The instructor-led, interactive classes are conducted by analytics experts in a virtual classroom. The instructor-led course comprises 16 instructor-led sessions of 2 hours each.
The video based course is self-paced. There are no live classes.
All instructor-led classes are also recorded, and participants get access to recordings to review the material or to make up for any missed Q&A sessions.
Pre-recorded video lectures can be viewed at any time and as many times as the participant wants. You will have access to 21 hours of pre-recorded video lectures & 32 hours of pre-recorded classroom training.
Access to a variety of supplemental resources including handouts, reference material, guides, lecture transcripts and student forums for a period of 6 months.
Offline access to all video lectures (and lecture transcripts wherever available).
Access to the Jigsaw faculty via email, phone or chat for a period of 6 months.
Instructor-led sessions conducted by analytics mentors to resolve questions and doubts. The instructor-led course includes 2 hours of Q&A every month.
Access to the Jigsaw Lab, a unique cloud-based solution, for hands-on experience on large business data sets using analytics tools for a period of 6 months.
Access to career assistance services includes resume building, interview preparation and identification of relevant opportunities.
The duration of the instructor led course is 16 weeks. You will have 6 months to complete the course. The video based course is self-paced and will have to be completed in 6 months.
You will work on multiple case studies as part of the course. The case studies will involve hands-on work with huge datasets.
Yes, we provide placement assistance to our students as well. Learn about Jigsaw's placement support here.
We like to keep our students happy, so we have a 7-day no questions asked refund policy.
A step-wise and easy to learn training methodology for mastering the R platform, a platform which is inherently not known to be very user friendly.
Great course to advance in analytics. It makes learning modelling techniques using R easy and fun. A perfect blend of theory and practical working on real-world problems. Amazing faculty support.