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
Python 3: Deep Dive (Part 2 - Iteration, Generators)
Sources: udemy
I will show you exactly how iteration works in Python - from the sequence protocol, to the iterable and iterator protocols, and how we can write our own sequence and iterable da...
34 hours 42 minutes 47 seconds
Python for Business Data Analytics & Intelligence
Sources: zerotomastery.io
Become a top Business Data Analyst. We’ll teach you everything you need to go from a complete beginner to getting hired as an analytics professional. You’ll lea
15 hours 25 minutes 6 seconds
Create UberEats with Python/Django and Swift 3
Sources: Code4Startup (coderealprojects)
Learn Python & Swift 3 by creating Real-life startup platform with Web dashboard and iOS app like UberEats, Doordash, Postmates.
19 hours 13 minutes 29 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
Complete linear algebra: theory and implementation
Sources: udemy
You need to learn linear algebra! Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, st...
32 hours 53 minutes 26 seconds