About course

Take your Python skills to the next level with this focused course on NumPy and Pandas—two essential libraries for data analytics. Whether you’re managing large datasets or performing complex numerical computations, this course will teach you how to harness the power of Python’s most popular data manipulation tools. Designed for beginners who’ve just learned Python basics, it’s the ideal way to transition into the world of data analytics.

What you will learn

In this course, you'll explore NumPy’s powerful array operations and functions for numerical analysis, and then dive into Pandas to handle, clean, and analyze real-world datasets. You’ll learn to work with DataFrames, manipulate data, and perform advanced operations with ease. By the end, you'll be able to efficiently manage data and drive insights from it, making your work as a data analyst much smoother.

Syllabus

Introduction to Numpy

Working with NumPy arrays

NumPy operations

Introduction to Pandas

Dataframes in Pandas

Data cleaning in Pandas

Handling Missing Data

Data type conversion

Dealing with duplicates and Outliers

Data Manipulation in Pandas

Data filtering

Grouping and Aggregating

Merging and Joining