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    Results for "advanced statistics"

    • T

      Tecnológico de Monterrey

      Analíticas y Métricas de Marketing

      Skills you'll gain: Web Analytics, Google Analytics, Web Analytics and SEO, Marketing Analytics, Marketing Effectiveness, Content Performance Analysis, Digital Marketing, Business Metrics, Target Audience, Analytics, Performance Measurement, Key Performance Indicators (KPIs), Competitive Analysis, User Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      175 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      Y

      Yonsei University

      Deep Learning for Business

      Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Business Strategy, Image Analysis, Natural Language Processing, Artificial Intelligence, Machine Learning, Reinforcement Learning, Unsupervised Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      680 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Probability & Statistics, Statistical Reporting, Sampling (Statistics), Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Advanced Concepts in Time Value of Money (TVM)

      Skills you'll gain: Loans, Finance, Mortgage Loans, Financial Modeling, Financial Management, Financial Planning, Microsoft Excel, Financial Analysis, Investment Management, Complex Problem Solving, Spreadsheet Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Advanced Cybersecurity Concepts and Capstone Project

      Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Threat Management, Cybersecurity, Application Security, Threat Detection, Security Strategy, Microsoft Azure, Cloud Security, Internet Of Things, Secure Coding, Network Security, Security Controls, Data Security, Identity and Access Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      Camera and Imaging

      Skills you'll gain: Image Analysis, Computer Vision, Photography, Color Theory, Computer Graphics, Visualization (Computer Graphics), Electronic Components, Semiconductors, Algorithms, Linear Algebra, Advanced Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      142 reviews

      Beginner · Course · 1 - 3 Months

    • L

      L&T EduTech

      Fundamentals of Digital Design for VLSI Chip Design

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Application Specific Integrated Circuits, Computational Logic, Computer Architecture, Hardware Design, Electronics Engineering, Electronics, Programmable Logic Controllers, Electronic Systems, Semiconductors, Electronic Components, Data Storage, Data Storage Technologies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      86 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Using Advanced SWOT Analysis to Determine Competitiveness

      Skills you'll gain: Strategic Prioritization, Competitive Analysis, Prioritization, Strategic Planning, Strategic Thinking, Business Strategy, Spreadsheet Software, Strategic Decision-Making, Market Analysis, Organizational Effectiveness, Internal Auditing, External Auditing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • T

      The State University of New York

      Strategic Career Self-Management

      Skills you'll gain: Job Analysis, Adaptability, Professional Development, Personal Development, Lifelong Learning, Brand Management, Talent Management, Branding, Gap Analysis, Competitive Analysis, Self-Awareness, Proactivity, Dashboard, Goal Setting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      304 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Sydney

      eHealth: More than just an electronic record

      Skills you'll gain: Health Technology, Health Informatics, Health Care, Electronic Medical Record, Care Coordination, Healthcare Industry Knowledge, Telehealth, Health Information Management, Patient Education and Support, Interoperability, Data Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      327 reviews

      Mixed · Course · 1 - 3 Months

    • R

      Rice University

      Physics 101 - Rotational Motion and Gravitation

      Skills you'll gain: Torque (Physics), Mechanics, Physics, Geometry, Algebra, Trigonometry, Calculus, Mathematical Modeling, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The University of Sydney

      Introduction to Linear Algebra

      Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…798081…263

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

    • Analíticas y Métricas de Marketing: Tecnológico de Monterrey
    • Deep Learning for Business: Yonsei University
    • How to Describe Data: University of Michigan
    • Advanced Concepts in Time Value of Money (TVM): University of Michigan
    • Advanced Cybersecurity Concepts and Capstone Project: Microsoft
    • Camera and Imaging: Columbia University
    • Fundamentals of Digital Design for VLSI Chip Design: L&T EduTech
    • Using Advanced SWOT Analysis to Determine Competitiveness: Coursera Project Network
    • Strategic Career Self-Management: The State University of New York
    • eHealth: More than just an electronic record: The University of Sydney

    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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