About Course

Master Data Analysis and develop the in-demand skills to collect, clean, analyze, visualize, and interpret data for informed business decision-making using industry-leading tools such as Microsoft Excel, SQL, Power BI, Python, Tableau, and Artificial Intelligence (AI). This comprehensive programme equips learners with practical expertise in data analytics, business intelligence, dashboard development, statistical analysis, data visualization, predictive analytics, and reporting, preparing them for high-growth careers in finance, healthcare, technology, manufacturing, oil & gas, telecommunications, and business consulting. Through hands-on projects and real-world business case studies, learners will transform raw data into actionable insights that drive innovation, operational efficiency, and strategic business growth.

Understand data analytics fundamentals and the data lifecycle
Manage and clean data in Microsoft Excel: functions, pivot tables, pivot charts
Query and join data using SQL
Clean and transform data with Power Query
Build dashboards using Power BI and Tableau
Apply descriptive and inferential statistics, hypothesis testing
Use Python (Pandas, NumPy) for data manipulation and EDA
Develop KPIs, business reports, and forecasts
Build an interactive dashboard capstone project

Course Content

Module 1: Introduction to Data Analysis
• Fundamentals of Data Analysis • Data Analytics Lifecycle • Business Intelligence Concepts • Data-Driven Decision Making

Module 2: Microsoft Excel for Data Analysis
• Data Entry & Management • Excel Functions & Formulas • Data Cleaning • Pivot Tables & Pivot Charts

Module 3: SQL for Data Analysis
• Database Fundamentals • SQL Queries • Data Filtering & Aggregation • Joins and Subqueries

Module 4: Data Cleaning & Preparation
• Data Quality Assessment • Missing Data Handling • Data Transformation • Power Query

Module 5: Data Visualization & Dashboard Development
• Microsoft Power BI • Tableau Fundamentals • Interactive Dashboards • Data Storytelling

Module 6: Statistical Data Analysis
• Descriptive Statistics • Inferential Statistics • Hypothesis Testing • Trend Analysis

Module 7: Python for Data Analysis
• Pandas • NumPy • Data Manipulation • Exploratory Data Analysis (EDA)

Module 8: Business Intelligence & Predictive Analytics
• KPI Development • Business Reporting • Forecasting • AI-Assisted Data Analytics

Module 9: Capstone Project
Analyze a real-world business dataset and develop an interactive dashboard with actionable insights, performance metrics, and strategic recommendations using Excel, SQL, Power BI, and Python.

Student Ratings & Reviews

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Data Analysis: From Scratch to Advanced

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Data Analysis
• Fundamentals of Data Analysis • Data Analytics Lifecycle • Business Intelligence Concepts • Data-Driven Decision Making

Module 2: Microsoft Excel for Data Analysis
• Data Entry & Management • Excel Functions & Formulas • Data Cleaning • Pivot Tables & Pivot Charts

Module 3: SQL for Data Analysis
• Database Fundamentals • SQL Queries • Data Filtering & Aggregation • Joins and Subqueries

Module 4: Data Cleaning & Preparation
• Data Quality Assessment • Missing Data Handling • Data Transformation • Power Query

Module 5: Data Visualization & Dashboard Development
• Microsoft Power BI • Tableau Fundamentals • Interactive Dashboards • Data Storytelling

Module 6: Statistical Data Analysis
• Descriptive Statistics • Inferential Statistics • Hypothesis Testing • Trend Analysis

Module 7: Python for Data Analysis
• Pandas • NumPy • Data Manipulation • Exploratory Data Analysis (EDA)

Module 8: Business Intelligence & Predictive Analytics
• KPI Development • Business Reporting • Forecasting • AI-Assisted Data Analytics

Module 9: Capstone Project
Analyze a real-world business dataset and develop an interactive dashboard with actionable insights, performance metrics, and strategic recommendations using Excel, SQL, Power BI, and Python.

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Data Analysis • Fundamentals of Data Analysis • Data Analytics Lifecycle • Business Intelligence Concepts • Data-Driven Decision Making

Module 2: Microsoft Excel for Data Analysis • Data Entry & Management • Excel Functions & Formulas • Data Cleaning • Pivot Tables & Pivot Charts

Module 3: SQL for Data Analysis • Database Fundamentals • SQL Queries • Data Filtering & Aggregation • Joins and Subqueries

Module 4: Data Cleaning & Preparation • Data Quality Assessment • Missing Data Handling • Data Transformation • Power Query

Module 5: Data Visualization & Dashboard Development • Microsoft Power BI • Tableau Fundamentals • Interactive Dashboards • Data Storytelling

Module 6: Statistical Data Analysis • Descriptive Statistics • Inferential Statistics • Hypothesis Testing • Trend Analysis

Module 7: Python for Data Analysis • Pandas • NumPy • Data Manipulation • Exploratory Data Analysis (EDA)

Module 8: Business Intelligence & Predictive Analytics • KPI Development • Business Reporting • Forecasting • AI-Assisted Data Analytics

Module 9: Capstone Project Analyze a real-world business dataset and develop an interactive dashboard with actionable insights, performance metrics, and strategic recommendations using Excel, SQL, Power BI, and Python.

Student Ratings & Reviews

Module 1: Introduction to Data Analysis
• Fundamentals of Data Analysis • Data Analytics Lifecycle • Business Intelligence Concepts • Data-Driven Decision Making

Module 2: Microsoft Excel for Data Analysis
• Data Entry & Management • Excel Functions & Formulas • Data Cleaning • Pivot Tables & Pivot Charts

Module 3: SQL for Data Analysis
• Database Fundamentals • SQL Queries • Data Filtering & Aggregation • Joins and Subqueries

Module 4: Data Cleaning & Preparation
• Data Quality Assessment • Missing Data Handling • Data Transformation • Power Query

Module 5: Data Visualization & Dashboard Development
• Microsoft Power BI • Tableau Fundamentals • Interactive Dashboards • Data Storytelling

Module 6: Statistical Data Analysis
• Descriptive Statistics • Inferential Statistics • Hypothesis Testing • Trend Analysis

Module 7: Python for Data Analysis
• Pandas • NumPy • Data Manipulation • Exploratory Data Analysis (EDA)

Module 8: Business Intelligence & Predictive Analytics
• KPI Development • Business Reporting • Forecasting • AI-Assisted Data Analytics

Module 9: Capstone Project
Analyze a real-world business dataset and develop an interactive dashboard with actionable insights, performance metrics, and strategic recommendations using Excel, SQL, Power BI, and Python.