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    • Time Series Analysis

    Time Series Analysis Courses Online

    Study time series analysis for forecasting. Learn techniques for analyzing temporal data and building predictive models.

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    Explore the Time Series Analysis Course Catalog

    • S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Unit Testing, Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Exploratory Data Analysis, Artificial Intelligence, Data Wrangling, ChatGPT, Natural Language Processing, Data Analysis, Jupyter, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI Agents, Data Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Business Analysis Fundamentals

      Skills you'll gain: Stakeholder Management, Business Analysis, Project Management, Analysis, Business Requirements, Requirements Elicitation, Microsoft Power Platform, Business Process Improvement, Problem Management, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      732 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Process Mapping, Process Optimization, Requirements Management, Risk Management, Business Requirements, Stakeholder Management, Work Breakdown Structure, Scope Management, Process Analysis, Stakeholder Engagement, Data Visualization Software, Excel Formulas, Microsoft Excel, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Business Analytics

      Skills you'll gain: People Analytics, Data-Driven Decision-Making, Business Analytics, Descriptive Analytics, Business Intelligence, Human Resource Strategy, Financial Data, Marketing Analytics, Analytics, Talent Management, Financial Analysis, Predictive Analytics, Peer Review, Business Analysis, Financial Statement Analysis, Financial Forecasting, Customer Insights, Workforce Planning, Demand Planning, Customer Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Work Smarter, Not Harder: Time Management for Personal & Professional Productivity

      Skills you'll gain: Time Management, Planning, Delegation Skills, Productivity, Organizational Skills, Multitasking, Resource Management, Prioritization, Personal Development, Goal Setting, Professional Development, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT Advanced Data Analysis

      Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, Microsoft Excel, Problem Solving, Data Analysis, Generative AI, Information Management, File Management, Creativity, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      785 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Arizona

      Astronomy: Exploring Time and Space

      Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, General Science and Research, Scientific Methods, Scientific Visualization, Research, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Systematic Review and Meta-Analysis

      Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Biostatistics, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Epidemiology, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Financial Analysis - Skills for Success

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Variance Analysis, Financial Analysis, Income Statement, Balance Sheet, Performance Measurement, Management Accounting, Return On Investment, Revenue Forecasting, Cash Flow Forecasting, Financial Management, Cost Management, Financial Data, Budgeting, Finance, Accounting, Business Valuation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      420 reviews

      Beginner · Specialization · 1 - 3 Months

    Time Series Analysis learners also search

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    In summary, here are 10 of our most popular time series analysis courses

    • Introduction to Statistics: Stanford University
    • IBM Generative AI Engineering: IBM
    • IBM Data Science: IBM
    • Business Analysis Fundamentals: Microsoft
    • IBM Business Analyst: IBM
    • Business Analytics: University of Pennsylvania
    • Work Smarter, Not Harder: Time Management for Personal & Professional Productivity: University of California, Irvine
    • ChatGPT Advanced Data Analysis: Vanderbilt University
    • Deep Learning: DeepLearning.AI
    • Astronomy: Exploring Time and Space: University of Arizona

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Time Series Analysis

    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.‎

    Skills you typically need when starting to learn time series analysis include technical skills and math skills. The technology is used for collecting and organizing data sets into usable information. In the area of math, you generally need to have some experience in statistics. It may also help if you have experience reading graphs and charts to interpret information. You might also have to use your technical skills to download software programs, such as R, that are needed for time series analysis learning. Python, machine learning, AI, statistics, and linear algebra are some other skills you may need to possess along with an interest in data analysis.‎

    People who are curious and who have a passion for learning are typically best suited for time series analysis. People who are highly analytical may enjoy this field of work. Time series analysis can also be well suited to people who enjoy exploring advanced mathematical models and using highly technical computer programs. These people can come from many other technical fields, such as engineering or science. Additionally, people who are involved with AI-powered algorithms can be well suited for roles in time series analysis.‎

    Time series analysis could be right for you if you enjoy learning about topics like statistical hypothesis testing and if you have an appreciation for complex mathematical models using statistics. If you find solving complex puzzles interesting, time series analysis could be right for you. Time series analysis could also be right for you if you’re working in a field that delivers large amounts of data and there is no good way to process that data. Learning time series analysis could potentially help you close that data processing gap.‎

    Some career paths for someone in time series analysis include science, business, and engineering. Data analysts, financial analysts, and business analysts are also common career paths in this field. It can also typically be applied by people who specialize in machine learning and AI. Research is another common career path in this field. Time series analysis can be used by researchers to create models which can then be used to solve real-world problems.‎

    Online Time Series Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Time Series Analysis skills. Choose from a wide range of Time Series Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Time Series Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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