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    Results for "advanced statistics"

    • Status: New
      New
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      Vanderbilt University

      Chat with Your Data: Generative AI-Powered SQL Data Analysis

      Skills you'll gain: SQL, Generative AI, Data Visualization, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making, Exploratory Data Analysis, ChatGPT, Prompt Engineering, Databases

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Universidade de São Paulo

      Redes Ecológicas

      Skills you'll gain: Network Analysis, Data Visualization, Scientific Visualization, Analysis, Graph Theory, Exploratory Data Analysis, Environmental Science, R Programming, Data Analysis Software, Mathematical Modeling, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Amazon

      Database Management with Java and SQL

      Skills you'll gain: SQL, Database Management, MySQL, Relational Databases, Database Systems, Query Languages, Databases, Database Application, Database Design, Data Access, Java, User Interface (UI)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Microsoft

      PMP Formulas

      Skills you'll gain: Earned Value Management, Project Schedules, Excel Formulas, Procurement, Scheduling, Financial Analysis, Project Performance, Spreadsheet Software, Cost Management, Project Estimation, Microsoft Excel, Investment Management, Project Management Institute (PMI) Methodology, Return On Investment, Variance Analysis, Forecasting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Packt

      Foundations of 3D Modelling in Blender

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 3 - 6 Months

    • IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      SkillUp EdTech

      ASQ-Certified Six Sigma Black Belt (CSSBB) Exam Prep

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Lean Methodologies, Team Motivation, Process Improvement, Six Sigma Methodology, Kaizen Methodology, Process Capability, Risk Analysis, Team Leadership, Quality Improvement, Team Management, Benchmarking, Motivational Skills, Performance Measurement, Change Management, Process Analysis, Statistical Analysis, Continuous Improvement Process, Organizational Change

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 1 - 3 Months

    • École Polytechnique Fédérale de Lausanne

      Éléments de Géomatique

      Skills you'll gain: Spatial Data Analysis, Geospatial Mapping, Geospatial Information and Technology, Geographic Information Systems, Spatial Analysis, GIS Software, Global Positioning Systems, Land Development, 3D Modeling, Survey Creation, Systems Of Measurement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      141 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      University of Colorado Boulder

      Advanced Data Structures, RSA and Quantum Algorithms

      Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Computational Thinking, Linear Algebra, Emerging Technologies, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New

      Packt

      Communication Skills

      Skills you'll gain: Active Listening, Communication, Communication Strategies, Influencing, Verbal Communication Skills, Interpersonal Communications, Persuasive Communication, Writing, Business Writing, Motivational Skills, Non-Verbal Communication, Empathy, Decision Making, Collaboration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Risk Modeling, Machine Learning Methods, Threat Detection, Supervised Learning, Advanced Analytics, Predictive Modeling, Predictive Analytics, Transaction Processing

      4
      Rating, 4 out of 5 stars
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      21 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial

      University of California, Irvine

      Mobile Marketing, Optimization Tactics, and Analytics

      Skills you'll gain: Marketing Analytics, Key Performance Indicators (KPIs), Marketing Effectiveness, A/B Testing, Web Analytics, Google Analytics, Digital Marketing, Customer experience improvement, Performance Measurement, Marketing Strategies, Mobile Security, Process Optimization, Web Applications, Target Audience

      4.5
      Rating, 4.5 out of 5 stars
      ·
      46 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

    • Chat with Your Data: Generative AI-Powered SQL Data Analysis: Vanderbilt University
    • Redes Ecológicas: Universidade de São Paulo
    • Database Management with Java and SQL: Amazon
    • PMP Formulas: Microsoft
    • Foundations of 3D Modelling in Blender: Packt
    • Specialized Models: Time Series and Survival Analysis: IBM
    • ASQ-Certified Six Sigma Black Belt (CSSBB) Exam Prep: SkillUp EdTech
    • Éléments de Géomatique: École Polytechnique Fédérale de Lausanne
    • Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder
    • Communication Skills: Packt

    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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