OVERVIEW
Turn business data into decisions.
The programme develops applied analytical skills across Excel, data management, dashboards, data storytelling, statistics, Python, predictive analytics and AI-assisted analysis. Learners progress from working with data to presenting evidence-based recommendations to management.
Instructor-Led
60 Hours
Self-Paced
40 Hours
Career Accelerator
9 Hours
MODULES
A career-focused learning experience beyond academics
Module 1: Business Data Analysis & Excel
- Data cleaning and preparation
- Excel for analysis
- Pivot tables and business metrics
- Analytical problem-solving
Applied output: Analyse a business dataset and produce an insight summary.
Module 2: Power BI, Dashboards & Data Storytelling
- Visualisation principles
- Dashboard design
- KPIs and management reporting
- Communicating insight through data
Applied output: Build a management dashboard.
Module 3: Statistics, Regression & Python
- Statistics for business decisions
- Regression fundamentals
- Python for data analysis
- Interpreting analytical outputs
Applied output: Complete a Python/statistical analysis exercise.
Module 4: AI & Predictive Business Analytics
- Forecasting and predictive concepts
- Machine learning fundamentals
- Generative AI for analytical workflows
- Using AI to interpret and communicate findings
Applied output: Create an AI-assisted predictive analysis.
Module 5: Business Analytics Capstone
- Frame a business question
- Analyse and visualise data
- Develop recommendations
- Present findings to a management audience
Applied output: Portfolio-ready dashboard, analysis and management recommendation.
Structured Self-Paced Learning: 40 Hours
Approximately 8 hours of guided self-paced learning accompanies each module. Activities may include digital learning content, tool practice, guided exercises, case studies, quizzes/knowledge checks, assignments, applied reading and progressive development of the final project.
Career Relevance
what to expect
Possible Learning & Career Outcomes
Learning Outcomes
By the end of the programme, learners will be able to:
- Business Data Analysis: Collect, organise, clean and analyse business data to identify meaningful trends and patterns.
- Excel-Based Analytics: Apply spreadsheet-based analytical techniques to solve common business problems.
- Data Visualisation & Dashboards: Present business information through effective visualisations, KPIs and management dashboards.
- Data Storytelling: Translate analytical findings into clear business insights and recommendations for decision-makers.
- Statistics & Regression: Apply foundational statistical and regression techniques to analyse relationships and support business decisions.
- Python for Analytics: Develop foundational Python skills for data manipulation and analytical tasks.
- AI & Predictive Analytics: Understand how AI and machine learning can support forecasting, prediction and business analysis.
- Applied Analytics Experience: Analyse a business dataset, build a dashboard and present evidence-based recommendations.
Career Outcomes
The programme develops practical analytical skills relevant to roles including:
- Junior Business Analyst: Analyse business data and processes to support organisational decision-making.
- Data Analyst: Prepare, analyse and interpret datasets to identify actionable insights.
- Business Intelligence Associate: Support dashboards, reporting and performance analysis.
- Reporting / MIS Analyst: Develop reports, KPIs and management information to monitor business performance.
- Marketing / Operations Analyst: Apply analytical techniques to customer, marketing or operational business problems.
fees (EXclusive of gst)
₹1,00,000 + 18% GST
Admissions
How to apply?
Indian students applying for programmes at LSBF India are required to complete the prescribed admission formalities in accordance with the programme requirements. Prospective applicants may submit an enquiry through our official application channels or connect directly with our admissions team for personalised guidance on programme selection, eligibility criteria, documentation, and next steps.
Our dedicated team is committed to supporting you at every stage of your journey, from application submission to final enrolment- ensuring a smooth and seamless admissions experience.
Online Application
Complete the online application form and upload the required documents.
Application Evaluation
The admissions team evaluates your eligibility and application profile.
Offer of Enrolment
Eligible applicants receive an official admission offer from the programme team.
Fee Payment & Confirmation
Complete the fee payment to confirm your enrolment and secure your seat
