Course description
Data Analysis and Visualization
Earn an official certificate of professional achievement from Rice University.
Reduce decision-making uncertainty with a data analysis and visualization toolkit.
Upcoming start dates
Suitability - Who should attend?
This Course Is for You If:
- You’re a functional analyst who utilizes data and analytical models to inform specific functions and business decisions.
- You’re in a data-driven, managerial position and need to learn how to leverage data and inform strategic and operational decisions.
- You want to move into an analytical role and familiarize yourself with data analysis and communicating data.
Prerequisites
This course aims to equip you with data analysis and visualization skills using sophisticated and in-demand tools such as Tableau and SQL. A basic proficiency in Excel is recommended, and while there are no prerequisites for this course, it’s recommended that students have a basic understanding of SQL before registering.
Outcome / Qualification etc.
You'll Walk Away With:
- An understanding of the fundamentals of data analysis such as advanced Excel functions, databases, and practical statistics.
- The ability to effectively visualize data using Tableau – a highly regarded visualization tool.
- The skills to pose useful business questions and communicate data insights effectively to stakeholders using data storytelling.
- Data analysis and visualization skills using sophisticated tools such as Tableau, SQL and VBA.
Training Course Content
Module 1:
Data Analysis and Visualization Tools
Explore more advanced functionalities of Excel to create multi-sheet models and understand what visualizations comprise.
Module 2:
Answering Practical Business Questions
Learn to use data to answer effective business questions in order to find data-driven solutions.
Module 3:
SQL and Relational Databases
Access central datastores to enable more comprehensive analyses.
Module 4:
Practical Statistics
Introducing a practical approach to statistics for data analysts.
Module 5:
Predictive Analytics
Conduct a regression analysis and describe the likelihood of possible outcomes.
Module 6:
Data Communication, Ethics and Regulations
Communicate your results to key stakeholders and consider the broader implications of your work.
Module 7:
Tableau and Data Storytelling
Use Tableau as a medium to communicate a cohesive data story.
Module 8:
Automating Data Analysis Tasks Using VBA
Become more effective by using automation.
Course delivery details
Duration
- 8 weeks excluding orientation
- 7–10 hours per week, entirely online