Prerequisites: No prior knowledge required

Level: Beginner

What You'll Learn

• NumPy Arrays

  Create, manipulate, and perform mathematical operations on NumPy N-dimensional arrays.

• Array Indexing

  Select and modify subsets of data within NumPy arrays using various indexing techniques.

• Pandas Data Structures

  Understand and work with Pandas Series and DataFrames, the core structures for data analysis.

• Data Loading and Saving

  Read data from common file formats (like CSV, Excel) into Pandas DataFrames and save processed data.

• Data Cleaning

  Handle missing values and perform basic data cleaning operations using Pandas.

• Data Selection

  Select rows and columns from Pandas DataFrames using labels, positions, and conditions.

• Data Aggregation

  Group data and calculate summary statistics using Pandas groupby functionality.

• Combining Data

  Combine data from multiple sources using concatenation and merging techniques in Pandas.