Data Analytics, Business Analysis and Tech Career Training — Online
10Alytics is an edu-tech provider running live, instructor-led programmes in data and business analytics for people moving into tech roles or building on the skills they already have. The courses are cohort-based rather than self-paced, taught by practitioners working at global technology firms, and built around hands-on projects that produce a portfolio rather than only a certificate.
Data Analytics
The flagship programme, covering Excel, Power BI, SQL, Tableau and Microsoft Fabric. It suits complete newcomers and analysts sharpening existing skills, working through data cleaning, querying, visualisation and dashboard building on real business cases.
Business Analysis
Hands-on training for the Business Analyst role, starting with Excel, Power BI and SQL, then moving into planning and delivering projects using Agile and Scrum. Includes live classes, real-world projects and a virtual internship.
Data Science and Data Engineering
The Full Stack Data Scientist programme covers Python, visualisation and machine learning applied to business problems. Data Engineering focuses on building and automating data pipelines with Python, SQL and modern stack technologies, moving large datasets between sources.
Specialist tracks
Financial Analytics and HR Analytics apply the same analytical toolkit within a specific function — useful if you already work in finance or people teams and want to bring data into decisions rather than change career entirely. Agile Project Management & Scrum Master and a Cybersecurity programme are also available.
Which track should I choose?
Data Analytics is the broadest starting point and the one with the widest range of job titles at the end of it. Choose Business Analysis if you are more drawn to process, requirements and stakeholders than to querying data yourself. Data Science and Data Engineering go deepest technically and expect you to be comfortable learning to code. Financial and HR Analytics only make sense if you intend to stay in those functions.
