Create a Data Visualization using Python and Pandas

Data analytics in Python benefits from the beautiful API offered by the pandas library. With it, manipulating and analysing data is fast and seamless. In this workshop, we'll take a hands-on approach to performing an exploratory analysis in pandas. We'll begin by importing some real data. Then, we'll clean it, transform it, and analyse it, finishing with some visualizations.

Skills You Will Gain

  1. Build data visualizations using Python and Pandas

Prerequisites

  1. Commitment to invest 5 Hours in 1 Week anytime that works best for you. (Average 45 Minutes per day)
  2. Intermediate knowledge of Python
  3. An internet-connected computer
  4. Fluent in English

Action Plan

  • Task 1: Set time on your calendar to complete this project
  • Task 2: Download code for this project
  • Task 3: Complete all the tasks in the workshop
  • Task 4: Submit your code
  • Content By

    Quentin Caudron Seattle

    I'm a data scientist passionate about cutting-edge machine learning, teaching, and open-source technologntin is a data scientist passionate about cutting-edge machine learning, teaching, and open-source technology. I love solving complex problems with real-world solutions.


    Ready to unleash your full potential?

    NEXT CLASS IN:

    Mench Bootcamps Offer:

    In-Demand Skills

    Mench Bootcamps are inspired by the most popular digital skills in-demand. We research the hottest industry trends and collaborate with experts to produce weekly Bootcamps that will give you practical experience.

    Flexibility

    Leveling-up your tech career does not have to interrupt your busy schedule, which is why Mench Bootcamps have an estimated number of hours required for completion. Choose when to do the work based on your own schedule.

    Tuition Guarantee

    We believe hard work should always pay off, which is why we offer a Tuition Reimbursement Guarantee for students who do the work but fail to accomplish the target outcome by the end of their Bootcamp.