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    • Advanced Statistics

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    451 results for "advanced statistics"

    • Free

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      Stanford University

      Introduction to Statistics

      Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.6

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Deep Learning, Tensorflow, Machine Learning, Python Programming, Applied Machine Learning, Computer Programming, Statistical Programming, Computer Vision, Artificial Neural Networks, Computer Architecture, Computer Networking, Distributed Computing Architecture, Machine Learning Algorithms, Machine Learning Software, Mathematics, Network Architecture, Network Model, Basic Descriptive Statistics, Computer Graphic Techniques, Computer Graphics, Data Analysis, Probability & Statistics, Programming Principles

      4.8

      (1.2k reviews)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Advanced Data Science with IBM

      Skills you'll gain: Machine Learning, Data Management, Statistical Programming, Python Programming, Machine Learning Algorithms, Apache, Deep Learning, Machine Learning Software, Artificial Neural Networks, Probability & Statistics, Cloud Computing, Statistical Machine Learning, Extract, Transform, Load, Basic Descriptive Statistics, General Statistics, IBM Cloud, Data Model, Applied Machine Learning, Data Analysis, Data Visualization, Dimensionality Reduction, SQL, Statistical Visualization, Feature Engineering, Linear Algebra, Mathematics, Natural Language Processing, Tensorflow, Bayesian Network, Cloud Platforms, Cloud Storage, Computer Vision, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, NoSQL, Plot (Graphics), Probability Distribution, R Programming, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Internet Of Things, Leadership and Management, Programming Principles, Statistical Analysis, Strategy and Operations, Theoretical Computer Science

      4.3

      (3k reviews)

      Advanced · Specialization · 3-6 Months

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      University of Michigan

      Statistics with Python

      Skills you'll gain: Probability & Statistics, General Statistics, Statistical Programming, Python Programming, Data Science, Business Analysis, Regression, Computer Programming, Data Analysis, Statistical Analysis, Statistical Tests, Experiment, Machine Learning, Machine Learning Algorithms, Econometrics, Data Visualization, Statistical Visualization, Bayesian Statistics, Correlation And Dependence, Data Analysis Software, Estimation, Basic Descriptive Statistics, Mathematics, Plot (Graphics), Programming Principles

      4.6

      (3k reviews)

      Beginner · Specialization · 1-3 Months

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      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: R Programming, Statistical Programming, General Statistics, Statistical Analysis, Data Analysis, Machine Learning, Probability & Statistics, Statistical Tests, Data Science, Machine Learning Software, Basic Descriptive Statistics, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Linear Algebra, Regression, Exploratory Data Analysis, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Probability Distribution, Plot (Graphics), Machine Learning Algorithms, Algorithms, Applied Machine Learning, Business Analysis

      4.4

      (7.1k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Advanced Business Analytics

      Skills you'll gain: Data Analysis, Business Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Machine Learning, Regression, Basic Descriptive Statistics, Exploratory Data Analysis, Machine Learning Algorithms, Plot (Graphics), Database Design, Database Theory, Databases, Data Management, Big Data, Correlation And Dependence, Data Analysis Software, Data Visualization, Markov Model, Data Model, Data Structures, Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Dimensionality Reduction, Mathematics, Probability Distribution, Spreadsheet Software, Statistical Visualization, Theoretical Computer Science, Business Intelligence, Cloud Computing, Financial Analysis, SQL, Statistical Programming

      4.6

      (4.9k reviews)

      Intermediate · Specialization · 3-6 Months

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      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Machine Learning, Cloud Computing, Google Cloud Platform, Cloud Platforms, Probability & Statistics, Business Psychology, General Statistics, Deep Learning, Entrepreneurship, Natural Language Processing, Statistical Programming, Apache, Cloud Applications, Data Management, Machine Learning Software, Python Programming, Reinforcement Learning, Tensorflow, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Vision, Performance Management, Strategy and Operations, Applied Machine Learning, Cloud API, Computational Thinking, Computer Architecture, Computer Programming, Data Analysis, Data Engineering, Distributed Computing Architecture, Hardware Design, Machine Learning Algorithms, Other Cloud Platforms and Tools, Theoretical Computer Science

      4.5

      (1.4k reviews)

      Advanced · Specialization · 3-6 Months

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      Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Skills you'll gain: Algebra, Mathematics, Linear Algebra

      4.8

      (330 reviews)

      Beginner · Course · 1-3 Months

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      Free

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      Peking University

      Advanced Neurobiology I

      Skills you'll gain: Accounting, Communication, Entrepreneurship, Probability & Statistics, Business Analysis, Data Analysis, Data Management, Market Research, Marketing, Mathematics, Research and Design, Algebra, Biostatistics, Business Communication, Business Psychology, Experiment, Human Resources, Market Analysis, Accounting Software, Applied Mathematics, Behavioral Economics, Benefits, Big Data, Bioinformatics, Business Process Management, Calculus, Clinical Data Management, Computer Architecture, Corporate Accouting, Data Analysis Software, Financial Analysis, General Accounting, Hardware Design, Human Learning, Marketing Management, Spreadsheet Software, Statistical Analysis, Strategy and Operations, Training, Writing

      4.1

      (540 reviews)

      Intermediate · Course · 1-3 Months

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      IBM Skills Network

      Advanced Machine Learning and Signal Processing

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Machine Learning Software, Python Programming, Statistical Programming, Apache, Data Management, Extract, Transform, Load, Feature Engineering, Probability & Statistics, Bayesian Network, Dimensionality Reduction, Probability Distribution, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Graphic Techniques, Computer Graphics, Data Structures, Estimation, Leadership and Management, Statistical Machine Learning, Strategy and Operations, Theoretical Computer Science

      4.5

      (1.2k reviews)

      Advanced · Course · 1-4 Weeks

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      Johns Hopkins University

      Clinical Trials Management and Advanced Operations

      Skills you'll gain: Experiment, General Statistics, Probability & Statistics, Research and Design, Clinical Data Management, Data Management, Finance, Regulations and Compliance, Communication, Data Analysis, Entrepreneurship, Leadership and Management, Marketing, Operations Management, Planning, Sales, Strategy, Strategy and Operations, Supply Chain and Logistics, Visual Design

      4.6

      (14 reviews)

      Beginner · Course · 1-3 Months

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      EDHEC Business School

      Advanced Portfolio Construction and Analysis with Python

      Skills you'll gain: Computer Programming, Data Analysis, Data Analysis Software, Finance, Investment Management, Python Programming, Statistical Programming, Accounting, Business Analysis, Financial Analysis, Leadership and Management, Probability & Statistics, Regression, Risk Management

      4.8

      (462 reviews)

      Intermediate · Course · 1-4 Weeks

    Searches related to advanced statistics

    advanced statistics for data science
    advanced linear models for data science 2: statistical linear models
    1234…38

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

    • Introduction to Statistics: Stanford University
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Advanced Data Science with IBM: IBM Skills Network
    • Statistics with Python: University of Michigan
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Advanced Business Analytics: University of Colorado Boulder
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
    • Advanced Neurobiology I: Peking University
    • Advanced Machine Learning and Signal Processing: IBM Skills Network

    Frequently Asked Questions about Advanced Statistics

    • Advanced statistics are the mathematical tools used to discover and explore complex relationships between different variables in large datasets. In contrast to basic statistics such as average and analysis of variance (ANOVA) that simply describe the characteristics of a dataset, advanced statistical approaches often seek to make predictions about the world. This requires the use of more sophisticated statistical inference tools, such as generalized linear models for regression analysis capable of establishing how multiple interrelated factors may impact projected outcomes.

      These advanced statistical methods are increasingly important in the field of data science, which is tasked with uncovering important business insights and developing predictive models from diverse big data-scale datasets. These techniques are also especially important for the proper training and use of machine learning algorithms. As in data science and machine learning more generally, R programming and Python programming skills are typically relied upon to conduct these advanced statistical analyses.‎

    • Advanced statistics skills are essential for work in data science, machine learning, and artificial intelligence (AI), as statistical approaches are at the heart of the learning algorithms that make these applications possible. An understanding of statistics is likewise important for professionals in finance, healthcare, and other industries that are increasingly making use of machine learning and AI, as they increasingly need to work closely with data scientists to ensure that these powerful techniques are developed to solve the right business problems.

      Those wishing to delve deeper into advanced statistical methods and help develop new mathematical approaches in the field may pursue a master’s or even a PhD in statistics. These experts work in academia, government, or at private sector companies involved in scientific or engineering research. According to the Bureau of Labor Statistics, professional statisticians earn a median annual salary of $91,160, and this specialized career path is expected to be in high demand due to expanding opportunities to use statistics to navigate our data-rich world.‎

    • Certainly. Coursera offers a variety of courses in advanced statistics as well as their applications in the context of fields like data science and machine learning. In fact, coursework in statistics is often a prerequisite for data science classes. Regardless of your level of expertise and needs in these areas, Coursera enables you to learn remotely from top-ranked schools like the University of Michigan, Johns Hopkins University, and Duke University. And, since you can view course materials and complete coursework on a flexible schedule, there’s an exceedingly high probability that you can fit online learning about advanced statistics into your existing school or work life.‎

    • You need to have strong math skills, especially in basic calculus, linear algebra, and statistics before starting to learn advanced statistics. It's important that you have strong technical skills and are very comfortable on the computer, strong analytical skills, and the ability to carefully examine and question data that is presented to you so that you can organize and draw conclusions from it. For learning some concepts in advanced statistics, you'll need to have experience using the R statistical software package and understand Bayesian estimation, principles of maximum-likelihood estimation, and calculus-based probability.‎

    • People who enjoy mathematics are best suited for roles in advanced statistics, especially those who enjoy concepts like probability, linear models, and statistics and how they relate to data science. They can quickly grasp and apply complex technical concepts as well. Those who enjoy testing hypotheses and figuring out uncertain outcomes based on probability are also well suited for roles in advanced statistics. Also, people who have wide-ranging computer skills, the ability to communicate their statistical findings in plain language, problem-solving and analytical skills, and teamwork and collaborative skills are best suited for roles involving advanced statistics.‎

    • If you're aspiring to be a biostatistician or data scientist, learning advanced statistics is probably right for you. If you're interested in machine learning and the development of data products, you may also find learning advanced statistics is right for you. People who want to have a career as a statistician, statistical epidemiologist, sports analyst, actuary, market researcher, or investment analyst may also find learning advanced statistics to be the right choice. And if you need to understand how to transform complex sets of data into practical applications, learning advanced statistics is right for you.‎

    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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