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  • Teradata Data Types

Results for "teradata data types"


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    E

    EDUCBA

    Apply Natural Language Processing Techniques in Python

    Skills you'll gain: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Logical Operations

    Crystal Reports: Subreports and Drill-Downs

    Skills you'll gain: Management Reporting, Business Reporting, Data Presentation, Process Validation, Report Writing, Data Sharing, Microsoft Access, Dashboard, Business Intelligence Software, Data Integration, Consolidation, Business Intelligence, Data Analysis Software, Data Analysis, Editing, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Analyze Agent Performance: Build and Test

    Skills you'll gain: Statistical Hypothesis Testing, AI Workflows, LangChain, Generative AI Agents, CrewAI, Statistical Methods, Statistical Analysis, Data Transformation, Agentic systems, Statistical Inference, Business Intelligence, Performance Testing, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Performance Metric, Descriptive Analytics, Business Metrics, Data Analysis, Correlation Analysis, Event Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    890 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Logical Operations

    Crystal Reports: Formulas, Parameters, and Groups

    Skills you'll gain: Data Analysis Expressions (DAX), Ad Hoc Reporting, Microsoft Excel, Business Reporting, Microsoft Access, Report Writing, Data Analysis Software, Business Intelligence Software, Data Presentation, Data Analysis, Business Intelligence, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Evaluate & Optimize LLM Performance

    Skills you'll gain: Statistical Hypothesis Testing, Data-Driven Decision-Making, LLM Application, Performance Metric, Statistical Analysis, Test Script Development, Large Language Modeling, Business Metrics, Model Evaluation, Prompt Engineering, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    M

    Microsoft

    Microsoft PL-300 Exam Preparation and Practice

    Skills you'll gain: Power BI, Microsoft Copilot, Data Visualization Software, Data Storytelling, Data Modeling, Interactive Data Visualization, Data Analysis, Microsoft Power Platform, Asset Management, Data Manipulation, Data Transformation, Microsoft 365, Data Cleansing, Data Import/Export, Data Quality

    4.6
    Rating, 4.6 out of 5 stars
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    632 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
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    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular teradata data types courses

  • Apply Natural Language Processing Techniques in Python: EDUCBA
  • Crystal Reports: Subreports and Drill-Downs: Logical Operations
  • Analyze Agent Performance: Build and Test: Coursera
  • Generative AI Engineering with LLMs: IBM
  • Crystal Reports: Formulas, Parameters, and Groups: Logical Operations
  • Evaluate & Optimize LLM Performance: Coursera
  • Machine Learning: Classification: University of Washington
  • Microsoft PL-300 Exam Preparation and Practice: Microsoft
  • Practical Machine Learning: Johns Hopkins University
  • Probability and Statistics: To p or not to p?: University of London

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