Machine Learning with Python - Tutorial for Beginners
Comprehensive Python-based machine learning tutorial covering data manipulation, visualization, statistics, and reinforcement learning, with practical examples and a smart taxi case study.
Data Science for Beginners - Python for Data Science
This full course on Data Science from Great Learning is ideal for both beginners and professionals who want to upskill in one of the highly trending domains of the industry. It covers topics as fundamental as statistics and data to Logistic and Linear Re…
Python for Data Science - Data Science with Python - Python for Data Analysis
Data science with python starts focuses on an introduction to Python and Python IDEs, followed by looking at data structures in Python. Then we look at object-oriented programming.
Time Series Analysis and Forecasting in R
This full course on Time Series Analysis will be taught by Dr Abhinanda Sarkar. Dr Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. He is ranked amongst the Top 3 Most Prominent Analytics & Data Science Ac…
Data Visualization with ggplot2 in R
ggplot2 is the most popular package for data visualization. It is based on Grammar of Graphics which makes visualization extremely easy.
Statistics for Data Science - Probability and Statistics Tutorial
One of the most critical aspects of the data science approach is our perception of getting the information processed. In developing insights from our accumulated data, we dig out the possibilities. And those possibilities are known as statistical analysi…
CBW's Cancer Analysis Workshop June 7-11, 2021
Comprehensive cancer analysis workshop covering genomics, gene expression, pathways, and multi-omic integration. Hands-on training in bioinformatics tools and techniques for cancer research and clinical data interpretation.
CBW's Introduction to R Workshop - June 21-22, 2021
Learn R programming essentials: scripting, statistical tests, loops, functions, linear models, and R Markdown in this comprehensive workshop for beginners.
CBW's Pathway and Network Analysis Workshops May 10-12, 2021
Comprehensive workshop on pathway and network analysis techniques for gene lists, covering visualization, over-representation, regulatory networks, and gene function prediction using various tools.
CBW's Machine Learning Workshops May 25-26, 2021
Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.
Bioinformatics for Cancer Genomics 2018
Comprehensive exploration of cancer genomics, covering databases, sequencing analysis, gene expression, mutations, and cloud-based bioinformatics tools for reproducible research and big data integration.
Introduction to R 2018
Learn the fundamentals of R programming for data analysis and visualization through hands-on sessions covering key concepts and practical applications.
High-Throughput Biology - From Sequence to Networks 2017
Comprehensive exploration of high-throughput biology, covering sequencing, RNA analysis, and network pathways with hands-on tutorials using popular bioinformatics tools.
Microbiome Summer School- Big Data Analytics for Omics Science 2017
Explore microbiome research through bioinformatics and big data analytics, covering topics from metagenomics to machine learning for biological data and microbiome database mining.
Informatics and Statistics for Metabolomics 2016
Learn metabolomics data analysis, including technologies, statistics, pathway analysis, and database exploration. Gain practical skills through tutorials and lectures on this emerging field.
Biotechnology
Explore advanced biotechnology techniques including DNA fingerprinting, PCR, blotting, and sequencing. Gain insights into microbiology, genetics, and protein analysis for cutting-edge research applications.
Bioinformatics for Cancer Genomics 2016
Explore key bioinformatics concepts and tools for analyzing cancer genomic data, including mutation detection, gene expression, and data integration techniques.
Bioinformatics for Cancer Genomics 2015
Explore cancer genomics through mapping, gene fusion, copy number alterations, somatic mutations, gene expression profiling, and network analysis. Gain insights into cutting-edge bioinformatics techniques for understanding cancer at the molecular level.
Cancer Data and Its Analysis - 2015
Explore cancer genomics data analysis using ICGC Data Portal and learn pathway and network analysis techniques for understanding cancer biology.
Informatics on High Throughput Sequencing 2014
Explore high-throughput sequencing tools, variant calling, visual analysis, Galaxy integration, and de novo assembly techniques for advanced bioinformatics applications.
Bioinformatics for Cancer Genomics 2013
Explore cancer genomics through data visualization, alignment, mutations, pathway analysis, and gene expression profiling. Learn to interpret biological data for cancer research.