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    • Statistics

    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

    • U

      University of Colorado Boulder

      Master of Science in Computer Science

      Skills you'll gain: Object Oriented Design, User Story, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), New Product Development, Data Mining, Delegation Skills, Failure Analysis, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Unsupervised Learning, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives, Engineering Management

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      N

      National Taiwan University

      初級會計學三:股東權益與現金流量 (Financial Accounting 103)

      Skills you'll gain: Financial Statement Analysis, Financial Accounting, Financial Statements, Financial Analysis, Financial Reporting, Cash Flows, Balance Sheet, Equities, Accounting, Investments, Trend Analysis, Consolidation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      H

      H2O.ai

      H2O Label Genie Starter Track

      Skills you'll gain: Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing, Data Management

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Science in Electrical and Computer Engineering

      Skills you'll gain: Object Oriented Design, User Story, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), New Product Development, Data Mining, Delegation Skills, Failure Analysis, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Unsupervised Learning, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives, Engineering Management

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      C

      Coursera

      YouTube Insights: Crack the Algorithm

      Skills you'll gain: Content Performance Analysis, Content Strategy, Web Analytics, Content Creation, Social Media Content, Social Media Strategy, Digital Content, Key Performance Indicators (KPIs), Performance Metric, Growth Strategies, Performance Analysis, Digital Media Strategy, Promotional Strategies, Customer Insights, Target Audience

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Project on Recommendation Engine - Advanced Book Recommender

      Skills you'll gain: Data Processing, Scalability, Data Manipulation, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Python Programming, Machine Learning Algorithms, Unsupervised Learning, NumPy, Exploratory Data Analysis

      Intermediate · Course · 1 - 4 Weeks

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

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Unsupervised Learning, Data Mining, ChatGPT, Applied Machine Learning, Anomaly Detection, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Data Pipelines, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), New Product Development, Data Mining, Delegation Skills, Failure Analysis, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Unsupervised Learning, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives, Engineering Management

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Systems Analysis

      Skills you'll gain: Business Systems Analysis, Agile Methodology, User Requirements Documents, Process Design, Problem Management, Business Process, Product Lifecycle Management, Information Technology, Business Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      R Programming for Statistics and Data Science

      Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Designing and Preparing Machine Learning Solutions

      Skills you'll gain: Data Management, Data Pipelines, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Digital Marketing

      Skills you'll gain: Digital Marketing, Digital Media Strategy, Digital Advertising, Online Advertising, Marketing Effectiveness, Customer Analysis, Web Analytics, Business Metrics, Data-Driven Decision-Making, Content Marketing, Persona Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…151617…109

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

    • Master of Science in Computer Science: University of Colorado Boulder
    • 初級會計學三:股東權益與現金流量 (Financial Accounting 103): National Taiwan University
    • H2O Label Genie Starter Track: H2O.ai
    • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
    • YouTube Insights: Crack the Algorithm: Coursera
    • Project on Recommendation Engine - Advanced Book Recommender: EDUCBA
    • More Applied Data Science with Python: University of Michigan
    • Master of Science in Data Science: University of Colorado Boulder
    • Introduction to Systems Analysis: IBM
    • R Programming for Statistics and Data Science: Packt

    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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