[su_tab title = “Description”]
Business analytics & R is an ideal package for aspiring data analysts to gain expertise in data analytics. Participants at the end of the training will be technically competent in R programming language concepts such as data visualization, exploration; statistical concepts like linear & logistic regression, cluster analysis and forecasting.
- Work on data exploration, data visualization and predictive modeling techniques with ease.
- Gain fundamental knowledge on Analytics and how it assists in decision making.
- Work with confidence in R language.
- Understand and work on statistical concepts like linear & logistic regression, cluster analysis and forecasting.
- Develop a structured approach to use statistical techniques and R language.
- Perform sharp data analysis to make business decisions.
[su_tab title = “Program Structure”]
- Lesson 0 – Business Analytics Foundation – R tools
- Lesson 01 – Introduction to Analytics
- Lesson 02 – Statistical Concepts and Their Application In Business
- Lesson 03 – Basic Analytic Techniques – Using R
- Lesson 04 – Predictive Modelling Techniques
Online Self Learning: – INR 7,500 (Access Days 30)
Online Self Learning: – INR 9,500(Access Days 180)
Starting From INR: – 19,999
- 30+ hours of training in R Language
- 20 hours of real life industry project experience across 4 domains – Healthcare, Retail, Internet, Insurance
- 9 hours of High Quality e-learning
- 30 chapter-end quiz questions
- Course taught via 5+ real life case studies
- 90 days e-learning access
- 2 months of training in R language
- 4 Data Science Simulation Exams
- Trained by Industry Experts having more than 5 years of experience in R language
- Hands-on experience in predictive modeling on R
- Become a Certified Data Scientist in R language
- Continued Trainer support & guidance for clarifying doubts
- Downloadable e-Books
[su_tab title = “Eligibility”]
Who should do this course?
This course is meant for students and professionals looking to enter the field of data analytics and work as a data scientist or a business analyst professional.
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