– THE PROFESSIONAL WAY TO LEARN PYSPARK FOR WORK –
Apache Spark
Certification Training
A premium PySpark course to prepare you for becoming a Databricks Certified Associate Developer
What Learners Say
What's included?
“Let's get you certified!”
Meet Florian Roscheck
“I can't believe I don't know anything about big data processing!” – this is what set me off on an exciting journey to learn Apache Spark. Today, I have taught more than 5,000 students how to pass the Databricks Spark certification with my popular practice exams.
As a Sr. Data Scientist at a major consumer goods company in Germany, I currently apply big data models with my data team in a business context. Sustainability is an important topic for me, not only since working in California as a data scientist at a renewable energy company.
I love that Apache Spark is open-source and volunteer for promoting open practices in research, data, and scientific computing at NumFOCUS.
As a Sr. Data Scientist at a major consumer goods company in Germany, I currently apply big data models with my data team in a business context. Sustainability is an important topic for me, not only since working in California as a data scientist at a renewable energy company.
I love that Apache Spark is open-source and volunteer for promoting open practices in research, data, and scientific computing at NumFOCUS.
Course Content
Take your Apache Spark skills to the next level!
Apache Spark Certification Training
Ready to boost your profile as a data professional with verified, job-ready Apache Spark skills?
“Is it worth it?”
...a question you or your employer might ask.
FAQ
What format is the course in?
The course consists of videos, interactive coding exercises, and practice questions, incl. practice exams. This content is distributed over 18 modules, alternating between a focus on theory and practice, helping to keep you interested and engaged.
There are 14.5 hours of video content distributed over 96 HD videos. The videos are used for different purposes. One purpose is to be a guided educational tour of Spark's architecture. Another purpose is to allow you to "learn by doing". In part of the videos, you will be coding along in your browser as you watch Florian write and explain Apache Spark code. This allows you to use and learn Apache Spark in an intuitive, practical way.
The 20 interactive coding exercises in this course each consist of an instructional video, an interactive notebook, an evaluation script, and a solution video. In the instructional video, you will read the instruction for the exercise together with Florian and he will give you tips on how to best solve the exercise. Then, you will solve the exercises on your own in an interactive coding environment in your browser. When you submit code that is not (yet) solving the exercise, you get valuable feedback specifying what you can improve based on an evaluation script that is provided in the course. Finally, independent of if you figured out the solution to the exercise or not, Florian will show you his approach to solving the exercise. All exercises are ungraded and you get the opportunity to repeat them as many times as possible for you to feel fit for the Databricks exam.
At the end of each module, you will find a couple of practice questions that check whether you understood the content of the module. When you provide a wrong answer, you will get an explanation about why your answer was wrong, allowing you to learn from your mistakes.
The 3 original practice tests in this course help to prepare you for the environment and content of the Databricks certification in a targeted way. You will get familiar with the question format of the Databricks certification as well as the breadth of topics that it covers. The greatest opportunity for you here is to take advantage of the many thorough explanations of every answer of the, all in all, 180 exam questions. Once you submit an answer, you will get immediate feedback about if your answer was right and, if it was wrong, what was wrong with your answer. This targeted feedback will give you a chance to rapidly improve your understanding of PySpark, setting you up for an express path to pass the Databricks certification and nurture your big data career.
There are 14.5 hours of video content distributed over 96 HD videos. The videos are used for different purposes. One purpose is to be a guided educational tour of Spark's architecture. Another purpose is to allow you to "learn by doing". In part of the videos, you will be coding along in your browser as you watch Florian write and explain Apache Spark code. This allows you to use and learn Apache Spark in an intuitive, practical way.
The 20 interactive coding exercises in this course each consist of an instructional video, an interactive notebook, an evaluation script, and a solution video. In the instructional video, you will read the instruction for the exercise together with Florian and he will give you tips on how to best solve the exercise. Then, you will solve the exercises on your own in an interactive coding environment in your browser. When you submit code that is not (yet) solving the exercise, you get valuable feedback specifying what you can improve based on an evaluation script that is provided in the course. Finally, independent of if you figured out the solution to the exercise or not, Florian will show you his approach to solving the exercise. All exercises are ungraded and you get the opportunity to repeat them as many times as possible for you to feel fit for the Databricks exam.
At the end of each module, you will find a couple of practice questions that check whether you understood the content of the module. When you provide a wrong answer, you will get an explanation about why your answer was wrong, allowing you to learn from your mistakes.
The 3 original practice tests in this course help to prepare you for the environment and content of the Databricks certification in a targeted way. You will get familiar with the question format of the Databricks certification as well as the breadth of topics that it covers. The greatest opportunity for you here is to take advantage of the many thorough explanations of every answer of the, all in all, 180 exam questions. Once you submit an answer, you will get immediate feedback about if your answer was right and, if it was wrong, what was wrong with your answer. This targeted feedback will give you a chance to rapidly improve your understanding of PySpark, setting you up for an express path to pass the Databricks certification and nurture your big data career.
Is there a discount for students?
If you are a student and are interested in picking up solid Apache Spark skills, then, first of all, I congratulate you on your wise decision. Second, please reach out to florian@headindata.com with proof that you are a student who is currently enrolled in an educational institution (e.g. a photo of your valid student ID card), so I can provide you with an individualized coupon.