Interactive Data Visualization & Dashboards with Python

The Certificate of Open Studies (COS) in Applied Data Analytics and Visualization provides a comprehensive learning pathway covering the complete data analytics workflow with Python. From acquiring, preparing, and analyzing data to working with text, images, and time-series data, participants progressively develop the skills to extract insights, communicate findings through compelling visualizations and data storytelling, and build interactive dashboards for a wide range of professional applications.

Combining four complementary Microcredentials, the program equips participants with the technical expertise and best practices needed to tackle real-world data challenges across industries.

Acquire data from multiple sources and formats — including structured, unstructured, and time-indexed data — using NumPy and Pandas Clean complex, real-world datasets by identifying and resolving inconsistencies, outliers, and recording errors Conduct exploratory and descriptive statistical analysis to identify patterns and assess data quality Draw evidence-based conclusions from data using inferential statistics and hypothesis testing Process specialized data types — including unstructured text, digital images, and time-series sequences — using appropriate Python tools and techniques Construct static and interactive visualizations using Matplotlib, Seaborn, and Plotly to represent analytical findings effectively Present analytical insights to technical and non-technical audiences using data storytelling and reproducible reports Communicate analysis results through data storytelling, HTML reports, and web dashboards

Learning pathway consisting of 4 stackable micro-credentials

Nongraded

Professionals who want to develop comprehensive expertise in data analytics with Python. It is intended for data analysts, business analysts, researchers, engineers, scientists, software developers, and other data-driven professionals seeking to master the complete analytical workflow – from preparation and manipulation of various data types to statistical analysis, visualization, and interactive dashboards.

The program is also suitable for aspiring data analysts, early-career professionals, and career changers who wish to build practical, industry-relevant skills through a structured and progressive learning pathway.