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  • Python For Genomic Data Science

Results for "python for genomic data science"


  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Detect and Mitigate Ethical Risks

    Skills you'll gain: Data Ethics, Responsible AI, Accountability, Risk Management, Risk Analysis, Information Privacy, Risk Mitigation, Safety and Security, Business Ethics, Artificial Intelligence, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    123 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Media Analytics

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Database Theory, Exploratory Data Analysis, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytics, Sociology, Natural Language Processing, Data Manipulation, Text Mining, Statistical Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Building Powerful Reports and Dashboards in Power BI

    Skills you'll gain: Data Ethics, Dashboard, Power BI, Business Intelligence, Interactive Data Visualization, Data Presentation, Data Visualization, Data Storytelling, Data Visualization Software, Data-Driven Decision-Making, Business Reporting, Business Analytics, Data Analysis Expressions (DAX), Data Security, Data Management, Key Performance Indicators (KPIs), Data Analysis, Performance Analysis, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Getting Started with Rstudio

    Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    143 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Program Evaluation

    3.4
    Rating, 3.4 out of 5 stars
    ·
    101 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Transformation, Data Processing, Data Modeling, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

    Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Regression Analysis, Performance Analysis, Deep Learning, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Problems, Algorithms and Flowcharts

    Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular python for genomic data science courses

  • Detect and Mitigate Ethical Risks: CertNexus
  • Generative AI Language Modeling with Transformers: IBM
  • Social Media Analytics: Johns Hopkins University
  • Building Powerful Reports and Dashboards in Power BI: Microsoft
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Getting Started with Rstudio: Coursera
  • Causal Inference: Columbia University
  • K-Means Clustering 101: World Happiness Report: Coursera
  • Feature Engineering en Español: Google Cloud
  • Foundations of Probability and Random Variables: Johns Hopkins University

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Analytics (85)
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R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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