Sorry! you can't join this course. Registration has been closed for this course.
The field of biological sciences is becoming increasingly information-intensive and data-rich. For example, the growing availability of omics data or clinical measurements from humans promises a better understanding of the important questions in biology. However, the complexity and high-dimensionality of these biological data make it difficult to pull out mechanisms from the data. Machine Learning techniques promise to be useful tools for resolving such questions in biology because they provide a mathematical framework to analyse complex and vast biological data. In turn, the unique computational and mathematical challenges posed by biological data may ultimately advance the field of machine learning as well. This course will cover basics of the Python programming language for biological data wrangling and use of machine learning to that. This course is intended to give learner a conceptual overview of machine learning algorithms and hands on experience of the same.
ReadMyCourse is a one stop destination for understanding courses related to research and new technology With great qualified instructors and 24X7 doubts support, difficult topics are presented in a simplified manner.
I had a great learning experience with ReadMyCourse. The concepts were clearly explained by the teachers, especially the way the course was simplified and presented, makes it more fun and easy. I got a job offer as Bioanalyst.
It is quite understandable for me. I have some background in programming language it is a plus point, apart from it also its quite easy to understand with live classes. Course was more practical and with live coding examples.
Anand is the Co-Founder and CTO of ReadMyCourse. He has 5 years of experience in working with computation biology, Machine Learning, and Vaccine designing. He has co-authored various research papers in reputed journals and has advanced the career of thousands of students.
Dr. Dibyabhaba Pradhan is a Post-doctoral Research Scientist. He is a PhD in Bioinformatics and has more than 12 years of Research and teaching experience in High throughput NGS data analysis, Computer-aided vaccine design, Rational Drug Design and Medical Informatics. He co-authored more than 53 research papers in International and National Journals of repute.
Nirupma has 5 years of experience with R and Python programming languages for handling and analysing biological data and implement machine learning. She has a post-graduate in Microbiology therefore, She can understand and interpret the biological data quite well and could provide valuable insights. She enjoys interactive teaching with the learners and give her best to it.
Sharon Priya Alexander has Masters Degree in Bioinformatics bagged late Dr. P. Subramanyam IAS Gold Medal for being a University topper. He has co-authored various research papers in reputed journals. Currently Pursuing PhD in drug designing.