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DBM3710: Data Analysis with Python

(ANC-DBM3710.AD1)
Lessons
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1

Setting Up a Python Data Science Environment

  • Topic A: Select Python Data Science Tools
  • Topic B: Install Python Using Anaconda
  • Topic C: Set Up an Environment Using Jupyter Notebook
2

Managing, Analyzing, and Transforming Data with NumPy

  • Topic A: Create NumPy Arrays
  • Topic B: Load and Save NumPy Data
  • Topic C: Analyze Data in NumPy Arrays
  • Topic D: Manipulate Data in NumPy Arrays
  • Topic E: Modify Data in NumPy Arrays
3

Managing and Analyzing Data with pandas

  • Topic A: Create Series and DataFrames
  • Topic B: Load and Save pandas Data
  • Topic C: Analyze Data in DataFrames
  • Topic D: Slice and Filter Data in DataFrames
4

Transforming and Visualizing Data with pandas

  • Topic A: Manipulate Data in DataFrames
  • Topic B: Modify Data in DataFrames
  • Topic C: Plot DataFrame Data
5

Visualizing Data with Matplotlib and Seaborn

  • Topic A: Create and Save Simple Line Plots
  • Topic B: Create Subplots
  • Topic C: Create Common Types of Plots
  • Topic D: Format Plots
  • Topic E: Streamline Plotting with Seaborn

1

Setting Up a Python Data Science Environment

  • Setting Up a Jupyter Notebook Environment
2

Managing, Analyzing, and Transforming Data with NumPy

  • Creating a NumPy Array
  • Loading and Saving NumPy Data
  • Analyzing Data in a NumPy Array
  • Using the Arithmetic Functions and Operators
  • Using the Comparison Functions and Operators
3

Managing and Analyzing Data with pandas

  • Creating Series and DataFrames
  • Loading and Saving DataFrame Data
  • Analyzing Data in a DataFrame
4

Transforming and Visualizing Data with pandas

  • Manipulating Data in a DataFrame
  • Modifying Data in a DataFrame
  • Creating a Scatter Plot
5

Visualizing Data with Matplotlib and Seaborn

  • Creating a Line Plot
  • Creating a Histogram
  • Formatting Plots

DBM3710: Data Analysis with Python

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