Data Science & Analytics
Descriptive statistics, data cleaning, visualisation choice (bar, line, pie, scatter, histogram, box plot), probability, correlation & regression, hypothesis testing, dashboards, Python/pandas analysis, machine learning basics — school through Masters level
Analyse your own data right here
Upload a CSV or Excel file, or type your figures in by hand. Data Studio describes every column, works out the statistics and recommends the best chart — then draws it in colour.
Open Data StudioTry an example
- 1I have monthly sales for 3 regions — which chart should I use and why?
- 2Find the mean, median, standard deviation and outliers in this dataset
- 3Explain when to use a pie chart instead of a bar chart
Pick your level
Each level uses the right language and depth for where you are studying. Select a level to see whatdata science support looks like.
Primary school learners and beginners
Primary / Beginner
Very simple language and small, explicit steps — perfect for primary school and first-time learners.
Junior and senior secondary students
Junior / Secondary
Standard school notation and moderate detail — ideal for junior and senior secondary students.
Senior secondary and high-school students
Senior Secondary / Advanced
Formal notation and efficient reasoning — for advanced secondary, high-school exams and college prep.
University undergraduates
University / Undergraduate
Rigorous university-level reasoning with assumptions, laws and theorems named clearly.
Professionals and certification candidates
Professional / Certification
Industry-ready answers, standards, frameworks and real-world best practice for certifications.
Masters and postgraduate students
Masters / Postgraduate
Postgraduate rigour: full derivations, code clauses, limitations and alternative advanced methods.
PhD researchers and academics
PhD / Research
Doctoral research rigour: formal proofs, literature comparison, complexity analysis and future directions.
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