Summary of Python for Data Science Bootcamp Certificate Course

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Python for Data Science Bootcamp Certificate Course

Skill Level: Beginner

Python for Data Science Bootcamp 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

Online Python Compiler (Interpreter)

Google Colab, or "Colaboratory" Python Compiler

Another Online Python Compiler

Reference Materials

Python Reference Book 1

Python Reference Book 2

Discussion Forum

Python for Data Science Bootcamp Certificate Course Discussion Forum

Python for Data Science Bootcamp Certificate Course