Ementorhub

What you'll learn

Create and manipulate NumPy arrays, including performing basic arithmetic operations and handling missing data.

Apply advanced NumPy techniques such as broadcasting, masking, and aggregation functions.

Construct and modify pandas DataFrames and Series, use methods to filter and inspect data, and handle missing data.

Utilize pandas for data aggregation, summary statistics, and dataframe merging to analyze a real dataset.

Skills you'll gain

NumPy

Pandas (Python Package)

Python Programming

Data Structures

Descriptive Statistics

Data Cleansing

Data Manipulation

Debugging

There are 4 modules in this course

At the start of the course, you’ll be introduced to the NumPy library and will learn to perform basic NumPy array operations. After understanding the basics of the NumPy library, you’ll explore more advanced array manipulations, including aggregating functions, broadcasting, reshaping, sorting, and joining arrays. By the end of this course, you will have the skills to apply multiple data manipulation techniques using advanced methods and apply functions to your code. This is the second course in the four-course series, “Data-Oriented Python Programming and Debugging,” where you’ll work to strengthen your programming capabilities and enhance your problem-solving skills.

Advanced Numpy Array Manipulations and Operations

Mastering Pandas for Data Science

Advanced Data Handling and Analysis with Pandas