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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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    Coursera

    Facebook Analytics: Optimize Performance

    Skills you'll gain: Facebook, Content Performance Analysis, Social Media Content, Marketing Analytics, Social Media Marketing, Data-Driven Decision-Making, Social Media, Analytics, Social Media Strategy, Driving engagement, Trend Analysis, Data Analysis, Performance Analysis, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

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

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Manipulation, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    تتبع إجراءات زبائن الموقع باستخدام فيسبوك بيكسل

    Skills you'll gain: Facebook, Web Analytics, Social Media Marketing, Customer Analysis, User Accounts, Social Media, E-Commerce

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    Python: Apply & Evaluate Sales Forecasting with Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Forecasting, Data-Driven Decision-Making, Trend Analysis, Predictive Modeling, Statistical Modeling, Statistical Analysis, Data Visualization, Exploratory Data Analysis, Data Processing, Sales Management, Pandas (Python Package), Jupyter

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

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    University of Pennsylvania

    비즈니스와 사회의 글로벌 트렌드

    Skills you'll gain: Demography, International Relations, Political Sciences, Market Trend, Socioeconomics, Trend Analysis, Economics, Policy, and Social Studies, World History, Social Sciences, Cultural Diversity, Economic Development, Sociology, Consumer Behaviour, Financial Systems, Economics, Business, Business Economics, Analysis, Governance

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Regression Analysis, Data Analysis, Big Data, Analytics, Feature Engineering, Engineering Analysis, Predictive Modeling, Data Science, Data Processing, Statistical Analysis, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Data Cleansing, Unsupervised Learning, Machine Learning, Data Transformation

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

Searches related to statistics

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1…117118119…122

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

  • Facebook Analytics: Optimize Performance: Coursera
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Clustering and Classification with Machine Learning in R: Packt
  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
  • تتبع إجراءات زبائن الموقع باستخدام فيسبوك بيكسل : Coursera
  • Python: Apply & Evaluate Sales Forecasting with Time Series: EDUCBA
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Data Science Fundamentals, Part 2: Pearson
  • 비즈니스와 사회의 글로벌 트렌드: University of Pennsylvania
  • Data Science Fundamentals Part 2: Unit 1: Pearson

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