Fundamentals
Completed by Bill Bickel on September 26, 2025
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Badge ID: jGAiKJGpQYugIiiRqTGLJQ
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Get the basics of Analytics and Data Science in these introductory courses
Learning objectives
- Develop and test hypotheses using statistical software packages like SAS or Python to perform analyses such as ANOVA, Chi-Square, and Pearson correlation.
- Design and implement a simple relational database system using SQL, including creating tables, manipulating records, and modeling relationships.
- Utilize data analysis tools to gather, clean, analyze, and visualize data, effectively communicating insights through dashboards and visualizations.
Skills learned
- Descriptive Statistics
- Relational Databases
- Correlation Analysis
- Regression Analysis
- Statistical Analysis
- Statistical Hypothesis Testing
- Peer Review
- Query Languages
- Statistical Methods
- Analytical Skills
- Apache Hive
- Apache Hadoop
- Apache Spark
- Data Integrity
- Research Reports
- Python Programming
- Data Presentation
- Database Management Systems
- Data Visualization Software
- Big Data
- Data Collection
- Software Installation
- Data Cleansing
- Data Manipulation
- Data Mart
- Graphing
- NoSQL
- Computer Programming
- Database Design
- Development Environment
- Statistics
- Databases
- SQL
- Data Management
- Probability & Statistics
- Skills section collapsed. Showing 9 of 35 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.