How to Choose a Path
6 entriesData analytics is about answering business questions with data. Learn spreadsheets and SQL first, add Python or R and statistics, learn a BI tool such as Power BI or Tableau, then add a certificate or platform credential and build a portfolio of real analyses.
Step 1: SQL, Spreadsheets and Python
11 entriesThe core skills of most analyst roles.
Step 2: Professional Certificates and Courses
9 entriesStructured programs that combine tools, projects and a certificate.
BI Tools Training
6 entriesTraining for the dashboard and reporting tools analysts use.
Vendor and Platform Certifications
10 entriesCredentials for specific analytics platforms. Exam names change, so check each provider's page.
Business Analysis and Data Management Credentials
4 entriesAdjacent credentials for analysts who work with business requirements and data governance.
Communities and Practice
4 entriesWhere analysts practise and keep up with the field.
Related Pages
6 entriesNeighbouring pages on this site.
Frequently Asked Questions
How do I become a data analyst?
Learn Excel and SQL, add Python or R and basic statistics, learn a BI tool such as Power BI or Tableau, and build a portfolio of analyses on real datasets. A professional certificate such as Google Data Analytics, IBM Data Analyst or Meta Data Analyst gives structure.
Which data analytics certification should I take?
Choose by the tools your target employers use. Professional certificates from Google, IBM and Meta suit beginners. The Microsoft Power BI Data Analyst Associate (PL-300), Tableau and Databricks credentials show platform skills.
SQL, Excel or Python first?
SQL and Excel are used in most analyst roles, so start with them. Add Python or R when you need larger datasets, automation or statistics.
Power BI or Tableau?
Both are widely used. Power BI fits organisations on Microsoft, Tableau is common in visualization-heavy teams. Check job listings in your target market and use the free training from each vendor to try them.
How is this different from the Data Science and Data Engineering pages?
This guide covers analysis, reporting and dashboards. The Data Science Courses and Certifications page goes deeper on statistics and machine learning, and the Data Engineering page on pipelines and warehousing.
How current is this page?
Links were checked on 2 November 2026. Course catalogues, exam names and prices change often, so confirm details on each provider's own page. Descriptions summarise each provider's pages and are not rankings. Sites that block automated checks, such as DataCamp, Tableau, Snowflake and Alteryx, are kept and may need a manual click.