Course Overview
Data Analysis & Business Intelligence is a complete step-by-step training program designed to take someone with absolutely no prior knowledge of Data Analysis and develop them into a confident, practical, and employable Data Analyst.
This is not just another theory-based course. It is a structured learning experience that combines foundational knowledge, practical exercises, hands-on projects, real-world business scenarios, portfolio development, and job preparation to help learners gain skills they can actually apply.
Throughout this program, students will learn how to work with data from start to finish, collecting it, organizing it, cleaning it, analyzing it, visualizing insights, and communicating business recommendations professionally.
The course follows a carefully designed progression, ensuring students build confidence gradually while mastering industry-relevant tools and methods used by modern organizations.
By the end of this course, students will have completed multiple practical projects and developed a portfolio that demonstrates their analytical capabilities.
What You Will Learn:
Understand Data Analysis and how businesses use data to make decisions
Build a strong foundation in data concepts and analytical thinking
Master Microsoft Excel for data cleaning, reporting, and analysis
Learn practical statistics required for real-world analysis
Use SQL to extract and analyze information from databases
Clean and transform messy datasets professionally
Build interactive dashboards and reports using Power BI
Learn Python for data analysis and automation
Turn raw data into actionable business insights
Develop data storytelling and presentation skills
Complete real-world projects using industry scenarios
Build a professional portfolio to showcase your work
Prepare for interviews and entry-level Data Analyst opportunities
By completing this course successfully, learners will possess both the technical and practical competencies required to begin working on Data Analysis tasks, build professional portfolios, and confidently pursue opportunities in the growing data economy.
Start with zero experience. Build a career in Data Analysis.
This is not just another theory-based course. It is a structured learning experience that combines foundational knowledge, practical exercises, hands-on projects, real-world business scenarios, portfolio development, and job preparation to help learners gain skills they can actually apply.
Throughout this program, students will learn how to work with data from start to finish, collecting it, organizing it, cleaning it, analyzing it, visualizing insights, and communicating business recommendations professionally.
The course follows a carefully designed progression, ensuring students build confidence gradually while mastering industry-relevant tools and methods used by modern organizations.
By the end of this course, students will have completed multiple practical projects and developed a portfolio that demonstrates their analytical capabilities.
What You Will Learn:
Understand Data Analysis and how businesses use data to make decisions
Build a strong foundation in data concepts and analytical thinking
Master Microsoft Excel for data cleaning, reporting, and analysis
Learn practical statistics required for real-world analysis
Use SQL to extract and analyze information from databases
Clean and transform messy datasets professionally
Build interactive dashboards and reports using Power BI
Learn Python for data analysis and automation
Turn raw data into actionable business insights
Develop data storytelling and presentation skills
Complete real-world projects using industry scenarios
Build a professional portfolio to showcase your work
Prepare for interviews and entry-level Data Analyst opportunities
By completing this course successfully, learners will possess both the technical and practical competencies required to begin working on Data Analysis tasks, build professional portfolios, and confidently pursue opportunities in the growing data economy.
Start with zero experience. Build a career in Data Analysis.
Curriculum
MODULE 1: INTRODUCTION TO DATA ANALYSIS
What is Data?
Types of Data
What is Data Analysis?
Roles of a Data Analyst
Data Analysis Workflow
Career Opportunities For Data Analysts
Introduction Project
MODULE 2: DIGITAL & DATA FOUNDATIONS
Computer Essentials
Files & Folder Management
Data Formats (CSV, XLSX, TXT)
Working with Datasets
Data Analysis Tools You Need
Dataset Structure
Data Collection Basics
Practice Project
MODULE 3: MICROSOFT EXCEL FOR DATA ANALYSIS
Excel Fundamentals
Data Manipulation
Excel Formulas
Excel Reporting
Pivot Tables, Charts, Dashboard Creation
Capstone Project
MODULE 4: STATISTICS FOR DATA ANALYSTS
Mean
Median
Mode
Percentages
Distribution
Variance
Standard Deviation
Correlation
Capstone Project
MODULE 5: SQL FOR DATA ANALYSIS
SQL Foundations
Intermediate SQL
Capstone Project
MODULE 6: DATA CLEANING & TRANSFORMATION
Data Cleaning
Data Transformation
Capstone Project
MODULE 7: POWER BI
Introduction to Power BI Interface, Import Data, Data Modeling
Power Query, DAX Fundamentals, Visualization and Dashboard Design on Power BI
Capstone Project
MODULE 8: PYTHON FOR DATA ANALYSIS
Introduction to Python, Setup, Variables and Loops
Functions, NumPy, Pandas, Visualization and Exploratory Analysis
Capstone Project
MODULE 9: BUSINESS ANALYSIS
Business Questions in Business Analysis
KPIs in Business Analysis
Insight Extraction in Business Analysis
Reporting in Business Analysis
Storytelling in Business Analysis
Capstone Project
MODULE 10: CAPSTONE PROJECT
Final End-to-End Data Analysis Project
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About the Instructor
Fekko Instructor
Fekko Instructor represents the collective expertise and curated knowledge of Fekko Learning's elite team of global educators, industry practitioners, and curriculum designers. Our courses are engineered from the ground up to bridge the gap between academic theory and high-demand workplace skills, delivering premium, hands-on learning experiences tailored to help students unlock new career horizons and achieve sustainable professional success.