Handling Big Data with Pandas, Polars, and PySpark

PySpark made easy! Learn Pandas and Polars to navigate any dataset, uncover valuable insights, and become a data analysis powerhouse.

1 hours
20 lessons
200 xp

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An outline of this training course

Discover big data management with our beginner-friendly Introduction to PySpark course. Learn to handle large datasets using PySpark, Pandas, and Polars. The course covers data formatting, transformation, visualization, advanced SQL querying, and creating Regression Pipelines.

No prior experience needed. Just bring a computer, an internet connection, and enthusiasm for big data. Join us to master PySpark, Pandas, and Polars and enhance your data projects!

 

What is needed to take this course 

No prior experience? No problem! This course is crafted with beginners in mind, ensuring a smooth learning journey through the world of PySpark, Pandas, and Polars. All you need is a computer, an internet connection, and a zeal to dive into the fascinating realm of big data management and analysis. 

 

Who is this course for

Data enthusiasts, aspiring data analysts, and professionals seeking to enhance their data management capabilities will find this course immensely useful. Covering foundational to advanced concepts in PySpark, Pandas, and Polars, it offers valuable insights for anyone looking to navigate and analyze big data efficiently.

 

Details of what you will learn in this course

By the end of this course, you will:

  • Understand fundamental concepts of PySpark, Pandas, and Polars.
  • Explore efficient big data handling and analysis techniques.
  • Develop skills in data formatting, transformation, and visualization.
  • Learn advanced data querying using SQL with PySpark.
  • Implement practical data management solutions through hands-on exercises.

 

What you get with the course

  • A two hour of self-paced video training
  • Resources that include files used in the tutorial and the course guide
  • An Assessment

 

Program Level

Beginner

 

Field(s) of Study

Data Science & Data Analysis

 

Instruction Delivery Method

QAS Self-study

 

***This course was published in October 2023.

 

Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org

What our

Students Say
Curriculum
1

Course Overview


2

Resources


3

Introduction to Data Handling


4

Leveraging PySpark for Data Analysis


5

Advanced Data Querying with SQL


6

Conclusion and Next Steps


Your

Instructor
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Gaelim Holland

Enterprise DNA Expert

  • Innovative Data Analyst and Digital Channel Optimization Specialist with thorough knowledge of Omni channel analytics and incorporating online and offline data in funnel analysis.
  • Skilled in maximizing online sales, revenue, and call-to-actions through conversion rate optimization, statistical science, and A/B testing. Deep expertise in statistical testing tools, data extraction, and data science.
  • My 15 year career has allowed me to work in multiple data science roles in several industries at organizations from the startup level to Fortune 500 companies across 3 continents.

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