Software Development Basics
Fundamental principles and concepts
TensorFlow Developer Certificate - Time Series, Sequences, and Predictions
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.
Data+Become a specialist with access to over 1,400 data science courses.
₹734/mo
Data+Become a specialist with access to over 1,400 data science courses.
₹514
Why choose Security+?
verifiedGet this course for free with the Coursera Plus subscription.
✓ Compare courses before making a decision
Check Latest Price →Price may vary. Check latest price on provider site.
Course Insight
Suitable for beginner learners. This course serves as an entry point into Software Development, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Beginner FriendlySelf-Paced Learning
SKILLS TO
MASTER
Practical ApplicationTrending
Real-world project implementationBest Practices
Industry standard workflows and guidelinesCareers:Relevant for professionals pursuing roles within Software Development.
Quick Facts
Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.
What You’ll Learn
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.
See how this course curriculum compares with alternatives
Outcomes
- Course Overview : 1min.
- Understanding and Preparing Time Series Data : 29mins.
- Training and Evaluating Time Series Models : 21mins.
- Implementing Advanced Techniques for Time Series Analysis : 13mins.
See side-by-side differences in learning outcomes
FAQs
Top Alternatives
Highly-rated courses worth your attention
