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    Results for "advanced statistics"

    • U

      University of Colorado Boulder

      Industrial IoT Markets and Security

      Skills you'll gain: Real-Time Operating Systems, Internet Of Things, General Networking, Telecommunications, IBM Cloud, Wireless Networks, Security Engineering, Cloud Platforms, Infrastructure Security, Computer Networking, Market Dynamics, Emerging Technologies, Market Analysis, Encryption, Automation, Software-Defined Networking, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      583 reviews

      Intermediate · Course · 1 - 3 Months

    • B

      Board Infinity

      SAFe Fundamentals

      Skills you'll gain: Scaled Agile Framework, Lean Methodologies, Backlogs, Agile Methodology, Sprint Planning, Agile Product Development, Process Improvement and Optimization, Cross-Functional Collaboration, Continuous Improvement Process, Performance Measurement, Quality Assurance, Data-Driven Decision-Making, Team Management, Agile Project Management, Sprint Retrospectives, Risk Management, Continuous Integration, Kanban Principles, Release Management, User Story

      3.7
      Rating, 3.7 out of 5 stars
      ·
      112 reviews

      Beginner · Specialization · 1 - 3 Months

    • B

      Board Infinity

      Mastering Laravel Framework and PHP

      Skills you'll gain: PHP (Scripting Language), Object-Relational Mapping, Web Applications, Web Development, Model View Controller, Application Frameworks, Database Management, Relational Databases, Back-End Web Development, Application Security, Server Side, Middleware, Application Programming Interface (API), Authentications

      4.3
      Rating, 4.3 out of 5 stars
      ·
      156 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      87 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, NumPy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Materials Science for Advanced Technological Applications

      Skills you'll gain: Semiconductors, Basic Electrical Systems, Electronic Components, Mechanical Engineering, Electrical Engineering, Electronics, Process Engineering, Thermal Management, Structural Analysis, Chemical Engineering, Manufacturing Processes, Chemistry, Failure Analysis, Engineering Analysis, Process Control, Physical Science, Physics, Engineering Calculations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      177 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics with R

      Skills you'll gain: Tidyverse (R Package), Data Processing, Business Analytics, Data Wrangling, Data Transformation, Business Intelligence, Data Manipulation, R Programming, Business Process, Exploratory Data Analysis, Data Visualization, Data Analysis, Statistical Programming, Data-Driven Decision-Making, Data Import/Export

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      284 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Ingeniería de Tráfico

      Skills you'll gain: Civil Engineering, Control Systems, Process Analysis, Engineering Analysis, Mathematical Modeling, Simulations, Spatial Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      440 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Institute for the Future

      Forecasting Skills: See the Future Before it Happens

      Skills you'll gain: Forecasting, Visionary, Proactivity, Strategic Thinking, Trend Analysis, Market Trend, Storytelling, Creative Thinking, Adaptability, Critical Thinking, Emerging Technologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      496 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northwestern University

      Modern Robotics, Course 3: Robot Dynamics

      Skills you'll gain: Mathematical Software, Simulation and Simulation Software, Mathematical Modeling, Automation Engineering, Mechanical Engineering, Vibrations, Numerical Analysis, Engineering Calculations, Engineering, Mechanics, Algorithms, Torque (Physics), Differential Equations, Control Systems, Applied Mathematics, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      169 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Simulation Models for Decision Making

      Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Business Mathematics, Microsoft Excel, Operations Research, Complex Problem Solving, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Strategic Thinking, Analysis, Statistical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      54 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

    • Industrial IoT Markets and Security: University of Colorado Boulder
    • SAFe Fundamentals: Board Infinity
    • Mastering Laravel Framework and PHP: Board Infinity
    • Data Analysis with Tableau: Tableau Learning Partner
    • Python for Data Analytics: DeepLearning.AI
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Materials Science for Advanced Technological Applications: Arizona State University
    • Introduction to Business Analytics with R: University of Illinois Urbana-Champaign
    • Ingeniería de Tráfico: Pontificia Universidad Católica de Chile
    • Forecasting Skills: See the Future Before it Happens: Institute for the Future

    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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