4.8 (359 reviews)
- Beginner friendly
- 9 months (10 hrs/wk)
- Self paced
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Otávio Silveira
Data Analyst @ HortifrutiPath overview
Probability and statistics are critical in data science. They allow us to gather insights from data and determine whether what we’re seeing is meaningful. Using statistics, we can make educated assumptions and forecasts based on real-world data.
This skill path is ideal for those who’d like to develop a skill that they can use on the job, for future career growth, or for fun!
Learn probability and statistics for data science all at your own pace and from the comfort of your browser.
- Discover how to summarize a distribution’s measures of central tendency and variability
- Learn the fundamentals of probability and how to use them for analysis
- Make forecasts based on previous trends or patterns in the data
Key skills
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