Apache Spark with Python – Learn by Doing

Apache Spark with Python – Learn by Doing, available at $39.99, has an average rating of 3.55, with 33 lectures, 4 quizzes, based on 150 reviews, and has 1012 subscribers.

You will learn about Have confidence using Spark from Python Understand Spark core concepts and processing options Run Spark and Python on their own computer Setup Spark on new Amazon EC2 cluster Deploy Python Programs to to a Spark Cluster Know what tools to use for Spark Adminstration Certificate of completion 30 money back guarantee This course is ideal for individuals who are People looking for career growth and new opportunities or People curious if Spark with Python could be good solution for their technical challenges or People who do not want to evolve or learn new ways to do things should NOT take this course It is particularly useful for People looking for career growth and new opportunities or People curious if Spark with Python could be good solution for their technical challenges or People who do not want to evolve or learn new ways to do things should NOT take this course.

Enroll now: Apache Spark with Python – Learn by Doing

Summary

Title: Apache Spark with Python – Learn by Doing

Price: $39.99

Average Rating: 3.55

Number of Lectures: 33

Number of Quizzes: 4

Number of Published Lectures: 31

Number of Published Quizzes: 4

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 35

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Have confidence using Spark from Python
Understand Spark core concepts and processing options
Run Spark and Python on their own computer
Setup Spark on new Amazon EC2 cluster
Deploy Python Programs to to a Spark Cluster
Know what tools to use for Spark Adminstration
Certificate of completion
30 money back guarantee

Who Should Attend

People looking for career growth and new opportunities
People curious if Spark with Python could be good solution for their technical challenges
People who do not want to evolve or learn new ways to do things should NOT take this course

Target Audiences

People looking for career growth and new opportunities
People curious if Spark with Python could be good solution for their technical challenges
People who do not want to evolve or learn new ways to do things should NOT take this course

Would you like to advance your career and learning Apache Spark will help?

There’s no doubt Apache Spark is an in-demand skillset with higher pay. This course will help you get there.

This course prepares you for job interviews and technical conversations. At the end of this course, you can update your resume or CV with a variety of Apache Spark experiences.

Or maybe you need to learn Apache Spark quickly for a current or upcoming project?

How can this course help?

You will become confident and productive with Apache Spark after taking this course. You need to be confident and productive in Apache Spark to be more valuable.

Now, I’m not going to pretend here. You are going to need to put in work. This course puts you in a position to focus on the work you will need to complete.

This course uses Python, which is a fun, dynamic programming language perfect for both beginners and industry veterans.

At the end of this course, you will have rock solid foundation to accelerate your career and growth in the exciting world of Apache Spark.

Why choose this course?

Let’s be honest. You can find Apache Spark learning material online for free. Using these free resources is okay for people with extra time.

This course saves your time and effort. It is organized in a step-by-step approach that builds upon each previous lessons. PowerPoint presentations are minimal.

The intended audience of this course is people who need to learn Spark in a focused, organized fashion. If you want a more academic approach to learning Spark with over 4-5 hours of lectures covering the same material as found here, there are other courses on Udemy which may be better for you.

This Apache Spark with Python course emphasizes running source code examples.

All source code examples are available for download, so you can execute, experiment and customize for your environment after or during the course.

This Apache Spark with Python course covers over 50 hands-on examples.We run them locally first and then deploy them on cloud computing services such as Amazon EC2.

The following will be covered and more:

What makes Spark a power tool of Big Data and Data Science?
Learn the fundamentals of Spark including Resilient Distributed Datasets, Spark Actions and Transformations
Run Spark in a Cluster in your local environment and Amazon EC2
Deploy Python applications to a Spark Cluster
Explore Spark SQL with CSV, JSON and mySQL (JDBC) data sources
Convenient links to download all source code
Reinforce your understanding through multiple quizzes and lecture recap

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Course Overview and Methodology

Chapter 2: Apache Spark and Python Foundational Building Blocks

Lecture 1: The Big Picture – Running Some Code, Analyzing Data with Apache Spark

Lecture 2: Apache Spark Fundamentals – The Essentials You Need to Know

Chapter 3: Prepare Your Environment

Lecture 1: Setting Up Your Environment

Lecture 2: For Windows Operating System Users Only

Lecture 3: Download and Install Spark

Lecture 4: Download and Install Python

Lecture 5: [Milestone] Setup Checkpoint

Lecture 6: Check ipython notebook Setup (optional)

Lecture 7: Sample Data Access

Lecture 8: [Milestone] Setup References and Download Links

Chapter 4: Apache Spark Transformations and Actions

Lecture 1: Spark Transformations and Actions Overview

Lecture 2: Spark Transformations Part 1

Lecture 3: Spark Transformations Part 2

Lecture 4: Spark Transformations Part 3

Lecture 5: Spark Actions

Lecture 6: [Milestone] Download Resources and Source Code Access

Chapter 5: Apache Spark Clusters

Lecture 1: Spark on a Cluster Introduction

Lecture 2: Run Standalone Cluster

Lecture 3: Deploy Python Programs to the Cluster

Lecture 4: [Milestone] Write and Deploy Python Program to the Spark Cluster

Lecture 5: Spark Cluster Administrative Diagnostics – The Spark UI

Lecture 6: Create an Amazon EC2 Based Cluster Part 1

Lecture 7: [Milestone] Create an Amazon EC2 Based Cluster Part 2

Chapter 6: Spark SQL

Lecture 1: Spark SQL Introduction

Lecture 2: Spark SQL with New York City Uber Trips CSV Source

Lecture 3: Spark SQL with Historical World Cup Player Statistics JSON Source

Lecture 4: Spark SQL with mySQL (JDBC) source

Lecture 5: [Milestone] Spark SQL Resources and Download Source Code

Chapter 7: Conclusion and Free Bonus Lecture

Lecture 1: Apache Spark with Python Course Conclusion and Looking Ahead

Lecture 2: Bonus Lecture: Access to Free Books and Course Discounts

Instructors

Todd McGrath
Data Engineer, Software Developer, Mentor

Rating Distribution

1 stars: 8 votes
2 stars: 10 votes
3 stars: 30 votes
4 stars: 47 votes
5 stars: 55 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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