Excel

Excel, developed by Microsoft, is a versatile spreadsheet tool used to organize, analyze, and visualize data. With its wide range of functions, including formulas, tables, and charts, it plays a vital role in effective data management for businesses.

Introduction to Excel

Fundamentals of Excel

Data Exploration with In-Build Function

Basic Visualisation Analytics

Charts and Graphs

Advance Excel

Advanced Excel extends beyond fundamental features, allowing for detailed data analysis through advanced formulas, pivot tables, macros, and automation tools. It equips professionals with the ability to manage and analyze data accurately and efficiently.

Functions

Look Up

Vlookup, Index, Hlookup

Date Functions and Time

Data Tables and Validation

Pivot Table

Financial Functions

Micros & Coding

Custom Formatting and Advance Filters

Story telling & dashboard creation

Storytelling and dashboard creation are essential skills in Data and Business Analytics that enable professionals to transform data into clear, impactful narratives. By integrating key information into visually engaging dashboards, analysts can effectively communicate insights, support informed decision-making, and deliver presentations that drive business impact.

Data Storytelling & Stakeholder Engagement

Dashboard Design & Visual Communication

Creating Advance Dashboard

Develop a solid grounding in data and business analytics by learning SQL for effective data handling and exploring key principles of probability and statistics. Gain the ability to turn raw data into meaningful business insights using Power BI through interactive dashboards and impactful visualizations. This module equips you with the critical skills and tools needed to analyze, interpret, and communicate data effectively to support informed business decisions.

Master both the fundamental and advanced aspects of SQL (Structured Query Language), an essential skill for professionals in data and business analytics. This module emphasizes efficient querying, filtering, and manipulation of large datasets within relational databases to uncover actionable business insights. Participants will also learn to optimize query performance, manage complex data structures, and seamlessly incorporate SQL into analytics workflows relevant to real-world business challenges.

Introduction to SQL

Introduction to Databases and Query Fundamentals

Data Extraction Using SQL

Setting Up and Utilizing BigQuery for Large-Scale Analytics

Functions, Filtering, and Subqueries

Joins and Nested Queries for Complex Data Relationships

Aggregation and Grouping Techniques

Date and Time Functions for Business Analytics

Indexing and Partitioning Strategies to Enhance Query Performance

Mathematics forms the core of Data and Business Analytics, offering the essential groundwork for data analysis and strategic decision-making. Key areas like statistics, probability, and algebra enable professionals to interpret trends, test hypotheses, and model business scenarios, turning raw data into actionable insights that drive effective strategies and solutions.

Probability

Bayes’ Theorem

Probability Distributions

Descriptive Statistics and Outlier Detection

Hypothesis Testing and A/B Testing

Analysis of Variance (ANOVA)

Correlation and Regression Analysis

Basics of Linear Algebra and Matrix Operations

Power BI is an advanced business intelligence platform from Microsoft that facilitates data ingestion, transformation, and modeling across multiple heterogeneous sources. It enables the creation of interactive dashboards and dynamic visualizations powered by DAX (Data Analysis Expressions) and Power Query, supporting real-time analytics and enabling analysts to perform complex data exploration, trend analysis, and performance monitoring to drive data-driven business strategies.

Overview of Power BI and User Interface Navigation

Data Connection, Cleaning, and Transformation Using Power Query

Building and Optimizing Data Models for Analytics

Developing Clear and Insightful Visualizations and Charts

Introduction to Data Analysis Expressions (DAX) for Advanced Calculations

Designing Interactive, User-Friendly Dashboards

Creating Comprehensive Business Reports

Applying Power BI to Real-World Business Scenarios and Case Studies

Tableau is a leading data visualization tool that empowers analysts to convert complex data into interactive and easy-to-understand visual stories. It connects effortlessly with various data sources, enabling users to create insightful dashboards, graphs, and charts for better decision-making.Its user-friendly interface supports advanced analytics through features like filters, calculations, and parameters, empowering users to perform deep data exploration, identify trends, and deliver actionable insights that drive informed business decisions across industries.

Introduction to Tableau

Connecting to Data Sources

Data Preparation and Transformation

Advanced Visualizations

Calculations and Analytics

Building Dashboards and Stories

Sharing and Collaboration

Case Studies and Projects

Generative AI is a transformative branch of artificial intelligence that goes beyond traditional data analysis to create new content by learning from existing datasets. Rather than simply interpreting data, generative AI can produce realistic text, images, and other outputs, powered by advanced models like GANs and transformers. In the context of data and business analytics, generative AI enhances capabilities such as automated report generation, synthetic data creation, and advanced predictive modeling—unlocking innovative solutions and improving efficiency across industries.

Introduction to Generative AI

Foundations of Deep Learning

Generative Models Overview

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Transformers and Language Models

Synthetic Data Generation

Applications of Generative AI

Ethical Considerations and Challenges

Capstone Project