online and on-site training for those who would like to be certified Data Scientists. Throughout the years, we've certified 1000+ students in Europe and enable our alumni to work at great companies and startups such as L'Oréal, LVMH, Airbnb...