Our Business Analytics program equips learners with the skills to transform business data into meaningful insights and informed decisions. The program covers data analysis, statistical concepts, visualization, business intelligence, and practical analytical techniques using industry-relevant tools and approaches.
Designed with a practical and career-oriented focus, the program helps students develop analytical thinking, problem-solving abilities, and the confidence to apply data-driven strategies to real-world business scenarios.
Topics of Course
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Business Analytics concepts, applications and industry relevance
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Role of Business Analytics in organizational decision-making
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Understanding business requirements and objectives
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Converting business problems into analytical questions
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KPIs, metrics and performance indicators
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Types of business data
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Types of business data
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Structured and unstructured data
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Data sources, databases and business datasets
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Data quality and preprocessing
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Handling missing values, duplicates and inconsistencies
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Data transformation and preparation for analysis
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Data analysis using Excel
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Advanced formulas, lookup functions and logical functions
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Pivot tables, charts and business reports
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Descriptive statistics
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Measures of central tendency and dispersion
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Correlation, distribution and statistical interpretation
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Identifying patterns, trends and relationships
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Outlier and anomaly analysis
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Generating meaningful business insights
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Database and relational database concepts
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Data querying and filtering
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Aggregations, grouping and analytical queries
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Joins and subqueries
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Conditional queries
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Business-oriented data extraction and analysis
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Business Intelligence concepts
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Power BI environment and data connectivity
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Importing and transforming business data
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Data modeling and relationships
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Measures and calculated columns
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Introduction to DAX for business analysis
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Visualization principles
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Interactive charts, KPIs, filters and slicers
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Designing professional business dashboards
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Sales and revenue analytics
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Customer and marketing analytics
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Financial and operational analytics
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KPI and performance analysis
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Trend analysis and forecasting
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Customer segmentation
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Introduction to predictive analytics
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Data-driven business decision-making
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Real-world business case study
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End-to-end data analysis
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Dashboard and insight generation
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Business recommendations and project presentation
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Resume, LinkedIn and interview preparation
