PySpark Course

Learn how to process and analyze large-scale datasets using PySpark and Apache Spark. Master DataFrames, transformations, actions, distributed computing concepts, and big data processing techniques to build scalable data pipelines for modern analytics.

🔍

No topics found matching your search.

🔥 PySpark Basics (Getting Started)

Introduction to PySpark

Learn the fundamentals of PySpark and how it enables distributed data processing using Apache Spark.

Create a DataFrame in PySpark

Understand how to create DataFrames in PySpark for scalable data analysis.

Read CSV File in PySpark

Learn how to load and process CSV datasets using PySpark DataFrames.

🧱 DataFrame Column Operations

Create a New Column in PySpark

Learn how to create new columns in a PySpark DataFrame using expressions and functions.

Rename Column in PySpark

Understand how to rename columns in a DataFrame using PySpark functions.

Return DataFrame Columns in PySpark

Retrieve and inspect column names from a PySpark DataFrame.

Drop Column from DataFrame in PySpark

Learn how to remove unnecessary columns from a PySpark DataFrame.

Select Columns from DataFrame in PySpark

Select specific columns from a DataFrame for analysis or transformation.

The Cast Method in PySpark

Convert column data types in PySpark using the cast method.

🧹 Data Cleaning and Transformation

Replace Value in DataFrame

Learn how to replace specific values in a PySpark DataFrame using built-in transformation methods.

The dropDuplicates() Method in PySpark

Remove duplicate rows from a DataFrame using the dropDuplicates() method.

The dropna() Method in PySpark

Clean datasets by removing rows that contain null values using dropna().

fillna Method in PySpark

Handle missing data by replacing null values using the fillna() method.

🔍 Filtering and Sorting Data

Filter Rows from DataFrame

Learn how to filter rows from a PySpark DataFrame using conditional expressions.

The sort() Method in PySpark

Sort DataFrame rows by one or more columns using the sort() method.

The first() Method in PySpark

Retrieve the first row from a PySpark DataFrame.

tail Method in PySpark

Retrieve the last rows of a DataFrame using the tail method.

🔤 String and Numeric Functions

The lower Method in PySpark

Convert string values to lowercase using the lower() function in PySpark.

The round Method in PySpark

Round numeric values in a DataFrame column using the round() method.

Upper Method in PySpark

Convert string values to uppercase using the upper() function.

📊 Aggregation and Analysis

The count() Method in PySpark

Learn how to count the total number of rows in a PySpark DataFrame using the count() method.

The groupby and agg Method in PySpark

Perform aggregations on grouped data using groupBy() and agg() in PySpark.

💾 Writing Data

The write Method in PySpark

Learn how to save a PySpark DataFrame to external storage such as CSV files using the write method.