SECP3223 - 01 Data Analytics Programming

This course introduces the use of any available open-source programming language specifically for Data Science (current trend is Python). Students will learn about powerful ways to store and manipulate data to do data analysis. The course is divided into two parts. In Part 1, students will learn general programming practices and tools. Part 2 will focus more on data analysis, studying statistical techniques, machine learning and
presentation of findings.

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Topics

  1. Introduction
  2. Python Basics
  3. Built-in Data Structures and Functions and Files
  4. NumPy Basics
  5. Pandas Basics
  6. Data Cleaning and Preparation
  7. Data Wrangling
  8. Plotting and Visualization
  9. Data Aggregation and Group Operations
  10. Machine Learning