Offer ends in:
What you'll get
- 13+ Hours
- 6 Courses
- Mock Tests
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Use Python and Spark together to analyze Big Data
- Learn how to use the new Spark DataFrame Syntax
- Work on Consulting Projects that mimic real world situations
- Classify Customer Churn with Logisitic Regression
- Use Spark with Random Forests for Classification
- Learn how to use Spark's Gradient Boosted Trees
- Use Spark to create Powerful Machine Learning Models
Content
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MODULE 1: Essentials Training
Courses No. of Hours Certificates Details PySpark Python - Beginners 2h 16m ✔ PySpark Python - Intermediate 2h 02m ✔ PySpark Python - Advanced 1h 18m ✔ Apache Spark - Advanced 5h 49m ✔ Project on Apache Spark: Building an ETL Framework 2h 1m ✔ -
MODULE 2: Additional Readings
Courses No. of Hours Certificates Details Apache Spark - Beginners 1h 4m ✔ -
MODULE 3: Mock Exams & Quizzes
Courses No. of Hours Certificates Details Test - PySpark Developer Mini Test 1 Test - PySpark Developer Mini Test 2 Test - PySpark Developer Mock Test
Description
About Spark and Python for Big Data with PySpark
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 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 syntax. 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.
We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30 day money back guarantee and comes with a LinkedIn Certificate of Completion!
If you're ready to jump into the world of Python, Spark, and Big Data, this is the course for you!
Requirements
- Programming Knowledge Using Python Programming Language
- A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM
Target Audience
- 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
- Someone who knows Python and would like to learn how to use it for Big Data
- Someone who is very familiar with another programming language and needs to learn Spark
Course Ratings
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Good way to start learning the very basics of SPARK architecture and programming.People who don't have programming should first attend the SCALA tutorial before this tutorial. The diagrammatic explanation was very clearly explained for easier understanding of how the processes get implemented in SPARK .
Sukhasis Basu Roy