Spark and Python for Big Data with PySpark

Name: Spark and Python for Big Data with PySpark
Brand: Udemy
SKU: 43026
Price: 14.99 USD
Availability: InStock

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Jose Portilla 8 Big Data Udemy

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Reviews (23)

8.3/10 (Our Score)

Product is rated as #39 in category Big Data

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!

This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we’ve done that we’ll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you’ll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem!

Instructor Details

Jose PortillaHead of Data Science, Pierian Data Inc.

Votes: 0

Courses : 21

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

Specification: Spark and Python for Big Data with PySpark

Duration	10.5 hours
Year	2020
Level	Intermediate
Certificate	Yes
Quizzes	No

23 reviews for Spark and Python for Big Data with PySpark

4.3 out of 5

★★★★★

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★★★★★
YuanyuMu – February 5, 2020
Good class overall, with a lot of examples and reusable notebook. However it is little bit slow for people with machine learning/ python knowledge.
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★★★★★
Prithviraj Patil – February 6, 2020
Yes, it was a good match but the final project could have been better or should have provided more projects using spark.
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★★★★★
Suchismita Adhikary – February 6, 2020
yes
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★★★★★
Sandip Kandari – February 8, 2020
as of now yes. I am liking this course and looking forward to get some good and hands on content
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★★★★★
Lucero Yanez – February 8, 2020
Excellent course, all information well explained. It really helped me to understand and start working with Spark.
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★★★★★
Andrew Gruenberger – February 8, 2020
This was a really great way to get an introduction to some interesting features of pyspark. The only issues I have are that it is a bit dated now and something about environment set up for a local VM was not quite as straightforward as the lecture on it. I believe this is also due to some things being outdated. I left answers in the Q&A for other students, and hopefully they can move forward if they have the same issues that I encountered. Thanks, Jose!
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★★★★★
Juan Camilo Arias – February 11, 2020
great content
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★★★★★
Emanuel Isaac Afanador Pacheco – February 11, 2020
Very good course
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★★★★★
Selvamani G – March 22, 2020
Good
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★★★★★
Lakshmi Srinivasan – March 23, 2020
Yes. This course meets my expectations at an affordable price
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★★★★★
Miguel Vieira – March 24, 2020
Ja
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★★★★★
S.M. RASHEL RANA – March 25, 2020
The way it is progressing, I like the Idea . Good thing is contents are digestible.
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★★★★★
Gokul V Gopal – March 28, 2020
Although the many concepts are covered well, I feel like it is missing on how they are used in the industry. Some insight on how spark is used in real time industry with a short example would have made it much better.
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★★★★★
Gerardo Adrian Aguirre Vivar – March 29, 2020
Clear explanation of how to work with Spark and Python. In my opinion, I would like it to be explained in depth theorical terms about Spark.
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★★★★★
Francisco C J Bispo – March 30, 2020
Yes!
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★★★★★
Anushka Jain – March 30, 2020
Nice content. Very informative
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★★★★★
Sneja Maria Ponnor Jolly – July 8, 2020
good
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★★★★★
Harshit Patidar – July 10, 2020
More Focused to ML part but its good to platform to explore Pyspark
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★★★★★
Somal Kant – July 12, 2020
excellent and easy to understand
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★★★★★
Gregory A Beam – July 25, 2020
I found this course to be very high quality both in terms of content and subject matter coverage. I found the content file(s) to be far better than many online classes I’ve taken. I plan to take more courses from this author as I enjoy the pace, tone and expertise he exhibits. My only request would be to have the course updated to use the latest version of Spark (3.0.0 at the time of this rating/review).
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★★★★★
Lionel Nkenyereye – July 26, 2020
The explanation is clear on the purpose of the course.
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★★★★★
Ajay Kumar – July 26, 2020
very good course..i learnt a lot
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★★★★★
Benjamin Cramet – July 27, 2020
Tres bon cours
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