Understand data.
Make better decisions.
Build the confidence to interpret business information, work with modern analytics tools and present meaningful insights. Explore practical courses in business analytics, Excel, Power BI, SQL, Python and data storytelling.
Find your next skill.
Choose the direction that best matches what you want to learn.
Four paths to stronger data skills.
Start with the skills most relevant to your role or career ambitions, from business reporting to the tools behind modern analytics.
Think like an analyst.
Understand data-led decisions, measures and business performance.
02 / Analytics toolsWork with the toolkit.
Explore Excel, Power BI and SQL in one business-focused pathway.
03 / CommunicationTell the data story.
Build clearer dashboards and communicate meaningful findings.
04 / CodingStart with Python.
Use beginner-friendly programming to explore and visualise data.
Business & Data Analytics courses
Choose the right next step for your professional development. Compare the course topics and explore the product pages below.
From insight to action
Develop the analytical judgement and practical skills that support better decisions.
Business Analytics & Data-Driven Decision-Making
Turn business information into useful insight. Frame better questions, understand patterns and make evidence-based recommendations.
- Define useful business questions
- Interpret trends and key metrics
- Communicate evidence-based decisions
Data Analytics with Excel, Power BI & SQL
Develop a versatile data-analysis workflow using spreadsheets, SQL queries, data preparation and Power BI dashboards.
- Excel formulas, PivotTables and cleaning
- SQL querying and data modelling
- Power BI reports and visualisation
Data Storytelling & Dashboard Design
Transform charts into clear stories. Select meaningful measures, design readable dashboards and explain what the data means.
- Choose effective charts and metrics
- Create accessible dashboard layouts
- Present insights and next steps
Python for Data Analysis: Beginner to Practical
Learn introductory Python techniques for exploring tabular data, cleaning records and producing understandable visual summaries.
- Python and notebook fundamentals
- Cleaning and exploring tabular data
- Basic charts and reproducible analysis
Build practical confidence with data.
Strong analytics begins with knowing what to ask, how to investigate it and how to communicate findings responsibly.
Start with the question.
Connect numbers and evidence to the real decisions professionals face.
Learn workplace tools.
Explore practical approaches to reports, data preparation, dashboards and analysis.
Make findings useful.
Turn patterns and comparisons into clear summaries and recommendations.
Choose your starting point.
Explore a course that fits your experience and the skills you want to develop next.
Browse all coursesWhich course should I explore first?
Business Analytics & Data-Driven Decision-Making is a useful starting point for understanding business questions and interpreting trends. The Excel, Power BI & SQL course is a more tool-oriented route.
Do I need coding experience?
Business Analytics and Data Storytelling focus on analytical and communication concepts. Python for Data Analysis introduces beginner programming concepts.
How is data storytelling different from analytics?
Analytics explores patterns and answers questions. Data storytelling focuses on presenting those findings clearly using visuals, dashboards and concise explanations.
Can I learn analytics alongside AI skills?
Yes. AI and analytics are complementary subjects. You can explore ICTCA's AI & Digital Skills courses alongside this category.
Your next skill starts with one choice.
Explore ICTCA's professional course catalogue and plan your next step.