SELF PACED SEQUENCE:

Intro to Data Science with Python

📊 Beginner to Proficient Analyst

Jumpstart your data science career with our Python sequence. Go from foundational coding skills to advanced data manipulation, visualization, and AI in weeks. 

By the end of the sequence, you will be able to:

  • Write Pandas code to wrangle and analyze complex data
  • Visualize data using Plotly Express
  • Create reproducible documents and dashboards with Quarto
  • Leverage LLMs for data analysis and cleaning
  • Communicate insights effectively through data reports

👨‍💻 Who the Courses Are For

Professionals, students, and decision-makers looking to build skills for data science. Course datasets are diverse ensuring the skills learned are broadly applicable.

Included Courses:

Course Sequence

Our courses combine rich videos and practical assignments to build data expertise.

FOUNDATIONS

Begin your Python journey by learning the basics of data analysis and visualization. Explore Python programming fundamentals, data structures, and create stunning visualizations using Plotly. 

ESTIMATED TIME TO COMPLETE:  3 weeks at 5 HRS PER WEEK

LOCAL TOOLS

Learn to install Python locally, set up VS Code, manage virtual environments, and use Quarto for reproducible reports

ESTIMATED TIME TO COMPLETE:  3 HRS

WRANGLING

Learn to subset columns, query rows, transform variables, perform conditional transformations, group and summarize data, and reshape datasets.

ESTIMATED TIME TO COMPLETE:  4 WEEKS AT 5 HRS PER WEEK

WEB DEV

Master the basics of version control using GitHub Desktop’s user-friendly interface. Learn to track changes, collaborate on projects, and showcase your Python work online.

ESTIMATED TIME TO COMPLETE:  2 WEEKS AT 5 HRS PER WEEK

WEB DEV

Unlock the power of Quarto to create websites and dashboards that showcase data insights. Use GitHub pages to quickly deploy online content.

ESTIMATED TIME TO COMPLETE:  2 WEEKS AT 5 HRS PER WEEK

ARTIFICIAL INTELLIGENCE

Learn how to integrate AI into your workflows for tasks like text generation, data augmentation, and automating routine processes.

ESTIMATED TIME TO COMPLETE:  2 WEEKS AT 5 HRS PER WEEK

ML & AI

Machine Learning with scikit-learn

Apply machine learning algorithms to real-world data using scikit-learn. Cover supervised and unsupervised learning techniques, model evaluation, and deployment strategies.

ESTIMATED TIME TO COMPLETE:  5 WEEKS AT 5 HRS PER WEEK

COMING SOON
(2026/27)

Immersive Live Bootcamps

In addition to our self-paced courses, we also offer a live bootcamp that brings together the best tools and practices for online pedagogy. 

If you’d prefer a guided learning experience with live instruction and support, sign up for our upcoming bootcamps HERE.