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    Results for "advanced statistics"

    • Status: Free
      Free
      C

      Coursera Project Network

      Project Scheduling: Estimate Activity Durations

      Skills you'll gain: Project Estimation, Project Schedules, Work Breakdown Structure, Estimation, Scheduling, Timelines, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      194 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      Imperial College London

      Infectious Disease Modelling

      Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Infectious Diseases, R Programming, Public Health, Differential Equations, Statistical Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      293 reviews

      Intermediate · Specialization · 1 - 3 Months

    • M

      Michigan State University

      Photography Techniques: Light, Content, and Sharing

      Skills you'll gain: Photography, Photo Editing, Peer Review, Color Theory, Storytelling, Creativity, Information Privacy, Web Design and Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      ISC2

      Network Security

      Skills you'll gain: Network Security, Cybersecurity, Cyber Attacks, Infrastructure Security, Threat Detection, Computer Networking, Data Centers, General Networking, Threat Management, Network Planning And Design, Firewall, Network Protocols, Cloud Computing, TCP/IP, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      218 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Ciencia de datos​

      Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Statistical Analysis, Regression Analysis, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      509 reviews

      Beginner · Specialization · 1 - 3 Months

    • L

      L&T EduTech

      Chip based VLSI design for Industrial Applications

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Electronics, Hardware Design, Application Specific Integrated Circuits, Electronics Engineering, Serial Peripheral Interface, Computational Logic, Electrical Engineering, Computer Architecture, Schematic Diagrams, Semiconductors, Electronic Hardware, Electronic Components, Internet Of Things, Programmable Logic Controllers, Low Voltage, Embedded Software, Electronic Systems, Network Protocols, Embedded Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      107 reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Sungkyunkwan University

      A Bridge to the World: Korean Language for Advanced â… 

      Skills you'll gain: Language Learning, Oral Comprehension, Vocabulary, Culture, Language Competency, Cultural Diversity, Discussion Facilitation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      129 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Kinematics: Describing the Motions of Spacecraft

      Skills you'll gain: Mechanics, Linear Algebra, Numerical Analysis, Engineering Calculations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Applied Mathematics, Verification And Validation, Advanced Mathematics, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      332 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Charts and Dashboards Using Microsoft Excel

      Skills you'll gain: Dashboard, Microsoft Excel, Microsoft 365, Spreadsheet Software, Data Visualization, Trend Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      918 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Pattern Discovery in Data Mining

      Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Information Privacy

      4.3
      Rating, 4.3 out of 5 stars
      ·
      325 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Chemical Engineering Thermodynamics 1

      Skills you'll gain: Energy and Utilities, Chemical Engineering, Chemistry, Engineering, Process Engineering, Mechanical Engineering, Environmental Issue, Physics, Physical Science, Process Analysis, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Fundamentals of Technology Sales

      Skills you'll gain: Closing (Sales), Sales Process, Sales Presentation, Technical Sales, Sales, Sales Management, Sales Strategy, Solution Sales Engineering, Prospecting and Qualification, Emerging Technologies, Outside Sales, Inside Sales, Needs Assessment, Consultative Approaches, Negotiation, Overcoming Objections, Cloud Computing, Cybersecurity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to advanced statistics

    advanced statistics for data science
    advanced quantitative statistics with excel
    1…495051…263

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

    • Project Scheduling: Estimate Activity Durations: Coursera Project Network
    • Infectious Disease Modelling: Imperial College London
    • Photography Techniques: Light, Content, and Sharing: Michigan State University
    • Network Security: ISC2
    • Ciencia de datos​: Universidad de los Andes
    • Chip based VLSI design for Industrial Applications: L&T EduTech
    • A Bridge to the World: Korean Language for Advanced â… : Sungkyunkwan University
    • Kinematics: Describing the Motions of Spacecraft: University of Colorado Boulder
    • Create Charts and Dashboards Using Microsoft Excel: Coursera Project Network
    • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign

    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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