This four-day Python boot camp is designed to teach you everything you need to start using Python for your own data science projects from scratch. Absolutely no previous experience is assumed. We will take a deep dive into the world of Python and cover everything from basic programming to the skills, tools, and techniques most often used in data science and analytics.

May 26:

• Introduction to Python, programming, and how computers work
• The Anaconda distribution and setting up your environment
• Basic command-line syntax and using Python in the terminal
• Creating and running Python scripts
• Jupyer Notebook and Google Colab environments
• Variables and data types
• Functions and data structures
• Loops, conditionals, and basic automation

May 27:

• Essential packages for data science: Pandas and Matplotlib
• Importing and exporting different datasets
• Good data management practices
• Cleaning, grouping, filtering, and analyzing data
• Long vs wide data formats
• Creating and tweaking various visualizations
• Interactive data visualization with Plotly
• Installing new packages using virtual environments

May 28:

• List comprehension and map-functions
• Lambda functions and regular expressions
• Application programming interfaces (APIs)
• Recursion and directory traversal
• Reading, writing, and modifying files
• The NumPy package: data as matrices
• A very brief introduction to machine learning

May 29:

• Machine learning fundamentals: classification, regression, and clustering
• Basic machine learning and statistical modeling using Scikit-Learn
• Natural language processing and working with textual data
• Sentiment analysis and document classification
   

Due to the cumulative nature of the boot camp, participants are expected to take part in all four days.
A Google account is required for some aspects of the boot camp!

Meetings will be held virtually via Zoom. Admitted registrants will receive Zoom meeting details via email.

Agenda subject to change without notice. All dates and times are in Eastern Daylight Time (EDT).