Data Science & Analytics Professional
Go from spreadsheets to statistics to SQL to machine learning: a complete, practical path into data-driven decision-making.
Module 1: Thinking Like a Data Analyst
Learn how analysts frame business problems as measurable data questions.
Module 2: Excel & Spreadsheets for Analysis
Build the spreadsheet muscle every data role still depends on.
Module 3: Statistics Fundamentals
Understand the statistical concepts that underpin every data decision.
Module 4: SQL for Data Analysis
Query relational databases to pull exactly the data you need.
Module 5: Data Cleaning & Preparation
Master the unglamorous work that determines whether any analysis can be trusted.
Module 6: Data Visualization Principles
Turn numbers into charts that communicate truth clearly and persuasively.
Module 7: Python for Data Analysis
Use Python and pandas to analyze data at a scale spreadsheets can't handle.
Module 8: Introduction to Machine Learning
Understand how machines learn patterns from data, without the hype.
Module 9: Evaluating Models & Avoiding Bias
Learn to judge whether a model is actually good, and whether it's fair.
Module 10: Storytelling with Data
Present findings so stakeholders understand and act on them.
Module 11: Building a Data Portfolio
Assemble proof-of-work projects that convince employers you can do the job.
Module 12: Breaking Into a Data Career
Navigate the real job market for data analysts and junior data scientists.
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