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Time Series Analysis 課程

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Master of FinanceHSE University
HSE University
Master of Data and Network AnalyticsHSE University
IBM
IBM Machine LearningIBM
University of Michigan
Master of Applied Data ScienceUniversity of Michigan
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HSE University
Master of FinanceHSE University
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“time series analysis”共返回 208 條結果

  • Practical Time Series Analysis by The State University of New York
    Practical Time Series Analysis
    The State University of New York
    課程
    評分為 4.6(滿分 5 星)。 1198 條評論
    4.6(1,198)
    50k 名學生
    Intermediate LevelIntermediate
  • Intro to Time Series Analysis in R by Coursera Project Network
    Intro to Time Series Analysis in R
    Coursera Project Network

    新

    指導項目
    評分為 4.5(滿分 5 星)。 205 條評論
    4.5(205)
    5.2k 名學生
    Beginner LevelBeginner
  • Sequences, Time Series and Prediction by DeepLearning.AI
    Sequences, Time Series and Prediction
    DeepLearning.AI
    課程
    評分為 4.6(滿分 5 星)。 3549 條評論
    4.6(3,549)
    69k 名學生
    Intermediate LevelIntermediate
  • Compare time series predictions of COVID-19 deaths by Coursera Project Network
    Compare time series predictions of COVID-19 deaths
    Coursera Project Network

    新

    指導項目
    評分為 4.5(滿分 5 星)。 11 條評論
    4.5(11)
    Intermediate LevelIntermediate
  • Machine Learning and Reinforcement Learning in Finance by New York University
    Machine Learning and Reinforcement Learning in Finance
    New York University
    專項課程
    評分為 3.7(滿分 5 星)。 654 條評論
    3.7(654)
    34k 名學生
    Intermediate LevelIntermediate
  • Anomaly Detection in Time Series Data with Keras by Coursera Project Network
    Anomaly Detection in Time Series Data with Keras
    Coursera Project Network

    新

    指導項目
    評分為 4.2(滿分 5 星)。 198 條評論
    4.2(198)
    6.9k 名學生
    Intermediate LevelIntermediate
  • Econometrics: Methods and Applications by Erasmus University Rotterdam
    Econometrics: Methods and Applications
    Erasmus University Rotterdam
    課程
    評分為 4.6(滿分 5 星)。 1010 條評論
    4.6(1,010)
    130k 名學生
    Mixed LevelMixed
  • Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology
    Python and Statistics for Financial Analysis
    The Hong Kong University of Science and Technology
    課程
    評分為 4.4(滿分 5 星)。 2243 條評論
    4.4(2,243)
    80k 名學生
    Intermediate LevelIntermediate
  • Private Equity and Venture Capital by Università Bocconi
    Private Equity and Venture Capital
    Università Bocconi
    課程
    評分為 4.8(滿分 5 星)。 5014 條評論
    4.8(5,014)
    110k 名學生
    Mixed LevelMixed
  • Advanced Portfolio Construction and Analysis with Python by EDHEC Business School
    Advanced Portfolio Construction and Analysis with Python
    EDHEC Business School
    課程
    評分為 4.8(滿分 5 星)。 319 條評論
    4.8(319)
    11k 名學生
    Intermediate LevelIntermediate
  • Probabilistic Deep Learning with TensorFlow 2 by Imperial College London
    Probabilistic Deep Learning with TensorFlow 2
    Imperial College London
    課程
    評分為 4.9(滿分 5 星)。 14 條評論
    4.9(14)
    4.7k 名學生
    Advanced LevelAdvanced
  • Sequence Models for Time Series and Natural Language Processing by Google Cloud
    Sequence Models for Time Series and Natural Language Processing
    Google Cloud
    課程
    評分為 4.4(滿分 5 星)。 433 條評論
    4.4(433)
    13k 名學生
    Advanced LevelAdvanced
  • Bayesian Statistics: Mixture Models by University of California, Santa Cruz
    Bayesian Statistics: Mixture Models
    University of California, Santa Cruz
    課程
    評分為 4.7(滿分 5 星)。 15 條評論
    4.7(15)
    3.5k 名學生
    Advanced LevelAdvanced
  • DeepLearning.AI TensorFlow Developer by DeepLearning.AI
    DeepLearning.AI TensorFlow Developer
    DeepLearning.AI
    PROFESSIONAL CERTIFICATE
    評分為 4.7(滿分 5 星)。 17304 條評論
    4.7(17,304)
    270k 名學生
    Intermediate LevelIntermediate
  • Business and Financial Modeling by University of Pennsylvania
    Business and Financial Modeling
    University of Pennsylvania
    專項課程
    評分為 4.5(滿分 5 星)。 8348 條評論
    4.5(8,348)
    190k 名學生
    Beginner LevelBeginner
  • Finance for Non-Finance Professionals by Rice University
    Finance for Non-Finance Professionals
    Rice University
    課程
    評分為 4.8(滿分 5 星)。 1921 條評論
    4.8(1,921)
    100k 名學生
    Beginner LevelBeginner
  • Foundational Finance for Strategic Decision Making by University of Michigan
    Foundational Finance for Strategic Decision Making
    University of Michigan
    專項課程
    評分為 4.7(滿分 5 星)。 904 條評論
    4.7(904)
    31k 名學生
    Beginner LevelBeginner
  • Solar Energy Basics by The State University of New York
    Solar Energy Basics
    The State University of New York
    課程
    評分為 4.8(滿分 5 星)。 1394 條評論
    4.8(1,394)
    44k 名學生
    Beginner LevelBeginner
  • Data Visualization and Dashboards with Excel and Cognos by IBM
    Data Visualization and Dashboards with Excel and Cognos
    IBM
    課程
    評分為 4.7(滿分 5 星)。 156 條評論
    4.7(156)
    5.8k 名學生
    Beginner LevelBeginner
  • Introduction to Portfolio Construction and Analysis with Python by EDHEC Business School
    Introduction to Portfolio Construction and Analysis with Python
    EDHEC Business School
    課程
    評分為 4.8(滿分 5 星)。 815 條評論
    4.8(815)
    30k 名學生
    Mixed LevelMixed

Searches related to time series analysis

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multivariate time series analysis

intro to time series analysis in r

specialized models: time series and survival analysis

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總之,這是我們最受歡迎的 time series analysis 門課程中的 10 門

  • Practical Time Series Analysis: The State University of New York
  • Intro to Time Series Analysis in R: Coursera Project Network
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Compare time series predictions of COVID-19 deaths: Coursera Project Network
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Anomaly Detection in Time Series Data with Keras: Coursera Project Network
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
  • Private Equity and Venture Capital: Università Bocconi
  • Advanced Portfolio Construction and Analysis with Python: EDHEC Business School

您可以在 Probability And Statistics 中學到的技能

R 語言程序設計(中文版) (19)
推斷 (16)
線性回歸 (12)
統計分析 (12)
統計推斷 (11)
回歸分析 (10)
生物統計學 (9)
貝葉斯定理 (7)
邏輯回歸 (7)
概率分佈 (7)
貝葉斯統計 (6)
醫學統計 (6)

關於 Time Series Analysis 的常見問題

  • Time series analysis uses statistical techniques to determine how a sequence of numerical data points varies during a specific period of time. For example, time series analysis is used in the financial sector to track the prices of securities, commodities, and other assets to discover how they may vary seasonally. These techniques are important in business, science, public opinion polling, or any other field which seeks to understand how things change over time.

    The insights from time series analysis are often used for time series forecasting, which seeks predictions in the future changes in the value of a variable based on its movement in the past. Financial modeling and other applications of these techniques may also use linear regression to establish relationships between the variable of interest and other variables, such as overall economic factors like the unemployment rate or weather patterns.

    Even more powerful prediction engines can be developed using machine learning and deep learning approaches. The use of TensorFlow, R, and Python programming for increasingly sophisticated applications of time series analysis is making it possible to uncover complex patterns in vast datasets that would have been impossible - or, at least, very difficult and time-consuming - in the not-too-distant past.

  • Time series analysis skills are important for a wide range of careers in business, science, journalism, and many other fields. Whether you’re a biologist seeking to understand seasonal growth of an invasive species population or a political scientist analyzing trends in support for a candidate over the course of a campaign, time series analysis is a fundamental tool for describing change.

    The combination of time series analysis and time series forecasting is particularly useful in the world of finance, where quantitative analysts or “quants” that discover hidden correlations in the movements of stocks can generate incredible value for clients. According to the Bureau of Labor Statistics, analysts in securities, commodities, and other financial investments make a median annual salary of $98,690 per year and typically only have a bachelor’s degree, making this a high-paying job to begin your career in the business world.

  • Yes, absolutely! Coursera offers a breadth of learning opportunities across business as well as data science topics, including courses and Specializations that teach time series analysis skills. Wherever you live, you can learn about time series analysis remotely from top-ranked schools from around the world like the University of Pennsylvania, the State University of New York, Erasmus University Rotterdam, and The Hong Kong University of Science and Technology. You can also build skills in time series analysis by completing step-by-step tutorials alongside experienced instructors with Coursera’s Guided Projects.

    Regardless of what you choose, learning on Coursera gives you the flexibility to view and complete course materials on your own schedule, making this ideal for students as well as mid-career professionals looking to add new skills to their resume.

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