Python for Data Science
6h 21m 57s
English
Paid
Course description
Master the key Python skills for data analysis, visualization, statistical analysis, and machine learning. Build a solid foundation for a successful start to your journey in data science.
Watch Online
0:00
/ #1: Introduction
All Course Lessons (21)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 15:09 | |
| 2 | Best Coding Practices | 05:32 | |
| 3 | Python & PyCharm (IDE) Configuration | 16:09 | |
| 4 | Demo 1: Data Types & Creating Variables | 18:39 | |
| 5 | Demo 2: Lists/Matrices/Dictionaries | 17:30 | |
| 6 | Demo 3: For-Loops in Python | 16:54 | |
| 7 | Demo 4: If-Else Statements | 20:00 | |
| 8 | Demo 5: Python Libraries for Data Science | 18:04 | |
| 9 | Demo 6: Loading Data in Python | 16:06 | |
| 10 | Demo 7: Data Exploration & Preprocessing | 14:33 | |
| 11 | Demo 8: Random Data Generation (Data Simulation) | 19:53 | |
| 12 | Demo 9: Filtering, Sorting, Grouping | 21:08 | |
| 13 | Demo 10: Descriptive Statistics | 15:50 | |
| 14 | Demo 11: Merging & Joining Datasets | 21:27 | |
| 15 | Demo 12: User Defined Functions (UDF) | 13:50 | |
| 16 | Demo 13: Text Cleaning and Preparation in NLP | 21:11 | |
| 17 | Demo 14: Data Visualization in Python | 20:57 | |
| 18 | Demo 15: Data Sampling (Part 1) - Theory | 28:16 | |
| 19 | Demo 16: Data Sampling (Part 2) - Coding | 20:34 | |
| 20 | Demo 17: A/B Test Results Analysis (Part 1) - Theory | 22:49 | |
| 21 | Demo 18 - A/B Test Results Analysis (Part 2) - Coding | 17:26 |
Unlock unlimited learning
Get instant access to all 20 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionBooks
Read Book Python for Data Science
| # | Title |
|---|---|
| 1 | Python_Cheat_Sheet |
Comments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
AI Coding with Jupyter AI
Sources: zerotomastery.io
Master Jupyter AI to enhance Python skills with generative AI in Jupyter Lab and Notebook. Ideal for future-ready data scientists and AI engineers.
46 minutes 33 seconds
The Hidden Foundation of GenAI
Sources: Andreas Kretz
Generative AI is everywhere today, but few understand the fundamental concepts it is based on. "The Hidden Foundation of GenAI" is a starting point...
20 minutes 42 seconds
Coding with AI
Sources: Jeremy Morgan
Let's be realistic. You would like to delegate many tedious software development tasks to an assistant - and now it's possible! Tools for...
The Ultimate Django Series: Part 2
Sources: codewithmosh (Mosh Hamedani)
Do you want to take your Django skills to the next level and become that professional back-end developer that companies love to hire? This is exactly the course you need.
5 hours 41 minutes 6 seconds
The Complete Python Course | Learn Python by Doing
Sources: udemy
This course will take you from beginner to expert in Python, easily and smartly. We've crafted every piece of content to be concise and straightforward, while never leaving you ...
35 hours 20 seconds