This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis. You will take a hands-on approach to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts.
이 강좌에 대하여
귀하가 습득할 기술
- 5 stars72.20%
- 4 stars19.69%
- 3 stars4.24%
- 2 stars0.77%
- 1 star3.08%
STATISTICS FOR DATA SCIENCE WITH PYTHON의 최상위 리뷰
Excellent course for introduction to statistics in data science.
It is few of the Data Science courses in my learning series. This is one of the Best in Series. Thanks to the team.
Amazing course . Very easy to follow . Definitely improved on my python skills . Would 100% recommend .
One of the best course I have taken online. Way of teaching was outstanding.
Data Science Fundamentals with Python and SQL 특화 과정 정보
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
Is financial aid available?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.