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Python for Data Science

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Overview

Harness the power of Python for data-driven decision-making by mastering the fundamentals of Python programming and data analysis. Develop key skills to explore, manipulate, and analyze data, create meaningful visualizations, and perform statistical analysis, all through hands-on projects using real-world datasets.

Syllabus

Python Fundamentals

Data Types & Variables

Statements & Expressions
Variables
Integers & Floats
Strings

Data Structures & Attributes

Functions & Methods
Lists
Indexing & Slicing
Booleans

Structuring Programs

Complex Data Structures & Control Flow

Dictionaries
Conditional Statements
For Loops
Creating Functions

Packages & Object Oriented Programming

Classes & Objects
Modules & Imports
Packages & Documentation

Arrays & Dataframes

Numpy

Arrays
Universal Functions
Boolean Indexing

Pandas

Pandas Dataframes
Pandas Series & dtypes
Column Manipulation
Descriptive Statistics

Analyzing & Visualizing Data

Data Analysis

Filtering & Cleaning Data
Groupby Operations
Pivot Tables

Data Visualization

Plotting with Matplotlib
Bar Charts
Scatter Plots
Histograms
Customizing Visualizations

Taught by

Garfield Stinvil, Colin Jaffe, and Brian McClain

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