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.
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Habilidades que obtendrás
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars71,62 %
- 4 stars20,27 %
- 3 stars4,50 %
- 2 stars0,90 %
- 1 star2,70 %
Principales reseñas sobre STATISTICS FOR DATA SCIENCE WITH PYTHON
A very good course to clear the basics pf stat of statistics for data science
Excellent course to help clear doubts for the level of statistics needed for data science. It a great experience. well done IBM!
Great introduction to basic statistics for data science. Python specialization suits those with no experience in the language.
Excellent course with a step by step explanation and complete final assignment.
Acerca de Programa especializado: Data Science Fundamentals with Python and SQL
Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field.
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