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Find the best IBM course for your goals

  • Status: Free Trial
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    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Machine Learning, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Data Visualization and Dashboards with Excel and Cognos

    Skills you'll gain: Data Storytelling, Data Visualization, Data Visualization Software, Dashboard, IBM Cognos Analytics, Tree Maps, Scatter Plots, Data Analysis, Pivot Tables And Charts, Microsoft Excel, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, LLM Application, Prompt Engineering, Deep Learning, Responsible AI, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    273 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    165 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Statistics, Data Visualization, Statistical Methods, Web Scraping, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Visualization Software, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    IBM Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    743 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Python Project for Data Science

    Skills you'll gain: Dashboard, Pandas (Python Package), Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Prompt Engineering, Artificial Intelligence, Deep Learning, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    329 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    Applied Data Science with R

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Data Presentation, SQL, Plot (Graphics), Databases, Leaflet (Software), Data Manipulation, Web Scraping, R Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning, Network Architecture

    4.4
    Rating, 4.4 out of 5 stars
    ·
    69 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Data Analysis and Visualization Foundations

    Skills you'll gain: Data Storytelling, Data Visualization, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Data Collection, Tree Maps, Excel Formulas, Apache Hive, Data Science, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Scatter Plots

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    29K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • IBM Introduction to Machine Learning: IBM
  • Data Visualization and Dashboards with Excel and Cognos: IBM
  • What is Data Science? : IBM
  • Generative AI: Foundation Models and Platforms: IBM
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Data Science Fundamentals with Python and SQL: IBM
  • IBM Generative AI Engineering with LLMs: IBM
  • Python Project for Data Science: IBM
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Applied Data Science with R: IBM

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