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    Study information science for managing information resources. Learn about data management, information systems, and knowledge organization.

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    Explore the Information Science Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Generative AI Agents, Feature Engineering, Predictive Modeling, Flask (Web Framework), Supervised Learning, PyTorch (Machine Learning Library), Deep Learning, Exploratory Data Analysis, Data Manipulation, Natural Language Processing, Data Import/Export, Statistical Modeling, Applied Machine Learning, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Data Visualization, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Bayesian Statistics, Statistics, Biostatistics, Linear Algebra, Statistical Analysis, Data Science, Statistical Methods, Regression Analysis, Probability, Statistical Inference, Sampling (Statistics), Probability Distribution, Statistical Modeling, R Programming, Mathematical Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      764 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, IBM Cognos Analytics, Dashboard, Data Visualization, Apache Spark, Apache Hadoop, SQL, Linux Commands, Database Administration, Web Scraping, Data Pipelines, Database Design, Extract, Transform, Load, Interviewing Skills, Generative AI, Jupyter, Python Programming, Data Science, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Writing in the Sciences

      Skills you'll gain: Concision, Writing, Peer Review, Technical Communication, Grammar, Technical Writing, Editing, Scientific Methods, Journals, Research, Communication Strategies, General Science and Research, Healthcare Ethics, Constructive Feedback

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, Analytics, Spreadsheet Software, Business Analytics, Data Cleansing, Exploratory Data Analysis, Data Collection, Data Processing, Query Languages, Data Visualization Software, Data Visualization, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      116K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Natural Language Processing, Keras (Neural Network Library), Data-Driven Decision-Making, Large Language Modeling, Technical Management, Applied Machine Learning, Machine Learning, Debugging, Supervised Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Machine Learning Algorithms, Test Data

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Ethics, Data Analysis, Workflow Management, Analytical Skills, Data Science, Data Storytelling, Project Design, Data Literacy, Data Presentation, Data-Driven Decision-Making, Data Management, Project Management, Stakeholder Communications, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.3K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Combinatorics, Computational Logic, Computational Thinking, Probability, Theoretical Computer Science, Logical Reasoning, Deductive Reasoning, Cryptography, Probability & Statistics, Public Key Cryptography Standards (PKCS), Arithmetic, Algorithms, Mathematical Modeling, Network Analysis, Encryption, Data Structures, Mathematical Theory & Analysis, Operations Research, Computer Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Back-End Development

      Skills you'll gain: Serverless Computing, Open Web Application Security Project (OWASP), Software Development Life Cycle, OpenShift, Linux Commands, GitHub, Software Architecture, MongoDB, Bash (Scripting Language), Containerization, NoSQL, Kubernetes, Development Environment, Git (Version Control System), Object-Relational Mapping, Flask (Web Framework), System Monitoring, Microservices, Jupyter, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning, Anomaly Detection, Reinforcement Learning, Supervised Learning, Feature Engineering, Decision Tree Learning, Classification And Regression Tree (CART), Data Ethics, Tensorflow, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Python Programming, NumPy, Artificial Neural Networks

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Statistics with Python

      Skills you'll gain: Statistical Methods, Bayesian Statistics, Sampling (Statistics), Statistical Modeling, Statistical Inference, Regression Analysis, Descriptive Statistics, Data Visualization, Data Analysis, Exploratory Data Analysis, Histogram, Statistical Hypothesis Testing, Data Visualization Software, Statistics, Probability & Statistics, Box Plots, Jupyter, Statistical Analysis, Statistical Programming, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Serverless Computing, Open Web Application Security Project (OWASP), Agile Software Development, Software Development Life Cycle, Test Driven Development (TDD), Agile Methodology, OpenShift, Linux Commands, GitHub, Software Architecture, DevOps, Microservices, Containerization, Cloud Computing Architecture, Software Engineering, Flask (Web Framework), System Monitoring, Jupyter, Application Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    1…567…834

    In summary, here are 10 of our most popular information science courses

    • IBM Generative AI Engineering: IBM
    • Advanced Statistics for Data Science: Johns Hopkins University
    • IBM Data Engineering: IBM
    • Writing in the Sciences: Stanford University
    • Foundations: Data, Data, Everywhere: Google
    • Deep Learning: DeepLearning.AI
    • Foundations of Data Science: Google
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • IBM Back-End Development: IBM
    • Machine Learning: DeepLearning.AI

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