This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.
This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.
· Explain how data is used for recruiting and performance evaluation
· Model supply and demand for various business scenarios
· Solve business problems with data-driven decision-making
· Understand the tools used to predict customer behaviour
Key Highlights
· Designed for Analytics Aspirants
· 100+ hrs of Learning
· 3+ Case Studies & Projects
· Timely Doubt Resolution
· Dedicated Student Success Mentor
· Live Sessions with Industry Experts
This comprehensive program guarantees exceptional skill advancement which you can implement to encounter a career transition in the digital world.
As we offers both classroom as well as an online program, choose a flexible program that fits you.
The Data analytics program provides dual certification from The University of Texas at Austin, McCombs School of Business, ranked #2 globally for Analytics, and Great Lakes, ranked #1 in India for Analytics.
As we provide weekend training, you don't need to give up your job while you study data analytics. We aid you with transfer cases, leaves and provide an alternative to compensate if you have missed any classes.
· Analytics Consultant
· Business Analyst
· Data Analyst
· Data Science Consultant
· Data Visualization Analyst
· MIS Analyst
· Statistical Analyst
· Data Scientist
Business Analytics Course Learning Experience
If you are someone who is excited about a career transition, choose the 12-month PGP-Business analytics Course at Great Lakes today. This program stands as one of the best choices that equip you to encounter a career transition. This course by Great Learning is wisely composed to provide you with all the knowledge and desired skills required to start up a career in data analytics. This specific course teaches all the techniques and applications to become a qualified candidate for the distinct job roles that data analytics offers such as Business Analyst, Data Analyst, Data Engineers, Database Administrator,
Innovative approach
Our business analytics course offers a flexible classroom learning environment or an entire online learning environment that causes minimalistic interruptions to your work schedule. The online classes are assisted by online webinars, discussions, and assignments are also conducted to improve continuous and cumulative learning.
Corporate collaboration
Our steady corporate partners are thoroughly involved in every step of the course such as curriculum design, facilitating projects, industry lectures, and professional evaluation.
Capstone project
The Capstone project enables you to exercise your learning to real business projects and add it to your portfolio for potential employers to see as a substantial body of work.
Talent pool in the PG Business Analytics course
Regular interaction of the industry experts who practice the tools and techniques helps to gain a practical comprehension of the various modules of analytics.
· Peer group lending analysis & prediction (Regression Methods)
· Sports equipment retail data analysis and visualization
· Peer group lending analysis & prediction (Regression Methods)
· Consumer electronics pricing data analysis & visualization
· Telcom churn prediction (Classification & Machine Learning)
· Predicting credit card spend (Regression Methods)
· Airlines data analysis and reporting
· Marketing & Sales data manipulation and analysis
· Sports event analysis and reporting
