A Course You'll Actually Finish
DATA ANALYTICS
A comprehensive, hands-on data analytics course that teaches students how to collect, clean, analyse, visualise, and interpret data using industry-standard tools including Microsoft Excel, SQL, Python, and Power BI — with AI-assisted analysis integrated throughout.
About this Course
Beginner to Pro
72 Chapters
Hands-on Exercises
3 months intensive training
1-2 months project work
5 months of free workspace
Certificate Included
Say goodbye to scattered tutorials and endless distractions. This course offers a clear, structured learning path that seamlessly combines theory with hands-on practice.
About the Course
What You'll Learn
What You'll Build
Curriculum
Target Audience
Prerequisites
Reviews
Perfect fit
About the Course
Highly Practical
What You'll Learn
- Understand the data analytics process — from data collection and cleaning to analysis, visualisation, and storytelling
- Master Microsoft Excel for data analysis — formulas, pivot tables, charts, and advanced data functions
- Write SQL queries to extract, filter, join, and aggregate data from relational databases
- Use Python with Pandas and NumPy to manipulate, clean, and analyse large datasets programmatically
- Create professional interactive dashboards and reports using Microsoft Power BI
- Apply data visualisation best practices to communicate insights clearly and persuasively
- Perform descriptive, diagnostic, predictive, and prescriptive analysis on real business datasets
- Clean and transform messy, real-world data into analysis-ready formats using multiple tools
- Use AI tools to accelerate data interpretation, generate analysis code, and summarise data findings
- Design and present a complete data analytics project with actionable business recommendations
Learn by Doing
What You'll Build
As the capstone project for this course, each student will complete a comprehensive End-to-End Data Analytics Project on a real-world dataset of their choice — drawn from a Nigerian or African business sector such as retail, finance, healthcare, agriculture, or logistics. The project will demonstrate the full analytics workflow and will include: a clearly defined business problem and set of analytical questions, a data collection and cleaning report documenting all transformations applied to the raw dataset, an exploratory data analysis (EDA) report with statistical summaries and Python-generated visualisations, a fully interactive Power BI dashboard presenting key metrics, trends, and segment breakdowns, an SQL query file containing all database queries used in the analysis, and a final insights and recommendations report written in plain language for a non-technical business audience. Students will present their projects to the class in a structured data review session, explaining their methodology, findings, and business recommendations as a professional data analyst would in a real workplace or client presentation.
A Well-Structured Course
Course Content
12 Modules, 72 Chapters
Target Student
Who Is This For?
- Aspiring data analysts looking to launch a career in one of the highest-paying fields in Nigeria's tech industry
- Business owners and managers who want to make smarter, data-driven decisions using their business data
- Finance, accounting, and operations professionals who want to upgrade from basic spreadsheets to professional analytics tools
- Marketing professionals seeking to measure campaign performance and customer behaviour with data
- Recent graduates from any discipline who want to add a highly employable technical skill to their profile
- Government and NGO professionals working with programme data, surveys, and operational reports
- Developers and tech professionals who want to add data analysis to their existing technical skill set
- Anyone preparing to advance into data science, machine learning, or AI and needing a strong analytics foundation
A Complete Beginner-Friendly Course
Prerequisites
Success Stories
What Our Students Are Saying
Don't just take our word for it—listen to the stories of students who have enhanced their skills and transformed their careers through this course.
Kick-start Your Tech Career Now
Stop spending time on lengthy, disorganized courses and scattered tutorials. With this course, you'll receive concise, targeted lessons that deliver practical skills efficiently. Enroll now and get started immediately!
DATA ANALYTICS
- 3 months intensive training
- Everything you need to know
- Instructor-led sessions
- Morning class session
- Afternoon class session
- Physical and virtual classes
- Practical, hands-on exercises
- 5 months of free workspace
- 1 - 2 months project work
- Certificate of graduation
Frequently Asked Questions
Bitnox Tech Training is a professional training arm of Bitnox Technology Solutions Ltd., offering career-focused programs in tech and digital skills. We provide both online and physical (instructor-led) training tailored for students, working professionals, and beginners.
To ensure quality and readiness, we review every application to confirm if the student meets the course requirements. This allows us to better support your learning journey.
Yes, if you pay via bank transfer, you'll be required to upload the receipt for verification.