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CLINICAL BIOSTATS

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With our 12-week Biostatistics and Python Programming courses taught by industry experts. In the Biostatistics course, participants will learn R programming along with statistical analysis and data visualization techniques. In the Python Programming course, participants will learn algorithms/data structures and develop several real software programs. Both courses provide valuable skills in clinical trials and software industries. Join now to gain practical skills and advance your career.

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CLINICAL BIOSTATS

Why Take this course:

There are several reasons to consider taking our Biostatistics course with Clinical Biostats. We offer training in the development of clinical outputs such as tables, listings, and figures (TLFs), R and SAS programming, and statistical analysis plans, as well as sample size calculation, safety and efficacy analyses.

First, Biostatistics is an essential tool in the field of clinical research, and having a solid understanding of statistical concepts and methodologies can greatly enhance your ability to analyze and interpret data accurately. By attending our Biostatistics course, you can gain valuable insights into statistical methods and best practices, and learn how to apply these concepts to real-world scenarios.

Secondly, learning how to develop TLFs (Tables, Listings, and Figures) can be particularly useful in clinical research. TLFs are critical for summarizing and visualizing complex data, making it easier to identify patterns and trends. By mastering TLF development, you can create high-quality reports that meet regulatory requirements and effectively communicate the results of your research.

Thirdly, proficiency in programming languages such as R and SAS can significantly enhance your ability to work with large datasets, automate repetitive tasks, and perform complex statistical analyses. These skills are highly sought after in the job market, and can make you a valuable asset to any team working in the field of clinical research.

Lastly, understanding how to perform sample size calculation, safety and efficacy analyses is crucial for designing and executing clinical trials that are statistically sound and produce reliable results. By mastering these techniques, you can ensure that your research is rigorous and meets the highest standards of quality.
 
In summary, taking our Biostatistics course can equip you with the knowledge and skills necessary to excel in the field of clinical research. By mastering TLF development, programming languages, statistical analysis plans, and sample size calculation, safety and efficacy analyses, you can enhance your career prospects, contribute to the development of new treatments and therapies, and make a meaningful impact in the field of healthcare
Course Information
Experience across multiple clinical domains

Participants should take the Biostatistics course which covers multiple clinical domains, such as medical device, gene therapy, and oncology, to gain a broad understanding of the field and the different statistical techniques used in different areas. This will help participants be more versatile in their work and better able to apply statistical methods to

Enhance career prospects

The Biostatistics course will enhance career prospects, as there is high demand for Biostatisticians in the pharmaceutical and biotech industries. By acquiring in-demand skills and expertise, participants will be well-positioned for career advancement and opportunities.

Boost data analysis skills

The course will boost participants' data analysis skills, particularly in SDTM/ADaM datasets, which are commonly used in clinical trials. This will help them analyze data more efficiently and accurately, which is essential for making informed decisions about treatment efficacy and patient safety.

Learn from industry experts

Participants will also have the opportunity to learn from industry experts, including an individual with a PhD in Statistics. This will provide them with valuable insights and knowledge that they can apply to real-world projects and challenges in Biostatistics. Learning from experienced professionals will also help them stay up-to-date with the latest trends and best practices in the field.

ABOUT CLINICAL BIOSTATS

Course Outline:

This Biostatistics course covers a comprehensive range of topics essential for conducting clinical trials and analyzing data. The course is over 100 hours of instructional time and includes two real-world clinical trials with simulated data sets to provide practical experience. 

The course covers Tables, Listings, Figures (TLFs), including Adverse Events by System Organ Class and Preferred Term, Laboratory, Disposition, Concomitant Medications, Demographics, Swimlane plots, Waterfall plots, Spider plots, and RECIST v1.1 clinical endpoints. Participants will learn how to present data using various graphical and tabular formats to provide clear and concise information to stakeholders.
 
Participants will also learn about SDTM/ADaM data sets, which are essential for standardizing clinical trial data for analysis and reporting. They will learn about dose-finding methods such as 3 + 3 design, BOIN, MCP, and other popular methods.
 
Efficacy Signal Detection methods, including Simon’s Two Stage Design and Fleming’s Two Stage Design, will be covered in detail, providing participants with the skills needed to identify promising treatment options.
 
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Course 4

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FEATURED COURSES

Level Up Your Skill

Taking our Biostatistics course or our Python programming course is an excellent way to level up your skills and enhance your career prospects. Biostatistics is a high-demand field with a low unemployment rate, and Biostatisticians enjoy higher than average salaries. Python is one of the most popular programming languages in the world and is widely used in data analysis and machine learning. By taking either course, you’ll gain essential skills and knowledge that will make you a valuable asset to any organization in need of statistical or programming expertise. You’ll also learn from industry experts and gain practical experience applying statistical methods or programming concepts to real-world problems. Ultimately, taking our Biostatistics course or our Python programming course is an excellent investment in your professional development and a way to advance your career in dynamic and rewarding fields.
NEW
Users Reviews:
5/5

Biostatistics Course

This 12-week Biostatistics course will begin on June 1 and end on August 19, with no classes
on July 3 and 4. Classes will be held every Monday through Thursday from 5:30 pm to 8:30 pm Eastern Standard Time (EST).

NEW
Users Reviews:
5/5

Python Programming

This Python programming course is scheduled to have classes every Monday through Thursday from 5:30 pm to 8:30 pm Eastern Standard Time (EST), starting on October 1 and ending on December 21. Please note that there will be no classes on Thanksgiving Day.

NEW
Users Reviews:
5/5

Biostatistics Course

This 12-week Biostatistics course will begin on June 1 and end on August 19, with no classes
on July 3 and 4. Classes will be held every Monday through Thursday from 5:30 pm to 8:30 pm Eastern Standard Time (EST).

NEW
Users Reviews:
5/5

Biostatics Course 2

This Biostatistics course is scheduled to have classes every Monday through Thursday from 5:30 pm to 8:30 pm Eastern Standard Time (EST), starting on October 1 and ending on December 21. Please note that there will be no classes on Thanksgiving Day.

TESTIMONIALS

What our previous students said

This showcases the overwhelmingly positive feedback from former students who found the course to be highly effective. Students praised the course’s engaging and knowledgeable instructor, the comprehensive course materials, and the opportunity to work with real-world clinical trial data. They also reported that the course significantly boosted their skills and confidence in Biostatistics, making them more valuable to employers in the industry.

CLINICAL BIOSTATS

Why Take this courses:

There are several reasons to consider taking our Biostatistics course with Clinical Biostats. We offer training in the development of clinical outputs such as tables, listings, and figures (TLFs), R and SAS programming, and statistical analysis plans, as well as sample size calculation, safety and efficacy analyses.

First, Biostatistics is an essential tool in the field of clinical research, and having a solid understanding of statistical concepts and methodologies can greatly enhance your ability to analyze and interpret data accurately. By attending our Biostatistics course, you can gain valuable insights into statistical methods and best practices, and learn how to apply these concepts to real-world scenarios.

Secondly, learning how to develop TLFs (Tables, Listings, and Figures) can be particularly useful in clinical research. TLFs are critical for summarizing and visualizing complex data, making it easier to identify patterns and trends. By mastering TLF development, you can create high-quality reports that meet regulatory requirements and effectively communicate the results of your research.

Thirdly, proficiency in programming languages such as R and SAS can significantly enhance your ability to work with large datasets, automate repetitive tasks, and perform complex statistical analyses. These skills are highly sought after in the job market, and can make you a valuable asset to any team working in the field of clinical research.

Lastly, understanding how to perform sample size calculation, safety and efficacy analyses is crucial for designing and executing clinical trials that are statistically sound and produce reliable results. By mastering these techniques, you can ensure that your research is rigorous and meets the highest standards of quality.
 
In summary, taking our Biostatistics course can equip you with the knowledge and skills necessary to excel in the field of clinical research. By mastering TLF development, programming languages, statistical analysis plans, and sample size calculation, safety and efficacy analyses, you can enhance your career prospects, contribute to the development of new treatments and therapies, and make a meaningful impact in the field of healthcare
In addition to our Biostatistics course, we also offer a Python programming course with Clinical Biostats. Python is a powerful language for data analysis and is widely used in the field of clinical research. Our Python course covers important concepts such as data structures, algorithms (Big O notation algorithms), and several unique Python software programs that are commonly used in the healthcare industry.
 
First, understanding data structures and algorithms can help you optimize your code for efficiency and improve the speed of data processing. In our Python programming course, we cover Big O notation algorithms, which are a fundamental aspect of computer science and help you understand how different algorithms perform under different conditions.
 
Secondly, we cover several unique Python software programs that are commonly used in the healthcare industry, such as Pandas, NumPy, and SciPy. These libraries provide powerful tools for data manipulation, statistical analysis, and machine learning, which are essential for working with large and complex datasets.
 
Lastly, proficiency in Python programming can make you a valuable asset in the job market, as these skills are highly sought after in the field of clinical research. By taking our Python course, you can enhance your ability to work with data, automate repetitive tasks, and perform complex analyses.
 
In summary, taking our Python programming course can equip you with the knowledge and skills necessary to excel in the field of clinical research. By mastering data structures, algorithms, and several unique Python software programs, you can enhance your career prospects, contribute to the development of new treatments and therapies, and make a meaningful impact in the field of healthcare.
Experience Across Multiple Domains

Participants should take our Biostatistics course as it covers multiple clinical domains, such as medical device, gene therapy, and oncology, and teaches a broad range of statistical techniques that are applicable across these different areas. By enrolling in this course, participants can gain a versatile skill set that can be applied to various projects within clinical research. Additionally, our Python programming course covers algorithms (including Big O notation algorithms), data structures, and several unique Python software programs that are commonly used in the field of clinical research. By mastering these programming skills, participants can work more efficiently with large datasets, automate repetitive tasks, and perform complex statistical analyses, making them a valuable asset to any clinical research team.

Boost Data Analysis Skills

The course is designed to enhance participants' data analysis skills, particularly in SDTM/ADaM datasets used in clinical trials, enabling them to make informed decisions about treatment efficacy and patient safety. Participants can complement their learning by taking a Python programming course, as Python is a widely used programming language that offers flexibility and ease of use in various industries, including clinical research. With Python skills, participants can improve their ability to work with SDTM/ADaM datasets, conduct data wrangling, visualization, and statistical modeling, leading to more efficient and accurate analysis of data. In addition, participants will gain familiarity with algorithms such as Big O notation algorithms, data structures, and unique Python software programs that can enhance their abilities to handle large and complex datasets. Overall, taking both courses can significantly enhance participants' data analysis skills and enable them to make more informed decisions about patient safety and treatment efficacy.

Enhance Career Prospects

The Biostatistics course will enhance career prospects, as there is high demand for Biostatisticians in the pharmaceutical and biotech industries. By acquiring in-demand skills and expertise, participants will be well-positioned for career advancement and opportunities. Additionally, taking a Python programming course can further enhance career prospects in the field of clinical research. Proficiency in Python is highly sought after by employers as it can significantly improve data analysis and visualization capabilities. By learning Python programming and its application in clinical research, participants can expand their skillset and become more valuable to potential employers. Furthermore, Python programming skills can also enable participants to automate repetitive tasks, saving time and increasing productivity, which can lead to further career growth and advancement opportunities.

Course Information
Learn from industry experts

Participants will also have the opportunity to learn from industry experts, including an individual with a PhD in Statistics. This will provide them with valuable insights and knowledge that they can apply to real-world projects and challenges in Biostatistics and Python programming. Learning from experienced professionals will also help them stay up-to-date with the latest trends and best practices in the field.

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Course Information

With our 12-week Biostatistics and Python Programming courses taught by industry experts. In the Biostatistics course, participants will learn R programming along with statistical analysis and data visualization techniques. 

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