Data Analysis & Visualization
Transform Raw Data into Actionable Insights with AI-Powered Skills at HighUpWeb Academy
The 12-Month Diploma in Data Analysis & Visualization equips students to collect, analyze, and interpret complex data to drive informed business decisions.
Students will master data cleaning, statistical analysis, visualization, dashboard creation, and AI-assisted predictive analytics.
Graduates will leave with a portfolio of data-driven projects, ready for careers as Data Analysts, Business Intelligence Specialists, Data Scientists, or Freelance Data Consultants.
Program Highlight
About Programs
This diploma combines practical experience, analytical theory, and AI-powered tools. Students will:
Learn data collection, cleaning, statistical methods, and visualization techniques
Master Excel, SQL, Python, R, Tableau, and Power BI
Use AI tools for predictive analytics, automated insights, and data modeling
Work on real-world datasets to create actionable insights and professional dashboards
Graduates are career-ready, capable of supporting businesses or clients in data-driven decision-making.
Typical Program Structure
Duration: 12 Months
Training Format: Instructor-led + Hands-on Labs + Projects + Capstone
Phases:
- Foundation Phase – Data fundamentals & IT essentials
- Data Analysis Phase – Cleaning, structuring, and querying data
- Statistical Analysis & Modeling Phase – Applied statistics and predictive modeling
- Data Visualization Phase – Tableau, Power BI, and dashboards
- AI & Automation Phase – Predictive analytics and AI-driven insights
- Capstone & Portfolio Phase – Real-world data projects
Curriculum Overview
“Our curriculum transforms students into data professionals, capable of analyzing, visualizing, and deriving actionable insights using modern tools and AI. Students complete projects demonstrating technical and analytical expertise.”
Curriculum Breakdown Summary
Foundation Courses – Data & IT Fundamentals
Objective: Build core understanding of data concepts, structures, and tools.
Topics & Skills:
Data types, structures, and data lifecycle
Introduction to databases and Excel for data handling
Basic data cleaning and validation
AI Tools: Automated data quality checks and preprocessing
Hands-On Projects:
Clean and structure small datasets
Practice Excel formulas and basic data analysis
2. Data Analysis – Cleaning, Structuring & Querying
Objective: Prepare and analyze data for meaningful insights.
Topics & Skills:
SQL for data querying and database management
Python/R for data analysis
Data cleaning, transformation, and preparation
AI Tools: Automated data cleaning, anomaly detection
Hands-On Projects:
Analyze a business dataset and generate insights
Write SQL queries to extract and summarize data
Statistical Analysis & Modeling
Objective: Apply statistics to interpret and predict data patterns.
Topics & Skills:
Descriptive and inferential statistics
Correlation, regression, and hypothesis testing
Predictive modeling using Python/R
AI Tools: Automated predictive modeling, regression analysis
Hands-On Projects:
Build predictive models for sales or customer behavior
Conduct statistical analysis and generate insights
Data Visualization & Dashboard Creation
Objective: Transform data into visual stories for effective decision-making.
Topics & Skills:
Tableau, Power BI, and advanced Excel visualization
Interactive dashboards, charts, and KPIs
Storytelling with data for presentations
AI Tools: Automated dashboard suggestions, visualization optimization
Hands-On Projects:
Build interactive dashboards for business datasets
Create data-driven reports for presentations
AI & Automation in Data Analysis
Objective: Leverage AI to enhance efficiency, insights, and predictive analytics.
Topics & Skills:
AI-powered data cleaning and preprocessing
Automated trend detection and predictive analytics
Machine learning basics for data-driven decision-making
AI Tools: Predictive insights, automated anomaly detection
Hands-On Projects:
Implement AI models to predict trends or customer behavior
Generate automated insights from datasets
Capstone Project & Portfolio Development
Objective: Apply all skills to real-world data analysis and visualization projects.
Capstone Components:
Collect and clean a real dataset
Perform statistical analysis, predictive modeling, and visualization
Present insights via dashboards and professional reports
Create a portfolio demonstrating full analytical capabilities
Skills Developed:
End-to-end data analysis and visualization
AI-enhanced insights and predictive modeling
Professional portfolio creation
Freelance or corporate data career readiness
Program Outcomes
By the end of this diploma, students will:
Master data analysis, statistical modeling, and visualization
Use AI tools for predictive analytics, automated insights, and data optimization
Build a portfolio of real-world data projects
Be ready for roles as Data Analysts, Business Intelligence Specialists, Data Scientists, or Freelancers
Certification
HighUpWeb Academy Professional Diploma in Data Analysis & Visualization
Recognized by the Ministry of Employment and Vocational Training
Validates technical competence, AI proficiency, and professional readiness
Optional Online Certifications:
Google Data Analytics Professional Certificate
Microsoft Certified: Data Analyst Associate
Tableau Desktop Specialist
LinkedIn Learning / Coursera Data Analytics Certificates
Programs Cost
Our program fees are designed to be transparent, competitive, and accessible for learners from all backgrounds, covering tuition, registration, and essential learning resources to ensure high-quality, hands-on training. We offer exclusive benefits, including Free Driving Lessons for all students and a course bundle discount, register for two courses and pay registration for only one, saving over 25,000 XAF.
For learners who are IDPs or cannot afford the fees, you can apply for a fully funded scholarship via the HighUpWeb Foundation website, and our team will review your application and guide you through the next steps. With modern facilities, expert instructors, and industry-aligned programs, we ensure that your investment in education is meaningful, practical, and future-focused.
| Program | Registration | Tuition | Total |
|---|---|---|---|
| Data Analysis & Visualization | 25000 FCFA | 100,000 FCFA | 125,000 FCFA |
Requirements and Deadlines
At HighUpWeb Academy, we welcome all aspiring tech learners, regardless of prior IT experience or academic certificates. Our 3- to 4-month programs are specifically designed to take beginners from foundational concepts to advanced proficiency in their chosen field of study.
We offer training in both English and French, and our bilingual instructors ensure that all students, regardless of their primary language, attend the same integrated classes. This approach not only fosters collaboration and cultural exchange but also gives students the unique opportunity to learn or improve their second language, French for English speakers, and English for French speakers, while mastering their technical skills.
Registration is open to anyone eager to learn, and our inclusive, hands-on programs are structured to prepare every student for real-world digital careers and professional success.
Apply Now
Join HighUpWeb Academy and take the first step toward building practical skills and advancing your career.