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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

    • C

      Corporate Finance Institute

      Regression Analysis - Fundamentals & Practical Applications

      Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Supervised Learning, Exploratory Data Analysis, Pandas (Python Package), Matplotlib

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Analyze Sales Data with LibreOffice Base Queries

      Skills you'll gain: Customer Analysis, Regional Sales, Sales, Data Analysis Software, Query Languages, Trend Analysis, Databases, Customer Insights, Performance Analysis, Market Opportunities, Product Assortment

      Intermediate · Guided Project · Less Than 2 Hours

    • A

      American Psychological Association

      How to Create and Explore a Data Set

      Skills you'll gain: Data Visualization, Plot (Graphics), Histogram, Data Analysis, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistics, Probability & Statistics, Data Management, Research, Psychology

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Deep Learning - Artificial Neural Networks with TensorFlow

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Regression Analysis, NumPy, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Dataprep: Qwik Start

      Skills you'll gain: Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data Transformation, Data Quality, Data Visualization, Data Analysis, Google Cloud Platform

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Análisis Exploratorio de Datos con Python

      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

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Bracketology with Google Machine Learning

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      M

      Maven Analytics

      Complete Visual Guide to Machine Learning

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Quality Assurance, Random Forest Algorithm

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Baseball into the Millennium

      Skills you'll gain: Culture, Social Studies, World History, Cultural Diversity, Socioeconomics, Labor Law, Public Safety and National Security, Trend Analysis, Economics, Business Economics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Cómo manejar datos faltantes

      Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      BiteSize Python: NumPy and Pandas

      Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Interests of the average Facebook User

      Skills you'll gain: Target Audience, Facebook, Social Media, Persona Development, Social Media Marketing, Social Media Strategy, Customer Insights, Presentations, Web Analytics, Marketing Budgets

      Intermediate · Guided Project · Less Than 2 Hours

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    statistics and data analysis with excel, part 1
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    1…909192…105

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

    • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
    • Analyze Sales Data with LibreOffice Base Queries: Coursera Project Network
    • How to Create and Explore a Data Set: American Psychological Association
    • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
    • Dataprep: Qwik Start: Google Cloud
    • Análisis Exploratorio de Datos con Python: Coursera Project Network
    • Bracketology with Google Machine Learning: Google Cloud
    • Complete Visual Guide to Machine Learning: Maven Analytics
    • Baseball into the Millennium: University of Colorado Boulder
    • Cómo manejar datos faltantes: University of Maryland, College Park

    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.

    Frequently Asked Questions about Statistics

    Statistics courses on Coursera can help equip you with analytical skills and mathematical knowledge to effectively interpret data:

    • Understanding of statistical theory, including probability, distributions, and hypothesis testing.
    • Skills in applying statistical methods to real-world problems across various industries.
    • Proficiency in using statistical software tools like R, Python, or SPSS to analyze and visualize data.
    • Techniques for designing experiments and surveys to collect data efficiently.
    • Knowledge of regression analysis, ANOVA, and other statistical models.
    • Insights into big data analytics, including machine learning algorithms driven by statistical principles.
    • Application of statistics in specialized fields such as biostatistics, econometrics, or psychological statistics.‎

    Statistics courses on Coursera are designed to accommodate learners at different stages of their educational or professional journey:

    • Introductory courses are suitable for those new to statistics, offering foundational knowledge and basic application skills.
    • Intermediate courses build upon basic statistics knowledge, introducing more complex analyses and applications.
    • Advanced courses cater to individuals with a solid background in statistics, focusing on specialized topics or advanced analytical techniques. ‎

    Coursera provides various educational pathways to help validate your skills in statistics:

    • Professional certificates that can help you demonstrate your competence in statistical analysis.
    • Specialized course certificates that focus on particular aspects of statistics, such as data science or predictive analytics.
    • Degree programs and professional qualifications that prepare you for roles involving extensive use of statistics.

    These credentials are intended to enhance your professional qualifications and assist you in advancing your career in fields reliant on statistical analysis.‎

    Studying statistics on Coursera can prepare you for a variety of roles in data-intensive sectors:

    • Data Analyst: Utilize statistical tools and methods to interpret data and inform business decisions.
    • Statistical Consultant: Provide expertise to organizations on statistical methods, data collection, and analysis.
    • Biostatistician: Apply statistics to biological sciences and public health.
    • Econometrician: Use statistical techniques to study economic data and trends.
    • Quality Control Analyst: Implement statistical methods to assess product quality and maintain standards.‎

    Yes, Coursera offers a variety of free courses across many topics, including statistics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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