Open Source (R and Python)
R and Python are free and open-source software tools that offer a wide range of data analysis capabilities. They are becoming increasingly popular in the life science industry due to their flexibility ease of use and cost effectiveness. Cost, Flexibility, Community support, Integration with other tools and platforms like SQL, Hadoop and Spark, Machine learning capabilities are some of the reasons that R and Python are gaining popularity over commercial tools like SAS.
If you are interested in pursuing a career in the life science industry, learning R and Python can be a valuable skill. These tools are becoming increasingly important in the industry, and many companies are looking for candidates with experience in these tools. Additionally, learning these open-source tools can be a great way to develop your data analysis skills, which are highly valued in the industry.
What will you learn
By completing the course at PACEDO you will attain- strong programming skills in languages like SAS and R and be able to write efficient, clean, and well documented code.
- Good understanding of statistical concepts and methods to analyze clinical trial data and procedure accurate results.
- High level of attention to detail to ensure the accuracy and integrity of the data.
- Effective communication with other stakeholders including statisticians, data managers, regulatory and clinical researches and be able to explain technical details in a clear and concise manner.
- Good understanding of regulations for clinical trails, including ICH-GCP, FDA and EMA guidelines.
- Problem solving skills to be able to identify and solve problems that arise during the data analysis process.
- Project management skills to be able to manage multiple projects simultaneously, prioritize tasks and meet deadlines.
- Complete understanding of the process from data collection to submission to regulatory and beyond.
