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    Results for "advanced statistics"

    • Status: Free Trial
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      IBM

      GenAI for Executives & Business Leaders: An Introduction

      Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Business Transformation, Business Leadership, Business Ethics, Governance, Digital Transformation, Data-Driven Decision-Making, Business Strategies, Customer experience improvement, Customer Service

      4.7
      Rating, 4.7 out of 5 stars
      ·
      391 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Advanced Business Analytics: Excel Optimization & Simulation

      Skills you'll gain: Resource Allocation, Simulation and Simulation Software, Microsoft Excel, Business Analytics, Data-Driven Decision-Making, Operational Analysis, Transportation Operations, Analytics, Business Operations, Risk Analysis, Process Optimization, Statistical Methods, Business Modeling, Logistics

      4.9
      Rating, 4.9 out of 5 stars
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      24 reviews

      Mixed · Course · 1 - 3 Months

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      Free Trial
      K

      Kennesaw State University

      Six Sigma Advanced Analyze Phase

      Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Process Analysis, Statistical Methods, Statistical Analysis, Statistics, Data Analysis, Analytical Skills, Variance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      957 reviews

      Intermediate · Course · 1 - 4 Weeks

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      Free Trial
      U

      University of California, Irvine

      Leverage Data Science for a More Agile Supply Chain

      Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Inventory Management System, Inventory Control, Supply Chain Management, Capacity Planning, Materials Management, Process Optimization, Forecasting, Operations Management, Resource Allocation, Service Level, Capacity Management, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Cost Reduction, Simulation and Simulation Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      431 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Lausanne

      Accounting 1

      Skills you'll gain: Balance Sheet, Income Statement, Cash Flows, Financial Accounting, Financial Statements, Accounting, Bookkeeping, Working Capital, General Accounting, Accrual Accounting, Financial Reporting, Financial Analysis, Ledgers (Accounting), Profit and Loss (P&L) Management, Accounts Payable and Receivable, Reconciliation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      179 reviews

      Beginner · Course · 1 - 3 Months

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      U

      University of California San Diego

      Machine Learning With Big Data

      Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning, Decision Tree Learning

      4.6
      Rating, 4.6 out of 5 stars
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      2.5K reviews

      Mixed · Course · 1 - 3 Months

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      Coursera Project Network

      Create and Design Digital Products using Canva

      Skills you'll gain: Canva (Software), Design, Digital Design, Design Elements And Principles, Product Design, Color Theory, Intellectual Property, Product Promotion, E-Commerce, Digital Assets, Marketing Materials

      4.4
      Rating, 4.4 out of 5 stars
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      1.2K reviews

      Advanced · Guided Project · Less Than 2 Hours

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      J

      Johns Hopkins University

      Advanced Data Visualization with R

      Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Plot (Graphics), Statistical Visualization, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      79 reviews

      Mixed · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Basic Vibrations

      Skills you'll gain: Vibrations, Mechanics, Mechanical Engineering, Engineering Analysis, Control Systems, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      517 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
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      Universidad Austral

      Pilares de Marketing Digital

      Skills you'll gain: Digital Marketing, Customer Relationship Management, Social Media, Digital Media Strategy, Social Media Strategy, Marketing Analytics, Marketing Strategies, Online Advertising, Web Analytics, Marketing, Sales Process, Business Analytics, Search Engine Marketing, Email Marketing, Search Engine Optimization, Content Performance Analysis, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
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      2K reviews

      Beginner · Course · 1 - 4 Weeks

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      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      681 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Time Value of Money (TVM)

      Skills you'll gain: Loans, Microsoft Excel, Finance, Capital Budgeting, Financial Analysis, Business Mathematics, General Finance, Cash Flows, Forecasting, Financial Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      936 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
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    In summary, here are 10 of our most popular advanced statistics courses

    • GenAI for Executives & Business Leaders: An Introduction: IBM
    • Advanced Business Analytics: Excel Optimization & Simulation: Johns Hopkins University
    • Six Sigma Advanced Analyze Phase: Kennesaw State University
    • Leverage Data Science for a More Agile Supply Chain: University of California, Irvine
    • Accounting 1: University of Lausanne
    • Machine Learning With Big Data: University of California San Diego
    • Create and Design Digital Products using Canva: Coursera Project Network
    • Advanced Data Visualization with R: Johns Hopkins University
    • Introduction to Basic Vibrations: Korea Advanced Institute of Science and Technology(KAIST)
    • Pilares de Marketing Digital: Universidad Austral

    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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