40 Courses and Certifications

Free Statistics Courses & Certifications

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Skills
Probability and Statistics II Random Variables-Great Expectations to Bell Curves

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Certificate

Probability and Statistics II Random Variables – Great Expectations to Bell Curves

The Probability and Statistics II: Random Variables – Great Expectations to Bell Curves program is an online and self-paced course where the candidates can feel free to take the course at any time through devices with a good internet connection. The basic knowledge required for the random variables is also offered as Probability and Statistics II: Random Variables –Great Expectations to Bell Curves certification syllabus and materials to the students who join this course.

This is an intermediate-level course that teaches them the concepts of continuous and discrete random variables. The topics include variance, joint random variables, expected value, bivariate random variables, univariate random variables; functions of random variables, and moment-generating function are covered in this course. 

The Probability and Statistics II: Random Variables –Great Expectations to Bell Curves certification consisting of the institution logo and the signature of the instructors from Georgia Tech is given to the candidates who complete the course. Learners who joined the course in the verified track will be given a shareable certificate which can be shared with platforms like LinkedIn and added to the resume to get more career opportunities. Those who choose to audit for free will be given only a limited duration of access. 

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4 Weeks
Intermediate
Free
Skills Covered:
Statistical skills
Probability and Statistics IV Confidence Intervals and Hypothesis Tests

Offered by

Certificate

Probability and Statistics IV Confidence Intervals and Hypothesis Tests

The Probability and Statistics IV: Confidence Intervals and Hypothesis tests certification course is supported by GTx and comprises the two most important methodologies used in Statistics: confidence intervals and hypothesis testing. This intermediate course is easy to learn and interesting.

By pursuing this probability and Statistics IV: Confidence Intervals and Hypothesis tests online course, candidates can solve basic probabilistic equations and can use them in their daily lives. Hypothesis testing allows them to either support, or oppose the proposed hypothesis and its validity, including the strength of the classroom, or test results of drugs. With these results, technical errors can be rectified by applying formulas. 

In this Probability and Statistics IV: Confidence Intervals and Hypothesis tests program, the candidates will probability distributions, design tests, interpret the hypothesis, and calculate confidence intervals for different probability parameters. An official certificate signed by the instructor with the institute’s logo will be issued after completion of the course. Applicants can add this certificate to their CV and submit it directly on platforms like LinkedIn, Upwork, and Fiver, for job applications. The learners can enrol in the programme either by paying the fee (verified) or free cost. In the free mode, the learners can access the programme for a limited period whereas in the paid mode, the learners will have unlimited access and a certificate of completion. 

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4 Weeks
Intermediate
Free
Skills Covered:
Statistical skills

Offered by

SNU via Edx
Certificate

Introductory Statistics: Analyzing Data Using Graphs and Statistics

The students will be taught the rudimentary concepts and basic statistical theories along with the many applications of statistics in real life. Designed both for experienced professionals and students the techniques involved in evaluating theories, testing and ideas to unravel the truth will be covered in the Introductory Statistics: Analyzing Data Using Graphs and Statistics certification course.

The programme will teach the students the data and statistical concepts and hence allow the participants to analyze the given data with the help of graphs. The syllabus involves- histograms, standard deviation, correlation, and error for regression among many other topics.  The methods using “approximation” will also be covered by the students for solving the problems. The four-week Introductory Statistics: Analyzing Data Using Graphs and Statistics online course will thus help the participants to easily arrange data and also distribute the given numerical data into simplified methods. The self-paced course has two enrollment options; verified and audit. In the verified track, the leaners will be given unlimited access whereas, in the audit track, they will be provided with limited access to the programme. 

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4 Weeks
Beginner
Free
Brochure
Skills Covered:
Statistical skills
Introduction to Probability and Statistics

Offered by

Certificate

Introduction to Probability and Statistics

The Introduction to Probability and Statistics online course is essentially an introductory or prerequisite course in probability and statistics. It is also an NPTEL online course comprising around 8-10 hours of content for learning, covered over four weeks of video lectures.

As such, the Introduction to Probability and Statistics certification course will prepare you to take on a more advanced study of probability and statistics. The course will begin by defining data and then slowly presenting the various ways of classifying data. Aspects of numerical and categorical data will be of primary focus.

Thus, around 10-12 core topics of both probability and statistics will be broadly covered in the Introduction to Probability and Statistics certification syllabus by the course instructor, Prof. G. Srinivasan of IIT Madras. He will instruct the course modules through live lectures.

Lastly, you will learn in detail about data and measuring associations. If you are a student or manager/executive, the Introduction to Probability and Statistics course by Swayam is an ideal fit for you.

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4 Weeks
Beginner
January 23 - February,17 2022
Free
Skills Covered:
Statistical skills
Certificate

Statistics and R

The Statistics and R Online Course is centered around the basic principles of R programming language in connection with statistical concepts. The course will enable students to understand different statistical and visualization techniques. It will also help them understand the usage of the R programming language for analysing data and conducting research.

The Statistics and R Certification Syllabus are prepared under the guidance of genius minds including biologists from Harvard and from around the world who are dealing with genomic technology and scientific hypotheses. The course is instructed by Rafael Irizarry and Michael Love, Harvard University. The course would help students in achieving certification in data science with R programming.

The Statistics and R Training Course offered on the edX portal is a self-paced course taught over 4 weeks. The course will be delivered through online course materials and assessed through graded assignments and exams. After the successful completion of the course, learners will be rewarded with a shareable certificate if they have opted for the verified track. They can also join the programme free of cost and access the course materials for a limited duration. 

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4 Weeks
Intermediate
Free
Skills Covered:
Statistical skills Knowledge of Data Visualization Data science knowledge R Programming
Certificate

Statistical Inference and Modeling for High-throughput Experiments

The Statistical Inference and Modeling for High-throughput Experiments Training Course is an open online course conducted in collaboration with the edX platform and Harvard University. The course deals with different techniques of statistical inference and their applications with regard to the handling of high-throughput data.

The Statistical Inference and Modeling for High-throughput Experiments Certification Course is taught over 4 weeks with the help of online study materials. The course is instructed by Rafael Irizarry and Michael Love, renowned professors at Harvard University. The online course is assessed through graded assignments and exams.

The Statistical Inference and Modeling for High-throughput Experiments Online Course is an intermediate-level course taught in a self-paced manner. The students who enrol in the course are required to have basic knowledge of programming, statistics and linear algebra. The students will receive professional certification after successful course completion if they join the course in the verified mode. For free, they can audit it for a limited duration. 

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4 Weeks
Intermediate
Free
Skills Covered:
Analytical skills Statistical skills Data science knowledge

Offered by

SNU via Edx

Offered by

Certificate

Statistics for Data Science

The Statistics for Data Science online course offers essential instruction on fundamental statistical concepts and techniques for effective data analysis. Participants will gain proficiency in data collection, summarization, visualisation, and interpretation utilising Python libraries. In addition, the Statistics for Data Science certification by PWskills covers a wide range of statistical tests and models to derive insights and make predictions from data.

This Statistics for Data Science certification course is thoughtfully designed to cater to beginners seeking to develop their skills in data science and statistical analysis. The course extends over 1 week. Offered through PW Skills, an esteemed online learning platform, the course is just one of the many valuable courses and certifications available across various domains, including data science, machine learning, artificial intelligence, cloud computing, and more.

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7 Days
Free
Enquire
Skills Covered:
Data science knowledge Knowledge of Python

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Certificate

Introduction to Statistics

93 Hours
Free

Offered by

Certificate

Central Limit Theorem

Beginner
Free

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