Unlock the future of biological data analysis with our "Introduction to Bioinformatics" course. This comprehensive course combines bioinformatics, molecular biology, and computational techniques, equipping you with the skills to analyze complex biological and clinical data. Beginning with fundamental concepts, the course explores advanced topics like RNA sequencing analysis, single-cell genomics, gene-gene association studies, and medical text mining. You'll gain hands-on experience by working with real-world datasets from renowned databases such as NCBI, TCGA, and PubMed, using cutting-edge tools and frameworks. Our course balances theoretical understanding with practical implementation, priming you for roles in biotechnology, pharmaceuticals, and healthcare. Targeted at biology and computer science students, early-career scientists transitioning into bioinformatics, and healthcare professionals keen on computational methods for improved patient care, the course also suits data analysts and researchers seeking to enhance their bioinformatics skills. Ideal job roles post-completion include bioinformatics analyst, computational biologist, research scientist, and healthcare data specialist. Whether you're advancing your bioinformatics career or enhancing research capabilities, this course offers essential knowledge and skills to succeed in today's data-driven world. Enrol now to transform your passion for biological data into a rewarding career.
RNA-Seq vs scRNA-Seq Study
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Skills You'll Learn
Computational Thinking, Correlation Analysis, Algorithms, Dimensionality Reduction, Data Science, Data Mining, Bioinformatics, Markov Model, Scientific Visualization, Medical Science and Research, Chemical and Biomedical Engineering, Unsupervised Learning
From the lesson
Cell Classification Using Single Cell RNA-Seq Data
Taught By
BITS Pilani Instructors Group