This Specialization introduces the foundations of data analytics and visualization, starting with definitions, roles, big data concepts, data lakes, and data science fundamentals. Learners explore storytelling with data and build core Power BI skills, including data preparation, model design, and basic and complex visualizations.
The second course deepens visualization expertise with Tableau, covering data connections, Tableau Prep workflows, advanced preparation, desktop navigation, and visualization techniques, culminating in effective storytelling and cloud collaboration.
The third course applies analytics concepts through SQL, R, and Python, emphasizing query design, data manipulation, statistical functions, graphical representation, and visualization with ggplot2 and Matplotlib. The sequence reinforces cumulative skills across platforms for comprehensive applied competence. This Specialization is based on the book Data Analytics & Visualization All-in-One For Dummies, by Jack Hyman
Applied Learning Project
Applied practice activities integrated throughout the courses provide structured opportunities for learners to apply key concepts and methods in realistic contexts. Through guided analysis, reflection, and skill application, participants engage with authentic challenges aligned to the subject matter and develop practical competence in solving domain-relevant problems.
