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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      262 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recruiting, Hiring, and Onboarding Employees

      Skills you'll gain: Workforce Planning, Employee Onboarding, Recruitment, Recruitment Strategies, Talent Acquisition, Job Analysis, Human Resources, Human Resource Strategy, Workforce Management, Employee Engagement, Talent Sourcing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Insights of Power BI

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Modeling, Data Visualization Software, Data Visualization, Data Transformation, Data Cleansing, Business Intelligence, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Business Reporting, Microsoft Excel, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Data Ethics, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Information Privacy, Data Synthesis, Supervised Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      546 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Intro to Null Hypothesis Significance Testing with z-test

      Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Data Literacy, Data Analysis, Analytical Skills

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Applied Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Visualization (Computer Graphics), Data Processing, Network Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      526 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau

      Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Interactive Data Visualization, Data Integration, Data Storytelling, Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Advanced · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Building Statistical Models in R: Linear Regression

      Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Keras Deep Learning & Generative Adversarial Networks (GAN)

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Python Programming, Jupyter, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

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

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

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Machine Learning: Random Forest with Python from Scratch©

      Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Machine Learning, Supervised Learning, Statistical Machine Learning, Computer Science, Decision Tree Learning, Unsupervised Learning, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

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    1…328329330…834

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

    • Deep Learning and Reinforcement Learning: IBM
    • Recruiting, Hiring, and Onboarding Employees: University of Minnesota
    • Insights of Power BI: Fractal Analytics
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • Intro to Null Hypothesis Significance Testing with z-test: American Psychological Association
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • Advanced Tableau: Corporate Finance Institute
    • Building Statistical Models in R: Linear Regression: Coursera Project Network
    • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI

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