The Best Way to Learn Data Analytics in 2026
Data analytics is the practice of cleaning, exploring, and interpreting data to answer business questions and guide decisions. It is one of the highest-demand, fastest-to-enter careers because it needs practical skills rather than a specific degree.
Quick answer
The best way to learn data analytics is to build the four core, employer-requested skills in order: (1) spreadsheets — Excel or Google Sheets; (2) SQL to query databases; (3) a visualisation tool such as Tableau or Power BI; (4) basic statistics to interpret results correctly. Build a portfolio of 2–3 real analyses as you go. Most career-changers reach an entry-level analyst level in 4–6 months of consistent practice — no degree required.
50
expert-led courses
4
free to start
6
skill categories
Figures reflect the live GeraLearn course catalogue as of June 2026.
The fastest way to learn Data Analytics: 4–6 months to entry-level analyst
Learn these stages in order — and build something small at each one rather than only watching tutorials. Project-based practice is what turns knowledge into a job-ready skill.
- 1
Spreadsheets
Master Excel or Google Sheets — formulas, pivot tables, charts. Most analysis still starts in a spreadsheet, and employers expect fluency.
- 2
SQL
Learn to query databases with SQL (SELECT, WHERE, JOIN, GROUP BY). It is the single most-requested data analyst skill.
- 3
Data visualisation
Learn Tableau or Power BI to turn analysis into clear dashboards and charts that stakeholders understand.
- 4
Statistics
Learn descriptive statistics, distributions and A/B testing basics so you draw correct conclusions, not misleading ones.
- 5
Build a portfolio
Complete 2–3 end-to-end analyses on real datasets and publish them. A portfolio, not a certificate alone, lands the first job.
GeraLearn courses to learn Data Analytics
These real GeraLearn courses follow the roadmap above. Start free and upgrade only when you want certificates and the full catalogue.
Excel & Google Sheets Mastery
£39Go from basic spreadsheets to powerful data analysis without writing code.
Beginner · 16 hours · Certificate
SQL for Analysts
£39Query databases confidently and extract the insights your organisation needs.
Beginner · 18 hours · Certificate
Data Visualisation with Tableau
£49Build dashboards that make data clear, compelling, and actionable.
Beginner · 16 hours · Certificate
Statistical Analysis
£49Understand and apply statistics to make better decisions from data.
Intermediate · 22 hours · Certificate
Browse the full course catalogue or compare pricing plans.
Frequently asked questions
How long does it take to learn data analytics?
With consistent, focused study you can reach an entry-level analyst level in about 4–6 months. The exact time depends on your starting point and how much you practise on real datasets versus only watching tutorials.
Do I need a degree to become a data analyst?
No. Data analytics is one of the most accessible technical careers for self-taught learners. Employers care about demonstrable skills — SQL, spreadsheets, visualisation — and a portfolio of real analyses far more than a specific degree.
What is the most important data analytics skill?
SQL. Most real-world data lives in databases, and SQL is how analysts get it out and shape it. It is the most-requested skill in data analyst job postings, so prioritise it alongside spreadsheet fluency.
What is the best way to learn data analytics?
Learn the four core skills in order (spreadsheets, SQL, visualisation, statistics) and apply each to a real dataset immediately. Build a public portfolio of 2–3 complete analyses — that is what converts learning into a job offer.
Is data analytics a good career in 2026?
Yes. Demand for data analysts remains strong across nearly every industry, the skills are quick to learn relative to other tech roles, and the field offers a clear progression toward data science and analytics engineering.