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IBM Courses

IBM courses can help you learn data analysis, cloud computing, artificial intelligence, and machine learning. You can build skills in programming with Python, utilizing SQL for database management, and implementing AI models for real-world applications. Many courses introduce tools like IBM Watson for AI development, IBM Cloud for scalable solutions, and various data visualization software, providing practical experience in leveraging technology to solve complex problems.

Popular IBM Courses and Certifications


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    IBM

    IBM Data Analyst Capstone Project

    Skills you'll gain: Dashboard, Dashboard Creation, IBM Cognos Analytics, Data Visualization, Data Presentation, Presentations, Data Wrangling, Exploratory Data Analysis, Business Intelligence Software, Statistical Visualization, Data Analysis, Interactive Data Visualization, Microsoft PowerPoint, Data Visualization Software, Data Cleansing, Business Intelligence, Looker (Software), Data Manipulation, Web Scraping, Data Collection

    4.6
    Rating, 4.6 out of 5 stars
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    1.3K reviews

    Advanced · Course · 1 - 3 Months

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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Data Preprocessing, Statistical Methods, Data Processing, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

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    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

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    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Fine-tuning, Large Language Modeling, Generative Model Architectures, Model Optimization, Prompt Engineering, Model Training, PyTorch (Machine Learning Library)

    4.5
    Rating, 4.5 out of 5 stars
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    114 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    312 reviews

    Beginner · Course · 1 - 4 Weeks

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    Generative AI: Business Transformation and Career Growth

    Skills you'll gain: Generative AI, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Content Creation, Market Opportunities, AI Integrations, Business Transformation, New Business Development, Content Development and Management

    4.7
    Rating, 4.7 out of 5 stars
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    294 reviews

    Beginner · Course · 1 - 4 Weeks

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    Data Analysis with R

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

    4.7
    Rating, 4.7 out of 5 stars
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    374 reviews

    Intermediate · Course · 1 - 3 Months

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    Statistical Analysis Fundamentals using Excel

    Skills you'll gain: Data Visualization, Descriptive Statistics, Data Presentation, Statistical Hypothesis Testing, Statistical Visualization, Regression Analysis, Forecasting, Probability Distribution, Data Visualization Software, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Probability & Statistics, Microsoft Excel, Descriptive Analytics, Statistics, Spreadsheet Software, Predictive Analytics, Predictive Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    152 reviews

    Intermediate · Course · 1 - 3 Months

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    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Presentation, Data Analysis, Probability Distribution, Statistics, Statistical Methods, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Statistical Modeling, Descriptive Analytics, Statistical Inference, Correlation Analysis, Probability

    4.5
    Rating, 4.5 out of 5 stars
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    463 reviews

    Mixed · Course · 1 - 3 Months

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    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R (Software), R Programming, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Services, Cloud API, Cloud Computing, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, AI Integrations, Model Evaluation, Machine Learning, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming, Design Thinking

    4.5
    Rating, 4.5 out of 5 stars
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    60 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • IBM Data Analyst Capstone Project: IBM
  • Introduction to Neural Networks and PyTorch: IBM
  • Machine Learning with Python: IBM
  • Generative AI Engineering and Fine-Tuning Transformers: IBM
  • Machine Learning Introduction for Everyone: IBM
  • Generative AI: Business Transformation and Career Growth: IBM
  • Data Analysis with R: IBM
  • Statistical Analysis Fundamentals using Excel: IBM
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Statistics for Data Science with Python: IBM

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