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Instructors:

Zoran Pavlovic and Maja Veselica

Topics

NumPy Basics

Using Pandas

Loading Data from Different Sources and File Formats

Data Cleaning and Preparation

Data Wrangling

Data Visualization

  • Matplotlib
  • Seaborn

Data Agreggation

Introduction to Time Series

Prerequisites

Knowledge of Python programming language basics (required)

College-level mathematics – linear algebra, calculus, probability and statistics (recommended)

 

Duration

5 days