Data Analytics & Business Intelligence
A practical Data Analytics & Business Intelligence course designed for beginners to intermediate learners. Learn how to analyze data, create dashboards, use Excel, SQL, Python, Tableau and Power BI, and turn business data into actionable insights.
Course Overview
Course Modules Module 1: Introduction to Data Analytics Data Analytics Overview Types of Analytics Analytics Lifecycle Key Business Metrics Data-Driven Decision Making Analytics Tools Landscape Module 2: Excel & Google Sheets for Analytics Advanced Formulas PivotTables & PivotCharts Data Cleaning in Excel VLOOKUP & INDEX-MATCH Dashboard Creation Statistical Functions Module 3: SQL for Data Analysis SELECT & Filtering JOINs & Subqueries Aggregate Functions Window Functions CTEs Data Exploration Module 4: Data Visualization with Tableau/Power BI Tableau Fundamentals Power BI Basics Dashboard Design Principles Interactive Charts Storytelling with Data Report Publishing Module 5: Statistical Analysis & Insights Descriptive Statistics Hypothesis Testing Correlation & Regression Trend Analysis Forecasting Basics A/B Testing Module 6: Capstone Project Business Problem Definition Data Collection Analysis & Visualization Insights Generation Recommendations Executive Presentation Capstone Project Analyze a real business dataset and create an interactive dashboard with actionable insights and recommendations.
Learning Outcomes
Perform data analysis using Excel, SQL, and Python.
Build interactive dashboards in Tableau and Power BI.
Apply statistical methods to derive business insights.
Communicate data findings effectively to stakeholders
Support data-driven business decision making.
Prerequisites
Participants should have: Basic computer skills and spreadsheet knowledge Interest in data analysis and business insights Basic mathematics understanding
Enterprise Learning
Tailored learning experiences for enterprises, institutions, and professional cohorts.