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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.


More to explore:

Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Preprocessing, Data Access, Applied Machine Learning, Model Evaluation, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    650 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Infrastructure, Data Presentation, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Digital Marketing

    Skills you'll gain: Data Storytelling, Marketing Analytics, Keyword Research, Email Marketing, Customer experience strategy (CX), Case Studies, Strategic Communication, Search Engine Marketing, Marketing Communications, Digital Marketing, Analytics, Digital Media Strategy, Campaign Management, Business Analytics, Content Marketing, Marketing Management, Marketing, Web Analytics, Data Analysis, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    E

    Erasmus University Rotterdam

    Enjoyable Econometrics

    Skills you'll gain: Econometrics, Data Collection, Probability & Statistics, Regression Analysis, Survey Creation, Statistics, Quantitative Research, Descriptive Statistics, Data Literacy, Time Series Analysis and Forecasting, Statistical Analysis, Model Evaluation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    132 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics: Mechanics, Planning, and Control

    Skills you'll gain: Robotics, Machine Controls, Control Systems, Automation Engineering, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Artificial Intelligence, Vibrations, Applied Mathematics, Engineering Analysis, Automation, Virtual Environment, Torque (Physics), Graph Theory, Matlab

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Foundations of Marketing Analytics

    Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Target Market, Marketing Effectiveness, Social Media, Model Evaluation, Business Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Marketing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    529 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    BI Foundations with SQL, ETL and Data Warehousing

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Apache Airflow, Linux Commands, SQL, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Data Visualization, Dashboard, File Management, Star Schema, IBM DB2, Business Intelligence, Interactive Data Visualization, Relational Databases, Stored Procedure, Databases

    4.6
    Rating, 4.6 out of 5 stars
    ·
    24K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM IT Project Manager

    Skills you'll gain: Software Development Life Cycle, Stakeholder Engagement, Software Architecture, Agile Software Development, Project Management Life Cycle, Resource Management, Peer Review, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Kanban Principles, Project Schedules, Project Management, Information Technology, Risk Management, Interviewing Skills, Agile Project Management, Leadership, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • IBM Introduction to Machine Learning: IBM
  • Hypothesis Testing in Public Health : Johns Hopkins University
  • Big Data: University of California San Diego
  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • Digital Marketing: University of Illinois Urbana-Champaign
  • Enjoyable Econometrics: Erasmus University Rotterdam
  • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
  • Foundations of Marketing Analytics: Emory University
  • Databricks Machine Learning Fundamentals: Coursera
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea

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