Data Analytics

In this course, students will develop skills in data cleaning, statistical analysis, and data visualization using tools like Excel, SQL, Power BI, and Python. They will learn how to interpret datasets, uncover insights, and support data-driven decision-making. Emphasis is placed on real-world problem-solving, dashboard creation, and communicating data through compelling visuals and reports.

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Starts May 25

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What you’ll learn

Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.

Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau).

Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming.

Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms.

Skills you’ll gain

Presentations Tableau Software Data Ethics Sampling (Statistics) Data Visualization Data Analysis Interactive Data Visualization Data Cleansing Data Validation Spreadsheet Software Stakeholder Communications Interviewing Skills