Data Science Projects

Advanced30 hours6 sections19 lessonsRated 4.6 out of 5 from 11 ratings

Work through data science projects with examples of data cleaning, exploration, modeling, and written recommendations. Use the solutions to compare assumptions and reasoning, then adapt the approach to the data and evaluation criteria in your own assignment.

What you will be able to do

  • Scope an ambiguous data project around a concrete decision.
  • Build a defensible analysis from data audit through evaluation.
  • Write recommendations that connect technical evidence to action.

Who this course is for

Data candidates preparing for take-home exercises and portfolio-style project deep dives.

Helpful to know first

  • Working Python, SQL, and applied statistics knowledge.

Course content

6 sections 19 lessons 30 hours

Plan a take-home project, inspect the data, and organize the analysis around a clear question. Use the review criteria as a practice guide; actual employer rubrics vary.

  1. 1.1 How Take-Home Data Challenges Are Graded60 min
  2. 1.2 The First Two Hours: EDA That Earns Points60 min

Locked sections open with Premium.Upgrade to Premium

Rate this course

Rated 4.6 out of 5 from 11 ratings

Tell us how useful this course was. You can update your rating later.

Loading your rating...

Course rating

Rated 4.6 out of 5 from 11 ratings

  • 5 stars: 7 ratings
  • 4 stars: 4 ratings
  • 3 stars: 0 ratings
  • 2 stars: 0 ratings
  • 1 star: 0 ratings