Data Analytics
Become a World Class Data Analyst.
Turn raw data into million-dollar insights, analyze, visualize, and tell stories with data.
Beginner Friendly
No prior experience required.
Job Pacement Support
Launch your career with internships and job placements.
Flexible Learning
Choose to learn at a pace that fits your schedule.
World-Class Tutors & Mentorship
Learn directly from industry experts.
Certificate
Earn a recognised certificate.
Course Overview
The Data Analytics course is designed to help students master the art of turning data into actionable insights that drive smarter business decisions. Through a combination of theory, tools, and hands-on projects, you’ll learn how to collect, clean, analyze, and visualize data effectively — using the same tools and techniques trusted by leading organizations.
This beginner-friendly program requires no prior experience and prepares you for high-demand roles in data analytics, business intelligence, and strategy.
Learning Outcome
- Understand the key principles of data analytics and how data informs decision-making.
- Use tools like Excel, SQL, Power BI, and Python to analyze, clean, and visualize datasets.
- Communicate findings effectively through data storytelling and dashboards.
- Apply real-world analytics techniques to solve business and organizational problems.
Career Opportunities
- United States – $80,000 – $115,000 USD
- United Kingdom – £45,000 – £70,000 GBP
- Canada – $65,000 – $90,000 CAD
- Germany – €50,000 – €75,000 EUR
- Nigeria – ₦4.8 million – ₦8 million NGN
- Kenya – KSh 2 million – KSh 3.5 million KES
- Remote/Global Roles – $60,000 – $100,000 USD
Career Pathways
- Data Analyst
- Business Intelligence Analyst
- Data Visualization Specialist
- Operations Data Analyst
- Junior Data Scientist
| Year | Average Global Salary (USD) |
|---|---|
| 2015 | $68,000 |
| 2016 | $72,000 |
| 2017 | $77,000 |
| 2018 | $82,000 |
| 2019 | $88,000 |
| 2020 | $95,000 |
| 2021 | $101,000 |
| 2022 | $108,000 |
| 2023 | $115,000 |
| 2024 | $121,000 |
What You Will Learn
Go from Idea to Impact, become a Data Analyst in 3-6 Months
Module 1 - Introduction to Data Analysis
- What is data analysis and why it matters
- Process of data analysis
- Data analyst roles, skills, and career paths
- Exercise: Identify how data is used in a business you admire
Module 2 - Understanding the Data Landscape
- Data sources: databases, files, APIs, and online platforms
- Understanding structured vs unstructured data
- The data analysis workflow: collect → clean → analyze → visualize → report
- Exercise: Research a dataset relevant to your field of interest
Module 3 - Core Analytical Skills & Foundations
- Technical Skills: Excel formulas, SQL syntax, Power BI interface
- Analytical Thinking: asking the right questions, data interpretation
- Soft Skills: communication, storytelling with data, attention to detail
Module 4 - Mastering Excel for Data Analysis
- Data cleaning, formatting, and transformation
- Advanced formulas (VLOOKUP, INDEX-MATCH, IF, SUMIFS, etc.)
- Pivot tables and charts
- Exercise: Analyze sales data and generate insights
Module 5 - SQL for Data Querying & Insights
- Understanding databases and relationships
- Basic SQL syntax (SELECT, WHERE, ORDER BY, GROUP BY)
- Joins, subqueries, and aggregation functions
- Exercise: Write SQL queries to extract insights from a sample database
Module 6 - Power BI for Visualization & Dashboards
- Introduction to Power BI interface
- Connecting and transforming data with Power Query
- Building data models and relationships
- Creating interactive dashboards and reports
- Exercise: Build a Power BI dashboard for a sample business
Module 7 - Practical Data Projects
- End-to-end data analysis using Excel, SQL, and Power BI
- Real-world project simulation
- Assignment: Present your final project dashboard
Module 8 - Analyzing Data with AI
- Introduction to AI tools for analysts (ChatGPT, Copilot, etc.)
- Using AI for data cleaning, summarization, and reporting
- Integrating AI into Power BI and Excel workflows
- Exercise: Use AI to automate part of your analysis process
Module 9 - Building Your Portfolio & Resume
- Structuring your data analysis portfolio
- Resume templates for data roles
- Exercise: Upload one finished project to your portfolio
Module 10 - Career Readiness & Next Steps
- Preparing for job applications and interviews
- Freelance, remote, and full-time data roles
- Bonus: Staying relevant with continuous learning
Flexible and Affordable Payment
Frequently Asked Questions
I don’t have a tech background.
70% of our graduates started with zero tech experiences. Our beginner-friendly approach starts with basics and builds progressively
I can’t afford it
Up to 50-100% scholarship coverage available. You only pay registration and certification fees upfront.
I don't have time
Flexible learning schedules including evenings and weekends. Complete the program while maintaining your current job.
Will I actually get a job?
Guaranteed internship placement + access to exclusive job board with 500+ partner companies actively hiring our graduates
