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10 Best + Free Biostatistics Courses

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Biostatistics is the branch of statistics that usually deals with data that is relevant to live organisms. By using the tools of statistics, it becomes easier for biostatisticians to answer pressing research questions in medicine, biology, and public health. Biostatisticians through these tools can find out whether a new drug would work or not, and what causes cancer and other diseases. Similarly, how long can a person survive a certain illness?

Biostatisticians can use their quantitative skills for teaming up with experts in other fields. Be it biologists, cancer specialists, surgeons, or geneticists. Thus they play pivotal roles in designing studies and making sure that they have enough data and the right kind of information. Then they analyze, evaluate, and then interpret the results and do further research.

To learn more about biostatistics, our team at takethiscourse.net has compiled a list of the Best + Free Biostatistics Courses. This list is a combination of both free and paid courses/classes for our learners to enroll in. So, let us take a look at this list.

# Course Name University/Organization Ratings Duration
1. Biostatistics in Public Health Specialization John Hopkins University ★★★★★ 4.8 70 Hours
2. Free BioStatistics Course Doane University 80 Hours
3. Clinical Research for beginners Udemy ★★★★☆ 4.3 4.5 Hours
4. Mathematical Biostatistics Boot Camp 1 John Hopkins University ★★★★☆ 4.3 13 Hours
5. Applied Biostatistics: Methods & Applications

Harvard Catalyst

6. Biostatistics Fundamentals using Python Udemy ★★★★☆ 4.2 06 Hours
7. Biostatistics for Big Data Applications University of Texas 24 Hours
8. Doing Clinical Research: Biostatistics with the Wolfram Language University of Cape Town ★★★★★ 4.7 15 Hours
9. Introduction to Applied Biostatistics: Statistics for Medical Research Osaka University 30 Hours
10. Designing and Analyzing Clinical Trials in R datacamp 04 Hours
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best + Free Biostatistics Courses

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Biostatistics in Public Health Specialization

      • John Hopkins University via Coursera
      • 29,174+ already enrolled!
      • ★★★★★ (1,841 Ratings)

Biostatistics in Public Health Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

If you are interested in building statistical skills for biological sciences then this specialization is for you. Here you will master the tools and methods required to analyze, interpret, and communicate biostatistical data.

  • The best thing about this specialization is its focus on explaining how to calculate summary statistics from public health and biomedical data. You will be taught how to interpret written and visual presentations of statistical data.
  • This specialization is for those who wish to learn to evaluate and interpret the results of various regression methods and understand how to choose the most appropriate statistical method for answering their research question.
I am blown away by the content offered in this specialization. Each course is equally engaging and gets even more interesting as you go further. I would definitely want other learners to enroll in this specialization or at least cover some of the biostatistics courses offered by this specialization. (Anonymous Learner, ★★★★★)

Coursera Plus Courses

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Free BioStatistics Course

      • Doane University via edX
      • 23,060+ already enrolled!
      • 80 Hours of effort required!

In this “Biostatistics” course, you will be taught the skills that are deemed necessary for success in future analytical studies in Biology.

  • The reason why we chose this course is its focus on explaining how to identify the different types of data. You will learn to collect data in the best possible manner and recognize and design simple experiments in detail.
  • This course is for those who wish to understand the difference between point and interval estimation and learn to conclude and interpret results from tests.

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Clinical Research for beginners

      • Dr Sabyasachi via Udemy
      • 2,192+ already enrolled!
      • ★★★★☆ (412 Ratings)

Clinical Research for beginners

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

In this engaging course, you will be taught how to design clinical research studies and conduct clinical trials, and prospective and retrospective studies.

  • The best thing about this course is its focus on explaining the basics of Biostatistics including descriptive and analytic statistics.
  • This course is for those who wish to get an overview of the common causes of rejections and what to do with a rejected paper.
I believe this course has great content and it taught me how to design any research in the most effective possible manner. This course has increased my knowledge a lot and I am glad to have found this course. (Dr. Mahek M, ★★★★★)

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Mathematical Biostatistics Boot Camp 1

      • John Hopkins University via Coursera
      • 69,357+ already enrolled!
      • ★★★★☆ (452 Ratings)

Mathematical Biostatistics Boot Camp 1

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

This is a very engaging class that presents the fundamental probability and statistical concepts that are used in elementary data analysis. Here you will understand all about conditional probability in detail.

  • The reason why we chose this class is its focus on explaining all about the Bayes’ Rule, distributions, and asymptotics. You will get to understand the fundamental core concepts in mathematical biostatistics and statistics.
  • This class is for those who wish to understand all about Binomial Proportions and Logs which are the core concepts in mathematical biostatistics and statistics.
This class has its way of forcing the learner to really understand the fundamental statistical concepts through brilliantly designed, albeit very challenging quizzes. I liked the content of this class a lot and it kept me engaged throughout. (Charles M, ★★★★★)

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Applied Biostatistics: Methods & Applications

      • via Harvard Catalyst

Applied Biostatistics Certificate - Methods & Applications

In this class, you will understand the most commonly used approaches that are used in medical statistics.

  • The reason why we chose this class is its focus on explaining how to choose an appropriate analysis. You will be taught how to implement all these techniques in statistical software.
  • This class is for those who wish to understand how to assess the statistical methods chosen in a paper, analyze the collected data, and then communicate the results from their experiment.

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Biostatistics Fundamentals using Python

      • Juan Klopper via Udemy
      • 1,103+ already enrolled!
      • ★★★★☆ (182 Ratings)

Biostatistics Fundamentals using Python

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

This is the type of course that empowers the learner to do their own biostatistical analysis.

  • The reason why we chose this course is its focus on teaching how to use Python to do biostatistical analysis.
  • This course is for all healthcare professionals and scientists who are interested in supercharging their research careers.
I took this course to learn statistics from the perspective of someone who is not a statistician and can say everything turned out to be great. This is a great course that doesn’t go deep into statistical theory but does cover a lot of important aspects of statistical analysis. (Joshua F, ★★★★☆)

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Biostatistics for Big Data Applications

      • University of Texas via edX
      • 24 Hours of effort required!
      • Study Type: Self-paced

Biostatistics for Big Data Applications

This engaging class will help you learn data analysis basics for working with biomedical big data using practical hands-on examples through R.

  • The best thing about this class is its focus on explaining all about the basics of R programming and how you can create and interpret graphical summaries of data.
  • This class is for those who wish to understand basic inferential statistics including parametric and nonparametric methods.

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Doing Clinical Research: Biostatistics with the Wolfram Language

      • University of Cape Town via Coursera
      • 5,048+ already enrolled!
      • ★★★★★ (47 Ratings)

Doing Clinical Research

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

This course has only one aim and that is to help learners understand how to do statistical tests and get ready to learn to summarize data and create plots, charts, etc.

  • The best thing about this course is its focus on explaining the modern trend of learning statistical analysis through the use of computer language.
  • This course is for those who wish to understand all about statistical tests and how to do clinical research.
This was simply an excellent course that had engaging material to offer. The instructor succeeded in explaining all the topics in a well-presented way. He explained really well how to present results in a nice story. Overall I liked the content of this course. (Gaurav K, ★★★★☆)

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Introduction to Applied Biostatistics: Statistics for Medical Research

      • Osaka University via edX
      • 30 Hours of effort required!
      • Study Type: Self-paced

In this highly informative class, you will learn all about data analysis for medical research with practical hands-on examples using R commander.

  • The reason why we chose this class is its focus on explaining the important topics in medical statistical concepts and reasoning. You will also learn all about epidemiological study designs in detail.
  • This class is for those who wish to learn all about data analysis using R Commander.

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Designing and Analyzing Clinical Trials in R

      • via datacamp
      • 4,296+ already enrolled!
      • 04 Hours of effort required!

In this course, the instructor will give a detailed overview of clinical trial designs. Here you will be taught how to determine the number of patients needed and how to conduct statistical analysis.

  • The best thing about this course is its focus on explaining the important principles of statistical analysis.
  • This course is for all data analysts, medical students, medical researchers, and clinicians who are interested in learning about the design and analysis of clinical trials.

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