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About this course

In this Data Cleaning Project Walkthrough, you’ll learn the two “phases” of data cleaning and data visualization. You’ll also learn the valuable skill of combining multiple datasets and preparing them for analysis.

Once you’ve done that, the real fun begins ⁠— you’ll complete two data analysis and visualization portfolio projects using data from some of the biggest names in film culture. It’s time to synthesize everything you’ve learned about data cleaning and put it all into practice!

This course focuses on the following:

  • Introducing the “two-phase” process for completing end-to-end data cleaning projects
  • Building skills in combining, manipulating, exploring, and analyzing multiple datasets
  • Completing strong and compelling data cleaning portfolio projects from start to finish

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How Our Data Cleaning Project Walkthrough Course Works

By now, you know how much time data professionals spend turning incomprehensible and messy datasets into clean, uniform, and useful datasets. In your data science career, you’ll rarely get a dataset that is precisely the way you need it to be. That’s why data cleaning is such an invaluable skill in data science. We’ve created this course to help you acquire, refine, and retain this skill to make you a valuable asset to any data science team. We’ve structured this course to build on our previous Advanced Data Cleaning course.

At Dataquest, our focus is to help you get hired as quickly as possible. That’s why we only use the best of the best teaching methods to help you develop the career skills you need. Unlike most online courses, we won’t subject you to boring “training videos” or “fill-in-the-blank” problems. With us, you’ll learn by using real code to solve real problems, starting on day one!

We designed this Data Cleaning Project Walkthrough course with your career success in mind. We’ve carefully crafted every one of our hands-on and interactive lessons to go beyond simply learning data cleaning — you’ll put it into practice using real-world datasets. In this course, you’ll work with a diverse pool of data ranging from NYC public school data to Marvel’s Avengers to Star Wars.

The object of this course is one of the areas where Dataquest really shines. We know how crucial it is for aspiring data professionals to have a compelling portfolio. It’s one of the first and most important things hiring managers look for! That’s why all of our courses offer guided practice and culminating portfolio projects just like this one. It’s our goal to help you build a data cleaning portfolio that potential employers can’t ignore!

Also, when you sign up with Dataquest, you’ll become a part of our thriving and supportive community of data students and professionals. You’ll never learn alone, and they’ll help you overcome any obstacle you come across in your learning path! And if you ever need a little extra help, our powerful and responsive support tools are just a click away.

Here’s a glance at our Data Cleaning Walkthrough Project course:

  • This course is the ninth in the Data Analyst in Python Career Path. It consists of the six lessons listed below, which cover in-depth programming concepts in Python.
  • You’ll write real code with dozens of practice problems so you can apply your skills.
  • At the end of each course, you’ll complete a guided project to reinforce your new knowledge and expand your portfolio.
  • When you complete this course, you’ll receive a certificate that you can share with your professional network.
  • Once you complete this course, you’ll be ready for more advanced Python courses.
  • Engage with our friendly community of data professionals, get feedback on your projects, and keep building your skills.

Who Is This Data Cleaning Project Walkthrough For?

We’ve designed this course for intermediate Python programmers; completing it requires prerequisite knowledge of Python and data cleaning. If you missed our previous data cleaning lessons or would like a refresher, please revisit our previous course. Whether you’re fairly new to data science or a seasoned pro looking to brush up on the basics, we’ve made this course for you!

This project walkthrough will benefit a variety of learners:

  • Data science beginners looking for data cleaning knowledge
  • Python users seeking a deeper understanding of the inner workings of Python
  • People who want a career as a data analyst or data scientist
  • People seeking remote work
  • Anyone who works with data in telecommunication, finance, education, and healthcare
  • Junior data scientists or data analysts who want to advance in their current positions
  • Anyone who wants to be able to capture, process, and interpret data
  • Data students who want to develop a competitive portfolio
  • Experienced Python users who want to fill in the blanks and brush up on the basics

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