Course Overview:

Data science process, data preprocessing, exploratory data analysis, data visualization, basic statistics, basic machine learning concepts, classification and prediction, similarity assessment, clustering, post-processing and interpreting data analysis results, use of data analysis tools and programming languages and data analysis case studies.

Summer 2023 Syllabus

Software:

• Download Anaconda
  How to install Anaconda 
  The Anaconda installations for Windows and Mac are very similar and the following steps should work for both operating systems with only slight variation.
  
  1. Go to the Anaconda Website and choose a Python 3.7 graphical installer.
  2. Open the executable downloaded
  3. Select Next
  4. Select I Agree
  5. Click on Next
  6. Select your installation location and then click Next
  7. Refer to following image
  8. Click on Next
  9. Click Finish

Textbooks:

• Lecture notes will serve as the main source of material for the course
• Rizk, Nouhad Building Skills for Data Science