Data Analysis Mentorship Program
Data Analysis Course
Join the leading Data Analysis training in Lagos, Nigeria at NiveDigital TechSchool. Learn Excel, SQL, Power BI, and Python with real-world projects. Build job-ready skills to launch or advance your career as a Data Analyst in just 12 weeks.
Why Choose NiveDigital Tech School for Data Analysis Training
Our Data Analysis course in Lagos is designed to help you master Excel, SQL, Power BI, and Python. With hands-on projects, expert instructors, and career-focused modules, we prepare you for the most in-demand roles in today’s data-driven world.
Practical Learning
Work on real-world datasets and projects that sharpen your analytical and problem-solving skills.
Enroll NowProven Results
Our students transition into data analyst roles across industries in Nigeria and abroad.
Hear From AlumniIntensive Curriculum
Master Excel, SQL, Power BI, and Python in just 8 weeks of intensive, structured learning.
View Course OutlineWhy Learn Data Analysis Today
High Demand
Data analysts are among the most in-demand professionals globally, with roles across finance, tech, health, and marketing.
Great Pay
Companies invest heavily in analytics talent, making data analysis one of the highest-paying career paths today.
Future-Proof Skill
With businesses relying on insights, data analysis ensures career growth in the age of AI and big data.
NiveDigital Tech School’s Data Analysis Course Syllabus
A complete breakdown of NiveDigital Tech School’s Data Analysis course syllabus. This updated program is designed by industry experts to match today’s tech demands and help students become professional data analysts.
Introduction to Data Analysis
Get introduced to data analysis fundamentals, including what data analysis is, the types of data, basic Excel overview, understanding datasets, setting up your work environment, and exploring potential career paths in data analytics.
Excel for Data Analysis
Learn to efficiently use Excel for data organization, cleaning, summarizing, and visualization. Master pivot tables, formulas, charts, conditional formatting, filtering, and sorting to prepare data for deeper analysis and decision-making.
SQL for Data Analysis
Discover SQL essentials for querying and manipulating databases. Understand SELECT statements, WHERE clauses, JOINs, GROUP BY, aggregation, and subqueries, enabling you to extract, filter, and analyze data from relational databases effectively..
Data Cleaning & Transformation
Focus on cleaning and transforming data for analysis. Learn how to handle missing values, remove duplicates, normalize datasets, adjust data types, and apply practical exercises to ensure data is accurate and ready for analysis.
Power BI Basics
Introduction to Power BI for creating interactive dashboards. Learn importing datasets, basic data modeling, relationships, visualizations, and publishing reports to share insights effectively with stakeholders in a professional environment.
Advanced Power BI
Dive deeper into Power BI with advanced dashboards, DAX functions, custom visuals, data blending, and interactive reporting. Gain hands-on experience to design compelling visual insights for real-world business scenarios and projects.
Python for Data Analysis (Intro)
Start coding with Python for data analysis. Learn Python basics, Jupyter Notebook, Pandas, NumPy, creating DataFrames, and writing simple scripts to manipulate, clean, and explore data efficiently for analysis purposes..
Data Visualization with Python
Learn to visualize data using Python libraries like Matplotlib and Seaborn. Create histograms, scatter plots, correlation heatmaps, and charts that tell meaningful stories to communicate insights clearly to stakeholders.
Statistics for Data Analysis
Understand essential statistics for data analysis, including descriptive statistics, probability, hypothesis testing, correlation, and regression. Apply statistical methods to datasets and interpret results to inform business decisions effectively.
Advanced Analytics
Learn advanced analytics techniques including predictive modeling, clustering, classification, and model evaluation. Apply analytics to solve real business problems and gain actionable insights from datasets for strategic decision-making.
Projects & Case Studies
Work on real-world datasets through projects and case studies. Practice exploratory data analysis, cleaning workflows, visualization dashboards, generating insights, recommendations, and peer review to consolidate your practical data analysis skills.
Capstone & Certification
Complete a capstone project to demonstrate your data analysis skills. Build a professional portfolio, write reports, present findings, develop career-ready skills, and prepare for certification exams to launch your data analysis career.
MODES OF TRAINING
Professional Data Analysis Training (Physical)
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Lock in your seat with our flexible payment plan — no financial pressure.
- Pay 60% before training begins
- Pay 40% halfway through the course
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Why Learn Data Analysis With Us
Who is This For?
Ready to Start Your Data Analysis Journey?
Schedule a 15-min consultation with us to get your questions answered and discover how our Data Analysis program can help you master Excel, SQL, Power BI, and Python to build a successful career.