IIM Kozikode | Professional Certificate Program in Business Analytics

Attain detailed learning on techniques of Business Analytics

Course Snapshot
  • FeeINR 80,000 + GST
  • Work Experience0 - 30 Years
  • Duration5 Months
  • Delivery MethodOnline
Course Detail

Program Overview

Professional Certificate Program in Business Analytics has been designed for working professionals in the analytics domain to enhance their skills and learn advanced techniques and for the uninitiated to build their career in the business analytics domain. The course builds from the concepts and introduces advanced techniques like predictive analytics. It also covers contemporary topics including machine learning and its application in decision making. Further, the course comprises of application of these techniques and processes in scenarios of various industries like Banking & Finance, Retail, Supply Chain, Healthcare and others.

Program Features

- Certificate of Completion from IIM Kozhikode: On successful completion, you will receive a certificate of completion from IIM Kozhikode.
- Understand the concepts as well as applications of Business Analytics: Understand the critical concepts of business analytics and research and learn it's applications in industry-specific scenarios.
- Learn Predictive analytics and Machine Learning techniques: Find patterns in data with advanced analytic techniques and learn how to improve business performance through fact-based decision-making.
- Hands-on statistical analysis with R/SPSS: Gain hands on practical exposure of popular tools such as R and SPSS and in applying the concepts learnt to real life scenarios.

Who should attend

- Middle Managers: Working professionals aspiring to move to a career in Business Analytics
- Analysts: Business Analysts looking to enhance their knowledge and be hands-on on advanced business analytics techniques
- Freshers and entry-level managers: Freshers and entry level managers who are contemplating entry into the business analytics domain

Talentedge Advantage

- Case study learning
- One on one interactions
- Live & Interactive Digital Learning
- Classroom based learning
- AI & ML Powered Mobile platform enabled
- Dedicated Student support

Desired Candidate Profile

Education

- For Indian Participants - Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
- For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country.
- Proficiency in English, spoken & written is mandatory.

Pre-Requisites

- Knowledge or familiarity with basic statistics, analytics and statistical software will be useful but not mandatory for the course.
- Pre-readings will be circulated and an introductory run on elementary concepts will be introduced in the initial sessions of this course. Participants are expected to go through the pre-reads and come prepared for the classes as instructed.

Course Modules

Module 1 : Business Analytics Foundation

Module 1 comprises of the foundation of business analytics along with familiarity with data analytics tools like R and SPSS. The participants will learn basic courses in finance and marketing with basic quantitative methods. While the course is designed for middle level managers, this module will go a long way in brushing up the fundamentals of analytical techniques in the context of your business. Moreover, the module will include data acquisition from different sources, data storage, data preprocessing, data visualizations, and writing algorithms in the context of business.
- Introduction to business analytics and data analytics tools
- Quantitative Methods
- Financial Management
- Marketing Management and CRM

Module 2 : Business Analytics Techniques

Module 2 comprises of the nervous system of the course which includes predictive analytics and machine learning techniques. These techniques are very useful for middle level managers to find patterns in the data and use them in managerial decision making.
- Predictive Analytics (Regression techniques, Logistic regression, Tree-based methods, Time-series analysis)
- Advanced Analytics (Dimension reduction technique, Clustering technique)
- Machine Learning (Support vector machine, Neural network, Sentiment analytics)

Module 3 : Business Analytics Applications

Module 3 comprises of courses on the applications of various tools and techniques of analytics in business. These include financial analytics, retail analytics, operations analytics (including supply chain), healthcare analytics, web analytics, and others depending on the availability of suitable resources.
- Customer and Retail analytics
- Financial Analytics
- Supply chain Analytics
- Healthcare Analytics