Statistical Analysis

Statistical Analysis is the collection, interpretation, presentation, and modeling of data to uncover patterns and trends. Coursera's Statistical Analysis catalogue educates you on the methods used to analyze and interpret data in various fields such as science, business, healthcare, and social sciences. You'll learn to employ statistical techniques such as regression analysis, variance analysis, time series analysis, hypothesis testing, and more. You'll also gain proficiency in statistical software and languages like R, Python, and SPSS, enabling you to derive meaningful insights from complex data sets and make evidence-based decisions.
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Explore the Statistical Analysis Course Catalog

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

  • Status: Preview

    University of Virginia

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Marketing, Customer Analysis, Data-Driven Decision-Making, Analytics, Performance Measurement, Strategic Marketing, Brand Management, Regression Analysis, Consumer Behaviour, Return On Investment, A/B Testing, Statistical Analysis

  • Status: New
    Status: Preview

    Skills you'll gain: R Programming, Statistical Methods, Statistical Analysis, Case Studies, Statistical Modeling, Regression Analysis, Advanced Analytics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Business Analytics

  • Status: Preview

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Predictive Analytics, Supervised Learning, Artificial Intelligence, Data Analysis, Decision Tree Learning, Regression Analysis, Statistical Analysis, Artificial Neural Networks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Machine Learning, Applied Machine Learning, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Data Collection, Human Factors, Experimentation, Data Validation, Performance Tuning, Data Quality, Statistical Analysis

  • Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis

  • Status: New
    Status: Preview

    Skills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing

  • Status: Free

    Johns Hopkins University

    Skills you'll gain: Game Theory, Mathematical Modeling, Political Sciences, Combinatorics, Social Sciences, Probability, Applied Mathematics, Critical Thinking, General Mathematics, Statistical Analysis

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Predictive Analytics, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, A/B Testing, Sampling (Statistics)

  • Status: New
    Status: Free Trial

    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

  • Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation

  • Status: New
    Status: Preview

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

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  • This role has a $101,248 median salary ¹.

    description:

    A Statistician collects and analyzes data to identify trends, applying statistical methods to solve problems and provide insights in various fields.

    This role has a $101,248 median salary ¹.

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  • This role has a $146,304 median salary ¹.

    description:

    A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.

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