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Track 01
Master SQL relational queries, database joins, aggregations, and Pandas data cleaning.
Every module in the order you'll work through it. Each one is practised inside the portal and marked as you go.
Core Python for analysts: loops, strings, lists, dictionaries and logic building.
57 challenges: array vs list, creating arrays, properties, indexing, slicing, sorting & searching, statistics, and reshaping.
157 challenges: reading and writing CSV/Excel/JSON, exploring, selecting, filtering, sorting, cleaning and summarising DataFrames.
53 challenges: line/bar/scatter/pie charts, histograms, titles & legends, subplots, styling and saving figures.
54 challenges: table structure, inserting data, SELECT/WHERE/operators, pattern matching, sorting, aggregates, GROUP BY/HAVING, updating and deleting — in a live SQLite terminal.
Workbook basics, data entry, formatting, formulas and charts on a live spreadsheet.
45 challenges: central tendency, min/max/range, variance & standard deviation, percentiles & quartiles, frequency, correlation & covariance, and probability.
Statistical plots: histograms, box plots, heatmaps and pair plots.
Load data, model relationships and build interactive business dashboards.
Work in notebooks: run cells, clean a messy HR dataset and present the analysis.
Find datasets and competitions, submit notebooks, and read a leaderboard on Kaggle.
46 tasks across eight sections: setup, starting a repo, the everyday add-commit-push workflow, GitHub remotes, branching, notebooks and datasets, collaboration, and fixing mistakes.
11 topic quizzes, NumPy through Git, plus the full Python, SQL and Pandas quizzes. Ten questions each, locked once answered.
All hands-on projects in one place: Python, SQL, NumPy, Pandas data cleaning, and the analysis capstone.
Perform high-performance numerical computations with NumPy, exploratory data analysis, and capstone modeling.
Sharpen keyboard speed and accuracy with live WPM tracking and detailed performance analytics.
Build core programming logic with C: basics, input and output, variables, data types, operators, conditionals, loops, arrays, strings, functions, maths, and advanced searching, sorting & matrix programs — sub-track by sub-track.