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About this path

Did you know that data scientists spend most of their time cleaning data? Yes, that’s right. Before you can even get to the analysis and the insights, you need to make sure you find, clean, and organize the data.

In our data cleaning with Python path, we’ll teach you how to identify and remove inaccurate records from a dataset. You’ll gain the fundamental skills to begin cleaning data, using the powerful tools offered by Python. We’ll also teach you how to manipulate, analyze, and visualize data using premier Python libraries like NumPy and pandas.

With these courses, you’ll have everything you need—and more—to perform data cleaning from start to finish.

  • Learn how to save values using variables; build for loops; work with lists; and more!
  • Discover how to analyze, combine, transform, and reshape data.

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How Our Data Cleaning with Python Skill Path Works

Most surveys indicate that data professionals spend 70-80% of their time preparing data for analysis. To thrive in this data-driven world, you’ll need valuable insights from quality data.

The best way to learn data cleaning with Python is to practice it firsthand. Different types of data will require different data cleaning methods. At Dataquest, we offer an entire skill path on data cleaning using Python to position you for maximum career growth. Starting today, you can acquire these valuable skills to jumpstart your current or future career as a data professional.

Here’s a quick glance at this skill path:

  • You’ll perform hands-on data cleaning using Python and answer practice problems to and apply your new skills.
  • Toward the end of the skill path, you’ll complete a guided data cleaning project from start to finish to enhance your resume and further reinforce your new skills.
  • When you complete the courses, you’ll earn a certificate you can share with your professional network.
  • After you receive your certificate, you’ll be ready to meet the demand for data cleaning with Python.Additional data science courses are available if you want to learn even more!
  • Engage with the community, get feedback on your project, and keep building.

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