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About this course

Data visualization is an indispensable part of data science. It is the best way to present powerful insights and direct data-driven action. Dataquest’s Data Visualization Fundamentals course will build upon your knowledge of Python coding fundamentals and basic proficiency with pandas and NumPy.

In this course, you’ll learn the fundamentals of data visualization in Python by striking a good balance between graph interpretation via statistics and tooling in Matplotlib and Seaborn. Throughout this course, you’ll learn the most common methods and techniques to visualize data using a variety of Python libraries. At the end of the course, you’ll synthesize and apply this knowledge by completing a data visualization portfolio project.

This course focuses on the following:

  • Developing fundamental knowledge of data visualization using Python libraries
  • Building proficiency in visualizing data with line plots, scatter plots, bar plots, and more
  • Optimizing your data visualization workflow to reveal insights and fuel data-driven action

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How Our Data Visualization Fundamentals Course Works

In data science, it’s not enough to simply collect and analyze data. To make the most of your data and draw out actionable, insightful, and data-driven plans of action, you must utilize data visualization. Basic data visualization knowledge is valuable regardless of the data science career path you choose to take. That’s why we’ve created this data visualization course, which is designed to build upon the concepts and techniques learned in our previous Python courses.

Here at Dataquest, we believe the best way to level up your data science skills is by solving real problems with real code from day one. When you learn with us, you’ll never have to sit through boring training videos or ineffective fill-in-the-blank problems.

Instead, with us, you’ll learn by doing and putting what you know into action through practice. By completing our hands-on, interactive lessons and practice problems, you’ll acquire and maintain the in-demand data science skills you need to get hired faster.

In this Data Visualization Fundamentals course, you’ll use real-world data to learn the most common data visualization methods in Python. We’ll show you how to identify, visualize, interpret, and extract valuable insights in your data. During the final lesson of this course, you’ll put these skills into practice by digging into a real dataset to visualize heavy traffic indicators on Interstate 94.

Another reason to learn with Dataquest is that we’ll help you develop a strong data science portfolio. But why is this important? Well, a strong portfolio is the best way to stand out from the crowd and distinguish yourself in the competitive data science job market. That’s why virtually all of our courses feature guided projects. We want to help you build a data science portfolio that hiring managers and potential employers can’t ignore.

Additionally, once you join Dataquest, you’ll become part of our vibrant and supportive community of data students and professionals who can help you overcome any obstacles that pop up along your learning path! If you ever need extra help, our powerful and responsive support tools are just a click away.

Here’s a glance at our Data Visualization Fundamentals course:

  • This course is the fifth 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.

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