25.12.0
This website uses cookies to ensure you get the best experience on our website. Learn more

Applied Data Science: Statistics, Data Analysis, and Visualization

Having completed this comprehensive program, the student gained in-demand skills to collect, analyze, and present quantitative data with confidence. Through hands-on projects and real-world applications, they mastered essential statistical techniques such as probability, descriptive statistics, and data interpretation.

The program equipped the student to ask meaningful questions, uncover insights, and solve problems using data-driven strategies. They developed the ability to explore and visualize complex data using powerful tools like R, Tableau, and Power BI, enabling them to present findings clearly and persuasively to diverse audiences.

By earning this credential, the student demonstrated the ability to turn raw data into compelling narratives—empowering smarter decisions and measurable outcomes across any industry.

Skills / Knowledge

  • Quantitative Data Analysis – Interpreted and evaluated data sets to uncover trends and insights. Statistical Methods – Applied descriptive statistics and probability to solve real-world problems. Data Visualization – Designed compelling visuals and dashboards to communicate complex data. Tool Proficiency – Gained hands-on experience with R, Tableau, and Power BI. Data Communication – Presented data-driven findings clearly to technical and non-technical audiences.