Complete Data Wrangling & Data Visualisation With Python, Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python
Created by Minerva Singh
English
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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 R 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
- Requirements
- The Ability To Install the Anaconda Environment On Your Computer/Laptop
- Know how to install and load packages in Anaconda
- Interest in Learning to Process and Visualise Real Data
