In this course, you will learn Apache Spark framework and its components. Pyspark is an interactive layer of Spark built on python. You can leverage all Spark capabilities through Pyspark. During the training, We demonstrate how to build y…
Rehearse the interview and test yourself before the real thing.
Answer role-based questions out loud, then read the report on how you did. Five attempts come with the course.
Unlocked on enrolFree5 AI mock interviewsEach one scored, with a written report you can actually act on.Included in the course feeA fresh 40-question assessment is written each time you start — 200 questions across the module, with the reasoning behind every answer.
Unlocked on enrolFree5 practice assessments40 questions each, 200 across the module — every answer explained.Included in the course feeEvery attempt is kept in your dashboard, so you can see which topics improved and which still need work.
Unlocked on enrolFreeYour progress, trackedEvery attempt kept, so you can see exactly what improved.Yours from day oneAbout the PySpark Essential Training program.
Trusted by professionals across 30+ countries.
Certified consultants with 12+ years of real project experience.
Real-time scenarios & live project modules, not just slides.
Resume building, mock interviews & job referrals.
BISP certificate + full guidance for official exams.
Designed by real-time industry professionals around current job roles.
Download curriculum (PDF)Course Summary: In this course, you will learn Apache Spark framework and its components. Pyspark is an interactive layer of Spark built on python. You can leverage all Spark capabilities through Pyspark. During the training, We demonstrate how to build your data products over spark using Spark streaming, Spark RDDs, Spark SQL, Spark MLIB, Kafka and Flume.We also discuss in depth architecture of Spark and differences between Map Reduce and Spark.
10.1 Introduction to machine learning with Spark
10.2 Preparing data for Machine Learning
10.3 Building a linear regression model
10.4 Evaluating a linear regression model
10.5 visualizing a linear regression model
Who it is for, what you need, and how it is delivered.
IT professionals who wants to switch their career into the world of Big data, Data Science and Data analytics
Basic understanding of Python, Big Data and Hadoop Ecosystem would be good enough.
We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.
Live Interactive classes with expert.
Earn an industry-recognised BISP Trainings certificate when you finish the course.
Reserve your seat for the next live session.
| Session | Date | Time | Reserve |
|---|---|---|---|
| R | 25 Sep 2026 (Fri) | 07:00 | Reserve seat → |
| D | 28 Sep 2026 (Mon) | 07:00 | Reserve seat → |
Everything you need before you enroll.
Yes. You may attend a demo class before enrollment for training quality evaluation, and interact one-to-one with the trainer for any specific requirement.
Yes. We discuss it with the trainer and schedule the training at a convenient time for you.
You get the recorded session. You may also retake the whole training multiple times within a 6-month period with the same trainer.
Yes. The curriculum includes real-time scenarios and live project modules, with the trainer explaining every topic end-to-end.
Enroll securely via the payment gateway on this page using card, UPI or net-banking. EMI options are available.
Call us at +91 769-409-5404 & +1 678-701-4914, or write to support@bisptrainings.com.
Book a free 1-on-1 counselling call and get a personalised learning roadmap.
Call Us: +91 769-409-5404