Curated tools, courses, and platforms to take you from beginner to job-ready. Handpicked by the IDC team.
Don't try to learn everything at once. Pick one tool, commit to 30 minutes a day for 30 days, and build a small project. Then move to the next. Join our community group to share your progress and get support from fellow learners.
Never worked with data before? Start here. These tools and courses are designed to be accessible to complete beginners — no coding experience required for most of them.
The cornerstone of data analysis. Learn formulas, pivot tables, charts, and VLOOKUP. Excel is the most widely used tool in business data work and an essential first step.
A free, browser-based alternative to Excel. Great for collaboration and sharing. Learn the same core spreadsheet skills — formulas, charts, and data cleaning — with nothing to install.
A structured 6-month programme covering spreadsheets, SQL, Tableau, and R. Designed for complete beginners, it's one of the most recognised entry-level data credentials available. IDC members have received this scholarship.
SQL is the language of databases and one of the most in-demand data skills globally. Start with SELECT, WHERE, GROUP BY, and JOINs. SQLZoo and W3Schools both offer free interactive exercises with instant feedback.
A free, powerful business intelligence tool from Microsoft. Connect to data sources, build interactive dashboards, and create reports that tell stories. Widely used across Nigerian companies and globally in demand.
Understanding data starts with understanding statistics. Khan Academy's free Statistics and Probability course is clear, beginner-friendly, and interactive. Learn mean, median, distributions, and probability from scratch.
Ready to go deeper? These resources build on spreadsheet and SQL foundations, introducing programming, advanced visualisation, and data storytelling.
Python's Pandas and NumPy libraries make data wrangling at scale possible. Kaggle Learn offers a free, self-paced Python for Data Science course that's practical and project-based — great once you're comfortable with SQL basics.
The free online book "R for Data Science" by Hadley Wickham is the definitive guide to using R with the tidyverse. Excellent for statistical analysis, academic research, and producing beautiful visualisations with ggplot2.
Tableau is one of the most powerful data visualisation tools available. Tableau Public is free and lets you build and publish stunning interactive dashboards. An excellent portfolio-builder and widely recognised by employers.
Go beyond basic queries with window functions, CTEs, subqueries, and performance optimisation. StrataScratch has real interview-style SQL questions from top companies — excellent for job preparation and sharpening analytical SQL skills.
Data analysis is only as valuable as the story it tells. This blog (free) and book teach you how to choose the right chart, eliminate clutter, and design dashboards that drive decisions. One of the most recommended resources in the data community.
Kaggle is the world's largest data science community. Browse thousands of public datasets, study winning notebooks, and enter competitions to build real-world problem-solving experience. A must-have for any growing data analyst.
For practitioners ready to move into machine learning, data engineering, and specialised analytics domains.
The gold standard for learning machine learning. Andrew Ng's courses are clear, rigorous, and taught by one of the field's pioneers. Covers supervised learning, neural networks, and best practices for real-world ML systems.
A free 9-week cohort-based course covering the full data engineering stack — containerisation, data warehousing, workflow orchestration, batch and streaming processing. Industry-aligned and project-driven.
dbt is transforming how analytics engineering is done. Learn to build scalable data transformation pipelines in SQL, write tests, and document your data models. dbt Learn offers free courses directly from the creators.
Real datasets to help you build projects, practise analysis, and put learning into action.
Join IDC to share resources, get feedback on your projects, and grow alongside a community of data learners just like you.