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    Results for "advanced statistics"

    • L

      L&T EduTech

      Mastering Geospatial Analysis with QGIS

      Skills you'll gain: Spatial Analysis, GIS Software, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Building Information Modeling, Data Manipulation, Global Positioning Systems, Network Analysis, Image Analysis, Data Import/Export, Unsupervised Learning, Software Installation, Supervised Learning, UI Components

      4
      Rating, 4 out of 5 stars
      ·
      20 reviews

      Advanced · Course · 1 - 3 Months

    • E

      Edureka

      Gen AI for Fraud Detection Analytics

      Skills you'll gain: Generative AI, Data Ethics, Anomaly Detection, Personally Identifiable Information, Advanced Analytics, Threat Detection, Artificial Intelligence, Regulatory Compliance, Deep Learning, Data Security, Applied Machine Learning, Information Privacy, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      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, Machine Learning Methods, Risk Modeling, Threat Detection, Supervised Learning, Advanced Analytics, Predictive Modeling, Predictive Analytics, Transaction Processing

      4
      Rating, 4 out of 5 stars
      ·
      21 reviews

      Intermediate · Project · Less Than 2 Hours

    • N

      Novartis

      Preclinical Safety

      Skills you'll gain: Patient Safety, Pharmacology, Clinical Research, Clinical Trials, Pharmaceuticals, Laboratory Testing, Risk Analysis, Regulatory Compliance

      5
      Rating, 5 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Novartis

      Targets, Assays & Screening

      Skills you'll gain: Pharmaceuticals, Pharmacology, Laboratory Research, Clinical Research, Medical Science and Research, Biochemistry, Verification And Validation, Chemistry, Molecular Biology, Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Michigan

      AI for Design and Optimization

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Computer-Aided Design, Design Thinking, Technical Design, Machine Learning Methods, Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Machine Learning Algorithms, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Alteryx for Beginners

      Skills you'll gain: Alteryx, Spatial Data Analysis, Spatial Analysis, Data Transformation, Data Cleansing, Data Import/Export, Data Presentation, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Visualization Software, Data Mapping, Data Analysis, Data Integration, Text Mining, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Certified Information Security Manager (CISM)

      Skills you'll gain: Security Management, Incident Management, Threat Management, Compliance Management, Regulatory Compliance, Risk Management, Security Strategy, Cybersecurity, Cyber Security Policies, Cyber Security Assessment, Security Controls, Vulnerability Assessments, Governance, Security Awareness, Disaster Recovery, Business Continuity, Organizational Strategy

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Edinburgh

      The Discovery of the Higgs Boson

      Skills you'll gain: Physics, Mechanics, Scientific Methods, Advanced Mathematics, Mathematical Modeling, Simulation and Simulation Software, Research, Scientific Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EDUCBA

      MongoDB: The Complete Guide to NoSQL Database Development

      Skills you'll gain: MongoDB, Restful API, API Design, NoSQL, Database Development, Node.JS, Query Languages, Database Management, Distributed Computing, Database Design, Database Architecture and Administration, Performance Tuning, Data Architecture, Scalability, Data Modeling, Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Алгоритмы, часть I

      Skills you'll gain: Data Structures, Algorithms, Java, Computer Programming, Object Oriented Programming (OOP), Theoretical Computer Science, Spatial Analysis, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 3 - 6 Months

    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…101102103…264

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

    • Mastering Geospatial Analysis with QGIS: L&T EduTech
    • Gen AI for Fraud Detection Analytics: Edureka
    • Fraud Detection on Financial Transactions with Machine Learning on Google Cloud: Google Cloud
    • Preclinical Safety: Novartis
    • Targets, Assays & Screening: Novartis
    • AI for Design and Optimization: University of Michigan
    • Alteryx for Beginners: Packt
    • Certified Information Security Manager (CISM): Packt
    • The Discovery of the Higgs Boson: The University of Edinburgh
    • Data Analysis for Managerial Decision-Making: Rice University

    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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