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    • Statistics

    Statistics Courses Online

    Study statistics for data analysis and interpretation. Learn about descriptive statistics, probability, and inferential statistics.

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    Explore the Statistics Course Catalog

    • Coursera Project Network

      Dashboards in Qlik Sense: Decision-Support Dashboards

      Skills you'll gain: Interactive Data Visualization, Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Integration, Heat Maps, Spatial Data Analysis, Data-Driven Decision-Making, Business Intelligence Software, Geospatial Information and Technology, Data Mapping

      Beginner · Guided Project · Less Than 2 Hours

    • Google Cloud

      Using Custom Fields in Looker Explores

      Skills you'll gain: Looker (Software), Ad Hoc Analysis, Dashboard, Data Analysis, Exploratory Data Analysis, Data Literacy

      Beginner · Project · Less Than 2 Hours

    • Coursera Project Network

      TensorFlow Prediction: Identify Penguin Species

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

      Intermediate · Guided Project · Less Than 2 Hours

    • Fundação Instituto de Administração

      Corporate Foresight

      Skills you'll gain: Innovation, Forecasting, Strategic Thinking, Corporate Strategy, Strategic Decision-Making, Business Strategy, Organizational Strategy, Trend Analysis, Analysis, Market Opportunities, Organizational Change, Decision Making, Market Dynamics, Business Research

      Advanced · Course · 1 - 3 Months

    • Google Cloud

      Creating a Looker Modeled Query and Working with Quick Start

      Skills you'll gain: Looker (Software), Pivot Tables And Charts, Dashboard, Data Modeling, Exploratory Data Analysis, Query Languages

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New

      University of Pennsylvania

      Intro to Data Analytics, SQL, and EDA Using Python

      Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Data Storage, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Management, Data Manipulation, Data Cleansing, NumPy

      Beginner · Course · 1 - 4 Weeks

    • Università di Napoli Federico II

      Data Visualization e manipolazione dei dati con Tableau

      Skills you'll gain: Data Integration, Tableau Software, Geographic Information Systems, Spatial Analysis, Data Manipulation, Data Analysis, Data Visualization Software, Exploratory Data Analysis, Data Transformation, Interactive Data Visualization

      Intermediate · Course · 1 - 3 Months

    • Northeastern University

      Practical AI for Professionals

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Strategy, Machine Learning, Business Strategies, Data Management, Data Processing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      Coursera Project Network

      PySpark Foundations: Process, analyze, and summarize data

      Skills you'll gain: PySpark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

      Intermediate · Guided Project · Less Than 2 Hours

    • Packt

      Deep Neural Network for Beginners Using Python

      Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, NumPy, Machine Learning Methods, Applied Machine Learning, Data Transformation, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Machine Learning Algorithms, Algorithms, Linear Algebra, Probability & Statistics

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Predict Visitor Purchases with a Classification Model in BQML

      Skills you'll gain: Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, E-Commerce, Big Data, Marketing Analytics, Google Cloud Platform, Applied Machine Learning, Data Analysis

      Intermediate · Project · Less Than 2 Hours

    • Johns Hopkins University

      Data Science Decisions in Time:Sequential Hypothesis Testing

      Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Data-Driven Decision-Making, Computational Thinking, Machine Learning Methods, Statistical Hypothesis Testing, Medical Science and Research, A/B Testing, Statistical Methods, Computer Vision, Algorithms, Magnetic Resonance Imaging, Program Development, Probability Distribution, Medical Imaging

      Intermediate · Course · 1 - 3 Months

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    1…919293…105

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

    • Dashboards in Qlik Sense: Decision-Support Dashboards: Coursera Project Network
    • Using Custom Fields in Looker Explores: Google Cloud
    • TensorFlow Prediction: Identify Penguin Species: Coursera Project Network
    • Corporate Foresight: Fundação Instituto de Administração
    • Creating a Looker Modeled Query and Working with Quick Start: Google Cloud
    • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
    • Data Visualization e manipolazione dei dati con Tableau: Università di Napoli Federico II
    • Practical AI for Professionals: Northeastern University
    • PySpark Foundations: Process, analyze, and summarize data: Coursera Project Network
    • Deep Neural Network for Beginners Using Python: Packt

    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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