Certificate in Data Analysis for Genetic Scientists
-- ViewingNowThe Certificate in Data Analysis for Genetic Scientists is a comprehensive course designed to equip genetic scientists with essential data analysis skills. This program highlights the importance of data-driven decision-making in genetic research and medicine, making it a vital addition to any genetic scientist's skillset.
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⢠Basic Statistical Analysis: Descriptive statistics, probability distributions, statistical inference, hypothesis testing
⢠Data Visualization: Data representation, data exploration, visual storyttelling, using libraries like matplotlib, seaborn, ggplot
⢠Introduction to Data Manipulation: Data cleaning, data transformation, data merging, using packages like pandas, dplyr
⢠Population Genetics Concepts: Hardy-Weinberg equilibrium, linkage disequilibrium, genetic drift, population structure
⢠Genetic Data Analysis: Handling Genomic Data: Handling VCF files, processing NGS data, using tools like samtools, bcftools
⢠Association Studies: Genetic Association Analysis: Case-control studies, transmission disequilibrium test, family-based association tests
⢠Genetic Epidemiology: Studying Complex Traits: Heritability, linkage analysis, genome-wide association studies
⢠Machine Learning Fundamentals: Regression, classification, clustering, using libraries like scikit-learn, caret
⢠Advanced Machine Learning: Deep learning, neural networks, convolutional neural networks, using libraries like TensorFlow, Keras
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