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    Results for "advanced statistics"

    • U

      University of California, Irvine

      Salesforce Fundamentals

      Skills you'll gain: Salesforce, Data Quality, Data Modeling, Data Integration, Business Process Automation, Salesforce Development, Email Marketing, Data Security, Data Cleansing, Data Management, Process Design, User Accounts, Customer Relationship Management (CRM) Software, Customer Engagement, Dashboard, Customer Relationship Management, Business Reporting, Administration, Automation, Role-Based Access Control (RBAC)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      255 reviews

      Beginner · Specialization · 1 - 3 Months

    • R

      Rice University

      Portfolio Selection and Risk Management

      Skills you'll gain: Portfolio Management, Investment Management, Investments, Financial Market, Risk Management, Equities, Finance, Return On Investment, Risk Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Decision Making, Quantitative Research, Variance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      608 reviews

      Mixed · Course · 1 - 3 Months

    • L

      Ludwig-Maximilians-Universität München (LMU)

      Strategic Organization Design

      Skills you'll gain: Organizational Structure, Organizational Strategy, Organizational Effectiveness, Strategic Thinking, Corporate Strategy, Strategic Leadership, Process Design, Business Strategy, Business Management, Strategic Decision-Making, Strategic Planning, Systems Thinking, Growth Strategies, Decision Making, Innovation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      297 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Relational Database Design

      Skills you'll gain: Database Design, Database Management Systems, Relational Databases, Database Management, Database Architecture and Administration, Databases, Data Modeling, Data Integrity, Dependency Analysis, Technical Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      294 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Cape Town

      Julia Scientific Programming

      Skills you'll gain: Box Plots, Jupyter, Statistical Analysis, Data Visualization, Scientific Visualization, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Data Science, Other Programming Languages, Data Import/Export, Computer Programming, Mathematical Modeling, Package and Software Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      433 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Vector Calculus for Engineers

      Skills you'll gain: Integral Calculus, Engineering Calculations, Calculus, Engineering Analysis, Engineering, Geometry, Advanced Mathematics, Mechanical Engineering, Applied Mathematics, Electrical Engineering, Physics, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • I

      ISC2

      Access Control Concepts

      Skills you'll gain: Security Controls, Role-Based Access Control (RBAC), Authorization (Computing), Cyber Security Policies, Identity and Access Management, Data Access, Security Awareness, Authentications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Professional IQ: Preventing and Solving Problems at Work

      Skills you'll gain: Active Listening, Influencing, Negotiation, Leadership, Professional Development, Social Skills, Personal Development, Conflict Management, Decision Making, Persuasive Communication, Relationship Building, Business Ethics, Professionalism, Leadership Development, Communication, Strong Work Ethic, Ethical Standards And Conduct, Interpersonal Communications, Empathy, Business Leadership

      4.6
      Rating, 4.6 out of 5 stars
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      124 reviews

      Beginner · Specialization · 3 - 6 Months

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      Coursera Project Network

      Create your e-commerce store with Shopify

      Skills you'll gain: Order Processing, Order Management, Inventory Management System, Inventory Control, Customer Relationship Management, E-Commerce, Web Analytics, Retail Management, Product Management, Content Management Systems, Dashboard

      4.5
      Rating, 4.5 out of 5 stars
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      547 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Social Media Advertising

      Skills you'll gain: Social Media, Online Advertising, Digital Advertising, Social Media Marketing, Social Media Strategy, Advertising, Advertising Campaigns, Web Analytics, Content Performance Analysis, Facebook, Paid media, Instagram, Marketing Communications, Target Audience, Business Ethics, Brand Awareness, Customer Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      319 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Introduction to Predictive Modeling

      Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Data Cleansing, Statistical Methods, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      134 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      986 reviews

      Beginner · Specialization · 3 - 6 Months

    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

    • Salesforce Fundamentals: University of California, Irvine
    • Portfolio Selection and Risk Management: Rice University
    • Strategic Organization Design: Ludwig-Maximilians-Universität München (LMU)
    • Relational Database Design: University of Colorado Boulder
    • Julia Scientific Programming: University of Cape Town
    • Vector Calculus for Engineers: The Hong Kong University of Science and Technology
    • Access Control Concepts: ISC2
    • Professional IQ: Preventing and Solving Problems at Work: University of Illinois Urbana-Champaign
    • Create your e-commerce store with Shopify: Coursera Project Network
    • Social Media Advertising: University of Colorado Boulder

    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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