Python for Genomics is an intensive micro credential course designed to equip participants with essential Python programming skills tailored for genomics analysis. From foundational Python concepts like syntax, data types, and control flow to advanced topics including defining functions, handling arguments, and recursive functions, participants will develop proficiency in Python while exploring its applications in genomics. Through hands-on exercises, quizzes, and projects, learners will gain practical experience in using key Python concepts. This course is ideal for students, genomics researchers, bio-informatics, and enthusiasts looking to leverage Python's versatility for genomic data analysis.
Python for Genomics is an intensive micro credential course designed to equip participants with essential Python programming skills tailored for genomics analysis. From foundational Python concepts like syntax, data types, and control flow to advanced topics including defining functions, handling arguments, and recursive functions, participants will develop proficiency in Python while exploring its applications in genomics. Through hands-on exercises, quizzes, and projects, learners will gain practical experience in using key Python concepts. This course is ideal for students, genomics researchers, bio-informatics, and enthusiasts looking to leverage Python's versatility for genomic data analysis.
Python for Genomics is an intensive micro credential course designed to equip participants with essential Python programming skills tailored for genomics analysis. From foundational Python concepts like syntax, data types, and control flow to advanced topics including defining functions, handling arguments, and recursive functions, participants will develop proficiency in Python while exploring its applications in genomics. Through hands-on exercises, quizzes, and projects, learners will gain practical experience in using key Python concepts. This course is ideal for students, genomics researchers, bio-informatics, and enthusiasts looking to leverage Python's versatility for genomic data analysis.
Python for Genomics is an intensive micro credential course designed to equip participants with essential Python programming skills tailored for genomics analysis. From foundational Python concepts like syntax, data types, and control flow to advanced topics including defining functions, handling arguments, and recursive functions, participants will develop proficiency in Python while exploring its applications in genomics. Through hands-on exercises, quizzes, and projects, learners will gain practical experience in using key Python concepts. This course is ideal for students, genomics researchers, bio-informatics, and enthusiasts looking to leverage Python's versatility for genomic data analysis.
Python for Genomics is an intensive micro credential course designed to equip participants with essential Python programming skills tailored for genomics analysis. From foundational Python concepts like syntax, data types, and control flow to advanced topics including defining functions, handling arguments, and recursive functions, participants will develop proficiency in Python while exploring its applications in genomics. Through hands-on exercises, quizzes, and projects, learners will gain practical experience in using key Python concepts. This course is ideal for students, genomics researchers, bio-informatics, and enthusiasts looking to leverage Python's versatility for genomic data analysis.
This is a foundational course in Python programming, a widely-used programming language pivotal in Artificial Intelligence. This beginner-level program covers essential concepts such as variables, data types, expressions, and control structures through numerous real-life examples. Starting with fundamental programming principles, the course progresses to explain assignment statements, input/output syntax, and control flow with if, if-else, and if-elif statements. Emphasizing the significance of loops, the curriculum includes detailed tutorials on for-loops and do-loops, illustrated with practical applications. Dr. Xavier Chelladurai delivers this course in 40 accessible videos, ensuring a clear and engaging learning experience for every student. The lab record and other study materials will help the students do hands-on lab work on important problems.