[95% Off Great Offer] Complete Data Wrangling & Data Visualisation With Python

Data Wrangling & Data Visualisation
Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python

What you’ll learn
  1. Install and Get Started With the Python Data Science Environment- Jupyter/iPython
  2. Read In Data Into The Jupiter/iPython Environment From Different Sources

  3. Carry Out Basic Data Pre-processing & Wrangling In the Jupyter Environment

  4. Learn to IDENTIFY Which Visualisations Should be Used in ANY given Situation
  5. Go From A Basic Level To Performing Some Of The MOST COMMON Data Preprocessing, Data Wrangling & Data Visualization Tasks In Jupyter
  6. How To Use Some Of The MOST IMPORTANT R Data Wrangling & Visualisation Packages Such As Matplotlib
  7. Build POWERFUL Visualisations and Graphs from REAL DATA
  8. Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation
  9. Gain PROFICIENCY In Data Preprocessing, Data Wrangling & Data Visualisation In Jupyter By Putting Your Soon-To-Be-Acquired Knowledge Into IMMEDIATE Application
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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
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