Applied Data Analytics
Learners will gain practical experience in database querying and coding by using SQL and Python to organize and analyze large amounts of information. They will apply data visualization and reduction techniques to turn overwhelming datasets into clear, simplified charts that highlight the most important facts. Overall, these skills and competencies prepare learners to handle complex data and present it in a way that is easy for others to understand.
- Type Validation
- Level Foundational
- Time Weeks
- Cost Paid
Skills
Earning Criteria
-
Complete DATA 1123 Applied Data Analytics
-
Students will use different types of data analytics to solve problems with large data sets that are based on real-world data.
-
Students will use a variety of data visualization tools and coding methods to solve data reduction and data visualization problems.
-
Students will use real-world case studies to evaluate the benefits and drawbacks to using different data analytics tools for a particular problem. The class will also provide an introduction to Python and SQL coding.
-
Skills: 1) Database Querying and Coding: Students will learn how to write basic SQL and Python code to manage and analyze large datasets. 2) Data Visualization: Students will gain hands-on experience using professional tools to turn complex numbers into clear, visual charts and graphs.
-
Data Reduction: Students will learn how to simplify massive amounts of information into smaller, more manageable sets without losing the main message.
-
Competencies: 1) Critical Tool Evaluation: Students will be able to look at a problem and choose the best software or method to solve it after weighing the pros and cons. 2) Real-World Problem Solving: Graduates will be able to take messy, "real-life" data and use it to find practical solutions for business challenges. 3) Case Study Analysis: Students will be competent in reviewing historical business scenarios to identify which data strategies worked and which ones failed.