This specialization will prepare you for the role of a business analyst in finance
Get comprehensive, hands-on training on analytics using SAS, the most popular analytics language
- 01.An overview of Analytics and Data Science
- 02.Business Statistics and Application
- 03.SAS language for data modeling
- 04.Predictive Models and Machine Learning
- 05.Putting the Jigsaw Together
Learn how to outsmart financial fraudsters.
- 01.Fraud Analytics
Learn Factor Analysis, Principle Component Analysis and Discriminant Analysis.
- 01.Factor Analysis
- 02.Principal Component Analysis
- 03.Discriminant Analysis
Learn how to perform complex analytics with the world's most popular analytics tool - Microsoft Excel.
- 01.Excel Basics
- 02.Excel Advanced
- 03.Analytics Techniques with Excel
Go beyond number-crunching, learn number-decoding
- 01.Introduction to Banking & Financial Services
- 02.Credit Bureaus
- 03.Marketing Analytics in Financial Services
- 04.Credit Risk Analytics in Financial Services
- 05.Fraud Risk Analytics in Financial Services
- 06.Intro to Basel III
SAVINGS By choosing this learning path you end up saving $ 1,155
WHAT YOU GET
21 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 34 hours of pre-recorded video lectures & 42 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 12 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 built expertise in complex analytical techniques and domain knowledge in finance.
These students landed the job that they dreamt about, thanks to Jigsaw
Neha is a Senior Faculty at Jigsaw, holds a Masters in Econometrics and Financial Economics and Bachelors in Economics and Applied Statistics from University of Mumbai. With 9 years of professional analytics experience under her belt, 6 of which were in Retail Analytics at Genpact LLC, she has a thorough understanding of Statistical Predictive Modelling techniques and their application including Marketing Mix, Store Group Analysis and Pricing and Promotion studies. She is well equipped in SAS, R, Applied Statistics, Applied Econometrics, Regression, Clustering, Decision Tree, SAS Macros, SQL and has over 500+ hours of teaching to her credit.
With over 22 years of rich experience in both academic and corporate sectors, Augusteen joined us as a senior faculty. After starting his career as a statistics lecturer, he has worked in the retail and pharmaceutical verticals at MNCs like Dunnhumby, Genpact, Symphony Marketing Solutions, PharmArc, and OgilvyOne. Augusteen is proficient in handling any type of data across multiple domains, and his expertise lies in automating complex problems and guiding analytical teams.
An analytics expert with a special interest in the integration of analytics & business intelligence with business strategy, Subhashini has over a decade of diverse experience in the banking and financial services industry with leading names like GE Money, Standard Chartered, Tata Motors and Citibank.
WHO SHOULD DO IT
Although any one interested in being a specialist in Data Science can go through the learning path, we recommend the path to following profiles.
Any analytics professional looking to build a specialization in financial analytics.
MBA and Engineering Graduates
Graduates looking for a career in financial analytics.
Analysts looking to understand different aspects in the industry.