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Apache Spark 3 – Spark Programming in Python for Beginners

Data Engineering using Spark Structured API
4.5
4.5/5
(3,418 reviews)
19,466 students
Created by

9.3

Classbaze Grade®

9.1

Freshness

9.1

Popularity

9.2

Material

Data Engineering using Spark Structured API
Platform: Udemy
Video: 6h 36m
Language: English
Next start: On Demand

Best Apache Spark classes:

Classbaze Rating

Classbaze Grade®

9.3 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.1 / 10
This course was last updated on 7/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.1 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.2 / 10
Video Score: 8.6 / 10
The course includes 6h 36m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 47 minutes of 113 Apache Spark courses on Udemy.
Detail Score: 9.1 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
14 resources.
0 exercise.
0 test.

In this page

About the course

This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

About the Course
I am creating Apache Spark 3 – Spark Programming in Python for Beginners course to help you understand the Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session like approach. We will be taking a live coding approach and explain all the needed concepts along the way.
Who should take this Course?
I designed this course for software engineers willing to develop a Data Engineering pipeline and application using the Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building the organization’s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Spark implementation. Still, they work with the people who implement Apache Spark at the ground level.
Spark Version used in the Course
This Course is using the Apache Spark 3.x. I have tested all the source code and examples used in this Course on Apache Spark 3.0.0 open-source distribution.

What can you learn from this course?

✓ Apache Spark Foundation and Spark Architecture
✓ Data Engineering and Data Processing in Spark
✓ Working with Data Sources and Sinks
✓ Working with Data Frames and Spark SQL
✓ Using PyCharm IDE for Spark Development and Debugging
✓ Unit Testing, Managing Application Logs and Cluster Deployment

What you need to start the course?

• Programming Knowledge Using Python Programming Language
• A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM

Who is this course is made for?

• Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark
• Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark

Are there coupons or discounts for Apache Spark 3 - Spark Programming in Python for Beginners ? What is the current price?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $17.1 of 113 Apache Spark courses. So this course is 12% cheaper than the average Apache Spark course on Udemy.

Will I be refunded if I'm not satisfied with the Apache Spark 3 - Spark Programming in Python for Beginners course?

YES, Apache Spark 3 – Spark Programming in Python for Beginners has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Apache Spark 3 - Spark Programming in Python for Beginners course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who will teach this course? Can I trust Prashant Kumar Pandey?

Prashant Kumar Pandey has created 12 courses that got 11,360 reviews which are generally positive. Prashant Kumar Pandey has taught 67,711 students and received a 4.6 average review out of 11,360 reviews. Depending on the information available, we think that Prashant Kumar Pandey is an instructor that you can trust.
Architect, Author, Consultant, Trainer @ Learning Journal
Prashant Kumar Pandey is passionate about helping people to learn and grow in their career by bridging the gap between their existing and required skills. In his quest to fulfill this mission, he is authoring books, publishing technical articles, and creating training videos to help IT professionals and students succeed in the industry.
With over 18 years of experience in IT as a developer, architect, consultant, trainer, and mentor, he has worked with international software services organizations on various data-centric and Bigdata projects.
Prashant is a firm believer in lifelong continuous learning and skill development. To popularize the importance of lifelong continuous learning, he started publishing free training videos on his YouTube channel and conceptualized the idea of creating a Journal of his learning under the banner of Learning Journal.
He is the founder, lead author, and chief editor of the Learning Journal portal that offers various skill development courses, training, and technical articles since the beginning of the year 2018.
Browse all courses by on Classbaze.

9.3

Classbaze Grade®

9.1

Freshness

9.1

Popularity

9.2

Material

Platform: Udemy
Video: 6h 36m
Language: English
Next start: On Demand

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