Masters in Business Analytics
- Offered byTechstack
Masters in Business Analytics at Techstack Overview
Duration | 6 months |
Total fee | ₹60,000 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Masters in Business Analytics at Techstack Highlights
- Earn a certificate of completion from Techstack
- Get 100% Job placement assistance
- Live projects of master business analytics course from the partner agency
- Gain expertise on widely tools and languages like Anaconda, R studio, jupyter, Spyder, tableau
- Career assistance: resume building, mock interviews, 1:1 mentorship and career fair
- Fee can be paid in instalments
Masters in Business Analytics at Techstack Course details
Master Business analytics course is a wide course that involves a combination of business intelligence, data analytics, and computer programming which moves forward with an aim to dig out patterns that are proven helpful for the seekers to develop relevant strategies
With the right methodology selection and building of the model, you can analyze data with metrics
The course can be used in various areas such as offering innovative solutions to government sectors, big corporations, entrepreneurs, finance, and more
Masters in Business Analytics at Techstack Curriculum
Introduction to Data & Analytics
What is analytics?
Different kinds of analytics?
Data dictionary
Data types and data handling
Dashboard designing in excel
Introduction to dashboard
Trends and scenario using charts
Basics of macro recording
Advanced charting techniques
Designing sample dashboard
Basics of statistics
Overview to statistics
Data types and their measures
Random varieties
Application with exercise
Probability applications with examples
Introduction to Data Science
What is analytics and data science?
Why is analytics become so trending now?
Application of analytics in business
Analytics vs data warehousing
Business statistics and applications
Overview to business statistics
Sample vs population probability theory
Types of distribution
Probability distribution concepts
Fundamentals of Python/R
Installation of R/Python & R studio
Getting started with Python/R
History of Python/R, features of python/R
Variable operators in Python/R
Data importing/exporting in Python & R
Introduction to data importing and exporting
Concepts and packages
Introduction to Python and R
Data structure and data types