Data Science Academy
Develop the complete ability to work with data—from asking the right question and preparing information to building models, communicating results, and solving real-world problems.
What you will learn to do
The academy is designed around practical capability rather than memorizing isolated tools or definitions.
Ask better questions
Translate broad problems into clear, measurable analytical questions.
Prepare reliable data
Inspect, clean, organize, validate, and document datasets before analysis.
Build useful analysis
Use statistics, visualization, programming, and modeling to find meaningful patterns.
Explain the meaning
Communicate findings, uncertainty, limitations, and practical implications clearly.
Data Science Academy roadmap
The roadmap progresses from understanding data to completing integrated, real-world projects.
Foundations
Understanding data and problems
Learn what data science is, how analytical questions are formed, and how data represents real people, events, systems, and processes.
- Data science workflow
- Problem definition
- Data types
- Measurement
- Data ethics
Statistics
Reasoning with uncertainty
Develop the statistical foundation needed to describe data, understand variation, test ideas, and interpret evidence.
- Descriptive statistics
- Probability
- Sampling
- Confidence intervals
- Hypothesis testing
SQL
Working with structured data
Learn to retrieve, join, summarize, filter, and validate data stored in relational databases.
- SELECT queries
- Filtering
- Aggregation
- Joins
- Data quality checks
Python
Programming for analysis
Use Python to automate repetitive work, manipulate data, perform analysis, and create reproducible workflows.
- Python foundations
- NumPy
- Pandas
- Data cleaning
- Reusable analysis
Visualization
Exploring and communicating data
Build visualizations and dashboards that clarify patterns, comparisons, relationships, trends, and uncertainty.
- Chart selection
- Exploratory analysis
- Dashboard design
- Data storytelling
- Responsible visualization
Machine Learning
Building predictive models
Learn how models are trained, evaluated, compared, interpreted, and applied without confusing prediction with certainty.
- Supervised learning
- Unsupervised learning
- Model evaluation
- Feature engineering
- Interpretability
Applied Work
Solving domain-specific problems
Apply the complete workflow to areas such as healthcare, business, operations, public data, research, and social impact.
- Healthcare analytics
- Business analytics
- Research workflows
- Decision support
- Responsible deployment
Capstone
Completing an end-to-end project
Define a problem, obtain and prepare data, conduct the analysis, validate the result, explain limitations, and present the work as a professional portfolio project.
- Project proposal
- Data documentation
- Analysis and modeling
- Validation
- Final presentation
Learn by solving real problems
Projects will connect technical skills to decisions, outcomes, and meaningful questions.
Explore a public dataset
Clean and summarize a dataset, identify important patterns, and explain what the data can and cannot tell us.
Project guide coming soonBuild an analytical dashboard
Create a dashboard that helps a user understand trends, comparisons, performance measures, and areas requiring attention.
Project guide coming soonDevelop a decision-support model
Build and evaluate a model, document uncertainty and limitations, and explain how it could responsibly support human decisions.
Project guide coming soonHow each level will work
Every stage will connect knowledge, application, reflection, and communication.
Learn
Understand the concept, purpose, assumptions, and practical use.
Practice
Apply the concept through exercises and focused examples.
Build
Combine skills in projects based on meaningful problems.
Explain
Communicate the result, evidence, uncertainty, and limitations.
Begin with the available learning resources
The full academy curriculum will be developed progressively. Current courses in SQL, machine learning, visualization, and related subjects can support your foundation today.
Browse current courses