Become a Professional Data Analyst
Learn practical data analysis using Microsoft Excel, Power BI, and SQL at Nepthink Solutions. This training will help you clean data, analyze business information, create dashboards, write database queries, and present insights for smart decision-making.
Excel + Power BI + SQL
Turn raw data into clean dashboards, reports, and business insights.
3 Months
Practical classes, data tasks, dashboard projects, SQL practice, and mentorship.
₦150,000
Includes practical sessions, project guidance, learning support, and certificate.
Data Analysis Training using Excel, Power BI and SQL
This course is designed for learners who want to understand data, create reports, analyze business performance, build dashboards, and use data tools for career or workplace growth.
Career Switchers
Perfect for people who want to enter tech through a practical data skill without starting from programming-heavy courses.
Aspiring Data Analysts
Designed for beginners who want to learn how to clean, analyze, visualize, and explain data professionally.
Business Professionals
Useful for staff, managers, entrepreneurs, and administrators who need better reporting and decision-making skills.
Remote Work Seekers
Great for learners who want digital skills that can support freelancing, remote jobs, and global data opportunities.
Problem Solvers
For people who enjoy finding patterns, solving business questions, and using numbers to tell clear stories.
Students & Graduates
Suitable for students and graduates who want a strong workplace skill for internships, jobs, projects, and career growth.
What You Can Become After This Training
Data analysis skills can open doors in business intelligence, reporting, operations, finance, sales analysis, database reporting, and decision-support roles.
Data Analysis Course Modules
The course is arranged in practical modules covering Excel, Power BI, and SQL so learners can move from raw data to professional dashboards, reports, and insights.
Module 01 Introduction to Data Analysis
This module introduces learners to data analysis, why organizations use data, and how analysts turn raw information into useful insights.
- Meaning and importance of data analysis
- Data analyst roles and responsibilities
- Types of data and data sources
- Business questions and data-driven decisions
- Understanding reports, dashboards, and insights
- Data analysis career paths and tools overview
Module 02 Microsoft Excel Fundamentals
Learners will build a strong Excel foundation for working with spreadsheets, tables, and basic data tasks.
- Excel interface and workbook structure
- Rows, columns, cells, worksheets, and tables
- Data entry and formatting
- Sorting and filtering data
- Basic formulas and calculations
- Working with clean spreadsheet layouts
Module 03 Excel Formulas and Functions
This module teaches learners how to use formulas and functions to perform calculations and answer business questions.
- SUM, AVERAGE, COUNT, MIN, and MAX
- IF statements and logical formulas
- VLOOKUP, XLOOKUP, and lookup concepts
- Text functions and date functions
- Conditional formatting
- Formula troubleshooting and best practices
Module 04 Data Cleaning with Excel
Learners will understand how to prepare messy data for analysis using practical cleaning techniques.
- Identifying missing, duplicate, and inconsistent data
- Removing duplicates and fixing errors
- Text-to-columns and data splitting
- Cleaning dates, numbers, and text values
- Using filters for data quality checks
- Preparing datasets for analysis and dashboards
Module 05 Pivot Tables and Excel Reporting
This module helps learners summarize large datasets and build clear Excel reports.
- Creating pivot tables
- Grouping and summarizing data
- Using slicers and filters
- Creating pivot charts
- Building Excel summary reports
- Interpreting report findings
Module 06 Excel Dashboard Design
Learners will create clean and professional Excel dashboards for business reporting.
- Dashboard planning and layout
- Choosing the right chart types
- Building KPI cards and summary sections
- Interactive dashboards using slicers
- Designing readable business reports
- Presenting insights from Excel dashboards
Module 07 SQL Fundamentals
This module introduces learners to databases and SQL for retrieving and analyzing structured data.
- What databases are used for
- Tables, rows, columns, and records
- Primary keys and relationships
- Basic SELECT statements
- Filtering data with WHERE
- Sorting and limiting query results
Module 08 SQL Queries for Data Analysis
Learners will write SQL queries to extract, summarize, and analyze data from databases.
- Aggregate functions such as COUNT, SUM, AVG, MIN, and MAX
- GROUP BY and HAVING clauses
- Joining tables for deeper analysis
- Using aliases and calculated columns
- Filtering business records
- Answering business questions with SQL
Module 09 SQL Reporting and Database Insights
This module focuses on using SQL for reporting, trend analysis, and practical business insights.
- Creating SQL-based summary reports
- Analyzing sales, customer, and operations data
- Finding trends and patterns in database records
- Cleaning and preparing SQL query outputs
- Exporting data for Excel and Power BI
- Writing readable and organized SQL queries
Module 10 Introduction to Power BI
Learners will understand how Power BI is used to connect data, build reports, and create interactive dashboards.
- Power BI interface overview
- Importing data into Power BI
- Power BI Desktop basics
- Understanding tables, fields, and visuals
- Creating basic charts and reports
- Power BI workflow from data to dashboard
Module 11 Power Query and Data Transformation
This module teaches learners how to clean and transform data inside Power BI before creating reports.
- Using Power Query Editor
- Removing duplicates and fixing errors
- Changing data types
- Merging and appending datasets
- Creating clean data tables
- Preparing data for dashboards
Module 12 Power BI Dashboards and DAX Basics
Learners will build professional dashboards and understand basic DAX calculations for business reporting.
- Creating KPI cards and report pages
- Bar charts, line charts, pie charts, maps, and tables
- Using slicers and filters
- Basic DAX measures
- Dashboard design principles
- Presenting insights with Power BI reports
Module 13 Portfolio Project and Capstone Dashboard
At the end of the course, learners will complete practical projects that can be added to their data analysis portfolio.
- Excel dashboard project
- SQL business analysis project
- Power BI dashboard project
- Data cleaning and reporting project
- Project presentation and review
- Portfolio and career guidance
Start your data analysis journey today.
Learn Excel, Power BI, and SQL through practical projects and develop the confidence to turn data into useful business insights.