Data Science for Developers

GOTO Chicago Fall 2019

In this one-day introductory workshop, you will develop foundational data science skills, with hands-on labs, that prepare you for further learning in the data science space. Throughout the day, you will be introduced to both the theoretical and the applicable knowledge of data science methods using Python programming language. By the end of the workshop, you will be able to

• Describe what data science is and what data science process is
• Explain the difference between supervised and unsupervised learning
• Perform exploratory data analysis to troubleshoot datasets
• Build supervised machine learning models in Python
• Conduct analyses using unsupervised machine learning algorithms

Topics Covered

• What is data science and data science process?
• How to formulate a data science problem
• Quick review of Statistics and Python
• Exploratory data analysis for data scientists
• Supervised machine learning:
  • Linear regression
  • Logistic regression
  • Decision Tree
  • Random Forest
• Unsupervised machine learning:
  • Principal component analysis
  • K-means clustering
• Evaluation metrics
• Introduction to processing unstructured data