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New Data Science batch forming · Python, SQL, ML — real datasets

Turn raw data into decisions

Python, statistics, machine learning and dashboards — built around real business datasets, not toy CSVs.

Curriculum

Explore the curriculum, level by level

Real modules, real topics, real projects — pick a level to see exactly what you'll learn and build.

Data Analyst TrackMachine Learning TrackData Analytics (BI)Data EngineeringStatisticsSQL for Analysis

Data Foundations

Python, SQL and statistics — the backbone of every data role.

6 weeks · Beginner

Modules

01
Python for DataPandas, NumPy and the day-to-day toolkit for working with data.
02
SQL FundamentalsQuerying and joining real multi-table datasets.
03
Statistics EssentialsThe statistical concepts every data role actually uses.

Topics Covered

PandasSQL JoinsDescriptive StatisticsData CleaningExploratory Analysis

Projects You'll Build

Sales Data Cleanup & EDAClean a messy real-world dataset and surface the first real insights.
SQL Business QueriesAnswer real business questions by joining across multiple tables.

Analytics & Dashboards

Turning analysis into dashboards a business team will actually use.

6 weeks · Intermediate

Modules

01
Power BI / TableauBuilding dashboards that answer real business questions, not just charts.
02
Data StorytellingPresenting findings so a non-technical stakeholder understands the 'so what'.
03
Data Pipelines BasicsGetting data from source to dashboard reliably.

Topics Covered

Power BITableauData StorytellingETL BasicsData Modeling

Projects You'll Build

Sales Performance DashboardBuild an interactive dashboard tracking key business metrics.
Data Pipeline PrototypeAutomate moving and cleaning data from source to dashboard.

Machine Learning

From a clean dataset to a deployed, evaluated model.

10 weeks · Intermediate–Advanced

Modules

01
Supervised LearningRegression and classification — training and evaluating real models.
02
Model EvaluationMetrics that matter, and how to avoid fooling yourself with them.
03
Deployment BasicsTaking a model from a notebook to something usable.

Topics Covered

Scikit-LearnRegression & ClassificationModel EvaluationFeature EngineeringBasic Deployment

Projects You'll Build

Customer Churn ModelClean a dataset, train and evaluate a model, then explain results in a dashboard.
House Price PredictionBuild and evaluate a regression model on real property data.
From raw data to a model

Projects that belong in a portfolio

Your capstone project takes a messy, real-world dataset through cleaning, exploratory analysis, modeling and evaluation — then explains the results in a dashboard a business stakeholder could actually use.

  • Work with real, messy business datasets
  • Practice explaining results, not just producing them
  • Build a dashboard stakeholders can actually use
Project

Customer Churn Model

Clean a real dataset, train and evaluate a model, then explain the results in a dashboard.

Check the next Data Analyst batch

Talk to an advisor for current fees, batch dates and mode of delivery.

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