Data Analytics with Python

Data Analytics with Python (PTN-109) is a 2-day instructor-led training designed for Python programmers who want to expand into data analytics. This course focuses on equipping learners with the essential tools and techniques to handle, analyze, and visualize data using Python’s most powerful libraries: NumPy, Pandas, and Matplotlib.

You’ll start by exploring the fundamentals of data analysis, including the types of data, open data principles, and the structured process of converting raw data into insights. Then, you’ll dive into the Python ecosystem—comparing Python 2 vs 3, exploring IDEs, and introducing key packages used in analytics workflows.

Hands-on sessions focus on:

• NumPy: Learn how to create and manipulate multi-dimensional arrays, perform numerical operations, slice/index data, and work with structured arrays.

• Pandas: Get introduced to powerful data structures like Series and DataFrames, perform cleaning, transformation, aggregation, and prepare data for further analysis.

• Data I/O: Read/write data from files including CSV, Excel, JSON, and even connect with MongoDB for NoSQL operations.

• Matplotlib: Build compelling charts, including line graphs, bar charts, histograms, and multi-panel plots for visual storytelling.

You’ll also cover more advanced topics like string manipulation, hierarchical indexing, and correlation analysis to ensure your analysis is both meaningful and presentation-ready.

This course is perfect for junior data analysts, developers entering data roles, and Python users looking to automate and scale their analytics tasks.