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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 Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      International Business Essentials

      Skills you'll gain: Financial Statements, Business Planning, Sampling (Statistics), Management Training And Development, Descriptive Statistics, Organizational Structure, Change Management, Data Presentation, Professional Networking, Business Mathematics, Verbal Communication Skills, Team Building, Team Management, Business Strategy, Professionalism, Resource Allocation, Competitive Analysis, Linear Algebra, Mathematical Modeling, International Finance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Reinforcement Learning, Deep Learning, Unsupervised Learning, Machine Learning Methods, Generative AI, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Natural Language Processing, Predictive Modeling, Machine Learning Algorithms, Probability & Statistics, Network Architecture, Supervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Discrete-Time Markov Chains and Monte Carlo Methods

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Probability & Statistics, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6K 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, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Marketing Effectiveness, Target Market, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Statistics, Predictive Modeling, Microsoft Excel, Marketing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      522 reviews

      Intermediate · Specialization · 3 - 6 Months

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

      Coursera Instructor Network

      Market Research Methods and Data Analysis Certificate

      Skills you'll gain: Data Storytelling, Qualitative Research, Market Research, Quantitative Research, Data-Driven Decision-Making, Benchmarking, Data Presentation, Descriptive Statistics, Competitive Analysis, Analytical Skills, Research Design, Market Dynamics, Data Analysis, Data Visualization Software, Statistical Reporting, Statistics, Data Collection, Data Analysis Software, Microsoft Excel, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      86 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Machine Learning, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      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

    • Status: Preview
      Preview
      D

      Duke University

      Behavioral Finance

      Skills you'll gain: Behavioral Economics, Decision Making, Financial Planning, Finance, Consumer Behaviour, Financial Market, Financial Analysis, Economics, Psychology, Probability & Statistics, Risk Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      S

      SkillsBooster Academy

      Email Marketing: Boost Sales with High-Converting Campaigns

      Skills you'll gain: Email Marketing, Lead Generation, Email Automation, Customer Relationship Management (CRM) Software, Performance Metric, Sales Pipelines, Digital Marketing, Copywriting, Customer Support, Customer Engagement, Data Pipelines, Compliance Management, Revenue Cycle Management, Generative AI, Design and Product, Product Design, Law, Regulation, and Compliance, Artificial Intelligence, Design Elements And Principles, Statistics

      Beginner · Course · 1 - 3 Months

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

    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • International Business Essentials: University of London
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
    • Algorithms: Stanford University
    • Foundations of Marketing Analytics: Emory University
    • Market Research Methods and Data Analysis Certificate: Coursera Instructor Network
    • IBM Introduction to Machine Learning: IBM
    • Program Structure and Algorithms Part 2: Northeastern University
    • Behavioral Finance: Duke 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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