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What you get
Faculty & Technical Support
Mobile App Access
Case Studies
UChicago Certification
Guaranteed Internships
IBM Certification
Not Applicable
ApplicableTools & Curriculum Covered
Introduction to Spark
Introduction to Python
Resilient Distributed Dataset (RDD) and Operations
Case Study - Bank Transaction Dataset Analysis in PySpark
Case Study - Find the Blockbuster Movie in the Given Dataset in PySpark
Spark SQL and DataFrames
Case Study - Find Average Output in the Given Logfiles Generated
Case Study - New York Stock Exchange Data Analysis in PySpark
Spark Streaming
Case Study - PySpark Streaming Analysis using Apache Kafka
Introduction to Machine Learning
SparkMLlib - Machine Learning Library
Case Study - Network Intrusion Detection with the Classification Model
Case Study - Retail Store Recommendation System using PySpark MLLib
Case Study - Power System Anomaly Detection in PySpark MLLib
Case Study - Wikipedia Data Analysis to Produce Ten Most Relevant Terms in Data
Case Study - Correlation Study of Stocks using US Stock Market Data in PySpark MLLib
Set up and Getting Started
Introduction to Spark
Internals of Spark
Case Study - Bank Transaction Dataset Analysis in Apache Spark
Quiz
Spark Architecture
Case Study - Find the Blockbuster Movie in the Given Dataset in Spark
Case Study - Find Average Output in the Given Logfiles Generated
Case Study - New York Stock Exchange Data Analysis in Apache Spark
Quiz
Spark Components
Case Study - Analyse an Academic Dataset using Yelp in Spark
Case Study - Spark Streaming Stock Market Dataset Analysis using DStream
Case Study - Spark Streaming Analysis using Apache Kafka
SparkR
Spark MLLib
Case Study - Network Intrusion Detection with the Classification Model
Case Study - Retail Store Recommendation System using Spark MLLib
Case Study - Power System Anomaly Detection in Spark MLLib
Case Study - Wikipedia Data Analysis to Produce Ten Most Relevant Terms in Data
Case Study - Correlation Study of Stocks using US Stock Market Data in PySpark MLLib
Faqs
You can start by browsing through our Explore Analytics section. You could also visit our Analytics Training blog for more reading material, reports and in-depth articles on other topics like data science, machine learning, artificial intelligence, Big Data and IOT. If you’d prefer watching videos, head over to our Youtube channel.
For any of the Big Data courses, past exposure to SQL and any programming language or programming concepts is desired. Prior knowledge of Linux is also helpful, but not mandatory. For advanced Big Data courses, exposure to SQL and programming preferably in Python is important. Familiarity with Hadoop specifically Hive would also be helpful. If you have specific questions regarding eligibility or prerequisites for any program, please contact us at +91 9019217000.
Participants can pay through an online transfer, debit card or credit card (Visa, Master Card and Amex). Foreign students can pay via credit card or PayPal.
Jigsaw Academy has been at the forefront of analytics in India for the last 8 years. In that time, the institute has been ranked #1 in the country by Analytics India Magazine multiple times, including for the last two years running. With our expert faculty and carefully designed courses, we have been able to help several students build towards a career in analytics. We also have ongoing collaborations with prestigious institutes such as the University of Chicago and Bocconi University in Milan. In addition to individuals, we are also invested in providing high-quality analytics training at the corporate level.
