PySpark - build dataframes with Python, Apache, Spark and SQL
PySpark - build dataframes with Python, Apache, Spark and SQL
Created by John Bura
01
Skill level
All levels
02
Sections
2
03
Lectures
14
04
Instructor
John Bura
What's inside
This course includes.
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2
Sections
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14
Lectures
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14
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Course Overview 6 lectures
00 Project Preview
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01 What Is Apache Spark
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02 What Are Resilient Distributed Datasets
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03A What Is A Dataframe
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03B What You'll Need
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Source Files
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+ Build DataFrames from Spreadsheets with PySpark 8 lectures
04 Start A Spark Session
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05 Load Data As A CSV
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06 Perform Basic Dataframe Operations
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07 Format Dataframe Table
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08 Perform Dataframe Math Operations
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09 Perform Dataframe Queries
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10 Build SQL Queries With Spark
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Source Files B
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Description
About this course.
**Course Title: "PySpark - Build DataFrames with Python, Apache Spark, and SQL"**
**Curriculum: Build DataFrames from Spreadsheets with PySpark**
**Module Overview:**
Unlock the potential of PySpark in data processing and analysis with our module on building DataFrames from spreadsheets. In this hands-on session, participants will delve into the practical aspects of importing, transforming, and manipulating data from spreadsheets using Python, Apache Spark, and SQL. Gain the skills needed to seamlessly integrate PySpark into your data workflows and leverage its powerful capabilities for processing large datasets.
**Who Should Enroll:**
- Data analysts and scientists
- Database administrators
- Business intelligence professionals
- Data engineers
Unlock the potential of PySpark in spreadsheet-based data processing. Enroll now in "PySpark - Build DataFrames with Python, Apache Spark, and SQL" to elevate your data manipulation skills and seamlessly integrate PySpark into your data workflows.
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
PySpark - build dataframes with Python, Apache, Spark and SQL