The Data Science with SAS Certification course has been developed to impart an in-depth knowledge of data science techniques and their application using SAS to solve business problems. It builds a strong conceptual foundation and provides hands-on training on SAS tools (Base SAS and SAS Studio) and SAS programming to learn and apply predictive modeling, forecasting, classification and association techniques.
As part of the program you will work on real-life industry-based projects across multiple domains like social media, retail, entertainment and e-commerce using our Learning Management System. You will work on multiple assignments, case studies and practice exercises to hone your skills.
At the end of the course you will be able to solve analytics problems using R and build real world industry solutions
Course duration: 156 hours
Mode: Classroom / Online Instructor Led
- 56 hours of instructor led live training on weekends
- Hand-on practice on 10 real life case studies
- Access to LEAP - our analytics learning platform
- Personal attention from faculty
- Performance evaluation
- Placement assistance
- 100 hours of self learning
- Practice exercises and assignments to enhance skills
- Faculties from IIT/IIMs with rich industry experience
- Full access to video lectures for self paced learning
- 100% moneyback guarantee
- Internship opportunity to work on dashboarding & insight generation projects
Is this course for you?
You should take this course if you are a:
- Student (UG/PG) and want to build data science skills to become data scientist
- IT professional looking for a career switch to data science and analytics
- Job seeker who wants to start a career in data science
- Analtyics/Data Science professional who wants to learn advanced modeling techniques
- Enthusiast who has genuine interest in data science and wants to grow his skills
What are the pre-requisites of the course?
There are no pre-requisites for this course. The course starts from scratch which makes it easy to understand for everyone and provides in-depth knowledge