₦165,000
+10% VAT
We accept 3 instalment payments
Paul Adeyemi
Data Analyst / Data ScientistLead Instructor
Data & Technology
Learn Data Analysis and Become a Professional Data Analyst
Learn practical Data Analysis skills with Microsoft Excel, SQL, Python and Power BI through structured instructor-led training at VOKS Institute. Whether you are a beginner, student, graduate, working professional, entrepreneur or career switcher, this programme is designed to help you understand how data is collected, cleaned, analysed, visualised and communicated for better decision-making.
The programme combines structured lessons, practical exercises, assessments, case studies and real-world projects so that you do not simply learn software features—you learn how to use data to answer questions and solve problems.
Ready to Start Your Data Analysis Career?
If your goal is to become a Data Analyst, improve your analytical skills, build a portfolio or add data skills to your existing profession, you can start by reviewing the complete curriculum and choosing your preferred learning option.
Start Your Data Analysis TrainingWho Should Enroll in Our Data Analysis Course?
Data Analysis is useful across business, finance, education, healthcare, marketing, technology, logistics and many other industries. You do not necessarily need a computer science degree to begin. What matters is a willingness to learn, practise and work with data.
1. Students & Undergraduates
Build practical data skills before graduation, strengthen your CV and develop projects that demonstrate your ability to work with data.
2. Graduates & Job Seekers
Develop practical skills in Excel, SQL, Python and Power BI that can support your transition into data-related roles.
3. Working Professionals
Learn how to analyse business information, create reports and dashboards, and make data-driven decisions in your current role.
4. Entrepreneurs & Business Owners
Understand your sales, customers, operations and business performance by learning how to turn raw data into useful insights.
5. Career Switchers
If you want to move into technology, analytics or business intelligence, Data Analysis provides a practical starting point.
6. Anyone Interested in Data
If you enjoy solving problems, finding patterns and working with information, this course can provide a structured pathway into Data Analysis.
Course Overview
- Modules 5
- Topics 86
- Duration 12 Weeks
- Skill Level Beginner–Intermediate
- Language English
- Students 8
- Assessments Yes
- Hybrid Class Yes
- Certification Yes
Course Description
This Data Analysis course introduces learners to the role of a Data Analyst, the data ecosystem and the practical tools used to collect, prepare, analyse and communicate information.
You will learn how data can be transformed from raw information into meaningful insights that support business and professional decision-making.
The programme covers Microsoft Excel, SQL, Python and Power BI alongside data preparation, visualization, reporting, dashboard development and practical case studies.
You will also learn the difference between roles such as Data Analyst, Data Scientist, Data Engineer, Business Analyst and Business Intelligence Analyst.
Skills You Will Master
By the end of this programme, you should have a practical understanding of the core stages of the Data Analysis process.
- Explain the Data Analysis process from defining a problem to communicating insights.
- Understand different data roles including Data Analyst, Data Scientist, Data Engineer, Business Analyst and BI Analyst.
- Work with structured datasets and common data formats.
- Clean and prepare data for analysis.
- Analyse datasets using Microsoft Excel.
- Write SQL queries to retrieve and analyse database information.
- Use Python for practical data manipulation and visualization.
- Create reports and dashboards using Power BI.
- Apply data visualization techniques to communicate findings.
- Understand data modelling and relationships between tables.
- Work with realistic datasets and business case studies.
- Present analytical findings clearly to decision-makers.
- Build a portfolio of practical Data Analysis work.
Certification
Students who successfully complete the programme and meet the institute's requirements receive certification from VOKS Institute.
The training is designed to help you demonstrate practical competence in collecting, cleaning, analysing, interpreting and presenting data.
Your certificate should complement your practical portfolio and demonstrated skills rather than serve as a replacement for actual project experience.
Career Opportunities After Data Analysis Training
Data is used across finance, banking, marketing, healthcare, education, logistics, technology, government and many other industries. Developing practical analytical skills can therefore support a range of career directions.
- Data Analyst
- Business Analyst
- Business Intelligence Analyst
- Reporting Analyst
- Data Visualization Specialist
- Financial Analyst
- Marketing Analyst
- Operations Analyst
- Risk Analyst
- Data and Reporting Specialist
- Junior Data Scientist
- Business Intelligence Specialist
Data Analysis skills can also complement existing careers. Professionals in accounting, finance, marketing, sales, administration, education and entrepreneurship can use analytical skills to make better decisions with data.
Practical Data Analysis Projects
Practical experience is essential when learning Data Analysis. Throughout the programme, learners can apply concepts to realistic datasets, business questions and case studies.
- Excel data cleaning project
- Sales analysis dashboard
- Customer data analysis
- SQL database analysis project
- SQL joins and reporting project
- Python data cleaning exercise
- Python data visualization project
- Power BI dashboard
- Data modelling exercise
- Business performance report
- Customer churn case study
- Final practical portfolio project
The purpose of these projects is to help you move from simply understanding concepts to actually applying Data Analysis techniques to problems.
New to Data Analysis?
If you are completely new to Data Analysis, start by understanding what Data Analysis is, the stages involved and the tools commonly used.
Read the VOKS Data Analysis Introduction Where Can I Learn Data Analysis in Akure?Data Analysis Training in Akure and Online Across Nigeria
VOKS Institute provides Data Analysis training for learners who want to study physically in Akure or participate through live online learning. This makes the programme suitable for students and professionals within Akure as well as learners outside the city.
Learners in places such as Ondo, Owo, Ore, Akoko, Idanre, Ado-Ekiti, Osogbo, Ilesa, Ibadan, Lagos and other parts of Nigeria can explore the online learning option.
Physical Data Analysis Training
If you prefer classroom learning, direct instructor interaction and a structured physical environment, explore our guide to physical Data Analysis training in Akure.
Learn Data Analytics Physically in AkureCompare Training Options
If you are still researching where to learn Data Analysis in Akure, use our detailed guide to understand what to look for before enrolling.
Where Can I Learn Data Analysis in Akure?Why Learn Data Analysis at VOKS Institute?
Choosing a Data Analysis training institute should be based on the quality of the curriculum, practical training, instructors, learning format, projects and overall learning experience.
Practical Curriculum
Learn the core stages of Data Analysis through Excel, SQL, Python and Power BI, supported by practical exercises and case studies.
Experienced Instructors
Learn from instructors with practical experience in Data Analysis and related technology fields.
Practical Projects
Apply what you learn to datasets, dashboards, reports and case studies instead of relying only on theory.
Physical & Online Learning
Choose a learning format that works for you, whether you prefer physical training in Akure or live online classes.
Helpful Data Analysis Resources
Before enrolling, it is useful to understand the different training options, costs and learning environments available. These supporting resources can help you make a more informed decision.
Where Can I Learn Data Analysis in Akure?
A detailed guide explaining what to look for when choosing a Data Analysis training programme in Akure.
Read the GuideBest Data Analysis Training Institute in Akure
Learn the important factors to compare when evaluating Data Analysis training institutes.
Compare Training InstitutesPhysical Data Analysis Classes in Akure
Learn more about classroom-based Data Analysis training in Akure, including what to consider before enrolling.
Explore Physical TrainingData Analysis Training Cost in Akure
Understand the factors that can influence Data Analysis training costs and what to consider when comparing programmes.
Read About Data Analysis Training CostData 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. Click any module below to view the topics covered.
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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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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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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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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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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
Why Practical Data Analysis Projects Matter
Knowing the names of Excel functions, SQL commands or Power BI features is not enough to become effective at Data Analysis. You also need to understand how to approach a problem, prepare information, analyse it, create useful visualizations and communicate what the results mean.
That is why practical exercises and case studies are important. They allow you to move from learning individual tools to applying those tools to realistic questions.
What to Look for in a Data Analysis Course
Before paying for any Data Analysis training, compare the actual learning experience rather than choosing a programme based only on price or advertising.
- A clear and structured curriculum
- Relevant tools such as Excel, SQL, Python and Power BI
- Practical exercises and datasets
- Instructor guidance and feedback
- Assessments and progress checks
- Portfolio-oriented projects
- Physical and/or online learning options
- Transparent fees and payment options
Our detailed guide explains more about how to compare Data Analysis training institutes in Akure. Read the Data Analysis Training Institute Guide .
Frequently Asked Questions
Can beginners learn Data Analysis?
Yes. Beginners can start without previous professional experience. The learning path introduces concepts progressively before moving into practical tools and projects.
Do I need a computer science degree?
No. Data Analysis is not limited to computer science graduates. People from business, finance, accounting, sciences, social sciences and other backgrounds can develop Data Analysis skills through structured training and practice.
What tools will I learn?
The published curriculum covers Microsoft Excel, SQL, Python and Power BI , alongside data cleaning, analysis, visualization, dashboards and data modelling.
Can I learn Data Analysis physically in Akure?
Yes. VOKS Institute provides physical Data Analysis training in Akure. You can also read our dedicated guide: Learn Data Analytics Physically in Akure .
Can I learn online if I live outside Akure?
Yes. Live online training is available for learners who cannot attend the physical training location.
How long is the Data Analysis course?
The current published VOKS Institute Data Analysis course page lists the programme duration as 12 weeks.
Will I work on practical projects?
Yes. The programme includes practical exercises, case studies and project-based learning designed to help you apply the skills you learn.
Will I receive a certificate?
Yes. Students who successfully complete the programme and meet the institute's requirements receive certification.
How much does Data Analysis training cost?
Training costs can vary between programmes. The current VOKS Institute Data Analysis course page displays a course price of ₦165,000 + 10% VAT and states that three instalment payments are accepted. Always check the current course page before making payment because fees may change.
Start Your Data Analysis Learning Journey
If you are ready to build practical Data Analysis skills, the next step is to review the current programme details, curriculum, learning options and registration process.
Whether you want to learn Data Analysis physically in Akure or through live online classes, VOKS Institute provides a structured pathway covering Excel, SQL, Python and Power BI.
Get Started With Data Analysis Review Course DetailsReady to Learn Data Analysis?
Build practical skills in Excel, SQL, Python and Power BI and begin developing the analytical skills needed to work with real-world data.
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