Live class will start from 8 Oct 2021.
Attend 2 demo sessions free and pay only after you are satisfied.
It is well known that in data analysis if rubbish is in we get rubbish out. EDA is to do data analysis using descriptive and inferential statistics, before experimenting in application of a machine learning algorithm . EDA identifies data patterns, detects outliers, removes null values, balances data and finds interesting relations among the variables. In data analysis, this is where most of the time is spent. Most available explanation of EDA using python is based on non-biology related data. This sometimes leads to difficulty in understanding and implementation. Through this course we learn to do EDA on biological data from genes to proteins and diseases and build machine learning models. The demo and practice projects will give you high confidence to develop your own machine learning models in the future. The course applies lots of coding in python. Do not worry we have you covered. We first learn python in a fun way by using biological data followed by statis
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.