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PySpark Foundation for Data Analysis

person icon Akash Pawar

3.9

PySpark Foundation for Data Analysis

Learn to code PySpark like a real world developer

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Akash Pawar

English [CC]

category icon IT & Software,IT certifications,Data Analysis

Lectures -28

Duration -56 mins

3.9

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Course Description

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 the 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!

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

Goals

  • 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

  • AND MUCH MORE......

Prerequisites

  • Some basic programming skills (Not Mandatory)

  • Willingness to learn and implement.

PySpark Foundation for  Data Analysis

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
6 Lectures
  • play icon Introduction to course 00:45 00:45
  • play icon What is Data Analysis 00:43 00:43
  • play icon Data analysis in Elections 00:40 00:40
  • play icon Data Analysis in Cricket 01:37 01:37
  • play icon Learning Outcomes 01:05 01:05
  • play icon Insights to get from data 02:20 02:20
Let's begin with Practicals!
22 Lectures
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Instructor Details

Akash Pawar

Akash Pawar


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