Python for Data Science | Beginner Friendly Full Course in 5 Hours

Starting your data science journey?

Just dipping your toe into Machine Learning?

Not too sure how to get started with the wild world of Python?

I got you.

There’s a ton of stuff to learn when you’re just getting started with data science, but having a good foundation in Python will set you up for success. That being said there’s a lot of fluff that can derail you when you’re learning.

So I put this together.

This is everything I wish I would have learned when starting off my journey in Data Science. It’s all of the Python that I use in my day to day job and it’s more than enough to get you started!

In this video, you’ll learn:
1. How to setup your environment for Python
2. Fundamentals of coding with Python with a focus on Data Science Applications
3. Applications of Python for Data Science along with some practical Python projects

Link to Code: https://github.com/nicknochnack/PythonForDataScience

Link to Projects:
Project 1 - End to End Machine Learning: https://www.youtube.com/playlist?list=PLgNJO2hghbmjNrHZqplNMEpsW-QLFdvJV
Project 2 - Data Science Basics: https://www.youtube.com/playlist?list=PLgNJO2hghbmjpjt9sa2POi4U0a1-GGTlj
Project 3 - Deep Learning Summarization: https://youtu.be/TsfLm5iiYb4
Project 4 - Sentiment Analysis: https://youtu.be/szczpgOEdXs

Other projects
AI for Gaming: https://youtu.be/hCeJeq8U0lo
Object Detection: https://youtu.be/yqkISICHH-U

Chapters
0:00 - Start
1:16 - Why you should learn Python
6:08 - How to get started
6:59 - Installing Anaconda
11:42 - Starting Jupyter Notebooks
13:42 - Creating a Jupyter Notebook
16:10 - Jupyter Shortcuts
17:54 - Exporting Jupyter to .py
21:04 - Cell Types
23:16 - Working with Markdown
25:23 - Accessing Documentation
26:42 - Google Colab
28:40 - Watson Studio
33:23 - SECTION 2 Variables & Data Types
34:38 - CRUD
41:13 - Variables
47:18 - Data Types
49:09 - Strings
52:52 - Integers
54:55 - Floats
56:27 - Booleans
1:00:44 - Lists
1:05:28 - Tuples
1:12:43 - Sets
1:21:05 - Dictionaries
1:28:17 - CRUD for Lists
1:30:14 - Creating a List
1:31:33 - Reading a List Using Indexing
1:32:55 - Updating List Values
1:33:58 - Using .append()
1:34:57 - Using .insert()
1:39:21 - CRUD for Dictionaries
1:39:58 - Create a Dictionary
1:41:41 - Read from a Dictionary
1:42:46 - Accessing Dictionary .keys()
1:43:27 - Accessing Dictionary .values()
1:43:57 - Updating Dictionaries
1:46:50 - Deleting from a Dictionary
1:48:54 - SECTION 3 Conditions & Loops
1:52:23 - Conditions and Logic
1:54:47 - if Statement
2:02:54 - else Statement
2:05:28 - elif Statement
2:09:46 - in Statement
2:17:29 - for Loop
2:25:27 - continue, break, pass
2:32:32 - while Loop
2:39:59 - Looping through Dictionaries
2:48:28 - List comprehensions
2:52:00 - SECTION 4 Functions
2:55:59 - Defining Functions
3:02:36 - Positional Arguments
3:10:47 - Multiple Positional Arguments
3:15:34 - Looping with an Index
3:21:35 - Keyword Arguments
3:25:35 - Combining Positional and Keyword Args
3:32:11 - return Keyword
3:34:52 - lambda Functions
3:39:00 - SECTION 5 Classes
3:42:41 - Classes
3:44:52 - class Statement
3:45:45 - __init__ Method
3:47:01 - self keyword
3:49:02 - Assigning properties
3:49:34 - Creating an object
3:51:36 - Methods
4:03:03 - Class Inheritance
4:06:36 - Defining a Child Class
4:08:10 - Inheriting using the super() function
4:18:25 - SECTION 6 - Modules and Packages
4:21:45 - Modules
4:23:05 - Creating a helper module
4:25:42 - Importing modules
4:27:25 - Accessing Python Packages
4:29:00 - Working with APIs
4:32:02 - Installing packages with pip install
4:33:42 - Viewing installed packages with pip list
4:34:36 - Importing Packages
4:35:41 - Making API calls with requests.get()
4:45:46 - Parsing JSON
4:57:24 - SECTION 7 Files & Error handling
5:01:26 - Working with Files
5:02:32 - Writing Files using the with statement
5:07:04 - Reading from files
5:11:01 - Error Handling
5:14:26 - Using try except statements
5:19:37 - SECTION 8 Math and Projects
5:22:48 - Math in Python
5:24:54 - Math Operators
5:25:20 - Addition
5:26:01 - Subtraction
5:26:42 - Division
5:27:37 - Floor Division
5:29:06 - Modulus
5:31:28 - Multiplication
5:31:59 - Power
5:32:52 - Rounding with round()
5:34:15 - Absolute Values abs()
5:38:29 - Math Package
5:40:45 - Python Projects




Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!