Data Science Fundamentals Workshop on Apr 24th

Are you interested in applying data science to solve business problems? Are you willing to take a look at how fundamental knowledge and skills are applied by professionals to build real end-to-end data science solutions?

If the answer is YES, you must attend Data Science Fundamentals Workshop this Friday! 

Time: April 24, 2020 1:00 – 3:30pm

Location: Zoom link will be sent out one day before Workshop

Instructors: Alicia Wei, Jidong Li

Overview:

In this workshop, you will learn about the RM4E analytical workflow, which guides the problem solving process. You will also encounter various cases where you will learn how different approaches may be adopted to solve industry problems.

The first part will cover the most common machine learning algorithms in regression, classification, and clustering problems including linear regression, logistic regression, naive bayes, support vector machine, and k-means. Then we will walk through the Python code for a classic classification problem, Titanic survival. We’ll go through preprocessing, exploratory data analysis, visualization, model architecture, and evaluating performance on test data.

The second part will cover applications of machine learning in real business problems such as predicting whether an ad will lead to bad clicks. We will cover how the project breaks down, which teams are responsible for which components, and how a project goes from a business challenge to deployment with real value add. We will also cover the importance of analytical workflows and how they increase the reproducibility, transparency, and validity of your data science projects.