Regression and Time Series Analysis using Python

Linear regression, nonlinear regression, auto-regressive models, time series analysis, regularisation and more

LEVEL: INTERMEDIATE
DURATION: 2-DAY COURS
DELIVERED: AT YOUR OFFICE

What you will learn

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You will learn the skills you need to develop and evaluate regression models that allow you to make quantitative predictions.

Multivariate linear regression
Ridge and LASSO regularisation

Languages and libraries :

Python 3
Numpy and Pandas for data manipulation
Scikit-learn and statsmodel for linear and time series model
Matplotlib for visualisation

PREREQUISITES

Good knowledge of python, basic understanding of machine learning practice (as taught in Introduction to Data Science)

AUDIENCE

Those who wish to take their data science skills further and learn state-of-the-art techniques in this constantly evolving field.

Get in touch with us to learn more about the course! 

DAY ONE

Regression Analysis

DAY TWO

Time Series Analysis

    • Manipulating time series with Pandas
    • Handling trends and seasonalities in time series: understanding lagging
    • Autocorrelation function and moving average (MA)
    • Building an autoregression (AR)
    • Adding structure in a time series model: towards ARMA and ARIMA models
    • Modeling real-world time series: how to avoid pitfalls

Get in Touch

CONTACT US

We will email you within the next 24 hours to arrange a quick call to help with any questions about the programme and recommend pre-course materials.

We look forward to speaking with you.

Dr. Raoul-Gabriel Urma

Dr. Raoul-Gabriel Urma

Director