PySpark Foundation for Data Analysis | Beginners

Data Engineering, PySpark, Data Analysis, Coding exercise, Data Analytics

Have you ever wondered How Big Data is helping Teams Win Big at the T20 World Cups/IPL?

In this course we will focus on very basic Data analysis to get useful insights on IPL dataset with the help of PySpark.

Learn to code PySpark like a real world developer. Here our major focus will be on Practical applications of PySpark and bridge the gap between academic knowledge and practical skill.

About PySpark:

Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Python!

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!

Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!

What you will learn :

• What is Data Analysis

• Data analysis in Elections

• Data Analysis in Cricket

• Big Data Cleaning

• Calculating Averages

• Manipulating Data

• GROUPBY

• Aggregations

• Sorting

• Joins in PySpark

Prerequisites :

• Some basic programming skills (Not Mandatory)

• Will to implement theoretical knowledge in pratical.

Who this course is for:

• Beginners who want to learn Big Data or experienced people who want to transition to a Big Data role

• Big data beginners who want to learn how to code in the real world

• Aspiring candidates for data analytics or data engineering role