Analytics for Strategic Choices [Batch -3]

“Errors using inadequate data are much less than those using no data at all.” – said Charles Babbage. He was right then, and he is right even more now. It is now widely recognized that data analytics plays a crucial role in corporate decision-making. Considering the volume of data generated every second, it has become almost a necessity for businesses to make data-driven decisions. Nevertheless, care must be taken. As Mark Twain cautions: “Data is like garbage. You’d better know what you are going to do with it before you collect it.” So, what tells one what to do? Answer: functional domain concepts. Any insightful data analytical model must consider and combine underlying domain concepts while formulating and executing the analysis. Surprisingly, in practice, analysts often overlook domain concepts when constructing their models. This program aims to fill this gap. Aided by different functional domain knowledge’s, it introduces participants to a number of data analytics techniques that yield actionable business insights.

The program combines domain concepts with data analysis tools to produce actionable business decisions. Participants will gain hands-on experience analyzing data from various industries and/or countries.

Programme Objective This program aims to train participants to construct domain concepts driven models of data analyses. During this time, participants will learn data analytics tools useful for making effective business strategies, such as demand modelling, pricing, cause-and-effect analysis, benchmarking and strategic excellence analysis, and economic forecasting. To accomplish this, the program will adopt a hands-on, step-by-step instructional approach to several techniques, including probability, statistical testing, regression analysis, mixed effect modelling, stochastic frontier analysis, analysis of incomplete data, and analysis of longitudinal data. Anyone with basic mathematical and/or statistical skills and interested in data analytics may find this program useful. Coding experience is beneficial, but not required.

This program aims to train participants to construct domain concepts driven models of data analyses. During this time, participants will learn data analytics tools useful for making effective business strategies, such as demand modelling, pricing, cause-and-effect analysis, benchmarking and strategic excellence analysis, and economic forecasting. To accomplish this, the program will adopt a hands-on, step-by-step instructional approach to several techniques, including probability, statistical testing, regression analysis, mixed effect modelling, stochastic frontier analysis, analysis of incomplete data, and analysis of longitudinal data. Anyone with basic mathematical and/or statistical skills and interested in data analytics may find this program useful. Coding experience is beneficial, but not required.

The program may include lectures, hands-on data analysis sessions, and case discussions.

Who should attend? The following professionals may find it particularly useful:

Gaining skills of using and combining domain knowledges with data when building data analytics models.

As a participant of this Short Duration Programme, you will be able to enjoy some exclusive benefits other than the outcomes such as skills and knowledge enhancement and building specific competencies that can help shape your career growth.

Some of the exclusive benefits of attending this programme are listed below –