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Fundamental Data Analysis and Visualization Tools in Python| Programming Buddy Club | Free Udemy Course

Fundamental Data Analysis and Visualization Tools in Python | Programming Buddy Club | Free Udemy Courses

Fundamental Data Analysis and Visualization Tools in Python| Programming Buddy Club | Free Udemy Course


LEARN HOW TO ANALYZE AND VISUALIZE DATA BY USING PYTHON LIBRARIES SUCH AS PLOTLY, SEABORN, MATPLOTLIB, PANDAS, AND NUMPY

Discount - $ 19.99 FREE 100% Off

  • Lectures -7 sections • 7 lectures • 1h 5m total length
  • Skill Level -Beginner Level
  • Language -  English
  • Published - 4/2019
  • Coupon -COUPON
  • Instructor -Created by James Thomson
  • Rating -Rating: 4.2 out of 54.2 (87 ratings)
  • Students Enrolled - 14,978 students
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Course Includes

  • ☑️ 1 hour on-demand video
  • ☑️ 3 downloadable resources
  • ☑️ Full lifetime access
  • ☑️ Access on mobile and TV
  • ☑️ Assignments
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What Will I learn?

  • ☑️ Create presentable data visualizations with Python
  • ☑️ Learn how to analyze data with Python
  • ☑️ Make interactive data visualizations using the Plotly module
  • ☑️ Learn how to create plots from your data using Matplotlib, and Seaborn
  • ☑️ Analyze data using the Pandas library to create and structure data
  • ☑️ Analyze data using the NumPy library to create and manipulate arrays
  • ☑️ Use the Jupyter Notebook Environment

Requirements

  • ☑️ Basic to Intermediate Python Skills
  • ☑️ Basic math skills
  • ☑️ A Desire to learn!

Who is the target audience?

  • ☑️ Who this course is for:Anyone interested in learning more about Python, Data Science, or Data VisualizationsDevelopers interested in learning how to Analyze and Visualize data with PythonAnyone interested about the rapidly expanding world of Data Science!
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Fundamental Data Analysis and Visualization Tools in Python| Programming Buddy Club | Free Udemy Course Fundamental Data Analysis and Visualization Tools in Python| Programming Buddy Club | Free Udemy Course Reviewed by Programming Buddy Club on 12:18 PM Rating: 5

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