Master Data Analysis with Python
A progressive, expert-led suite of data analysis programmes – from Foundation Diploma to Advanced Professional Diploma. 100% online, hands-on projects, and real-world business applications. Master Python basics, NumPy, Pandas, data visualization, SQL, statistics, and automation for data-driven decision-making.
Designed for Data Analysis Excellence with Python
Practical, project-based, and globally relevant – build a portfolio of data analysis projects while you learn from industry experts.
Master Python for Data
Learn Python from scratch and progressively develop advanced data analysis skills using powerful libraries.
Work with Real Datasets
Analyse data from finance, healthcare, sales, marketing, HR, and other business domains.
Three Progressive Levels
Advance from Foundation to Professional and Advanced Professional Diploma, building your expertise step by step.
Learn by Doing
Complete practical exercises, real-world case studies, and end-to-end projects throughout the programme.
Data Visualization Mastery
Create professional charts, graphs, and dashboards using Matplotlib and Seaborn.
Automate Analysis Workflows
Write Python scripts to automate data cleaning, analysis, reporting, and scheduling tasks.
Statistical Analysis
Apply descriptive and inferential statistics, hypothesis testing, and regression analysis to real data.
SQL Integration
Connect Python to databases, execute SQL queries, and extract data for analysis.
Career-Focused Skills
Develop skills relevant to Data Analyst, Business Analyst, Data Scientist, Financial Analyst, and more.
Industry-Recognised Certification
Earn a verified diploma upon successful completion – blockchain-secured, globally recognised.
Foundation Diploma in Data Analysis Using Python
Build a strong foundation in Python programming for data analysis. Master Python setup, variables, data types, control flow, functions, lists, dictionaries, NumPy arrays, and Pandas DataFrames. Perfect for beginners with no prior programming experience.
Python Setup, Jupyter, Variables, Data Types
Get started with Python by setting up your environment, learning syntax, variables, data types, and writing your first programs.
- Unit 1: Installing Python and Jupyter Notebook
- Unit 2: Python Syntax and Code Structure
- Unit 3: Variables and Data Types
- Unit 4: Input and Output Operations
- Unit 5: Operators and Expressions
- Unit 6: Writing Your First Python Programs
Control Flow, Functions, Lists, Dictionaries
Master conditional statements, loops, functions, lists, and dictionaries to write efficient Python code.
- Unit 1: Conditional Statements (If, Else, Elif)
- Unit 2: Loops (For and While)
- Unit 3: Functions and Parameters
- Unit 4: Lists and List Operations
- Unit 5: Dictionaries and Dictionary Methods
- Unit 6: Practical Python Programming Exercises
NumPy Basics, Arrays, Operations
Learn NumPy for numerical computing – create and manipulate arrays, perform mathematical operations, and apply statistical functions.
- Unit 1: Introduction to NumPy
- Unit 2: Creating and Managing Arrays
- Unit 3: Array Indexing and Slicing
- Unit 4: Mathematical Operations on Arrays
- Unit 5: Statistical Functions in NumPy
- Unit 6: Practical Numerical Computing Exercises
Pandas Intro: DataFrames, Reading CSV, Basic Ops
Introduce Pandas for data manipulation. Learn Series, DataFrames, importing CSV files, data selection, filtering, and basic manipulation.
- Unit 1: Introduction to Pandas
- Unit 2: Series and DataFrames
- Unit 3: Importing Data from CSV Files
- Unit 4: Data Selection and Filtering
- Unit 5: Basic Data Manipulation
- Unit 6: Exploring Real-World Datasets
Upon completion, earn a verified Foundation Diploma in Data Analysis Using Python – blockchain‑secured, globally recognised.
Professional Diploma in Data Analysis Using Python
Take your Python data analysis skills to the next level. Master data cleaning, merging, grouping, data visualization with Matplotlib and Seaborn, exploratory data analysis, and deliver a complete EDA project on a real dataset.
Pandas: Cleaning, Merging, Group By
Advanced Pandas techniques for data preparation – clean messy data, merge datasets, group data, and transform for analysis.
- Unit 1: Data Cleaning with Pandas
- Unit 2: Handling Missing Values
- Unit 3: Merging and Joining Datasets
- Unit 4: GroupBy Operations and Aggregation
- Unit 5: Data Transformation Techniques
- Unit 6: Preparing Data for Analysis
Data Visualization: Matplotlib, Seaborn
Create compelling visualizations using Matplotlib and Seaborn – line charts, bar charts, pie charts, statistical plots, and customised graphs for business data.
- Unit 1: Introduction to Matplotlib
- Unit 2: Creating Line, Bar, and Pie Charts
- Unit 3: Introduction to Seaborn
- Unit 4: Statistical Data Visualization
- Unit 5: Customizing Charts and Graphs
- Unit 6: Visualizing Business Data
Exploratory Data Analysis Workflow
Learn the complete EDA workflow – descriptive statistics, pattern identification, outlier detection, correlation analysis, and reporting techniques.
- Unit 1: Exploratory Data Analysis Fundamentals
- Unit 2: Descriptive Statistics
- Unit 3: Identifying Patterns and Trends
- Unit 4: Detecting Outliers and Anomalies
- Unit 5: Correlation Analysis
- Unit 6: EDA Reporting Techniques
Project: EDA on Real Dataset
Apply your EDA skills to a real dataset – plan, clean, analyse, visualize, and present business insights and recommendations.
- Unit 1: Project Planning and Dataset Selection
- Unit 2: Data Cleaning and Preparation
- Unit 3: Exploratory Data Analysis
- Unit 4: Data Visualization and Interpretation
- Unit 5: Business Insights and Recommendations
- Unit 6: Final EDA Project Presentation
Upon completion, earn a verified Professional Diploma in Data Analysis Using Python – blockchain‑secured, globally recognised.
Advanced Professional Diploma in Data Analysis Using Python
Reach expert-level proficiency in Python data analysis. Master SQL integration, statistical analysis with SciPy, automation scripting, and deliver an end-to-end data analysis capstone project.
SQL with Python, Database Connection
Connect Python to databases, execute SQL queries, extract data into Pandas DataFrames, and build database-driven analysis projects.
- Unit 1: Introduction to SQL with Python
- Unit 2: Connecting Python to Databases
- Unit 3: Executing SQL Queries
- Unit 4: Reading Database Tables into Pandas
- Unit 5: Data Extraction and Reporting
- Unit 6: Database Analysis Project
Stats with Python: SciPy, Hypothesis Testing
Apply statistical methods using SciPy – descriptive statistics, probability distributions, hypothesis testing, correlation, and regression analysis.
- Unit 1: Introduction to SciPy
- Unit 2: Descriptive and Inferential Statistics
- Unit 3: Probability Distributions
- Unit 4: Hypothesis Testing
- Unit 5: Correlation and Regression Analysis
- Unit 6: Statistical Analysis with Python
Automating Reports, Scripting
Write Python scripts to automate data analysis workflows, generate reports, schedule tasks, and improve productivity.
- Unit 1: Python Scripting Fundamentals
- Unit 2: File Handling and Automation
- Unit 3: Automating Data Analysis Workflows
- Unit 4: Generating Automated Reports
- Unit 5: Scheduling Python Scripts
- Unit 6: Practical Automation Project
Data Analysis Project End-to-End
Integrate all your Python data analysis skills to deliver a complete end-to-end project – from problem definition to final presentation.
- Unit 1: Business Problem Definition
- Unit 2: Data Collection and Preparation
- Unit 3: Data Analysis and Visualization
- Unit 4: Statistical Interpretation
- Unit 5: Report Writing and Presentation
- Unit 6: Final End-to-End Data Analysis Capstone Project
Upon completion, earn a verified Advanced Professional Diploma in Data Analysis Using Python – blockchain‑secured, globally recognised.
Roles You Can Pursue with Python Data Analysis Skills
Develop practical, job-ready Python skills that are highly sought after across technology, finance, healthcare, e-commerce, government, and research sectors.
What Python Data Analysis Graduates Say
"The Foundation Diploma gave me the confidence to write Python scripts for data cleaning. I now use Pandas daily in my role as a junior analyst."
— Chidi O., Nigeria
"The Professional Diploma transformed my data visualization skills. The Seaborn and Matplotlib modules were outstanding and immediately applicable."
— Grace M., Kenya
"The Advanced Professional Diploma prepared me for senior analyst roles. SQL integration and automation have saved me hours of manual work."
— Dr. Ahmed K., South Africa
Affordable Tuition for Local & International Students
All inclusive: tuition + application fee. Flexible interest‑free instalments available.
Application fee ₦8,220 is included in the total above.
Application fee ₦8,220 is included in the total above.
Unlock the Power of Python for Data Analysis
Choose your level – Foundation, Professional, or Advanced Professional Diploma. Build real-world projects, earn verifiable credentials, and advance your career in data science and analytics.
Questions About Our Python Data Analysis Programmes?
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