Toggle navigation sidebar

Toggle in-page Table of Contents

Analytics & Big Data

Welcome

Introduction

Online Marketing
Python

Digital Analytics

See Think Do
Metrics
Google
Social media
A/B-Testing

Exploratory data analysis

Data to Viz
EDA in Python
Catgeorical data
Numerical data

Web Scraping

HTML and CSS
Scraping quotes
Scraping salary

Text Mining & Networks

Twitter
Textmining

Dashboards

Streamlit

Big Data

Introduction
Databses introduction
MySQL
PostgreSQL

Analytics

Models
Linear Regression
Linear Regression in Python
Classification introduction
Logistic Regression
Online ads

Cases

Fallstudie 1
Fallstudie 2
Fallstudie 3

References

Bibliography

Powered by Jupyter Book

Colab

repository
open issue

.ipynb
.md

Bibliography

Bibliography#

previous

Fallstudie 3

By Jan Kirenz
© Copyright 2022.