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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


Popular Statistics Courses and Certifications


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    Packt

    Eye Tracking the User Experience: From Design to Analysis

    Skills you'll gain: User Experience, UI/UX Research, User Experience Design, Usability Testing, Design Research, Data Visualization, Usability, User Centered Design, User Research, Interactive Data Visualization, Data Analysis, Qualitative Research, Quantitative Research, Data Preprocessing, Statistical Inference

    Beginner · Course · 3 - 6 Months

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    Real Madrid Graduate School Universidad Europea

    ¿Cómo hemos llegado hasta aquí?El desarrollo de la analítica

    Skills you'll gain: Analytics, Business Analytics, Trend Analysis, Data-Driven Decision-Making, Advanced Analytics, Data Analysis, Analysis, Predictive Analytics, Case Studies, Spatial Analysis, Mathematical Modeling, Data Collection, Performance Reporting, Data Presentation, Predictive Modeling, Innovation, Learning Styles, Leadership, Computer Vision, Communication

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Regression & Logistic Models in Excel & Minitab

    Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Matplotlib with Python: E-commerce Data Visualization

    Skills you'll gain: Matplotlib, Data Preprocessing, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Histogram, Data Analysis, Scatter Plots, Exploratory Data Analysis, Pandas (Python Package), Jupyter, Software Installation

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Suivre les actions des visiteurs du site Web à l'aide de Facebook Pixel

    Skills you'll gain: Marketing Strategies, Facebook, Web Analytics, Marketing Analytics, Social Media Marketing, Online Advertising, Business Marketing, Target Audience, Digital Marketing, Business Communication

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Real Madrid Graduate School Universidad Europea

    Análisis de fútbol aplicado - Mirando a los casos reales

    Skills you'll gain: Journalism, Statistics, Media and Communications, Analysis, Case Studies, Databases, Forecasting, Relational Databases, Data Integration, Innovation, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

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    Coursera

    كيفية تقييم أداء حملتك الإعلانية على موقع بنترست

    Skills you'll gain: Pinterest, Advertising Campaigns, Digital Advertising, Performance marketing, Content Performance Analysis, Customer Insights, Social Media Campaigns, Campaign Management, Advertising, Performance Reporting, Web Analytics, Report Writing, Marketing Analytics, Digital Marketing, Marketing Management

    Beginner · Guided Project · Less Than 2 Hours

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

  • Eye Tracking the User Experience: From Design to Analysis: Packt
  • ¿Cómo hemos llegado hasta aquí?El desarrollo de la analítica: Real Madrid Graduate School Universidad Europea
  • Regression & Logistic Models in Excel & Minitab: EDUCBA
  • Matplotlib with Python: E-commerce Data Visualization: EDUCBA
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Suivre les actions des visiteurs du site Web à l'aide de Facebook Pixel: Coursera
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Machine Learning Projects in R with Caret: EDUCBA
  • Análisis de fútbol aplicado - Mirando a los casos reales: Real Madrid Graduate School Universidad Europea
  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA

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