Data Analytics with Pyspark

BY
Udemy

Develop an understanding of the basic and advanced concepts involved with PySpark for data analytics.

Mode

Online

Fees

₹ 549 2299

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Data Analytics with Pyspark online certification was created by Wajahatullah Khan - Data Architect at Afiniti and is available on Udemy for applicants who want to learn the functionalities and concepts involved with PySpark for data analytics to build more scalable analyses and data pipelines to transform themselves into professional data engineers and data analysts and advance in their professional careers.

Data Analytics with Pyspark online classes by Udemy begins with an introduction to PySpark's ability to analyze large datasets and techniques for interacting with Spark from Python and connecting to Spark on Windows as individual computers. The Data Analytics with Pyspark online course includes 2 hours of learning materials, articles, downloadable resources, and quizzes on topics such as PySpark DataFrames, PySpark SQL, data extraction, data visualization, resilient distributed datasets, and will acquire the skills to perform better data analytics and use PySpark to easily analyze large datasets at scale in their organizations.

The highlights

  • Certificate of completion
  • Self-paced course
  • 2 hours of pre-recorded video content
  • 1 article 
  • 1 downloadable resource
  • Quizzes

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 549  ₹2,299
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of big data Knowledge of data visualization

After completing the Data Analytics with Pyspark certification course, applicants will gain an in-depth understanding of the principles of data analytics using PySpark as well as will acquire an overview of the fundamentals of big data and Spark. Applicants will explore the functionalities associated with PySaprk SQL functions, PySpark Dataframes, Matplotlib, and resilient distributed datasets. Applicants will also learn about strategies involved with data extraction and data visualization using PySpark.

The syllabus

Introduction

  • Introduction

Spark Overview

  • Big Data and Spark Overview
  • Quiz - 1

Resilient Distributed Dataset (RDD)

  • RDD Introduction
  • Quiz - 2
  • RDD Operations
  • Quiz - 3
  • Pair RDD

Working with Pyspark DataFrames

  • PySpark Dataframes Overview
  • Quiz - 4
  • PySpark Column Class | Operators & Functions

PySpark SQL Functions

  • SQL Aggregate Functions
  • SQL Windows Functions

Visualizations in PySpark

  • Matplotlib with PySpark

Instructors

Mr Wajahatullah Khan

Mr Wajahatullah Khan
Data Architect
Freelancer

Other Bachelors, M.S

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