Implement Time Series Analysis, Forecasting and Prediction with Tensorflow 2.0 from Pluralsight

Time series analysis is one of the more difficult and confusing aspects of data science. This course will teach you how to use TensorFlow with time series data and generate high performing forecasts and predictions.

Time series predictions are difficult and the rise of neural networks and TensorFlow has made generating highly performant machine learning models possible. In this course, Implement Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0, you’ll learn how to build models with multiple TensorFlow model types and be able to select the highest performing model. First, you’ll explore time series cross validation and how to create a baseline. Next, you’ll discover how to use neural networks on a single step ahead process. Finally, you’ll learn how to expand the modeling technique to predict multiple time periods in advance along with generating multiple simultaneous predictions on different series. When you’re finished with this course, you’ll have the skills and knowledge of TensorFlow needed to build models for good time series predictions.

What's inside

Syllabus

Course Overview

Understanding Time Series Data

Building a Baseline Model

Utilizing Neural Networks

Expanding the Modeling Approach

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores time series analysis, which is a crucial aspect of data science

Teaches how to use TensorFlow with time series data, a significant advancement in the field

Taught by Chase DeHan, a recognized expert in time series analysis

Provides hands-on experience with building models using multiple TensorFlow model types, enhancing practical skills

Covers essential topics such as cross-validation, neural networks, and modeling techniques, building a strong foundation

Requires some prior knowledge in time series analysis and TensorFlow, making it suitable for intermediate learners

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Implement Time Series Analysis, Forecasting and Prediction with Tensorflow 2.0 with these activities:

Review TensorFlow Basics

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This course assumes familiarity with TensorFlow. Completing this activity will solidify the foundational knowledge needed to succeed in this course.

Browse courses on TensorFlow

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Complete the TensorFlow Basics tutorial.

Review Linear Algebra

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Time series data is represented as vectors. Reviewing linear algebra can help you fully understand vector space and operations commonly used in time series.

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Review linear equations and matrix operations.
Work through practice problems involving vector spaces.

Practice Time Series Cross Validation

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Cross validation is one of the most important concepts in time series analysis for reducing overfitting. Completing this activity will help you practice this technique.

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Use a library to implement time series cross validation on a dataset.
Experiment with different cross validation parameters and evaluate the results.

Four other activities

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Build a Baseline Time Series Model

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Before investing time and effort into more complex models, it's essential to establish a baseline. Completing this activity will give you a benchmark to compare your other models against.

Browse courses on Time Series Modeling

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Select a time series dataset.
Use TensorFlow to build a simple baseline model.
Evaluate the performance of the model.

Design a Time Series Forecasting Model

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This course will introduce you to several different time series forecasting models. Completing this activity will provide an opportunity to apply your knowledge by designing your own model.

Browse courses on Time Series Forecasting

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Choose a time series dataset and forecasting task.
Design a neural network architecture for your model.
Implement the model in TensorFlow.
Train and evaluate the model.

Discuss Time Series Prediction Techniques

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Time series data is constantly evolving. Engaging with peers allows you to learn about the latest techniques and trends in the field.

Browse courses on Time Series Analysis

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Find a study group or online forum for discussing time series analysis.
Participate in discussions and share your own knowledge.

Apply Time Series Skills to a Real-World Problem

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Hands-on experience applying your skills to a real-world problem reinforces the understanding you gained in the course.

Browse courses on Time Series

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Identify an organization or project that could benefit from time series analysis.
Develop a plan for applying your skills to the problem.
Implement your plan and evaluate the results.

Career center

Learners who complete Implement Time Series Analysis, Forecasting and Prediction with Tensorflow 2.0 will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers work on advanced analytical models to solve large-scale complex problems using data. Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will bolster your skills in creating performant models that make sense of time series data. This is a crucial element of machine learning and is a field that is growing exponentially. TensorFlow 2.0 is one of the best tools to use for time series data and will help you stand out as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use scientific methods and processes to extract value from data. Time series analysis is a vital skill to have as a Data Scientist, and Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will give you experience using TensorFlow 2.0, a machine learning library, to create effective predictions. With the skills you learn in this course, you will be well-situated as a Data Scientist.

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Data Analyst

Data Analysts use their understanding of data to find actionable insights that drive effective decision making. As a Data Analyst, it is important to understand time series data, as it is a common format for data that is collected over time. Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will teach you the methods needed to understand time series data and how to use TensorFlow 2.0 to make predictions.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative Analysts use mathematics, statistics, and computer programming to build models to help make investment decisions. As a Quantitative Analyst, you will be required to forecast and predict future trends, making this course very relevant. Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will help you build a solid foundation in time series analysis and give you experience using TensorFlow 2.0.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

Financial Analysts use financial data to make recommendations on investments. Forecasting and predicting are major parts of the role of a Financial Analyst, and Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will provide you with the tools you need to succeed.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematics and statistics to assess risk and uncertainty. Time series analysis is a common tool used by Actuaries to help predict future events and trends. Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will help you develop the skills needed for this.

See salaries and explore the career path for Actuary

Statistician

Statisticians collect, analyze, interpret, and present data. Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will help you build a solid foundation in time series analysis and give you experience using TensorFlow 2.0, a machine learning library, to make predictions. This will make you a more valuable Statistician.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will introduce you to TensorFlow 2.0 and give you the skills to analyze and make predictions on time series data. This will make you a more well-rounded Data Engineer.

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Software Engineer

Software Engineers design, build, and maintain software systems. While not directly related to Software Engineering, Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will introduce you to TensorFlow 2.0, a machine learning library, and give you experience developing models. This is a valuable skill for any Software Engineer.

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Business Analyst

Business Analysts use their understanding of business processes to improve efficiency and effectiveness. While not directly related to Business Analysis, Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will give you experience using data to solve problems and making predictions. This is a valuable skill for any Business Analyst.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to solve problems in business and industry. Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will introduce you to TensorFlow 2.0 and give you the skills to analyze data and make predictions. This will make you a more effective Operations Research Analyst.

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Market Researcher

Market Researchers collect, analyze, and interpret data about markets and customers. While not directly related to Market Research, Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will give you experience using data to solve problems and make predictions. This is a valuable skill for any Market Researcher.

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Product Manager

Product Managers plan, develop, and launch products. While not directly related to Product Management, Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will give you experience using data to solve problems and make predictions. This is a valuable skill for any Product Manager.

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Business Development Manager

Business Development Managers develop and implement strategies to grow revenue. While not directly related to Business Development, Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will give you experience using data to solve problems and make predictions. This is a valuable skill for any Business Development Manager.

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Management Consultant

Management Consultants provide advice to businesses on how to improve their performance. While not directly related to Management Consulting, Implementing Time Series Analysis, Forecasting, and Prediction with TensorFlow 2.0 will give you experience using data to solve problems and make predictions. This is a valuable skill for any Management Consultant.

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Implement Time Series Analysis, Forecasting and Prediction with Tensorflow 2.0

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