2.1 Advanced Python Data Preparation using Pandas and NumPy in cloud environment -and- 1:1 use case support to apply learning (10-20 hours)

2.1 Advanced Python Data Preparation using Pandas and NumPy in cloud environment -and- 1:1 use case support to apply learning (10-20 hours) Application of statistics tools in python using Google Colab similar to Jupyter notebook.  Application using all other tools available with specialization using python.  (10-20 hours) Advanced Python Data Preparation using Pandas and NumPy in cloud environment -and- 1:1 use case support to apply learning (10-20 hours) Objectives of Advanced Python Data Preparation course will enable participants to select, recommend and perform Python Pandas and NumPy in cloud environment. Five (5) 2.5 hours sessions; 2.0 hour session integrated with coding exercises; 0.5 hour summary session to apply learning. Material provided in MS Powerpoint, Google Slides and Python Google Colab environment with prepared code; see enrollment email for instructions. Complimentary 4-hour 1:1 applied learning / use case support included; additional support can be purchased in 4-