The learning path contains everything offered along with the following 3 courses.
For most students, the path usually takes 32 weeks to finish.
Learn the fundamentals of analytics in a fun way
- 01.Introduction to Analytics
- 02.Introducing the Analytics Methodology with a Case Study
- 03.In Closing & Additional content
Learn R, the most widely used open source analytics tool in the world
- 01.An Overview of Analytics and Data Science
- 02.Business Statistics and Application
- 03.An Introduction to R
- 04.Predictive Models and Machine Learning
- 05.Putting the Jigsaw Together
Choose India’s first globally recognized Big Data certification.
- 01.Overview of Big Data, Hadoop, and Map Reduce
- 02.Data Warehousing using PIG and HIVE
- 03.FLUME, SQOOP, HBASE and Cloudera Distributions
- 04.Introduction to Analytics
- 05.Intergrating R and Hadoop
SAVINGS By choosing this learning path you end up saving $ 350
WHAT YOU GET
32 live sessions of 2 hours each. These interactive classes are conducted by analytics experts in a virtual classroom.
Recordings of Instructor led classes
In case you miss any of the instructor-led classes or the Q&A sessions, you can access recorded videos to catch up with the course plan.
Pre-recorded video lectures
You get to view 50 hours of pre-recorded video lectures & 64 hours of pre-recorded classroom training, as many times as you wish to.
Jigsaw Learning Centre
Gain free access to a variety of supplemental resources like handouts, reference material, guides, lecture transcripts and student forums – for a period of 15 months.
Get your doubts solved by the Jigsaw Faculty via email, phone or chat – for a period of 15 months.
2 hours of sessions every month, conducted by analytics mentors to resolve your questions and doubts.
Access to a cloud-based solution, for hands-on experience with real-life business data using the latest analytical tools – for a period of 15 months.
Avail professional guidance on resume building, interview preparation and identification of relevant opportunities, for the analytics field.
After completing this specialization, you would have acquired advanced skills in Big Data and you would be thoroughly ready for the promising Big Data job market.
You will be be entitled to 3 separate certifications-
— Analytics for Beginners
— Data Science with R
— Wiley-Jigsaw Big Data Specialist
Gunnvant has an MBA from the University of Institute of Applied Management Sciences, Chandigarh. He has over three years of experience in teaching business statistics, finance, and data science. He also has extensive experience in financial data analysis with R.
With a B.Tech. degree from NIT Trichy, Abhirami has over 5 years of experience in the analytics industry. She has worked as a Business Analyst for over 3 years with Genpact and LatentView, and is proficient with tools such as SQL, R & SAS. Abhirami has extensive experience of data analysis and product development in web analytics and marketing analytics.
Pavithrra has an M.Tech. in Information Technology from IIIT Bangalore, and has professional experience of about 5 years. She has worked in the software labs of IBM and HP, as an R&D engineer and a system software engineer respectively. Proficient in programming in many languages, her interest lies in developing algorithms to optimize solutions for problems.
With an M.S. in Computer Science from Syracuse University, Vinod has over 8 years of experience in web application development, system software engineering, software testing and network administration with leading software MNCs. His interests lie in the areas of parallel processing, machine learning algorithms, applied mathematics and analytics.
With a Master’s degree from IIT Madras, Kiran has over 5 years of business analytics experience across multiple sectors – including e-commerce, insurance, technology, financial services, and so on. Kiran is a Big Data analytics trainer, and is proficient with tools and languages like SAS, R, MySQL, Python, Hadoop and Tableau.
WHO SHOULD DO IT
This course is meant for anyone interested in a career in Big Data, IT or database professionals.
Good with Numbers
Anyone with good quantitative abilities seeking to build a career in analytics.
Professionals & MBA students who want to understand business decision making.
Analysts looking to learn the 2 most popular analytics tools: SAS & R.