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Results for "ibm data science"


  • 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

    4.6
    Rating, 4.6 out of 5 stars
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    356 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Data Science Methodology

    Skills you'll gain: Peer Review, Data Modeling, Jupyter, Data Collection, Business Analysis, Data Science, Decision Tree Learning, Predictive Modeling, Software Development Methodologies, Data Processing, Business Requirements, Data Cleansing, Data Analysis, Data Mining, Data Quality, Data Transformation, User Feedback, Feature Engineering, Stakeholder Engagement

    4.6
    Rating, 4.6 out of 5 stars
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    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
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    450 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Generative AI for Data Scientists

    Skills you'll gain: Generative AI, Microsoft Copilot, Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Technical Communication, Responsible AI, Data Visualization, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Pipelines, Data Cleansing, Data Visualization Software, Data Analysis, Data Science, Data Security, Data Synthesis, Critical Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    61 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
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    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
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    356 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Processing, Deep Learning, Data Transformation, Machine Learning, Exploratory Data Analysis

    3.2
    Rating, 3.2 out of 5 stars
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    77 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Scientist Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    343 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Interactive Data Visualization, AI Product Strategy, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Visualization Software, Deep Learning, Statistical Analysis, Python Programming, Query Languages, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science Capstone

    Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection, GitHub

    4.7
    Rating, 4.7 out of 5 stars
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    7.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, Workflow Management, No-Code Development, Machine Learning Software, Natural Language Processing, Machine Learning, AI Product Strategy, Artificial Intelligence, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Case Studies, Business Intelligence, Unstructured Data, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    34K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    113 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Data Science Methodology: IBM
  • Statistics for Data Science with Python: IBM
  • Generative AI for Data Scientists: Microsoft
  • Introduction to Data Science in Python: University of Michigan
  • AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft
  • Perform data science with Azure Databricks: Microsoft
  • Data Scientist Career Guide and Interview Preparation: IBM
  • Generative AI for Data Analysts: IBM
  • Applied Data Science Capstone: IBM

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