Programme Objectives:

Upon completing the IIM Udaipur Advanced Certificate Programme in Business and Data Analytics, participants will achieve the following program objectives:

1. Master Analytical Tools: Acquire proficiency in utilizing advanced mathematical and statistical techniques, programming languages like Python, R and Tableau, and optimization methods to extract insights from complex data sets.
2. Informed Decision-Making: Develop the ability to make informed business decisions by interpreting and analyzing data through regression analysis, time series decomposition, outlier detection, and hypothesis testing.
3. Effective Data Visualization: Learn to create impactful data visualizations using tools like Power BI and Tableau, enabling effective communication of complex information to both technical and non-technical stakeholders.
4. Strategic Business Insight: Cultivate a deep understanding of business analytics’ life cycle, honing the skills needed to handle real-world business challenges in areas such as finance, HR, sales, and operations.
5. Data Management Expertise: Gain proficiency in designing and managing relational databases, applying normalization techniques, and utilizing SQL for data manipulation and querying.
6. Holistic Problem-Solving: Develop a holistic perspective on operations management, applying decision science principles to optimize processes, manage inventory, and enhance supply chain strategies.

Programme USP:

• Global industry aligned curriculum mapped with Business Analytics programmes from across the world
• Practical application oriented, integrates multiple business use cases, case studies and projects

Programme Contents:

Participants will be mapped to a few of the following courses:

• Applied Mathematics and Statistics: Vector and matrix algebra, decomposition, linear algebra, gradient descent and optimization techniques, computations and vector spaces, probability theory and descriptive statistics, probability models and sampling techniques, estimations, testing of hypothesis, regression analysis, percentiles, box plots, and outlier analysis, time series decomposition
• Programming for Business Analytics: Recap of Language Fundamentals, Algorithmic Thinking, Variables and Operators in Python/ R, Data Visualization, Getting Data: APIs, Web scraping, File Handling Operations in Python/ R, Data Analysis, Python/ R Toolbox, Applications of Python/ R, Python and R Advanced Techniques, Python and R Libraries for Data Visualization, Optimization Techniques in Python/ R
• Fundamentals of Business and Data Analytics: Introduction to Business Analytics, Practical Techniques in Business Analytics, Life cycle of Business Analytics, Data Management, Case Study – Financial Analytics, Case Study – HR Analytics, Case Study – Sales Analytics, Agile for Business Analytics, Task Planning and Coordination, Requirement Basics, Requirement Elicitation, Analysis, Project Review, Game Theory for Business Analytics
• Business Data Management: Database Concepts and Architecture, Normalization Techniques in Database, Data Modelling, Introduction to Relational Databases, Structured Query Language, Structured Query language (part II), Structured Query Language (advanced), Business Intelligence Systems, Data Models, Database Design Considerations, Data Pipeline: Stages
• Data Visualization And Business Intelligence: Methodology and Experience, Data Storytelling and Visualization, Introduction to Power BI, Working with Charts in Power BI, DAX calculations in Power BI, Building Dashboard with Power BI, Introduction to Tableau, Charts, Time Series and Aggregation, Building Dashboard with Tableau
• Machine Learning: This comprehensive course covers machine learning techniques from basic to advanced levels. Key modules include supervised and unsupervised learning, regression models, decision trees, and neural networks. Practical applications and case studies using real industry data are emphasized to solve business problems and understand the latest technologies in AI. Students will engage in hands-on projects to build, evaluate, and deploy machine learning models.
• Marketing Strategy & Analytics: This course combines data analysis with marketing strategy. Students learn statistical methods for analyzing marketing data, AI and automation in marketing, and practical applications using tools like Google Analytics and Python. Hands-on projects include customer segmentation, predictive modeling, and integrating AI into marketing strategies to enhance digital marketing efforts.

Duration & Number of Session Hours:

This 12 Credit Programme Comprises:

Duration: 3 Months, 180 Hours of Live Interaction.

Number of Sessions (75 – 120 Minutes each): 108 sessions across 3 months

Frequency: 9-12 sessions (i.e., 15-18 hours) a week

*Students are expected to do self-study, research, work on labs, projects, assignments, assessment and other activities as per the requirements of each individual course.

**The programme duration may be slightly extended due to unavoidable situations.

Pedagogy:         

• The pedagogy will be a judicious mix of lectures, case discussions, project work, term papers, quizzes and assignments etc.

Assessment:

Performance of participants will be monitored on a continuous evaluation basis through attendance, quizzes, projects, assignments, tests and examinations. The participant is required to score minimum marks/grades as decided by the Institute from time to time to complete the course.

IIM Udaipur and Futurense Technologies Pvt Ltd. shall be responsible for the evaluation of the respective topics taught by them.

*Participants will be given the exact assessment plan and details after joining the programme.

Eligibility Criteria:

• Diploma (10+2+3)/Graduate/Postgraduate from Universities recognized by the Association of Indian Universities
• At least 50% marks in either Diploma or graduation or post-graduation (or its equivalent)
• Clearing the Pre-Screen Assessment and selection in the US university

How the Courses will be Delivered:

Courses will be delivered through on-line mode using an appropriate technology Synchronized platform. Lectures will be delivered through broadband based technology involving two-way audio and video communication. Sessions will be held throughout the week, along with classes mostly on weekends. Participants can attend sessions directly from their desktop/laptop (Direct-2-device). Participants will be provided reading materials etc. for each course.  They may also interact with the concerned faculty through e-mails/ chat mode.

Programme Activity Timelines:

Credit Transfer of Admission to US University: The programme may allow certain participants (enrolled for the Futurense US Pathway programme) to get admission in the US university courses after completion. The Credit transfer, admission process, selection criteria, and final selection to the US universities are not under the control/discretion of IIM Udaipur. IIM Udaipur does not promise/guarantee any credit transfer to any US-based university or admission to any of its programmes.

The participants have to independently ensure such modalities with Futurense Technologies Pvt Ltd  or other third parties. IIM Udaipur will only deliver the course agreed and the certificate will be awarded after completion of the norms mentioned above for the “Advanced Certificate Programme in Business and Data Analytics”.

Please note that IIM Udaipur reserves the right to change the programme design, format, number of sessions, certificate format, and terms in the programme or can incorporate any such change deemed necessary by the institute without prior intimation.

Learn More – https://futurense.com/us-pathway