Python for Data Analytics

Video description

According to the latest O’Reilly Data Science Salary Survey, Python is one of the tools that contribute most to a data scientist's salary. If you want to take your Python skills to the next level and perform data analysis, this practical, hands-on learning path will show you how to do vital tasks such as: choosing the correct analytic model for your analytics job; parsing, cleaning and analyzing data using the Python Pandas library; and basic …

Python for Data Analytics

Video description

Publisher resources

Download Example Code

Introduction to Data Exploration

Opportunities and Goals

The State of Data

Data Optimism

Getting Started

Software Setup, IPython, and Import and Validation

Data Organization

Visualizing Distributions

PMFs and CDFs

Relationships Between Variables

Scatterplots

Correlation and Least Squares

Statistical Inference

Introduction to Statistical Inference

Effect Size

Effect Size, Difference in Proportions

Quantifying Precision

Hypothesis Testing

Regression

Linear Regression

Logistic Regression

Modeling Distributions

Survival Analysis

Inspection Paradox

Introduction

About The Course And What To Expect

About The Author

The Basics Of Data Visualization

Storytelling - What Story Do You Want To Tell?

Types Of Charts - Their Purposes And How To Choose The Right One

Choosing The Right Colors

Common Pitfalls In Data Visualization

Good Practices In Data Visualization

Reproducibility In Data Visualization

Data Sources

Data Vis In Python - matplotlib

The Programmatic Visualization Framework

Using matplotlib In The Jupyter Notebook

matplotlib Styles

Making Basics Plots - Lines, Bars, Pies And Scatterplots

Plotting Distributions - Histograms And Box Plots

Subplots And Small Multiples

Conclusion

Wrap Up

Introduction

Welcome To The Course

About The Author

Local Setup, What We’ll Be Using

Getting The Data

Basic Files

Excel Files

PDF Files

Using PDF Tables

Streaming And Rest APIs: Twitter

Using APIs Without Libraries

Introduction To Web Scraping

Building Your Own Web Scraper

Python 2 vs Python 3 Encoding

A Word On Encoding

Data Analysis With Pandas

Pandas Data Structures

Pandas Data Types

Filtering With Pandas

Combining Datasets

Joining Datasets

Split-Apply-Combine

Simple Statistics With Pandas

Standardizing Your Data

Normalizing Your Data

Cleaning Your Data

Identifying “Bad” Data

Simple String Parsing With Regex

Fuzzy Matching

Storing Your Data (Local And Cloud)

Pandas. More Advanced Functionality

Identifying Trends

Identifying Outliers

Monitoring Speed/Performance

Parallelizing

Other Advanced Data Libraries

Natural Language Processing

Introduction To Numpy And Scipy

Visualization With Matplotlib And Bokeh

Conclusion

Where To Go Next

Start your Free Trial

Self paced

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