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!