Statistics for Data Analysis
- Offered byUDACITY
Statistics for Data Analysis at UDACITY Overview
Statistics for Data Analysis
at UDACITY
Gain competitive advantage in data analysis and become a data expert capable of skillfully describing data types, measures of center and spread, and detecting outliers. Master interpreting mathematical expressions, calculating probabilities, applying Bayes Rule, and more.
Duration | 3 months |
Mode of learning | Online |
Credential | Certificate |
Statistics for Data Analysis at UDACITY Highlights
Statistics for Data Analysis
at UDACITY
- Flexible learning program
- Technical mentor support
- Practical tips and industry best practices
- Unlimited submissions and feedback loops
- Additional suggested resources to improve
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Statistics for Data Analysis at UDACITY Course details
Statistics for Data Analysis
at UDACITY
Skills you will learn
What are the course deliverables?
- Learn essential skills including describing data, understanding probability theory, designing experiments, interpreting statistical results and applying statistical models with Python. After successfully completing this Nanodegree, graduates will be armed with a robust foundation in statistical analysis that can be applied to Data Analyst, Business Analyst, and Data Scientist roles.
More about this course
- Take Udacity's Statistics for Data Analysis program and gain a robust foundation in statistical analysis that can be applied to Data Analyst, Business Analyst, and Data Scientist roles.
Statistics for Data Analysis at UDACITY Curriculum
Statistics for Data Analysis
at UDACITY
Descriptive Statistics
Probability
Experimentation
Algorithms
Capstone Project: Analyze A/B Test Results
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