Data Analyst Upskill

Alumni story: Yvonne Ayettey

Overview

Data Analysts transform raw data into actionable insights that drive strategic decisions. They clean, organise, and analyse datasets using statistical and computational techniques, presenting findings through visualisations and reports that influence outcomes across industries – from finance to architecture.

This upskilling programme is tailored for professionals with 3-6 years of experience who want to elevate their careers through data-driven expertise. Whether you are in finance, monitoring & evaluation, insurance, risk management, architecture, sales, or related fields, data analytics is a critical skill for innovation and growth.

Part-time: Saturday and Sundays (1pm to 5pm) and 1 hour per day asynchronous work (Mon to Fri).

What jobs can I do after completing the programme?

Upon completion, you’ll be equipped to enhance your current role or transition into high-demand positions such as:

• Data Analyst
• Business Intelligence Analyst
• Marketing Analyst
• Financial Analyst
• Risk & Insurance Data Specialist
• Freelance Data Consultant

Who is this programme for?

This programme is designed for associates to mid-career professionals who are:

• Currently working in specialised fields (e.g., finance, sales, insurance, M&E, architecture, risk management, etc) with an approximate experience of 3-6 years
• Seeking career advancement or a pivot into data-centric roles
• Passionate about leveraging data for smarter decision-making
• Earning less than GHS 1,850 monthly

Why Choose This Programme?

• Tailored for Busy Professionals: Flexible schedule without career disruption
• Real-World Impact: Weekly exercises and a capstone project
• Future-Proof Skills: Stay ahead with AI and data storytelling
• Online Convenience: Learn at your pace with expert guidance
• Proven Outcomes: Alumni report faster promotions and increased confidence

Requirements

• Aged between 23 and 35
• Currently employed and with 3-6 years of experience
• Hold a degree, diploma, or professional certification
• Available for weekend online sessions (approximately 8 hours per week)
• Willing to commit 1 hour per day asynchronous work (Mon-Fri) for self-paced e-learning, assignments, and projects
• Not a graduate of any previous Generation Ghana programme

What you will gain

• Free Upskilling: Access cutting-edge data analytics training at no cost
• Career Growth: Position yourself for promotions or new roles
• Hands-On Projects: Build a portfolio with real-world applications
• Professional Network: Connect with peers across industries
• Ongoing Support: Receive mentorship and career guidance post-programme

What industry skills will you learn?

Technical skills

We’ll help you learn the technical skills with lots of hands-on, interactive sessions. By the end, you will go through:

• Statistical Analysis
• Data Manipulation
• Programming (Python, SQL)
• Data Visualisation (Power BI, Tableau)
• Machine Learning Fundamentals
• Database Management
• Data Governance & Ethics

Behaviour & mindset skills

In every job, there are professional skills that will ensure your success. These are the ones you will work on in this programme:

• Growth Mindset
• Strategic Communication
• Time Management
• Problem-Solving
• Future Orientation
• Resilience

What we offer

• Expert Coaching: Mentors and instructors tailored to working professionals
• Resume & LinkedIn Refresh: Showcase your new skills effectively
• Interview Preparation: Practice pitching yourself for roles and promotions
• Alumni Access: Join a global community for continued learning and mentorship
• Office Hours Support

Programme Dates

What does a Data Analyst do?

Data Analysts help organisations:

• Optimise operations
• Understand customer behaviour
• Forecast risks and opportunities
• Drive evidence-based strategies

The application process

Ongoing benefits of Generation

• A trusted network. You’ll join our ever-growing network of Generation graduates with access to continued learning and support from us.
• Get involved and give back. There are many ways to get involved with spreading the Generation message once you graduate to help more people access life-changing careers.
• Ongoing support. Use your new Generation network to find out about future career opportunities and troubleshoot challenges with each other.

Programme Curriculum Highlights

Format: Blend of synchronous (on Microsoft Teams with instructors) and self-paced asynchronous (on Canvas LMS) sessions

• Week 1: Foundations of Data Analytics: Understand the analyst’s role, data types, quality, ethics, and a 5-step workflow.
  Hands-on: Analyse a business dataset for insights.
• Week 2: Excel for Data Analysis: Master advanced functions, data cleaning, and pivot tables.
  Practical: Clean (sales) data and build summaries.
• Week 3: SQL Fundamentals: Learn queries, joins, and aggregations.
  Exercise: Extract and analyse customer data.
• Week 4: Statistics & Python Basics: Explore distributions and manipulate data with Python.
  Hands-on: Run statistical analyses.
• Week 5: Data Visualisation & Storytelling: Create impactful dashboards and narratives.
  Practical: Present data insights to stakeholders.
• Week 6: Stakeholder Communication: Develop skills for gathering requirements and managing projects.
  Exercise: Role-play meetings and draft documentation.
• Week 7: AI in Data Analysis: Integrate AI tools for enhanced workflows and ethical practices.
  Hands-on: Augment a project using AI.
• Week 8: Capstone Project: Deliver a complete business case study from data collection to presentation.
  Outcome: Portfolio-ready project and personal growth reflection.

Partners

About Generation