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    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: Free
      Free
      C

      Coursera Project Network

      Google Analytics for Beginners: Marketing Essentials

      Skills you'll gain: Web Analytics, Google Analytics, Content Performance Analysis, Customer Analysis, E-Commerce, Marketing Analytics, Performance Analysis, Marketing Effectiveness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow Google Cloud 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Supervised Learning, MLOps (Machine Learning Operations), Jupyter, Big Data, Deep Learning, Artificial Neural Networks, Responsible AI, No-Code Development, Applied Machine Learning, Data Pipelines, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Introduction to Market Research

      Skills you'll gain: Market Research, Analytical Skills, Data Collection, Data-Driven Decision-Making, Market Analysis, Marketing, Business Research, Quantitative Research, Data Analysis, Customer Insights, Market Trend, Consumer Behaviour, Trend Analysis, Competitive Analysis, Strategic Decision-Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Association Rules Analysis

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

      3.3
      Rating, 3.3 out of 5 stars
      ·
      14 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 5

      Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Storytelling

      Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Statistical Visualization, Data Visualization Software, Tableau Software, Data Ethics, Exploratory Data Analysis, Scatter Plots, Heat Maps, Data Integrity

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Foundations of Digital Marketing

      Skills you'll gain: Search Engine Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Web Analytics, Web Analytics and SEO, Online Advertising, Data Presentation, Data Visualization, Analytics, Digital Marketing, Keyword Research, Apache Hadoop, Data-Driven Decision-Making, Digital Advertising, Machine Learning Methods, Social Media Strategy, Customer Analysis, MarTech, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Household Surveys for Program Evaluation in LMICs

      Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Ethics

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      I

      IESE Business School

      Career Path Essentials

      Skills you'll gain: Professional Networking, Professional Development, Interviewing Skills, Trend Analysis, Sales, Market Trend, LinkedIn, Spreadsheet Software, Relationship Building, Business Marketing, Presentations, Adaptability, Communication Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Michigan

      파이썬의 데이터 과학 소개

      Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

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    statistics and data analysis with excel: advanced
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    1…848586…116

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

    • Google Analytics for Beginners: Marketing Essentials: Coursera Project Network
    • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
    • Introduction to Market Research: Coursera Instructor Network
    • Association Rules Analysis: University of Colorado Boulder
    • Scrape and analyze data analyst job requirements with Python: Coursera Project Network
    • Mastering Data Analysis with Pandas: Learning Path Part 5: Coursera Project Network
    • Data Storytelling: University of California, Irvine
    • Foundations of Digital Marketing: University of Maryland, College Park
    • Computational and Graphical Models in Probability: Johns Hopkins University
    • Household Surveys for Program Evaluation in LMICs: Johns Hopkins University

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

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