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It is incredibly difficult to meet the requirements for students with so many Probability & Statistics courses. Learners often ask if each scenario has a course in Probability & Statistics. The answer is YES. Below you can find popular courses. Registration for the correct course is an important element in your career development. In this article, experts selected the best courses in Probability & Statistics in 2023.
Highlighting the best-known courses in all categories is the main objective.
Based on your preferences, select one that best suits your needs. But let us look at the best courses on the market for Probability & Statistics.
Table of Contents
Duration: 7 months
Rating : 4.7 out of 5
Demystify R data, compile analytical reports, learn Bayesian statistical inference and model in this Duke University program. You will also learn to report statistical results, review data-based statements, evaluate decisions based on data and view data with R. The course is created and taught by the Associate Practice Professor, Mine Çetinkaya-Rundel, David Banks, Professor of Practice, Colin Rundel, Assistant Professor of Practice and Professor, Merlise A Clyde. When you want to study probability and statistics with R, this is an excellent alternative.
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Duration: 2 to 16 weeks per course, 10 to 14 hours per week, per course
Rating : 4.6 out of 5
This MicroMaster Program provides four online courses that will direct you to know the basic skills needed to understand the techniques and resources used in data science and learn from machine learning and data analytics. Beginning with the fundamental principles of probability and statistics, prior to actually moving on to data analytics and learning machine algorithms. The calculus at college level, mathematical reasoning and python programming skills are advisable to make the most of this certification. You are eligible to submit to specific data science profiles at the end of the program.
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Duration: 9 months, 6 hours per week
Rating : 4.7 out of 5
You will learn to recognize and ask thoughtful questions, evaluate data sets, and interpret findings correctly in order to take rational and evidence-based actions in this online statistics training course. The lessons discuss the research methods, design and statistical analysis for social science-based research. In addition, the final project will allow you to apply your acquired knowledge in lessons to creating your own questions, gathering data, analysis and interpreting using statistical methods. When the certification is complete, you are confident that you will identify more complex research problems and seek answers.
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Rating : 4.5 out of 5
There is a detailed course covering all different aspects of data science. The statistics part of this program helps you learn the statistical conclusions of the data drawing process. It covers all broad theories (frequentists, bayesians, probability) to infer. This is developed and taught by Biostatistics Professor Roger D. Peng; Brian Caffo, PhD Professor, Biostatistics, and Jeff Leek, PhD Associate Professor.
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Duration: 10 Hours
Rating : 4.5 out of 5
This program includes the Bayesian approach to statistics, beginning with the probability concept and moving towards data analysis. It is an intermediate specialization for individuals with basic Statistics knowledge and is taught by Herbert Lee, Professor of Applied Mathematics and Statistics.
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Duration: 5 months, 4 hours per week
Rating : 4.7 out of 5
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Duration: 30 Hours
Rating : 4.4 out of 5
George Ingersoll is the Associate Dean at the UCLA Anderson School of Management for Executive MBA Programms. This workshop has been developed to teach you probability, sampling, regression and decision analysis. This statistical tutorial is ideal for beginners and intermediate level people.
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Duration: 30 Hours
Rating : 4.8 out of 5
The second course in the series is based on the first part and lets you deepen the area. It involves more general models and programming techniques. You can know MCMC processes, R and JAGS programming language. The lesson is a combination of abstract and practical knowledge and a project follows the course bit to help you better understand.
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Duration: 5 weeks, 3 to 5 hours per week
Rating: 4.7 out of 5
This tutorial will give you how to identify the causal effects, the assumptions about your data and models, and the techniques to apply and interpret some common statistical methods. You will also have the opportunity to use these methods to explain R results. Ultimately, this curriculum shows the significance of the topics discussed in other fields of research.
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Duration: 30 Hours
Rating : 4.4 out of 5
Kirill Eremenko is an experienced data science teacher! So far, he has taught over 400,000 students and his students have an average ranking of 4.5! In this tutorial, he shows you the key stats required for a career in data science. He will help you master statistical significance, confidence intervals and a lot more.
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Duration: 5 hours
Rating : 4.5 out of 5
In this business training tailor, you learn about descriptive and inferential statistics, hypothesis testing, regression analysis and more. Know how to track various data forms, quantify core trend quantities, asymmetry and uncertainty.
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Duration: 5 hours
Rating: 4.6 out of 5
It is another addition to Codecademy Statistics courses that will expose you to NumPy – the popular Python library used to calculate can descriptive statistics without writing scratch functions. In this course, the professor will not only teach you about NumPy, but will also direct you to a Python module for numerical operations on large data volumes. Besides this, you can hear about the fundamentals of statistical distributions used to classify datasets. You may also get a certification from the Codecademy after completing the course.
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Duration: 5 hours
Rating : 4.4 out of 5
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This is the list of the 13 Best Online Probability & Statistics Courses and Tutorials of 2023. They are popular and loved by many experienced Probability & Statistics Courses learners. You will find between these courses what you need to learn in order to continue your Probability & Statistics Courses learning journey.
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