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TensorFlow Developer Certificate - Time Series, Sequences, and Predictions
Pinal Dave
Pinal Dave
TensorFlow is a powerful open-source library for machine learning and numerical computation to develop and train deep learning models. This course will teach you how to analyze time series data and accurately forecast future events.
Read more
TensorFlow is a powerful open-source library for machine learning and numerical computation to develop and train deep learning models. This course will teach you how to analyze time series data and accurately forecast future events.
Read more
TensorFlow is a powerful open-source library for machine learning and numerical computation to develop and train deep learning models. This course will teach you how to analyze time series data and accurately forecast future events.
Forecasting key business metrics accurately is crucial for making smart decisions and planning for the future. In this course, TensorFlow Developer Certificate - Time Series, Sequences, and Predictions, you’ll gain the ability to build predictive models for time series data using deep learning.
First, you’ll explore how to structure time series problems and preprocess data for modeling.
Next, you’ll discover how to choose and configure deep learning models like RNNs and CNNs for sequence forecasting tasks.
Finally, you’ll learn best practices for training, evaluating, and improving your forecasts over time.
When you’re finished with this course, you’ll have the skills and knowledge of TensorFlow and deep learning for time series needed to accurately forecast metrics like future sales, demand, stock prices, and more.
Register for this course and see more details by visiting:
OpenCourser.com/course/xguix0/tensorflow
What's inside
Syllabus
Course Overview
Understanding and Preparing Time Series Data
Training and Evaluating Time Series Models
Implementing Advanced Techniques for Time Series Analysis
Read more
Syllabus
Course Overview
Understanding and Preparing Time Series Data
Training and Evaluating Time Series Models
Implementing Advanced Techniques for Time Series Analysis
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners in time series prediction
Teaches industry-standard tools for time series analysis: TensorFlow, RNNs, and CNNs
Covers advanced techniques for time series analysis, such as forecasting with uncertainty
Taught by Pinal Dave, a recognized expert in TensorFlow and deep learning
Requires learners to come in with some background knowledge in machine learning
Focuses on practical skills and provides hands-on labs for learners to apply their knowledge
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TensorFlow Developer Certificate - Time Series, Sequences, and Predictions.
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Career center
Learners who complete TensorFlow Developer Certificate - Time Series, Sequences, and Predictions will develop knowledge and skills
that may be useful to these careers:
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. This course will help you develop the skills needed to apply deep learning techniques to time series analysis in order to make better decisions. By learning how to choose and configure deep learning models, you'll be able to develop optimization and forecasting models that can improve operational efficiency.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course will help you build a foundation in time series analysis, which is essential for understanding and predicting risk over time. By learning how to structure time series problems and evaluate forecasts, you'll be able to more accurately assess risk and develop more effective risk management strategies.
Financial Risk Manager
Financial Risk Manager
Financial Risk Managers identify, assess, and manage financial risks within an organization. This course will help you develop the skills needed to apply deep learning techniques to time series analysis in order to identify and manage risk. By learning how to choose and configure deep learning models, you'll be able to develop risk management models that can help organizations make better decisions.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines to collect, clean, and process data. This course will help you develop the skills needed to apply deep learning techniques to time series analysis in order to design and build more effective data pipelines. By learning how to choose and configure deep learning models, you'll be able to develop data pipelines that can accurately forecast future events and provide valuable insights.
Data Architect
Data Architect
Data Architects design and build data systems to meet the needs of an organization. This course will help you develop the skills needed to apply deep learning techniques to time series analysis in order to design and build more effective data systems. By learning how to choose and configure deep learning models, you'll be able to develop data systems that can accurately forecast future events and provide valuable insights.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts seek profitable investment strategies by modeling financial and economic data. This course can be a part of a larger approach to gain the computational knowledge needed to succeed in this role. By learning how to select deep learning models and apply techniques for time series modeling, you'll build a solid foundation for developing financial models that make accurate predictions.
Financial Analyst
Financial Analyst
Financial Analysts perform detailed research and write reports on business trends, investment strategies, and potential opportunities. This course's emphasis on applying deep learning models to forecast future events will give you a significant advantage in creating data-driven insights and recommendations.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course will help you build the skills to develop and implement sequence forecasting models. By gaining proficiency in these models, you'll be well-equipped to create solutions that capture temporal dependencies and predict future events.
Data Scientist
Data Scientist
Data Scientists use scientific methods and programming to extract knowledge and insights from data. This course can help you develop the technical skills needed to specialize in time series analysis. By learning how to structure time series problems and evaluate forecasts, you'll be able to effectively analyze and interpret time-dependent data.
Research Analyst
Research Analyst
Research Analysts conduct research and analysis to provide insights and recommendations on a variety of topics. This course will help you build a strong foundation in using deep learning for time series modeling. By gaining proficiency in these techniques, you'll be able to extract valuable insights from historical data and make informed predictions about future trends.
Data Analyst
Data Analyst
Data Analysts collect, clean, analyze, and interpret data to provide insights and make recommendations. This course may be useful in helping you build the skills needed to specialize in time series analysis. By learning how to structure time series problems and preprocess data, you'll be able to effectively analyze and interpret time-dependent data.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems by analyzing data and developing solutions. This course will help you gain the skills needed to analyze time series data and make accurate forecasts. By learning how to preprocess data and evaluate models, you'll be able to provide valuable insights and recommendations to businesses.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful in helping you build the technical skills needed to specialize in time series analysis software development. By learning how to implement advanced techniques for time series analysis, you'll be able to develop software solutions that can accurately forecast future events.
Consultant
Consultant
Consultants provide expert advice and guidance to organizations on a variety of topics. This course may be useful in helping you build the skills needed to specialize in time series analysis consulting. By learning how to structure time series problems and evaluate forecasts, you'll be able to effectively analyze and interpret time-dependent data, providing valuable insights and recommendations to organizations.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to help organizations make informed decisions. This course may be useful in helping you build the skills needed to specialize in time series analysis. By learning how to structure time series problems and evaluate forecasts, you'll be able to effectively analyze and interpret time-dependent data.
For more career information including salaries, visit:
OpenCourser.com/course/xguix0/tensorflow
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
TensorFlow Developer Certificate - Time Series, Sequences, and Predictions.
Save
Classic in the field of time series analysis and provides a comprehensive overview of the subject. It covers a wide range of topics, including forecasting, model selection, and estimation.
Save
Practical guide to forecasting methods. It covers a wide range of topics, including time series decomposition, forecasting models, and evaluation.
Provides a practical guide to time series forecasting using deep learning. It covers a wide range of topics, from data preprocessing and feature engineering to model selection and evaluation.
Provides a comprehensive overview of time series analysis and forecasting. It covers a wide range of topics, including forecasting, model selection, and estimation.
Provides a comprehensive overview of time series analysis and its applications. It covers a wide range of topics, including forecasting, model selection, and estimation.
Save
Provides a comprehensive overview of time series analysis and its applications in R. It covers a wide range of topics, including forecasting, model selection, and estimation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xguix0/tensorflow
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Time
66 hours
Level
Introductory
Via
Pluralsight
Instructor
Pinal Dave
Language
English
Good to know
Builds a strong foundation for beginners in time series prediction
Teaches industry-standard tools for time series analysis: TensorFlow, RNNs, and CNNs
Covers advanced techniques for time series analysis, such as forecasting with uncertainty
Taught by Pinal Dave, a recognized expert in TensorFlow and deep learning
Requires learners to come in with some background knowledge in machine learning
Focuses on practical skills and provides hands-on labs for learners to apply their knowledge
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