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Intermediate Data Analysis Techniques with Pandas

This course is part of Data Analysis with Pandas and Python Specialization

Instructor: Packt - Course Instructors

What you'll learn

Utilize advanced data selection and column operations techniques in Pandas.

Employ various filtering techniques to enhance data extraction precision.

Apply Pandas methods proficiently to clean and prepare data effectively.

Manage and manipulate MultiIndex and text data within Pandas for comprehensive data handling.

Skills you'll gain

Data Analysis Software

Data Integration

Pandas (Python Package)

Data Transformation

Text Mining

Data Wrangling

Data Cleansing

Data Manipulation

There are 7 modules in this course

You'll learn essential skills such as selecting columns, adding data, and utilizing methods like value_counts and fillna for effective data cleaning. Advanced topics include filtering data, optimizing memory usage, handling missing values, and managing MultiIndex and text data. By exploring techniques for merging and concatenating DataFrames, you'll gain proficiency in handling complex data analysis tasks. This course is tailored for data analysts, scientists, and professionals seeking to enhance their Pandas skills for practical applications and real-world data challenges.

DataFrames II: Filtering Data

DataFrames III: Data Extraction

Working with Text Data

MultiIndex

GroupBy

Merging DataFrames

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