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Learn the fundamentals of statistics with Bioinformatics Institute. Cover key concepts like descriptive statistics, normal distribution, hypothesis testing, ANOVA, and linear regression through video lectures and practical problems.
Learn Python programming fundamentals with Bioinformatics Institute. Practice through numerous tasks, receive instant feedback, and engage in peer discussions. Optional advanced challenges included. Duration: 23 hours.
Learn Linux from scratch with Bioinformatics Institute. Explore installation, graphical interface, command line, remote server operations, bash scripting, and advanced tools like vim. Includes tests and practical tasks.
Learn statistical analysis methods, data interpretation, and visualization with Bioinformatics Institute. Master techniques like ANOVA, regression, and cluster analysis. Apply mathematical concepts to diverse research tasks.
Learn to create and apply neural networks with Bioinformatics Institute. Understand key algorithms, practical techniques, and real-world applications. Includes linear algebra basics, perceptron, gradient descent, and backpropagation.
Learn fundamental Python principles, data types, and functions with Bioinformatics Institute. Engage in practical assignments, receive instant feedback, and solve real-world problems. Collaborate with peers in discussions.
Learn R programming with the Bioinformatics Institute. Explore data types, semantic rules, and advanced topics like matrices, data frames, and functional programming. Ideal for data analysis and processing tasks.
Learn set theory, combinatorics, discrete probability, graph theory, and complexity theory with Bioinformatics Institute. Gain essential mathematical skills in 16 hours per week.
Master data analysis with Linux containers and Docker, focusing on reproducibility and automation. Learn workflows, pipelines, and Common Workflow Language (CWL) for efficient and reliable data processing. 23 hours/week with Bioinformatics Institute.
Deepen your data analysis skills with Bioinformatics Institute. Master advanced data manipulation using apply functions, dplyr, and data.table. Enhance data visualization with ggplot2 and create interactive reports with R Markdown.
Master regression analysis, mixed models, and bootstrap techniques with Bioinformatics Institute. Gain practical experience using R through theoretical and hands-on tasks. Ideal for both academic and applied fields.
Learn the basics of high-throughput sequencing, quality control, and data formats. Gain hands-on skills in primary data processing, problem identification, and data visualization with Bioinformatics Institute.
Learn the fundamentals of phylogenetics and modern methods for constructing phylogenies using nucleic acid or protein sequences with Bioinformatics Institute. Explore alignment algorithms, tree-building techniques, and gene evolution.
Explore the fundamentals of molecular biology and genetics with Bioinformatics Institute. Understand cell mechanisms, genetic material, heredity, and key biological processes in just 4 hours. Ideal for biology enthusiasts.
Master data analysis with R through hands-on practice in data manipulation, statistical methods, and result visualization. Learn t-tests, regression, and custom function creation with Bioinformatics Institute.
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