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    Results for "advanced statistics"

    • U

      University of Colorado System

      Applied Kalman Filtering

      Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Advanced Mathematics, Simulations, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Global Positioning Systems, Simulation and Simulation Software, Probability & Statistics, System Implementation, Systems Of Measurement, Statistical Methods, Differential Equations, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      Foundations of 3D Modelling in Blender

      Skills you'll gain: 3D Modeling, Computer Graphics, Animation and Game Design, Content Management, User Interface (UI)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 3 - 6 Months

    • L

      LearnQuest

      Demand Forecasting Using Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Predictive Modeling, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling

      3.4
      Rating, 3.4 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Mastering Advanced Pivot Tables in Excel

      Skills you'll gain: Pivot Tables And Charts, Microsoft Excel, Dashboard, Business Reporting, Interactive Data Visualization, Data Visualization, Data Import/Export, Data Cleansing, Timelines

      Intermediate · Course · 3 - 6 Months

    • M

      Macquarie University

      Judgmental Business Forecasting in Excel

      Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Business Metrics, Strategic Thinking, Business Economics, Key Performance Indicators (KPIs), Exploratory Data Analysis, Microsoft Excel, Decision Making, Statistical Methods, Regression Analysis, Data Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 1

      Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 3 Months

    • E

      EDUCBA

      Embedded Systems using C

      Skills you'll gain: C (Programming Language), Embedded Systems, Embedded Software, Debugging, System Programming, Microarchitecture, Computer Architecture, Data Structures, Computer Hardware, Peripheral Devices

      3.8
      Rating, 3.8 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IESE Business School

      Persuasive Communication

      Skills you'll gain: Persuasive Communication, Public Speaking, Verbal Communication Skills, Communication, Storytelling, Influencing, Business Communication, Leadership, Trustworthiness, Emotional Intelligence, Organizational Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 3 Months

    • C

      CertNexus

      Detect and Mitigate Ethical Risks

      Skills you'll gain: Data Ethics, Accountability, Risk Management, Operational Risk, Risk Analysis, Business Risk Management, Information Privacy, Risk Mitigation, Safety and Security, Ethical Standards And Conduct, Artificial Intelligence, Stakeholder Engagement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      91 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidade de São Paulo

      Estatística não-paramétrica para a tomada de decisão

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      138 reviews

      Intermediate · Course · 1 - 3 Months

    • L

      LearnKartS

      CEH (v12) Practice Projects and Exam Simulators

      Skills you'll gain: Penetration Testing, Cyber Security Assessment, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Network Security, Scenario Testing, Malware Protection, Encryption, Test Case

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    advanced statistical analysis and tools
    seaborn: visualizing basics to advanced statistical plots
    advanced probability and statistical methods
    statistical analysis and advanced techniques
    advanced linear models for data science 2: statistical linear models
    1…939495…264

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

    • Applied Kalman Filtering: University of Colorado System
    • Foundations of 3D Modelling in Blender: Packt
    • Demand Forecasting Using Time Series: LearnQuest
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Mastering Advanced Pivot Tables in Excel: Packt
    • Judgmental Business Forecasting in Excel: Macquarie University
    • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
    • Embedded Systems using C: EDUCBA
    • Persuasive Communication: IESE Business School
    • Detect and Mitigate Ethical Risks: CertNexus

    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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