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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


Popular Applied Statistics Courses and Certifications


  • Status: New
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    U

    University of Pittsburgh

    Data Visualization: Fundamentals to Interactive Storytelling

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Università di Napoli Federico II

    Data Visualization: Analisi dei dati con Tableau

    Skills you'll gain: Interactive Data Visualization, Tableau Software, Dashboard, Data Storytelling, Data Visualization Software, Peer Review, Data Presentation, Data Integration, Data Visualization, Geographic Information Systems, Spatial Analysis, Business Intelligence, Data Manipulation, Data Preprocessing, Data Transformation, Data Sharing, Data Analysis, Business Analytics, Data Cleansing, Data Access

    4.6
    Rating, 4.6 out of 5 stars
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    11 reviews

    Beginner · Specialization · 3 - 6 Months

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    Packt

    Streaming Big Data with Spark Streaming, Scala, and Spark 3!

    Skills you'll gain: Apache Kafka, Apache Spark, Scala Programming, Real Time Data, Apache Hadoop, Data Pipelines, Apache Cassandra, Applied Machine Learning, Big Data, Data Processing, Application Deployment, Distributed Computing, Development Environment

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    W

    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    E

    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Machine Learning Methods, Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
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    11 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Northwestern University

    현대 로봇공학, 강좌 2: 로봇 기구학

    Skills you'll gain: Robotics, Machine Controls, Mechanics, Torque (Physics), Automation Engineering, Mathematical Modeling, Engineering Analysis, Engineering Calculations, Structural Analysis, Mechanical Design, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Visualization (Computer Graphics), Spatial Analysis

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Online Influence and Persuasion

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Analysis, Exploratory Data Analysis, Analytics, Statistical Analysis, Social Sciences, Behavioral Economics, Research, Data Collection, Sociology, Data Transformation, Persuasive Communication, Application Programming Interface (API), Media and Communications, Substance Abuse, Psychology

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    T

    The Hong Kong University of Science and Technology

    Search Engines for Web and Enterprise Data

    Skills you'll gain: Search Engine Optimization, Web Analytics, Semantic Web, Performance Metric, Digital Marketing, Algorithms, Personalized Service, Text Mining, User Feedback, Natural Language Processing, User Research, Data Structures

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
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    P

    Pontificia Universidad Católica de Chile

    Fundamentos de sistemas recomendadores

    Skills you'll gain: AI Personalization, Model Evaluation, Supervised Learning, Machine Learning Algorithms, Machine Learning, Classification Algorithms, Unsupervised Learning, Predictive Modeling, Statistical Machine Learning, Information Architecture, Dimensionality Reduction, Applied Machine Learning, Analysis, Linear Algebra, Collaborative Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to applied statistics

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statistics and applied data analysis
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In summary, here are 10 of our most popular applied statistics courses

  • Data Visualization: Fundamentals to Interactive Storytelling: University of Pittsburgh
  • Data Visualization: Analisi dei dati con Tableau: Università di Napoli Federico II
  • Streaming Big Data with Spark Streaming, Scala, and Spark 3!: Packt
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • PySpark for Data Science: Edureka
  • 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
  • AI Driven Machine Learning with Python: EDUCBA
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Online Influence and Persuasion: Johns Hopkins University

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