Statistics for Everybody
3.811 hours185 learnersBeta
Dive into statistics with this course, suitable for all backgrounds, from marketers to analysts. Enhance your understanding of data description, distributions, hypothesis testing, and data relationships.
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What you'll learn
In this course, you'll learn the essentials of statistical analysis to interpret real-world data effectively. Through hands-on exercises and illustrative examples, you will:
- Study foundational concepts like probability, population vs. sample, and different data types.
- Describe data using measures like mean, median, quartiles, and standard deviation.
- Learn about distributions, covering topics such as the empirical rule, histograms, bar charts, and concepts like variance, normal distribution, and the central limit theorem.
- Use hypothesis testing techniques, including t-tests, power analysis, and tests for normality.
- Explore relationships between variables using tools like scatter plots, correlation, and mutual information, and get an introduction to network and time series analysis.
This course provides a comprehensive introduction to statistics. Ready to decode the stories data tells and make informed decisions based on numbers? Start this course to gain a deeper understanding of the math surrounding us.
Learn by doing
# 1
Apply knowledge into practice
You already know the theory. Now it's time to code like you do at work—in a professional IDE, with real project constraints, solving problems that actually matter. Welcome to software engineering as it should be.
# 2
Navigate complexity with surgical precision
Most developers waste months learning random concepts without seeing how they connect. Our interactive Knowledge Map fixes this. It shows exactly how every programming concept relates to others, helping you build a structured mental model of coding.
# 3
Copy the best. Then improve.
Here's what top engineers do that others don't: they study other people's code obsessively. When you get stuck on Hyperskill, you can explore solutions published by other developers. See their exact code. Understand their approach. Learn their tricks.
# 4
Code review that actually makes you better
We stripped code review down to what actually matters: does your solution work? Have you handled the edge cases? Is there a cleaner way to write this? Hyperskill acts like a competent reviewer who actually tests your code. Not genius-level analysis, not architecture debates — just solid feedback on making your code better.
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Your peers think Hyperskill rocks
7 months ago
Спасибо за этот курс, я приобрёл массу полезной информации. Но есть минусы, очень много мелких и не только мелких ошибок, всё по возможности комментировал и отправлял отзывы по ходу курса!
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