Data Analysis
The Data Analysis course is a comprehensive 2-month training program designed to equip students with practical skills in collecting, cleaning, analyzing, and interpreting data using modern tools such as Microsoft Excel, Python, Pandas, and Power BI. The course focuses on transforming raw data into meaningful insights that support decision making in business, education, healthcare, finance, and other industries. Throughout the program, students will learn the complete data analysis process, starting from basic data handling in Excel to advanced data manipulation and visualization using Python libraries.
Career Relevance
The Data Analysis course prepares students for high-demand roles such as Data Analyst, Business Intelligence Analyst, and Reporting Analyst across industries including finance, healthcare, education, and ICT. With the rise of digital transformation and data-driven decision-making, these skills offer strong career stability, remote opportunities, and pathways to advanced roles like Data Scientist and Analytics Manager.
Schedule
Pricing
Curriculum Highlights
- Month 1: Foundations of Data Analysis
- Week 1: Introduction to Data Analysis & Excel Topics What is Data Analysis Importance of Data in Business Types of Data Data Analysis Process Introduction to Microsoft Excel Excel Interface Rows and Columns Worksheets Data Entry Excel Basics Formatting Sorting Filtering Basic Formulas SUM AVERAGE COUNT MIN MAX Practical Student Score Sheet Sales Record Assignment Create: Student Result Sheet Business Sales Sheet
- Week 2: Advanced Excel for Data Analysis Topics Conditional Formatting Charts Pivot Tables Pivot Charts Data Cleaning in Excel IF Function VLOOKUP HLOOKUP Data Validation Practical Sales Dashboard School Result Analysis Assignment Build: Sales Dashboard Student Performance Analysis
- Week 3: Introduction to Python for Data Analysis Topics Python Introduction Installing Python Jupyter Notebook Variables Data Types Lists Dictionaries Loops Functions Practical Simple Python Programs Data Processing Assignment Create: Student Score Program Sales Calculator
- Week 4: Python Libraries for Data Analysis Topics NumPy Pandas DataFrames Series Reading CSV Files Data Cleaning Handling Missing Values Filtering Data Practical Load Dataset Clean Dataset Assignment Analyze: Student Dataset Sales Dataset
- Month 2: Data Analysis & Visualization
- Week 5: Data Manipulation with Pandas Topics Data Selection Data Filtering GroupBy Aggregation Merging Data Sorting Data Practical Sales Analysis Student Performance Analysis Assignment Build: Sales Report
- Week 6: Data Visualization Topics Introduction to Visualization Matplotlib Seaborn Line Chart Bar Chart Pie Chart Histogram Scatter Plot Practical Sales Visualization Business Reports Assignment Create: Data Visualization Dashboard
- Week 7: Power BI / Reporting Topics Introduction to Power BI Import Data Dashboard Charts Reports Data Insights Business Intelligence Practical Business Dashboard School Dashboard Assignment Create: Power BI Dashboard
- Week 8: Final Project Topics Real-world Data Analysis Report Writing Presentation Data Insights Project Deployment Final Project Options Students will choose one: School Data Analysis Business Sales Analysis Hospital Data Analysis Student Performance Analysis E-commerce Data Analysis Population Data Analysis
Learning Outcomes
- At the end of 2 months students will be able to:
- Use Excel for data analysis Write Python programs
- Use Pandas and NumPy Clean and process data Visualize data
- Create dashboards Generate reports Analyze real-world datasets
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Your Program Instructor
Abdullahi Bichi Shuaibu
Senior Data Scientist and Developer
As a Senior Data Scientist and Computer Scientist, I operate at the high-impact intersection of rigorous statistical analysis and scalable full-stack ...