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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Hardware, Verification And Validation, Electronic Systems, Embedded Systems, Eclipse (Software), Application Specific Integrated Circuits, Electrical and Computer Engineering, Systems Design, Schematic Diagrams, Program Development, Integrated Development Environments, System Design and Implementation, Computer Architecture, Computational Logic, Hardware Architecture, Software Development, Development Testing, Test Case

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University at Buffalo

      Energy Production, Distribution & Safety

      Skills you'll gain: Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Environmental Regulations, Energy and Utilities, Basic Electrical Systems, Electrical Safety, Safety Training, Electrical Equipment, Occupational Safety and Health Administration (OSHA), Low Voltage, Hazard Communication (HazCom), Environment Health And Safety, Workforce Development, Economics, Construction, Project Design, Environment, Environmental Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Satisfaction Guaranteed: Develop Customer Loyalty Online

      Skills you'll gain: Loyalty Programs, Customer Retention, Customer Relationship Management, E-Commerce, Customer Service, Google Analytics, Professional Networking, Web Analytics, Marketing Analytics, Digital Marketing, Customer Insights, Generative AI Agents, Interviewing Skills, Business Metrics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Professional Skills for the Workplace

      Skills you'll gain: Problem Solving, Active Listening, Growth Mindedness, Adaptability, Emotional Intelligence, Relationship Management, Empathy, Brainstorming, Critical Thinking, Resilience, Communication Strategies, Social Skills, Creative Thinking, Professional Development, Personal Development, Constructive Feedback, Lifelong Learning, Positivity, Overcoming Obstacles, Self-Awareness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad Austral

      Fundamentos de Excel para Negocios

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Excel Formulas, Data Visualization, Data Import/Export, Data Entry, Productivity Software, Presentations, Financial Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Algorithms for Battery Management Systems

      Skills you'll gain: Electrical Safety, Electric Power Systems, Control Systems, Simulations, Estimation, Thermal Management, Power Electronics, Electronic Components, Electrical Engineering, Mathematical Modeling, Basic Electrical Systems, Energy and Utilities, Failure Analysis, Systems Engineering, Electrical Power, Matlab, Simulation and Simulation Software, Applied Mathematics, Laboratory Testing, Numerical Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Data Science for Business Innovation

      Skills you'll gain: Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Mining, Data Analysis, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      264 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Alberta

      Dino 101: Dinosaur Paleobiology

      Skills you'll gain: Biology, Physical Science, Life Sciences, Taxonomy, Environment, Scientific Methods, Research, Timelines

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

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

    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • Introduction to Machine Learning: Duke University
    • Energy Production, Distribution & Safety: University at Buffalo
    • Satisfaction Guaranteed: Develop Customer Loyalty Online: Google
    • Generative AI: Introduction and Applications: IBM
    • Professional Skills for the Workplace: University of California, Davis
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Fundamentos de Excel para Negocios: Universidad Austral
    • Algorithms for Battery Management Systems: University of Colorado Boulder
    • Convolutional Neural Networks in TensorFlow: DeepLearning.AI

    Frequently Asked Questions about Statistics For Data Science

    Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.‎

    Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.‎

    Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.‎

    Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.‎

    Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistics for Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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