Practical Time Series Data Analysis Masterclass With Statistics and Machine Learning In R
Learn How To Work With Time Series/Temporal Data Using Statistical Modelling & Machine Learning Techniques In R
Tailored for data analysts, scientists, and enthusiasts, this masterclass provides a comprehensive exploration of time series analysis techniques, blending statistical methodologies with machine learning approaches using the R programming language.
What You Will Learn:
- Foundations of Time Series Analysis:
- Gain a solid understanding of the principles underlying time series data, including trend, seasonality, and cyclic patterns.
- Explore the key components of time series decomposition and their significance.
- Statistical Methods for Time Series:
- Dive into statistical techniques for time series analysis, including autocorrelation, cross-correlation, and hypothesis testing.
- Understand how to apply ARIMA (AutoRegressive Integrated Moving Average) models for forecasting.
- Machine Learning for Time Series:
- Explore machine learning approaches to time series analysis, incorporating algorithms such as decision trees, random forests, and gradient boosting.
- Understand how to leverage supervised learning for time series prediction tasks.
- Time Series Forecasting with LSTM and Neural Networks:
- Delve into advanced techniques for time series forecasting using Long Short-Term Memory (LSTM) networks and neural networks.
- Learn how to build and train deep learning models for accurate predictions.
- Feature Engineering for Time Series:
- Master the art of feature engineering for time series data.
- Explore methods for extracting meaningful features that enhance the performance of predictive models.
- Model Evaluation and Optimization:
- Understand how to evaluate the performance of time series models using metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE).
- Dive into hyperparameter tuning to optimize the accuracy of your models.
- Real-world Time Series Projects:
- Apply your knowledge through hands-on projects and case studies.
- Gain practical experience in solving real-world time series challenges using a combination of statistical and machine learning techniques.
The instructors provide a perfect balance of theory and practical application, making complex concepts accessible. The inclusion of both statistical methods and machine learning approaches gave me a holistic understanding of time series forecasting.
— Jennifer
As a data scientist, I found this masterclass to be a game-changer for my work with time series data. The instructors cover a wide range of techniques, from traditional statistical methods to cutting-edge machine learning models. The hands-on exercises and projects provided valuable insights into the challenges and nuances of time series analysis.
— Alex
Your Instructor
Yoohoo Academy has taught 100,000+ students everything from Lift Style to Fitness Training, Cyber Security, to Ethical Hacking, Facebook Ads, to SEO, Email Marketing, to eCommerce, Business Investing, to Social Media Marketing, to Launching your own Business, Marketing/Ad Agency!
Yoohoo Academy is a Multination company that offers an ever growing range of high-quality online courses that teach using hands-on examples from experts in the field of study and tested research; all backed with high-quality, studio voiceover narrated videos! The emphasis is on teaching real life skills that are essential in today's world.
All Yoohoo Academy courses are taught by experts in their field who have a true passion for teaching and sharing their knowledge.