FeaturedUdemy
Introduction to Statistics in Python
4.8(8,362)192k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
Python is the premier programming language for data science and statistical computing. This intermediate course teaches you how to compute summary statistics, model probability distributions, quantify correlations, and perform hypothesis testing using Python libraries like pandas, SciPy, and NumPy.
Who It's For
Data analysts and Python programmers who want to implement statistical methods and exploratory data analysis programmatically in Python.
Key Takeaways
- Summary Statistics in Python: Compute measures of center and spread using pandas and NumPy methods.
- Probability & Random Variables: Simulate probability distributions (binomial, normal, Poisson) to solve practical business questions.
- Correlation & Scatterplots: Measure linear relationships between variables and visualize correlations using scatter plots.
- Hypothesis Testing & Study Design: Conduct statistical studies and compute p-values with SciPy to evaluate data hypotheses.
About this course
Statistics is the study of how to collect, analyze, and draw conclusions from data. It’s a hugely valuable tool that you can use to bring the future into focus and infer the answer to tons of questions. For example, what is the likelihood of someone purchasing your product, how many calls will your support team receive, and how many jeans sizes should you manufacture to fit 95% of the population? In this course, you'll discover how to answer questions like these as you grow your statistical skills and learn how to calculate averages, use scatterplots to show the relationship between numeric values, and calculate correlation. You'll also tackle probability, the backbone of statistical reasoning, and learn how to use Python to conduct a well-designed study to draw your own conclusions from data.
The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
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