₦165,000
+10% VAT
Flexible 3-installment payment available
Paul Adeyemi
Data Analyst / Data ScientistData & Intelligence
Learn Data Analysis and Become a Professional Data Analyst
Learn practical Data Analysis with VOKS Institute through a structured programme designed for beginners, graduates, students, working professionals, entrepreneurs and career changers. You will learn how to collect, clean, analyse, visualize and communicate data using industry-relevant tools including Microsoft Excel, SQL, Python, Pandas and Power BI. The programme combines instructor-led learning, practical exercises, assessments and real-world projects to help you develop skills that can be applied to business, finance, marketing, healthcare, education, technology and other data-driven industries.
Who Should Enroll in Our Data Analysis Course?
Data Analysis is useful across almost every modern industry. You do not need to be a computer science graduate to begin. What matters most is your willingness to learn, practise and solve problems using data.
1. Students & Undergraduates
Build practical analytical skills before graduation and develop projects that can strengthen your CV, internship applications and future career opportunities.
2. Graduates & Job Seekers
Develop practical skills in Excel, SQL, Python and Power BI that can help you pursue entry-level data and business intelligence opportunities.
3. Working Professionals
Learn how to turn workplace data into useful reports, dashboards and insights that can improve decision-making and professional performance.
4. Business Owners & Entrepreneurs
Use data to understand customers, sales, expenses, marketing performance, inventory and other important areas of your business.
5. Career Changers
If you want to move into technology or a data-related career, this programme provides a structured path from fundamentals to practical analysis.
6. Professionals in Non-Technical Fields
Accountants, administrators, marketers, finance professionals, researchers, educators and other professionals can use data analysis to improve their work.
Course Overview
- Modules 5
- Topics 80+
- Duration 12 Weeks
- Skill Level Beginner–Intermediate
- Language English
- Assessments Yes
- Hybrid Learning Yes
- Certification Yes
Data Analysis Course Description
This practical Data Analysis programme introduces you to the complete data analysis workflow, from understanding a business question and preparing raw data to analysing information, creating visualizations and communicating useful insights.
You will work with Microsoft Excel, SQL/MySQL, Python, Pandas, NumPy, Matplotlib, Seaborn and Power BI. The programme is designed to help you understand not only how the tools work, but also when and why to use them.
You will progressively learn how to clean messy datasets, perform calculations, query databases, explore datasets with Python, create visualizations, build dashboards and present findings in a way that decision-makers can understand.
The programme also includes practical case studies and projects designed to help you build confidence using real-world data.
Skills You Will Master During the Data Analysis Course
By the end of the programme, you should be able to:
- Understand the complete Data Analysis process.
- Identify different types and sources of data.
- Clean and prepare datasets for analysis.
- Use Microsoft Excel for professional data analysis.
- Use formulas, lookup functions and PivotTables.
- Create Excel charts and dashboards.
- Write SQL queries to retrieve and analyse data.
- Work with relational databases and tables.
- Use Python for data analysis.
- Use NumPy and Pandas for data manipulation.
- Handle missing and duplicate data.
- Create charts using Matplotlib and Seaborn.
- Use Power Query to transform data.
- Build Power BI dashboards.
- Understand DAX fundamentals.
- Create relationships between data tables.
- Develop practical data reports.
- Communicate analytical findings clearly.
- Build portfolio-ready projects.
Data Analysis Certification
Students who successfully complete the required training, practical exercises and assessments receive a Data Analysis certificate from VOKS Institute.
The programme is designed around practical competence. Your ability to collect, clean, analyse, visualize and interpret data is therefore an important part of the learning and assessment process.
Rather than learning only for a certificate, the goal is to help you develop practical evidence of your ability through projects and analytical work.
Career Opportunities After Data Analysis Training
Data analysis skills can be applied across finance, banking, marketing, healthcare, education, retail, technology, logistics, government, telecommunications and many other industries.
Career Paths You Can Explore
- Data Analyst
- Junior Data Analyst
- Business Intelligence Analyst
- Reporting Analyst
- Financial Analyst
- Marketing Analyst
- Operations Analyst
- Data Visualization Specialist
- Business Analyst
- Risk Analyst
- Research Analyst
- Data Quality Analyst
- Database/SQL Analyst
- Analytics Consultant
Data Analysis can also complement existing careers. For example, an accountant can use analytics to understand financial performance, a marketer can analyse campaign data, and a business owner can use dashboards to monitor sales and customers.
Hands-On Data Analysis Projects
Practical projects are an important part of developing Data Analysis skills. During the programme, learners can work on projects and case studies such as:
- Sales performance analysis
- Customer behaviour analysis
- Excel business dashboard
- SQL business database analysis
- Customer segmentation
- Financial performance analysis
- Power BI executive dashboard
- Customer churn analysis
- Marketing campaign analysis
- Python exploratory data analysis
- Data cleaning project
- Final portfolio/capstone project
These projects are intended to help you move from simply learning software features to actually solving analytical problems.
Continue Learning About Data Analysis
If you are still researching Data Analysis before enrolling, the following VOKS Institute resources can help you understand the field, compare learning options and explore individual topics in greater depth.
Start with the Data Analysis beginner guide:
Introduction to Data Analysis
Want to know where to study Data Analysis in Akure?
Where Can I Learn Data Analysis in Akure?
Prefer physical classroom training?
Learn Data Analytics Physically in Akure
Comparing Data Analysis institutes?
Best Data Analysis Training Institute in Akure, Ondo State
Interested in the broader Data Science career path?
From Beginner to Data Scientist
Want to learn Python for Data Analysis?
Python Syntax, Comments and Variables
Want to learn Pandas for data manipulation?
Pandas for Data Analysis
Data Analysis Training in Akure and Across Nigeria
VOKS Institute provides practical Data Analysis training for learners in Akure, Ondo State and students joining from other parts of Nigeria.
If you are searching for a Data Analysis course in Akure, you can attend physical classes at the VOKS training hub. Learners outside Akure can also participate through available live virtual learning options.
Our training is suitable for learners from nearby locations including Ondo, Owo, Ore, Akoko, Idanre, Ilara-Mokin and other parts of Southwest Nigeria, as well as learners from Lagos, Abuja, Benin City and other Nigerian cities who prefer online learning.
The goal is to give learners a structured learning path instead of forcing beginners to piece together disconnected tutorials from different sources.
Why Learn Data Analysis at VOKS Institute?
Practical Learning
Learn by working with datasets, analytical exercises, dashboards, SQL queries and practical projects instead of relying only on theory.
Industry-Relevant Tools
Build experience with Microsoft Excel, SQL, Python and Power BI — tools commonly used in modern data workflows.
Project-Based Training
Apply what you learn through practical case studies and projects that can contribute to a professional portfolio.
Flexible Learning
Choose between available physical learning in Akure and live virtual learning options depending on your location and learning preference.
Data Analysis Course Curriculum
The curriculum follows a progressive learning path. You start with the fundamentals of data analysis before moving into Excel, SQL, Python and Power BI.
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Module 1: Introduction to Data Analysis -
Introduction to Data Analysis and Data Analytics
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What is a Data Analyst?
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Why Data Analysis is important
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Data Analyst vs Data Scientist vs Data Engineer
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Understanding datasets and data types
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Data sources and file formats
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Introduction to Excel, SQL, Python and Power BI
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The Data Analysis workflow
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Module 2: Microsoft Excel for Data Analysis -
Excel environment and worksheet navigation
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Sorting and filtering datasets
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Data types and formatting
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Data cleaning in Excel
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Text functions and data extraction
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Date and time functions
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IF and logical functions
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COUNT, COUNTA and COUNTIF
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SUM, AVERAGE, MIN and MAX
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VLOOKUP, HLOOKUP and INDEX/MATCH
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PivotTables and PivotCharts
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Excel charts and visualization
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Building an Excel dashboard
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Excel business case study
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Module 3: SQL and MySQL for Data Analysis -
Introduction to SQL
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Understanding relational databases
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Tables, rows and columns
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Primary keys and foreign keys
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Creating and modifying tables
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SELECT and DISTINCT
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WHERE, ORDER BY and LIMIT
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GROUP BY and HAVING
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COUNT, SUM, AVG, MIN and MAX
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LIKE, IN and BETWEEN
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SQL aliases
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INNER JOIN
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LEFT JOIN
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RIGHT and other join concepts
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UNION and UNION ALL
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CASE statements
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SQL views and NULL handling
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SQL business case study
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Module 4: Python for Data Analysis -
Introduction to Python
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Python syntax, variables and comments
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Python data types
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Conditional statements
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Jupyter Notebook
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Introduction to NumPy
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NumPy arrays and indexing
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Introduction to Pandas
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Pandas Series and DataFrames
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Reading CSV files
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Cleaning datasets with Pandas
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Missing values
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Removing duplicate records
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Filtering and transforming datasets
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Matplotlib visualization
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Bar, line, scatter, histogram and pie charts
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Seaborn visualization
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Exploratory Data Analysis
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Module 5: Power BI, Dashboards and Data Storytelling -
Introduction to Power BI
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Navigating Power BI Desktop
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Importing datasets
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Power Query
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Cleaning and transforming data
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Renaming and reordering columns
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Handling anomalies
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Data types and formatting
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Relationships between tables
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Data modelling
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Measures and calculated columns
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DAX fundamentals
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Cards, tables and slicers
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Charts and interactive visuals
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KPIs and dashboard design
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Geographic data and maps
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Business intelligence reporting
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Customer churn case study
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Final Data Analysis capstone project
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What You Can Expect When You Enroll
Choosing a Data Analysis course is an investment in your skills and career. At VOKS Institute, the programme is structured around practical learning so that you can gradually move from understanding data concepts to actually analysing datasets and presenting useful insights.
Project-Based Learning
You will work through practical exercises, datasets and case studies designed to reinforce the concepts taught during training.
Instructor Guidance
Experienced instructors guide you through difficult concepts and practical analytical tasks.
Portfolio Development
Complete projects that can help demonstrate your analytical skills to employers, clients or collaborators.
Career-Oriented Training
Develop practical skills that can support employment, freelancing, business analytics, entrepreneurship or further study.
Your Data Analysis Learning Path
A strong Data Analyst does more than operate software. The real skill is knowing how to move from a question to reliable data, from raw data to analysis, and from analysis to a useful business insight.
1. Understand
Learn the fundamentals of data, datasets, analytical questions and the Data Analysis process.
2. Prepare
Learn how to collect, organise, clean and transform raw data before analysis.
3. Analyse
Use Excel, SQL and Python to investigate patterns, trends and relationships within datasets.
4. Visualize
Turn analytical results into charts, dashboards and reports using Python, Excel and Power BI.
5. Communicate
Learn to explain analytical findings clearly so that business stakeholders can understand the meaning behind the numbers.
6. Build
Apply everything you learn through practical projects that strengthen your portfolio and confidence.
Frequently Asked Questions About Data Analysis Training
Meet Your Data Analysis Instructors
Paul Adeyemi
Lead Instructor — Data Analyst / Data Scientist
Paul has practical experience across Data Analysis, Data Science, SQL, Python and Power BI, bringing industry-oriented knowledge into the classroom.
Nwachukwu Maureen
Data Analyst
Maureen works with data analysis and SQL/Excel workflows and contributes practical experience to the Data Analysis learning environment.
Odegbaro Joshua
Data Analyst
Joshua brings practical experience in data visualization and analytical presentation to help learners understand how data can become useful information.
Ready to Start Learning Data Analysis?
If you are looking for a practical Data Analysis course in Akure or a live online programme you can join from anywhere in Nigeria, VOKS Institute provides a structured learning path covering Excel, SQL, Python, data visualization and Power BI.
Start Your Data Analysis TrainingRelated Data & Analytics Resources
Where Can I Learn Data Analysis in Akure?
Physical Data Analysis Classes in Akure
Best Data Analysis Training Institute in Akure
From Beginner to Data Scientist
Learn Data Analysis. Build Projects. Develop Your Career.
Do not wait until you feel completely ready. A structured learning programme can help you understand what to learn, practise the right skills and progressively build confidence with real datasets.
Start your Data Analysis journey with VOKS Institute and learn practical analytical skills using Excel, SQL, Python and Power BI.