Full width home advertisement

Welcome Home


Post Page Advertisement [Top]

 PYTHON DATA SCIENCE VIDEO   TUTORIAL


 

 AUTHOR:

  Simplilearn


VIDEO COURSE OUTLINE:


Chapter 1:       Introduction


Chapter  2:       Discovering the Match between Data Science and Python


Chapter  3:       Introducing Python Capabilities


Chapter  4:       Introduction Introduction Setting Up Python for Data Science


Chapter  5:      Reviewing Basic Python


Chapter  6:      Working with Real Data


Chapter  7:      Conditioning Data


Chapter  8:      Shaping the Data


Chapter  9:      Putting What You Know in Action


Chapter  10:      MatPlotLib


Chapter  11:    Visualizing the Data


Chapter  12:    Understanding the Tools


Chapter  13:    Stretching Python Capabilities


Chapter  14:    Exploring Data Analysis


Chapter  15:    Reducing Dimensionality


Chapter  16:     Clustering


Chapter  17:     Detecting Outliers in Data


Chapter  18:     Exploring Four Simple and Effective Algorithms


Chapter  19:     Performing Cross-Validation, Selection, and Optimization


Chapter  20:     Increasing Complexity with Linear and Nonlinear Tricks


Chapter  21:     Understanding the Power of the Many


Chapter  22:     Essential Data Science Resource Collections


Chapter  23:     Data Challenges You Should Take


chapter  24:     Video Lectures


Chapter  25:    Exams and Certification


Python Data Science Quiz and Test

Python Data Science Exams and Certification


No comments:

Post a Comment

Bottom Ad [Post Page]