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Python for Data Science, AI/ML Advance Certificate Course
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Python for Data Science, AI/ML Advance Certificate Course
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1. Introduction to Data Science
1.1 Intro What is Data Science?
1.2 Real Life Examples with Applications
1.3 Data Scientist Job roles and responsibilities
1.4 The Most Promising Job of the 21st Century
1.5 Machine Learning vs. Data Science vs. AI
Quiz M1 - Introduction to Data Science
2. Python Essentials Introduction
2.1 Python Introduction
2.2 Follow this Installation Guide of Anaconda Navigator
2.3 Jupyter Notebook Interface
2.4 How to Open, Save and Rename a file
2.5 Variables and Data Types
2.6 Python Strings
2.7 Loops (Conditional)
2.8 Loops (Iterative while)
2.9 Loops (Iterative For)
2.10 Python Functions (Built in, Lambda, User defined functions)
2.11 Lists
2.12 Tuples
2.13 Sets
3. Data Manipulation and Data Analysis Tools
3.1 Numpy Arrays in Python
3.2 Three Dimensional Arrays Indexing and slicing
3.3 Matrices
3.4 Pandas in Python
3.5 Importing CSV, Excel Files
3.6 Exporting CSV file
Quiz M3 - Data Manipulation and Data Analysis Tools
Python Data Analysis, Statistics
Advanced Python - Pandas
4. Data Visualialization in Python
6.1 The Matplotlib Package
6.2 Basic Matplotlib Plots
6.3 Logarithmic Plots
6.4 Scatter Plots
6.5 Three Dimensional Plots
6.6 Lag Plots
6.7 Autocorrelation Plots
6.8 Plot.ly
Reference Materials
Python Reference Book 1
Python Reference Book 2
Online Python Compiler (Interpreter)
Google Colab, or "Colaboratory" Python Compiler
Another Online Python Compiler
Discussion Forum
Python for Data Science, AI/ML Advance Discussion Forum
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Python for Data Science, AI/ML Advance Certificate Course
Summary
Python for Data Science, AI/ML Advance Certificate Course
Skill Level
:
Beginner