CompTIA Data+ (DA0-001) Cert Prep: Domain 3.0 Data Analysis
1hBeginner2021-12-22
Authors
Mike Chapple
Teaching Professor at the University of Notre Dame
Course details
Are you interested in pursuing a certification in data analytics? This course—the third in a six-part certification prep series—is designed specifically for newcomers to the field who are seeking their CompTIA Data+ certification. Join instructor Mike Chapple as he takes you through various data analysis techniques and helps you prepare for the Data+ exam.
Learn more about all the material on domain three of the test. Get the skills you need to excel in sections on descriptive statistics, inferential statistics, analytic techniques, and common analytic tools. Mike covers not only what you need to know, but also how to put your knowledge into practice down the road. Upon completing this course, you’ll be better prepared to tackle the data analysis domain of the CompTIA Data+ exam.
Learn more about all the material on domain three of the test. Get the skills you need to excel in sections on descriptive statistics, inferential statistics, analytic techniques, and common analytic tools. Mike covers not only what you need to know, but also how to put your knowledge into practice down the road. Upon completing this course, you’ll be better prepared to tackle the data analysis domain of the CompTIA Data+ exam.
Skills covered
Data AnalysisCert PrepData ScienceBusiness Analysis and StrategyBusiness Software and Tools
Concepts
Introduction
- Data analysis
- What you need to know
Descriptive Statistics
- What is statistics
- Mean, median, and mode
- Range and distribution
- Variance and standard deviation
- Z-scores
- Percentages
Inferential Statistics
- Confidence intervals
- Hypothesis testing
- Statistical tests
- Correlation
- Linear regression
Analytic Techniques
- Analyzing a business problem
- Exploratory data analysis
- Analysis types
Analytic Tools
- Analytic tools
- Microsoft Excel
- Programming languages
- Structured Query Language (SQL)
- Statistics packages
- Machine learning tools
- Analytics suites
Conclusion
- Continuing your studies