Time Series Forecasting: Machine Learning and Deep Learning with R & Python

Overview

In the last 15 years, business requests related to time series forecasting changed dramatically. Business needs evolved from predicting at most 100, low frequency data, to forecasting 10.000, high frequency time series. Unfortunately, the classical tools may not be the best anymore, both in terms of accuracy and computationally. Hence, nowadays the “time series forecasting” data scientist is required to be capable of providing business forecasting solutions tackling both scalability and accuracy, constantly keeping up-to-date with new methods.

The aim of the course is to teach how time series forecasting problems can be solved in practice. The state-of-the-art techniques are presented from a very practical point of view, throughout R tutorials. Python algorithms are also presented and used within R by means of the reticulate package.

Statistical Learning, Machine Learning & Artificial Intelligence

Overview

The course introduces the most important algorithmic and statistic machine learning tools. It aims at teaching a methodological and practical overview to statistical learning methods. The emphasis is on the applications and state-of-the-art techniques are presented through hands-on labs with R.

R Coding

Overview

The course aims at providing technical skills about coding/scripting aspects for data analysis and to manage persistent data storage of sources and results involved in analysis. On the one side, the R framework is illustrated. The goal is to deal first with essential notions about data structures and control structures of R, then to learn how to code with modern and state-of-the-art R packages.

R for Business - Advanced

I train professionals (both business and academics) on R in production, relative to the best practices of software development using R (profiling, versioning, testing, documenting, packaging and CI/CD).
The highly intensive training allows companies to help their specialists in the process of becoming R Developers and not just simple R users.

For more details, email me at zanottimarco17@gmail.com.

Private Lectures

I teach econometrics, time series, forecasting, R programming, statistics and data science related topics to students.
I have helped more than 200 students preparing their exams, thesis and PhD projects.

If you need help, do not hesitate! Contact me directly emailing to zanottimarco17@gmail.com or texting me on WhatsApp.

Reviews on my teaching support can be found on Superprof: