Data Analytics and Visualization
In this course you will analyze and visualize data utilizing a number of leading analytics/visualization software options, both proprietary and open-source.
Andrew Davis
- Instructor
Offered by
Offered by
Description
Technology and the data that it both collects and makes accessible is now interwoven with all types of businesses.
The era of “big data” has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Analyzing data to find issues, insights, and opportunities is now a critical part of many job roles. Beyond the analysis, it is imperative to effectively present and communicate findings in visually compelling ways.
In this course you will analyze and visualize data utilizing a number of leading analytics/visualization software options, both proprietary and open-source.
These tools can connect to a wide range of data sources, perform robust data analysis, and create diverse and impactful data-backed visualizations showing insights and trends. Learn to take a seemingly complex business problem and perform the procedures for complete statistical analysis, utilizing all software at your disposal, to address issues such as best data sources, database maintenance, what are the appropriate analytics/visualization tools for this problem, and which format best produces desired results for stakeholders.
Explore how to turn analyzed data into presentations necessary for leadership to make strategic decisions.
- Online
- Intakes: On Demand
What you will Learn
- Data analytics
- Data visualization
- Business intelligence
- Data-driven decision-making
- Statistical software applications
- Proprietary
- Minitab
- Tableau
- Microsoft Excel
- Open-Source/Freeware
- RStudio
- Google Data Studio
- Google Sheets
- Familiar with the basics of data analytics but intend to expand their
skill sets to include advanced statistical analyses, data visualization, and data management. - Analysts who wish to broaden their abilities.
- Managers who require a foundational knowledge of how to best employ data
analytics and visualization within their organizations. - Interested in demonstrations of leading statistical
software packages, both proprietary and open-source.
Meet your Instructor
Andrew Davis earned a Bachelor of Science in Pure Mathematics from The University of Alabama and a Master of Science in Industrial and Systems Engineering from The University of Alabama in Huntsville.
He is currently working on his doctorate in the area of statistical modeling. In addition, he works as a statistician in the UAH Systems Management and Production Center on projects intended to promote engineering education in rural areas