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Noble Desktop

Python for Data Science Course Online (Self-Paced)

via Noble Desktop

Overview

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to explore and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with 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

Brian McClain, Art Yudin, Mourad Kattan, Garfield Stinvil, and Colin Jaffe

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