Complete Data Wrangling & Data Visualisation With Python

Complete Data Wrangling & Data Visualisation With Python

What you’ll learn

  • Install and Get Started With the Python Data Science Environment- Jupyter/iPython
  • Read In Data Into The Jupiter/iPython Environment From Different Sources
  • Carry Out Basic Data Pre-processing & Wrangling In the Jupyter Environment
  • Learn to IDENTIFY Which Visualisations Should be Used in ANY given Situation
  • Go From A Basic Level To Performing Some Of The MOST COMMON Data Preprocessing, Data Wrangling & Data Visualization Tasks In Jupyter
  • How To Use Some Of The MOST IMPORTANT Data Wrangling & Visualisation Packages Such As Matplotlib
  • Build POWERFUL Visualisations and Graphs from REAL DATA
  • Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation
  • Gain PROFICIENCY In Data Preprocessing, Data Wrangling & Data Visualisation In Jupyter By Putting Your Soon-To-Be-Acquired Knowledge Into IMMEDIATE Application 

Who this course is for:

  • Students Interested In Getting Started With Data Science Applications In The Jupyter Environment
  • Students Interested in Learning About the Common Pre-processing Data Tasks
  • Students Interested in Gaining Exposure to Common Python Packages Such As pandas
  • Those Interested in Learning About Different Kinds of Data Visualisations
  • Those Interested in Learning to Create Publication Quality Visualisations

Can I download Complete Data Wrangling & Data Visualisation With Python course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Complete Data Wrangling & Data Visualisation With Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
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