Student consultants are equipped to utilize their technical and analytical skills to bolster data analytics teams. Students who are adept in Python basics will learn data analytics spanning five modules that includes Python, SQL, statistics, data visualization, and a capstone project. 

The first module concentrates on the foundations of data analytics and Python basics, providing students with a solid base to handle data and operate Python efficiently. The second module extends into data analytics in Python and SQL, allowing students to process and analyze data from multiple sources effectively. The third module covers statistics, equipping students with the ability to uncover patterns and explain analyses. The fourth module focuses on data visualization, where students learn to create compelling visualizations that effectively communicate their analysis and insights. The final module allows students to apply their accumulated knowledge in a capstone project.

Over the course of the semester, learners will undertake one main project, maintaining contact with you through virtual communication tools as required.

Deliverables will depend on the specific project scope. Some Example Project deliverables include, but are not limited to:

Presentations on data insights and visualizations.

Statistical analysis reports on data sets.

Python and SQL code for data processing and analytics.

Data visualizations created using Python libraries or Tableau.