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Results for "barcoding"


  • C

    Coursera

    Organize Research Data: File Management

    Skills you'll gain: File Management, Document Management, Data Management, Data Governance, Data Literacy, Records Management, Data Cleansing, File Systems, Data Analysis, Data Processing, Data Maintenance, Record Keeping, Data Quality, Version Control

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Annotate and Analyze Objects for Vision

    Skills you'll gain: Image Analysis, Model Optimization, Quality Assurance, Quality Assessment, Packaging and Labeling, Verification And Validation, Unsupervised Learning, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Charts: Visualize Data Like a Pro

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Statistical Visualization, Scatter Plots, Strategic Decision-Making

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Create Embeddings, Vector Search, and RAG with BigQuery

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Google Gemini, Vector Databases, Generative AI, Google Cloud Platform

    Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Seaborn: Visualizing Basics to Advanced Statistical Plots

    Skills you'll gain: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Visualization Software, Matplotlib, Plot (Graphics), Statistical Analysis, Python Programming

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Bioinformatics Methods for Transcriptomics

    Skills you'll gain: Bioinformatics, R (Software), Molecular Biology, Data Analysis Software, Statistical Analysis, Data Mapping, Molecular, Cellular, and Microbiology, Statistical Methods, Analysis, Command-Line Interface, Data Processing, Linux Commands, Linux

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • J

    John Wiley & Sons

    Foundations of Data Science and Statistical Methods

    Skills you'll gain: Statistical Methods, Exploratory Data Analysis, Data Quality, Statistics, Data Analysis, Data Science, Statistical Analysis, Probability & Statistics, Data Storage, Data Collection, Data Management, Data Pipelines, Statistical Machine Learning, Data-Driven Decision-Making, Applied Mathematics, Interactive Data Visualization, Calculus, Probability Distribution, Machine Learning, Linear Algebra

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Toronto

    Bioinformatic Methods I

    Skills you'll gain: Life Sciences, Data Analysis, Microbiology, Analysis

    ★ 4.7 (1.8K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Vector Databases for RAG: An Introduction

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Database Systems, LLM Application, Data Storage Technologies, Database Management Systems, AI Enablement, Large Language Modeling, Database Management, Database Architecture and Administration, Generative AI

    ★ 4.7 (82) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    Problem-Dependent Resampling Techniques

    Skills you'll gain: Spatial Analysis, Spatial Data Analysis, Model Evaluation, Statistical Methods, Statistical Hypothesis Testing, Sampling (Statistics), Feature Engineering, Dependency Analysis, Drug Interaction, Analysis, Sample Size Determination, Analytics, Applied Machine Learning, Correlation Analysis, Data Synthesis, Machine Learning, Analytical Skills, Data Processing, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Credit offered
    Credit offered
  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Bioinformatics

    Skills you'll gain: Bioinformatics, Data Management, Clinical Data Management, Precision Medicine, Data Analysis, Data Mining, Applied Machine Learning, Unsupervised Learning, Cell Biology, Scientific Visualization, Large Language Modeling, LLM Application, Network Model, Data Preprocessing, Correlation Analysis, Chemical and Biomedical Engineering, Dimensionality Reduction, Computational Thinking, Markov Model, Algorithms

    ★ 3.6 (8) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • T

    The Chinese University of Hong Kong

    Information Theory

    Skills you'll gain: Communication Systems, Digital Communications, Theoretical Computer Science, Telecommunications, Informatics, Probability, Probability Distribution, Algorithms, Model Optimization

    ★ 4.7 (171) · Mixed · Course · 3 - 6 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1234…9

In summary, here are 10 of our most popular barcoding courses

  • Organize Research Data: File Management: Coursera
  • Annotate and Analyze Objects for Vision: Coursera
  • Charts: Visualize Data Like a Pro: Coursera
  • Create Embeddings, Vector Search, and RAG with BigQuery: Google Cloud
  • Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera
  • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
  • Foundations of Data Science and Statistical Methods: John Wiley & Sons
  • Bioinformatic Methods I: University of Toronto
  • Vector Databases for RAG: An Introduction: IBM
  • Problem-Dependent Resampling Techniques: 28DIGITAL

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