Data analytics is becoming increasingly popular amongst organisations to help make crucial decisions across various business functions.
If you are looking to get into data analytics, this course provides you with the foundation you need, from theory to practice. It is suitable for complete beginners and serves as the starting point to begin playing with data. By the end of this programme, you will be able to evaluate the best analytical approach for solving your business problem/s, and gain an understanding of the best ways to leverage data for better outcomes.
This programme is developed for professionals who aspire to manage an organisation and make important business decisions backed by data. In specific, the course will be most beneficial to:
Duration: 4 weeks, 4–6 hours per week
Fees: €1,320 for Non-BSBI student | Free for BSBI students on academic degree programmes
During the programme, students will have the opportunity to study a range of areas within data analytics, gaining confidence in this specific subject, learning from practical teaching from our academic faculty.
Introduction to Data Analytics:
This module elaborates on the meaning and scope of business analytics, and the ways concepts of data analytics can be applied to finance, marketing and human resource operations. This will help you to identify and describe business problems in terms of analytical statements.
Visualizing the Data Using Dashboards:
Data analysis is productive if communicated appropriately for end-users. This module deals with graphical representation of data by using charts, graphs, maps, data visualisation tools, etc. Using these tools, the reporting and dashboards can be prepared to reflect trends, patterns and outliers.
Predictions Using Data:
This module presents basic data analysis and visualisation in Excel. You will learn an introduction to the basic functions in Excel such as filtering and sorting data, conditional formatting, building basic charts and graphs, pivot tables, what-if analysis, lookup, conditional and other commonly used functions. By the end of the module you will be able to fully comprehend these skills and employ them in your own decision-making.
Making Prediction Using Linear and Logistic Regression Model:
This module empowers you with the skillset required to identify which model should be applied for predicting. This includes the needs assessment, identifying variables and applying the right tools such as linear or logistic regression. The module provides an in depth understanding of these concepts and applications.
Segmentation Using Cluster Analysis:
This module elaborates on cluster analysis. K-means clustering and hierarchal clustering. One example is segmentation of customers using cluster analysis which is helpful in identifying homogenous groups of buyers. Understanding the project cycle and effectively communicating analysis insights is key to a successful organisation.
Prof. Anuj Batta has more than five years of experience in academia and corporate training. He has almost two decades of experience in corporate industry in leadership and consulting roles in research, business management, marketing, strategy, business analytics and data science across multiple industry domains and geographies. He has helped multiple universities and b-schools set up profitable and meaningful degree and certificate programmes in business analytics and the data science domain. His corporate experience has been with companies including Adobe, Sapient, and HCL Technologies
where he headed the data science practices. Additionally, he has delivered multiple MDPs in companies such as Accenture, Jet Privilege, RBL bank and many more. He has double post-graduation and an IIM-Calcutta alumnus. He is currently pursuing a PhD in data science from IIT Delhi.