This bootcamp takes you from the basics of Python programming through the foundations of data science and into the starting point of machine learning. You will begin by learning Python fundamentals including variables, data types, functions, and control flow before moving into essential tools lik...
Overview
Syllabus
- Introduction to Python for Data Science
- Variables
- Integer and Decimal
- Input Function
- Input Function Part 2
- Round Function
- Cafe Bill Challenge Solution
- Boolean
- List Data Type
- Methods Functions
- Set & Vector Operation
- If Else Logic
- If Else Logic Challenge Solution
- Datetime Part 1
- Datetime Part 2
- Random Module
- Loops
- Loop the Nums List Challenge
- List Methods Review Part 1
- List Methods Review Part 2
- Loop Method Exercise
- Loop Challenges
- In and Not In Operators
- String Methods
- Nested Loop
- Dictionaries Part 1
- Dictionaries Part 2
- Dictionaries Scrabble Exercise
- Numpy
- Numpy Array
- 2D Selections with Numpy Array
- Pandas Dataframes Part 1
- Pandas Dataframes Part 2
- Pandas Dataframes Part 3
- Pandas Dataframes Part 4
- Pandas Dataframes Part 5
- Pandas Dataframes Part 6
- Dataframes Location
- Select Rows by Condition
- AT & IAT
- Dataframes from Dictionary
- Dataframes Challenges
- String Split
- Select and Filter by Condition
- Vector Operations
- Introduction to Matplotlib
- Python Data Selection
- Data Visualization with Matplotlib
- Line and Scatter Charts with MatPlotlib
- Linear Regression with Matplotlib
- Pivot, Plot, Animate
- Data Cleaning
- Two Different Ways to Make a Bar Chart
- Pivoting the Data
- There is Always Time for Pie (Charts)
- Animated Bar Chart Race
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