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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

    • Status: Preview
      Preview
      U

      University of Illinois Urbana-Champaign

      Getting Started with CyberGIS

      Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      B

      Banco Interamericano de Desarrollo

      Data for Effective Policy Making

      Skills you'll gain: Data Ethics, Policy Development, Data-Driven Decision-Making, Data Analysis, Data Collection, Policy Analysis, Data Quality, Surveys, Program Evaluation, Research, Statistical Analysis, Research Design

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Michigan

      Tobacco & Nicotine: Public Health, Science, Policy, and Law

      Skills you'll gain: Health Policy, Substance Abuse, Lawsuits, Litigation and Civil Justice, Epidemiology, Health Disparities, Regulatory Compliance, Policy Analysis, Public Health, Policy Development, Law, Regulation, and Compliance, Trend Analysis, Advocacy, Surveys

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      E

      Edureka

      Generative AI's Applications in Marketing Analytics

      Skills you'll gain: Marketing Effectiveness, Case Studies, Applied Machine Learning, Emerging Technologies, Predictive Modeling, Exploratory Data Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      GRAMMY GO

      Strategies for Audience Growth and Promoting Music Brands

      Skills you'll gain: Marketing Budgets, Digital Media Strategy, Media Strategy, Content Strategy, Promotional Strategies, Marketing Analytics, Customer Engagement, Content Marketing, Brand Awareness, Marketing Strategies, Trend Analysis, Brand Strategy, Social Media Strategy, Data-Driven Decision-Making, Campaign Management, Social Media, Key Performance Indicators (KPIs), Strategic Partnership

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Starweaver

      Master Data Storytelling for B2B & B2C Sales

      Skills you'll gain: Data Storytelling, Sales Presentation, Sales Strategy, Customer Relationship Management (CRM) Software, Storytelling, Sales, Data Literacy, B2B Sales, Data Visualization Software, Customer Analysis, Customer Insights, Target Audience, Presentations, Exploratory Data Analysis, Stakeholder Communications

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Create a services customer satisfaction process

      Skills you'll gain: Customer Service, Customer experience strategy (CX), Customer Analysis, Process Mapping, Customer Insights, Process Design, Customer Support, Cross-Channel Marketing, Marketing Operations, Business Process, Web Analytics, Marketing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      أساسيات تحليل البيانات باستخدام بايثون وباندا

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Graphing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Literacy, NumPy, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      ML Parameters Optimization: GridSearch, Bayesian, Random

      Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in R with RStudio & Tidyverse

      Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Analytical Skills, Statistical Analysis, R Programming, Data Wrangling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Where, Why, and How of Lambda Functions in Python

      Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Getting Started with CyberGIS: University of Illinois Urbana-Champaign
    • Data for Effective Policy Making: Banco Interamericano de Desarrollo
    • Tobacco & Nicotine: Public Health, Science, Policy, and Law: University of Michigan
    • Generative AI's Applications in Marketing Analytics: Edureka
    • Strategies for Audience Growth and Promoting Music Brands: GRAMMY GO
    • Master Data Storytelling for B2B & B2C Sales : Starweaver
    • Create a services customer satisfaction process: Coursera Project Network
    • أساسيات تحليل البيانات باستخدام بايثون وباندا: Coursera Project Network
    • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
    • Data Analysis in R with RStudio & Tidyverse: Codio

    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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