Elements Of Data Science

Elements Of Data Science

Through Practical Projects And Interesting Exercises, Learn How To Work With Data Using Python-No Prior Programming Knowledge Needed!Analyze Vaccine Efficacy, Support For Gun Control, And More In This Exercise-Filled, Beginner-Friendly Introduction To Data Science And Python, The Leading Programming Language In The Data Science Industry.This Clear, Concise Introduction To The Data-Science Discipline Is For People With No Programming Experience. Using Python, A Beginner-Friendly Language Popular Within The Industry, The Book Presents A Basic Yet Powerful Set Of Tools And Methods That Allow You To Do Real Work In Data Science As Quickly As Possible-Everything From Answering Questions And Guiding Decision-Making Under Uncertainty, To Creating Effective Data Visualizations That Have A Real Impact. Concepts Are Explained In Simple Terms, And Exercises In Each Chapter Demonstrate The Practical Purposes Of Various Skill Sets. Practical And Hands-On, The AuthorS Clever Organization Of Content Follows The Steps Of A Data-Science Project: Posing And Refining Questions, Cleaning And Validating Data, Exploratory Analysis And Identifying Relationships Between Variables, Generating Predictions, And Designing Visualizations That Tell A Compelling Story. Upon Finishing The Book, YouLl Be Able To Execute Your Own Data Projects From Start To Finish!Learn How To:Choose Questions, Data, And Methods That Go Togetherfind Data Online Or Collect It Yourselfclean And Validate Dataexplore Datasets, Visualizing Distributions And Relationships Between Variablesmodel Data And Generate Predictionscommunicating Results Effectively