Introduction to Pyspark: Handling Big Data with Pandas Polars and Pyspark

An outline of this training course

Explore the fundamentals of big data management with our Introduction to Pyspark course. This beginner-friendly course demystifies the process of handling large datasets using PySpark, Pandas, and Polars, providing a solid foundation in data processing and analysis. 

The curriculum is segmented into carefully crafted chapters, each focusing on key aspects like data formatting, transformation, visualization, and advanced querying using SQL. From exploring data handling techniques in Pandas and Polars to delving into the robust capabilities of PySpark for data analysis and management, the course covers a spectrum of essential topics. The inclusion of a dedicated section on Regression Pipeline further enriches the learning path, offering insights into creating effective data processing and analysis pipelines. 

Equip yourself with the knowledge and skills to navigate the world of big data, understanding, and utilizing the power of PySpark, Pandas, and Polars in your future data projects.

What are 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 during 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