Clinical Biostats Blog 3
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Skip to contentWith 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.
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.
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
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.
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.
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.
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.
Course 1
Course 2
Course 3
Course 4
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).
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.
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).
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.
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.
“I highly recommend this course to data analysts in the pharmaceutical industry and clinical professionals interested in Clinical Biostats. The course material is useful for future research and projects, as demonstrated in the first few sessions. The instructors are engaging and provide direct practical examples of the materials. The instructor’s passion and expertise are evident in their demonstrations. Communication with the instructor is possible during breaks, and the instructor is adaptable to students’ needs.”
Graduate Student Biology Tohoku University Sendai, Japan
“If you are interested in Clinical Biostats, I highly recommend this course. It provides a systematic approach to learning commonly used clinical data analysis methods, which can greatly improve your skills and contribute to your career development in this field.”
Graduate Student Biology Tohoku University Sendai, Japan
“The course is highly recommended for individuals interested in clinical Biostatistics. It provides a suitable introduction to medical statistics that is neither too difficult nor too easy. The knowledge gained in the course is applicable to various career paths, and I found the visualization of data interesting. I acquired new knowledge in statistics related to medicine. The instructor was highly knowledgeable, and communication through Zoom and Slack was easy.”
Undergraduate Student Biology Tohoku University Sendai, Japan
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.
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.
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.
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.
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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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum
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