Data Analytics Upskilling Program

Overview

The Data Analytics Upskilling Program is an 8-week hybrid course (104 hours) designed for working professionals seeking to enhance their data-driven decision-making skills while maintaining their current employment. The program blends technical mastery (Excel, SQL, Python, Power BI) with behavioral and professional skills, enabling learners to apply analytics in real business contexts.

What jobs can I do after completing the programme?

This program upskills you to become a Data Analytics Associate, preparing you for roles such as Data Analyst, Business Intelligence Associate, Reporting Analyst, Data Visualization Associate, Monitoring & Evaluation (M&E) Analyst, Operations Analyst, Insights Associate, Business Analyst, Junior Data Scientist, and Data Support Specialist.

A Data Analytics Associate works with data to help organizations make informed business decisions. They collect, clean, analyze, and visualize data using tools such as Excel, SQL, Python, and Power BI to identify trends, solve problems, and generate actionable insights. Additionally, a Data Analytics Associate may support reporting processes, create dashboards, communicate findings to stakeholders, and contribute to data-driven projects across different departments. A Data Analytics Associate can work in various industries, including finance, marketing, healthcare, insurance, operations, development, and technology.

Who is this programme for?

This programme is open to male and female professionals aged 23–35 years who hold a minimum Diploma qualification and are looking to strengthen their data analytics and decision-making skills. It is ideal for individuals working in data-adjacent roles such as Finance, HR, M&E, Marketing, Operations, Insurance & Risk, and related fields.

We are looking for learners who are computer literate, comfortable working with data and reporting tools, and eager to grow in a structured, applied, and flexible weekend learning environment. The programme is best suited for professionals who are strong in Excel or reporting but lack formal training in data analytics and would like to build practical skills in Excel, SQL, Python, Power BI, AI integration, data visualization, storytelling, and business communication.

Learners will benefit from hands-on projects, capstone assignments, mentorship, and a community of like-minded professionals, helping them advance in their current roles, transition into data-centric careers, and increase their competitiveness in the job market.

Learner requirements

• 23–35 years
• Male and Female
• Holds a degree/diploma and works in a data-adjacent role (Finance, HR, M&E, Marketing, Operations, Insurance & Risk, etc.)
• Strong in Excel/reporting but lacks formal data analytics training
• Prefers a structured, applied, and flexible weekend learning environment

What you will gain

• Practical skills in Advanced Excel, SQL, Python, and Power BI
• Hands-on experience through real-world projects and capstone assignments
• Data visualization and storytelling skills for business decision-making
• Exposure to AI integration and modern analytics tools
• Improved business communication and professional presentation skills
• A professional portfolio to showcase analytics projects and competencies
• Mentorship and feedback to support career growth and confidence
• Networking opportunities with like-minded professionals and industry peers
• The ability to apply data-driven thinking in their current roles
• Enhanced career opportunities in data and analytics-related fields
• Greater competitiveness for local and global job opportunities
• A structured and flexible learning experience that accommodates working professionals

What industry skills will you learn?

Technical Units

1. Foundations of Data Analytics & Professional Readiness

• Understanding the role of a Data Analytics Associate and the data industry
• Understanding the programme curriculum and learning expectations
• Setting realistic career and industry expectations
• Relating data insights and performance metrics to business success
• Adapting communication for different stakeholders and audiences
• Building continuous learning habits in a fast-changing digital environment
• Maintaining professionalism in analytics and workplace settings

2. Data Management & Analysis

• Working with data using Advanced Excel techniques
• Cleaning, organizing, and analyzing datasets
• Understanding SQL fundamentals for data querying and database management
• Applying Python essentials for data analysis and automation
• Managing and interpreting business and operational data
• Using data to support informed decision-making

3. Data Visualization & Storytelling

• Understanding the importance of data storytelling in business
• Creating dashboards and reports using Power BI
• Visualizing data trends and patterns effectively
• Communicating insights clearly to different audiences
• Presenting findings in a professional and impactful manner

4. AI Integration & Business Applications

• Understanding AI applications in data analytics
• Using AI tools to improve efficiency and productivity
• Applying analytics to real-world business scenarios
• Integrating technology into workplace problem-solving
• Supporting data-driven innovation across different sectors

5. Capstone & Portfolio Development

• Working on hands-on projects and real-world case studies
• Developing a professional analytics portfolio
• Applying technical and business communication skills in practical scenarios
• Collaborating with peers in project-based learning
• Presenting capstone projects to demonstrate industry readiness

Behavioral Skills and Mindsets

Mindsets

• Growth Mindset – The belief that skills and abilities can improve through learning and practice
• Personal Responsibility – Taking ownership of work, commitments, and professional growth
• Future Orientation – Setting career goals and understanding how current actions shape future success
• Persistence – Staying committed and overcoming challenges in learning and problem-solving

Behavioral Skills

• Analytical Thinking – Interpreting data and solving problems using evidence-based approaches
• Proactiveness – Taking initiative in learning, projects, and workplace responsibilities
• Adaptability – Adjusting to new technologies, tools, and changing work environments
• Attention to Detail – Working with accuracy, precision, and care when handling data and reports
• Communication Skills – Explaining data insights clearly and effectively to different audiences
• Collaboration – Working effectively with teams and stakeholders in data-driven environments

What do we offer?

• Coaching: The instructors and mentors at Generation aren’t just teachers; they’re coaches who stand by their students through successes and challenges.
• Resume Building: The right resume can open the door to new career opportunities. Generation students learn how to create a resume that showcases their skills and experiences.
• Interview Rehearsal: By conducting mock interviews and then providing real-time feedback and coaching, the Generation team ensures that all graduates feel confident and prepared to interview.
• Ongoing Support:  After graduation, mentors and instructors continue to check in with alumni, providing support with the job search and advice for continued success.

Program Dates

What does data analyst do?

A Data Analytics Associate works with data to support informed decision-making within organizations by collecting, cleaning, analyzing, and interpreting data from different sources. They use tools such as Excel, SQL, Python, and Power BI to identify trends, generate insights, and create reports or dashboards that support business performance. Additionally, a Data Analytics Associate may communicate findings to stakeholders, support data-driven projects, and contribute to problem-solving and strategic planning across departments. A Data Analytics Associate can work in various industries, including finance, marketing, healthcare, insurance, operations, development, technology, and customer service.

The application process

Ongoing benefits of Generation

• A trusted network. Continued contact with the Generation graduate network
• Events. Events and workshops to help you keep growing
• Give back. Become a mentor to help others
• Support. Troubleshoot your job challenges

About Generation