Free Statistics Courses & Certifications

The Preparing for the AP* Statistics Exam course aims to introduce its students to the important concepts and tools for data collection and analysis. Four main concepts would be dealt with here that is, exploring data, sampling and experimentation, pattern anticipation, and statistical inference. It is an introductory-level course, and you need to have mathematical intuition and quantitative reasoning ability to take admission here. 

The Tennessee Board of Regents is offering the AP* Statistics Exam preparation programme by edX. After completion, you will learn all the knowledge and skills required that will help you prepare for an advanced placement statistics exam. This course falls under the Data Analysis and Statistics subject. 

The edX AP* Statistics Exam preparation course is taught online via video lectures. It has a duration of about thirty-five weeks, and you can complete it at your own pace. Participants will be able to access all the course material completely free of cost. And when you pay the certification fee, you will also become eligible for certification. 

Swayam's Business Statistics course is hugely relevant in this era as statistics play a vital role in the business world, and helps in the quick and accurate decision-making process. To that end, this online course covers descriptive statistics, statistical study, probability, linear regression, and correlation in depth. 

Business Statistics online course is a 12-week online course available at the undergraduate level. By the end of the course, you can become familiar with the concepts of statistics, data collection, and data analysis tools. Additionally, the online course will make you adept at data analysis and interpretation, as well as the concepts of statistics. 

Furthermore, the Business Statistics certification course provides numerous employment opportunities in lucrative roles like data analysts and consultants. This comprehensive programme allows you to hone your decision-making skills in the corporate sector and gives you essential tools essential for data analysis. Take this course to earn a certificate and further your career with a strong professional portfolio.

Swayam’s upcoming MCO-03: Research Methodology and Statistical Analysis online course teaches its applicants about research’s most significant aspect - research methodology. This extensive programme falls under the ‘Commerce’ purview and aims to help researchers gain the necessary skills to establish highly-efficient methodologies for their research studies. Through online videos, students can learn at a self-directed pace as well.

The MCO-03: Research Methodology and Statistical Analysis certification syllabus is a thorough curation by the Indira Gandhi National Open University. It covers numerous vital topics, including business research, random sampling, comparative scaling techniques, research design, variance, correlation, data processing, non-random sampling, Bayes’ Theorem, scatters plots, etc. It also explains research report writing, critical terminologies, and interpreting statistical data.

Spread across 16 weeks, the MCO-03: Research Methodology and Statistical Analysis training is entirely online, delivered by the University’s skilled faculty, Dr Subodh Kesharwani. The curriculum is set at the postgraduate level, teaching beginners about research skills and helping existing research improve their research quality.

The Foundations of Mathematical Statistics certification course makes provision for the students to work on the aspects of mathematics and its related application in a professional way and as per industrial standards. The Foundations of Mathematical Statistics syllabus are inevitable for any applicants who want to get their foundation strengthened in statistical concepts.  

The content of the course starts with the rudimentary meaning and the scope of statics and goes on to cover topics like- diagrams, tabulations, correlation, graphs, central tendency, kurtosis, dispersion, regression, skewness, probability, and others in an elaborate and detailed manner. Foundations of Mathematical Statistics by Swayam serves as a foundation course for all the students who want to secure a career in the genre of statistics and its related subjects. The course will help the students learn about the random variable and its applications and also make the students aware of the data collection methods.

Data analytics has changed the way organizations and businesses run today. Extracting meaningful information from massive data has become possible, which further helps in decision-making and solving practical problems. Applied Multivariate Statistical Modeling Training offered by Swayam in association with IIT Kharagpur provides a fundamental understanding of data analytics and multivariate data. 

The Applied Multivariate Statistical Modeling certification course by Swayam aims to help students build their confidence in multivariate data interpretation. The online learning program will help students identify real-life problems and describe them to collect relevant data. It is a postgraduate-level course covering the core concepts of statistical modeling of multivariate data. 

The Applied Multivariate Statistical Modeling Certification Syllabus includes various assignments that will help you understand and apply the skills you learn simultaneously. Moreover, the average assignment score, along with the final assessment marks, will help determine whether you will get a digital course certificate or not.

In recent years, the use of data has increased significantly in the fields of finance, economics, science, and humanities. The Applied Statistics and Econometrics online course offered by Swayam has been carefully curated by the faculty at IIT Kanpur. The program runs for 12 weeks and explores the field of statistics and moves on to the concept of linear regression and causal inference. 

Furthermore, the Applied Statistics and Econometrics certification course will teach you how to perform quantitative analysis of social sciences data. The program is suitable for both undergraduate and postgraduate students, and the curriculum uses examples from various fields of social science that will benefit students from different streams.

The Applied Statistics and Econometrics certification syllabus includes tutorials, regular assignments, and software sessions to help you thoroughly understand the course material. What’s more, you can earn an e-certificate on completion by qualifying in a proctored exam after finishing the program.

A time series refers to an ordered collection of data usually in time, an essential concept in multiple disciplines including engineering, medical, business, economics etc. As a subject, time-series has fascinated data analysts in the field of humanities, medicine, engineering, and climatology, among others. The Applied Time-Series Analysis online course by Swayam is a comprehensive programme offered by IIT Madras. 

The Applied Time-Series Analysis Certification Syllabus will explore topics such as linear random processes, stationarity and ergodicity, parameter estimation methods and more. This is 12 weeks course and is targeted at students and working professionals from related fields. 

The time series concept is foundational for researchers interested in the development of models from simple and multivariate data. The Applied Time-Series Analysis Certification Course is a postgraduate programme and is free to enrol students interested in the subject. After finishing the course, you can earn a certificate by qualifying for the proctored exam.

Developed by IIT Bombay, the Introduction to Stochastic Processes by Swayam is an AICTE-approved Faculty Development Programme. Students will gain the necessary skills to design models and assess the effects of any event. Based on Management studies, this elective course is open for students from all disciplines. 

The Introduction to Stochastic Processes certification syllabus is spread across 12 weeks. During this, students will learn Poisson processes, Continuous and Discrete Markov Chains, variance, random variables, probability, and Bayes rule. Moreover, it is provided at a postgraduate level. Book references and video lectures are also provided to help students learn effectively.

Candidates can earn the Introduction to Stochastic Processes certification by paying a nominal certification fee and appearing for the end-term certification exam conducted by Swayam. Additionally, they must complete all the 12 assignments given throughout the course duration. 

Moreover, several companies across sectors use Stochastic Processes in their operations. As such, they readily employ individuals certified through the Introduction to Stochastic Processes program. 

The Probability And Statistics certification course explores statistics and probability with broad applicability across disciplines, including physical sciences, engineering, economics, and social sciences. The course covers essential statistical reasoning and methodology. It strikes a balance between providing a solid conceptual understanding and delving into advanced theoretical aspects.

The Probability And Statistics certification by Swayam is industry-relevant, particularly for those aspiring to work in business analytics, banking, finance, insurance, machine learning, and data mining. By combining theoretical knowledge with practical application through examples and problem-solving, students gain indispensable skills for various career paths.

Also Read: Online Statistics Certification Courses

Statistical Learning  with R course is devoted to polishing the participant's skills in data science and statistical modeling. It is an introductory level course. It is mostly practice-based and equipped with both traditional and new methods of data analysis and statistics. Here, the course emphasis is on classification methods and regression. This Statistical Learning  with R certification doesn’t rely on advanced and complex mathematical formulas. Introduction to all modern elements of data analysis is given. The techniques on how to use R is also shown in the Statistical Learning training.

The practical implications of this program are one of the main statistical learning benefits.  The Statistical Learning  with R training is structured to meet the requirements of the professionals from this field. For computing, the course uses R. There are Quizzes in the prescribed Statistical Learning certification syllabus. The quizzes will be graded and hold value to earn the certificate. There is a provision to gain a 90 % discounted offer through edX’s financial assistance scheme.

On successful completion, the learners will gain the certificate for the Statistical Learning certification. The certificate can be shared in CV or resume and it can also be uploaded on Linkedin. This certificate is verified by Stanford University’s StanfordOnline institution. There are two pathways in which enrolling in this course of edX is possible. One is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

The Intro to Descriptive Statistics course is a beginner-level programme. It is entirely an online course provided through the website of Udacity. Candidates who take admission in the programme will be introduced to descriptive statistics and its different aspects. Participants who are interested in the Intro to Descriptive Statistic Course can get enrolled without paying any amount since the cost of the course is zero. Students will be able to access the study material of the course at any time since the course regulates on a self-paced basis. The Intro to Descriptive Statistics syllabus includes seven chapters and can be finished in approximately two months. There are no restrictions or deadlines regarding any timings or attendance percentage, and participants can freely access the course whenever they want.

The Biostatistics and Design of Experiments programme is an 8-week elective programme. The course is curated by IIT Madras and is offered at the UG and PG level. The programme falls under the category of Biological Sciences and Bioengineering. It is AITCE approved FDP course with plenty of industry support from particular Biotechnology, biopharma and agriculture companies. 

Professor Mukesh Doble teaches the Biostatistics and Design of Experiments course by Swayam. It is focussed on the various applications of statistics in pharmacy, medicine and a number of other topics in Biology. The course syllabus covers some essential topics in Statistics such as sampling and distribution of data, regression analysis, tests of significance, design of experiments, etc. 

The Biostatistics and Design of Experiments training is relevant for all students pursuing either a UG/PG degree in Biotechnology or its allied fields. The course lectures are provided online via video tutorials, and internal assignments are also offered for self-assessment. If the candidate wants to get certified, they can also sit for the certification examination at the end of the course.

Handling Large-Scale Unit Level Data Using STATA certification course has been designed with the objective of giving the candidates the exposure on various techniques used in complex database analysis. The different software has been covered so that the candidates do not have any issue in understanding them.

The module has been designed with the objective of covering all the basic forms of data. The candidates will have the opportunity of working on the real life data, so they know how to handle the data in various industries. The candidates can reach out to the experts for any kind of assistance during the course.

The Handling Large-Scale Unit Level Data Using STATA online course also offers certification for the candidates taking the end term exam. The learning process will be based on the basis of real implementations. Both quantitative as well as qualitative analysis has been covered for a better enhancement of the skills of aspirants.

Descriptive statistics extracts the information hidden under any data. In the Descriptive Statistics with R Software programme, you will learn about descriptive statistics' various tools. You will be using the open-source R software to learn these tools based on mathematical and statistical functions. This course has been designed for undergraduate students studying mathematics and science or humanities students with a background in statistics. If you are a professional working in analytics, you will find this course useful.

Descriptive Statistics with R Software certification is an online course of eight-week duration in Mathematics. It is an elective undergraduate/postgraduate course taught by the faculty of IIT Kanpur and NIT Sikkim. There will be assignments and practical usage of the software to break the monotony of theoretical lectures. All the course material will be available for free on the online learning portal Swayam.

Descriptive Statistics with R Software also offers certification. For this, you must submit all assignments and appear for an offline exam that is conducted after the course conclusion.

The Indian Institute of Technology, Delhi, has developed the Statistical Inference program, an online course under the mathematics course category. The instructors teach this core course at an undergraduate and postgraduate level. The eight-week FDP training is approved by AICTE and permits credit transfer as well.

During the Statistical Inference training, candidates will learn about the fundamental knowledge related to statistical inference and probability. The course aims at providing in-depth information about the theory of estimation and testing hypotheses. Candidates will learn the course content through the theoretical and practical aspects by solving complex problems.

The Statistical Inference online course is valuable for practitioners or students in statistics at a UG or PG level. The training will act as a foundation course for the students working on areas related to machine learning. Candidates need to have a general knowledge of probability, data collection, and descriptive statistics to understand the content without any difficulty.

EdX’s course on Statistics for business-I is ideal for the aspirants who want to build a fruitful career in business management and who wish to learn deeply about the concepts of business statistics. It is provided to the students in association with the Indian Institute of Management in Bangalore (IIMB) and the classes are taken by their experienced faculty, Shankar Venkatgiri. This intermediate course in business statistics is the first course in the series of 4-part courses on Business statistics. The course can be switched to a verified account with access to complete benefits like full-time access to the course, certification, and graded assessments.

This short program mainly focuses on giving a detailed Introduction and in-depth study on Business statistics to the students in which it is taught how data is examined from different perspectives and how it's applied to make better business decisions along with key concepts like descriptive statistics, summarizing variables, visualization techniques, numerical data and so on. 

The most important aspect of the business is Statistics. The Statistics for Business - II is designed by professionals which covers various topics and strategies of Business Statistics.

This course focuses on probability which is useful to follow a specified data distribution. Students represent real-life events using variables such as Normal, Binomial, and Poisson. They learn how to counterfeit data that is distributed using these variables. The duration of the course is 7 weeks which is divided into 2-4 hours per week. After the completion of the course, edX provides a certificate of completion. It is a self-paced course that lets the students study at their own comfortable pace. EdX brings this course in association with IIM Bangalore which is one of the most prestigious institutions in India. It is a bilingual course such that it teaches in both English and Hindi. It also provides video transcripts in both English and Hindi so that students won’t face any difficulty in following the lectures. 

Overall, this course nurtures the students and transform them into professionals in Business Statistics.  

Bayesian Statistics certification is a 7-week long programme where all the participants enrolling must devote approximately 34 hours of their time. This certification course is available on the Coursera platform but has been designed by Duke University. Also, this course is part 4 of 5 in the specialization of Statistics with R Specialization offering a free trial that is valid for 7 whole days. Whoever the interested participants must make sure that they have some kind of prior knowledge of what all is taught in the precious course parts of the specialization.

The Bayesian Statistics training will be responsible for introducing Bayesian comparisons related to means, credible regions, and Bayesian regression using multiple models to the participants. The course finally teaches all the applicants to learn the application of Bayesian methods to several practical issues and implementation in R programming. Apart from providing a certificate that is shareable, the candidates will be able to change the course timings with respect to their convenient schedules.

In Non-Parametric Statistical Inference, as opposed to Parametric Statistical Inference, we do not know the underlying distribution. Parametric Inference also uses samples from the population to estimate the distribution parameters. However, the assumptions of Parametric Inference, such as normality, independence, and homoscedasticity may not always be accurate. 

In this case, non-parametric information is used. The Course in Non-Parametric Statistical Inference by Swayam will help the candidates to fill in the gaps of parametric statistics as non-parametric methods can be used for different inferencing purposes. The simple non-parametric techniques can help you to establish a hypothesis.  

The Non-Parametric Statistical Inference online programme has several practical applications in real life. This is an ongoing, undergraduate-level course that spans four weeks. The course will be taught by a faculty member from the esteemed Mathematics Department of IIT, Delhi. Moreover, this course is entirely free of cost, and the paid certificate is optional. 

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.

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. 

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. 

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.

Also read:

• Statistics Certification Courses
• Data Science With R And Python Certification Courses

Learn how to make decisions harnessing the power of data and statistics with Intro to Statistics by Udacity. Besides, the training is free of cost.

Statistics is all about extracting meaningful insights from data. In this Intro to Statistics course, you will get acquainted with several techniques to visualise relationships in data. You will also explore systematic techniques to understand these relationships using mathematics.

The Intro to Statistics course syllabus is extensive and covers probability, estimation, inference, regression, outliers, and normal distribution, and more. Moreover, in the programme, taught by industry professionals, you learn by doing exercises and going through instructor-led videos.

The Intro to Statistics training features rich learning content, self-paced material, and interactive quizzes. What’s more, for enrolment, you don’t need any previous expertise in statistics. However, if you are familiar with algebra, like knowing how to calculate the median, mean, and mode of a set of numbers, it will help you make the most of the programme.

The Intro to Inferential Statistics online course is free of cost programme which is brought to the students by Udacity. Candidates who enrol on the course will be able to pursue this programme in online mode. 

The Intro to Inferential Statistics syllabus includes seven chapters along with various exercises and interactive quizzes and students will be able to complete the entire curriculum in the time period of two months. The course is a self-paced programme and can be pursued without any time limitations according to the schedule of the participants. Students can access the Intro to Inferential Statistics Course at any time depending upon their requirements.