Data Science

Data science and analytics with R for statistical modeling and decision-making.

16Levels

0Passed

Level 1Beginner

Statistics Fundamentals & Probability for Data Science

Document structure, tags, semantic elements, forms, links, images, and accessibility fundamentals.

4 hrs

Level 2Beginner

R for Data Analysis & Data Visualization

Selectors, cascade, specificity, box model, Flexbox, Grid, and responsive design media queries.

5 hrs

Level 3Beginner

Python Data Stack: Pandas, NumPy & SciPy

Variables, types, functions, arrays, objects, DOM manipulation, and event handling.

6 hrs

Level 4Intermediate

Exploratory Data Analysis & Data Cleaning

Event loop, promises, async/await, fetch API, handling HTTP errors, and JSON processing.

3 hrs

Level 5Intermediate

SQL for Analytics: Aggregations, Joins & Window Functions

Interfaces, types, generics, type narrowing, union types, and TS configuration.

4 hrs

Level 6Intermediate

Data Mining & Feature Engineering

JSX, props, state, component lifecycle, synthetic events, and controlled inputs.

5 hrs

Level 7Intermediate

Statistical Inference, Hypothesis Testing & Experimental Design

useEffect, useRef, useMemo, useCallback, custom hooks, and memory leak prevention.

6 hrs

Level 8Intermediate

Regression, Classification & Predictive Modeling

Prop drilling solutions, Context API, Redux Toolkit / Zustand, and persistent state.

3 hrs

Level 9Intermediate

Time Series Analysis & Forecasting

React Router, URL params, nested layouts, protected routes, and lazy loading pages.

4 hrs

Level 10Intermediate

Machine Learning Pipelines & Model Validation

Tailwind utility workflow, custom theme config, CSS modules, design tokens, and CSS-in-JS.

5 hrs

Level 11Advanced

Data Visualization & Dashboards (Shiny, Plotly, Tableau)

React Hook Form, Zod schemas, complex form state, field validation, and error feedback.

6 hrs

Level 12Advanced

Big Data: Spark, Data Lakes & Distributed Processing

TanStack Query (React Query), caching, optimistic updates, invalidation, and SWR.

3 hrs

Level 13Advanced

Data Engineering: ETL, Pipelines & Orchestration

LCP, CLS, INP, bundle optimization, dynamic imports, image formats, and lighthouse profiling.

4 hrs

Level 14Advanced

A/B Testing & Causal Inference for Product Decisions

XSS, CSRF, CSP, CORS, SameSite cookies, JWT storage, localStorage, and IndexedDB.

5 hrs

Level 15Expert

MLOps: Model Deployment, Monitoring & Retraining

Vitest, Jest, React Testing Library, Playwright E2E, mocking network calls, and coverage.

6 hrs

Level 16Expert

Enterprise Data Science & Decision Intelligence

Module Federation, Next.js App Router SSR/SSG, ISR, Edge functions, and design systems at scale.

3 hrs

Data Science

Data science and analytics with R for statistical modeling and decision-making.

16Levels

0Passed

Level 1Beginner

Statistics Fundamentals & Probability for Data Science

Document structure, tags, semantic elements, forms, links, images, and accessibility fundamentals.

4 hrs

Level 2Beginner

R for Data Analysis & Data Visualization

Selectors, cascade, specificity, box model, Flexbox, Grid, and responsive design media queries.

5 hrs

Level 3Beginner

Python Data Stack: Pandas, NumPy & SciPy

Variables, types, functions, arrays, objects, DOM manipulation, and event handling.

6 hrs

Level 4Intermediate

Exploratory Data Analysis & Data Cleaning

Event loop, promises, async/await, fetch API, handling HTTP errors, and JSON processing.

3 hrs

Level 5Intermediate

SQL for Analytics: Aggregations, Joins & Window Functions

Interfaces, types, generics, type narrowing, union types, and TS configuration.

4 hrs

Level 6Intermediate

Data Mining & Feature Engineering

JSX, props, state, component lifecycle, synthetic events, and controlled inputs.

5 hrs

Level 7Intermediate

Statistical Inference, Hypothesis Testing & Experimental Design

useEffect, useRef, useMemo, useCallback, custom hooks, and memory leak prevention.

6 hrs

Level 8Intermediate

Regression, Classification & Predictive Modeling

Prop drilling solutions, Context API, Redux Toolkit / Zustand, and persistent state.

3 hrs

Level 9Intermediate

Time Series Analysis & Forecasting

React Router, URL params, nested layouts, protected routes, and lazy loading pages.

4 hrs

Level 10Intermediate

Machine Learning Pipelines & Model Validation

Tailwind utility workflow, custom theme config, CSS modules, design tokens, and CSS-in-JS.

5 hrs

Level 11Advanced

Data Visualization & Dashboards (Shiny, Plotly, Tableau)

React Hook Form, Zod schemas, complex form state, field validation, and error feedback.

6 hrs

Level 12Advanced

Big Data: Spark, Data Lakes & Distributed Processing

TanStack Query (React Query), caching, optimistic updates, invalidation, and SWR.

3 hrs

Level 13Advanced

Data Engineering: ETL, Pipelines & Orchestration

LCP, CLS, INP, bundle optimization, dynamic imports, image formats, and lighthouse profiling.

4 hrs

Level 14Advanced

A/B Testing & Causal Inference for Product Decisions

XSS, CSRF, CSP, CORS, SameSite cookies, JWT storage, localStorage, and IndexedDB.

5 hrs

Level 15Expert

MLOps: Model Deployment, Monitoring & Retraining

Vitest, Jest, React Testing Library, Playwright E2E, mocking network calls, and coverage.

6 hrs

Level 16Expert

Enterprise Data Science & Decision Intelligence

Module Federation, Next.js App Router SSR/SSG, ISR, Edge functions, and design systems at scale.

3 hrs