Introduction to Biostatistics
Introduction to Biostatistics, available at $39.99, has an average rating of 3.6, with 29 lectures, based on 86 reviews, and has 9756 subscribers.
You will learn about What is biostatistics? What are variables? Types of variables What is data? Types of Data What is sampling? What is distribution? Types of distributions What is estimation? Types of estimations What is probability? How to find the probability of different data? What is regression? Coefficient of regression Correlation Coefficient of correlation Rank correlation This course is ideal for individuals who are Biostatistics It is particularly useful for Biostatistics.
Enroll now: Introduction to Biostatistics
Summary
Title: Introduction to Biostatistics
Price: $39.99
Average Rating: 3.6
Number of Lectures: 29
Number of Published Lectures: 29
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 29
Original Price: $94.99
Quality Status: approved
Status: Live
What You Will Learn
- What is biostatistics?
- What are variables?
- Types of variables
- What is data?
- Types of Data
- What is sampling?
- What is distribution?
- Types of distributions
- What is estimation?
- Types of estimations
- What is probability?
- How to find the probability of different data?
- What is regression?
- Coefficient of regression
- Correlation
- Coefficient of correlation
- Rank correlation
Who Should Attend
- Biostatistics
Target Audiences
- Biostatistics
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< Step-by-step explanation of more than 5.5 hours of video lessons on Biostatistics>
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<Instant reply to your questions asked during lessons>
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<Weekly live talks on Biostatistics. You can raise your questions in a live session as well>
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<Helping materials like notes, examples, and exercises>
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<Solution of quizzes and assignments>
In this course, you will learn all about the introduction to biostatistics and its application in medical and life sciences. The contents of the introduction to biostatistics/clinical research are purely the biostatistics contents and the courses are being taught in every biological and medical science. This course of introduction to biostatistics is highly demanded in all the fields where life exists. All the branches of medical sciences are totally blinded without the application of statistics. Since today sciences heavily rely on the introduction to biostatisticsand therefore the course has its huge importance due to its uniqueness.
There are more than six sections and 5 hours of videos contents in the course and every section contains the videos as per their titles. The course has been designed on PowerPoint slides and on writing tablets along with instructor face-to-face teaching. In the beginning, I have explained the basics of biostatistics and when you will move sections to sections then you will learn the advanced topics of biostatistics.
The course has applications in many fields like pharmaceutical, medical, agriculture, life sciences, business study, IT industry, and in every field of life. Therefore, every student of whatever the field should enroll in this course. Due to its vast and emerging applications and interest, many of the students around the world search for the complete content on different platforms including YouTube but they could not find the complete course. That’s why I have decided to take this course and of course, you can learn now all these contents without any hesitations.
I would like to suggest the following things to take this course
1. If you are just watching the videos and you think that you will get mastery over the subjects then I can say that the course is not for you. You will learn only the distorted contents by watching and get the mastery when you will make the notes by writing in your notebook. Not every content and concentrate on your learning by watching and put questions on every video where you will that you have not clear.
2. Put the questions to your instructors and your instructor will give the prompt response of each of your questions until you will not get mastery over your subjects
3. Don’t skip any video and watch the complete course. Set your time and watch 3 to 4 videos daily or less and complete the course in one weak.
4. Read other books or ask an instructor which book they should study to get mastery over the subjects
5. If you are a student of a university or college and you are taking this course and attending the offline classes in your classroom then compare this course with your classroom contents. Discuss these contents with your fellows and teachers.
Honestly, it is totally the blindness when you just watch the videos and that means that you just want to taste things or you just have distorted learning.
Apply all of the above instructions then this course is much valuable for you and otherwise, you will just waste the money. However, you can enroll because of a thirty-day money-back guarantee as well.
When you will complete the course then you will have the certificate of completion and you can show this certificate to your company or you can use it as your profile.
Most importantly, if you are a student of research in any discipline then this course is much valuable for you because in today’s research disciplines the research is statistical and your research is incomplete without showing the statistical data. Hope you will all follow my instructions and will like to enroll in my course. And forget to give the feedback of the course by rating and writing the review. Best of luck and please stay healthy. See you in the course.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: About Author
Chapter 2: Data and Variables
Lecture 1: Definition of Sample and Population
Lecture 2: What are Variables and Data?
Lecture 3: Types of Variables
Lecture 4: Qualitative and Quantitative Variables
Lecture 5: Discrete and Continuous Variables
Chapter 3: Probability
Lecture 1: What is Sample Space?
Lecture 2: Example
Lecture 3: Example of Sample Space
Lecture 4: Example of Two Dices
Lecture 5: Discrete and Continuous Sample Spaces
Lecture 6: Numerical Data
Lecture 7: What is an Event and Types of Events
Lecture 8: What is Probability?
Lecture 9: Experimental and Theoretical Probability
Lecture 10: Probability Example
Lecture 11: Probability Examples 2
Lecture 12: Probability Example of 52-Deck Cards
Lecture 13: Random Variables in Probability
Lecture 14: Types of Random Variables
Lecture 15: Probability Distribution
Lecture 16: Discrete Probability Distribution
Chapter 4: Mean, Median and Mode
Lecture 1: A Brief Introduction to Mean, Median and Mode
Lecture 2: Revision of Previous Lectures
Chapter 5: Regression Analysis
Lecture 1: Regression and Regression Coefficient
Lecture 2: Examples
Chapter 6: Introduction to Correlation Analysis
Lecture 1: Method of Coefficient of Correlation
Lecture 2: Method of Rank Correlation
Instructors
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AD Chauhdry
Researcher, Mathematician, and Data Scientist
Rating Distribution
- 1 stars: 8 votes
- 2 stars: 12 votes
- 3 stars: 20 votes
- 4 stars: 25 votes
- 5 stars: 21 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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