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Results for "basic "


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, R (Software), Probability & Statistics, Descriptive Statistics, Data Analysis, Correlation Analysis, Data Validation, Simulations, Histogram, Box Plots, Simulation and Simulation Software

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    307 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis, Finance

    4
    Rating, 4 out of 5 stars
    ·
    889 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Machine Learning Methods, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Natural Language Processing, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Getting and Cleaning Data

    Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Import/Export, Data Collection, Data Management, Web Scraping, R Programming, MySQL, SQL, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • 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
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Tableau Public for Beginners: Data Visualization Basics

    Skills you'll gain: Dashboard, Interactive Data Visualization, Data Presentation, Tableau Software, Data Visualization Software, Data Analysis Software, Digital Publishing, Key Performance Indicators (KPIs), Data Import/Export

    3.8
    Rating, 3.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • E

    EIT Digital

    Basic Recommender Systems

    Skills you'll gain: Data Ethics, AI Personalization, System Requirements, Responsible AI, Machine Learning Algorithms, Innovation, Algorithms, Unsupervised Learning, Quality Assurance, Data-Driven Decision-Making, Applied Machine Learning, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Basic Statistics in Python (Correlations and T-tests)

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

Searches related to basic

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1…789…56

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

  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
  • Experimental Design Basics: Arizona State University
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Deep Learning with Keras and Tensorflow: IBM
  • Getting and Cleaning Data: Johns Hopkins University
  • Introduction to Data Science in Python: University of Michigan
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Tableau Public for Beginners: Data Visualization Basics: Coursera
  • Basic Recommender Systems: EIT Digital

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