5 H Data Challenge Course – Scraping-Cleaning-Analysis

What you’ll learn

Data Extraction

Data Cleaning

Data Analysis

Pandas

PostgreSQL

Requirements

Basics of Python Programming

Basics of Beautiful Soup

Description

3 Main Topics will be covered:

1) Data Extraction/ Web Scraping

2) Data Cleaning

3) Data Analysis

Once we have collected all the necessary data, the datasets will be merged to one dataset. Then the cleaning process with the Pandas Library will start. The goal is to make the data database readable and modifying/ manipulating the data. Once our data is cleaned, we start with the Data Analysis part. That means we will answer 10 different questions, based on our extracted and cleaned dataset. To be able to answer the 10 questions, we make use of the Pandas Dataframe, PostgreSQL and Matplotlib. You will get to know different approaches to how answer real life questions based your own created dataset.

After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. After the datasets is created, we will clean the data and finally focus on the data analysis.

With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions any inside the Q&A – Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.

What you’ll learn

Web Scraping

Pandas

Beautiful Soup

Data Extraction

Web Scraping for Data Science

Data Mining

Data Scraping & Data Cleaning

Data Analysis

PostgreSQL

Are there any course requirements or prerequisites

Basic understanding of Python Programming

Basic understanding of Beautiful Soup

Who this course is for:

Everybody who is interested in Web Scraping (Create own dataset), Data Cleaning & Data Analysis

Professionals who want to create their own dataset without being dependent on some else

Who this course is for:

Data Scientists

Data Analysts

People who want to create their own dataset, clean the data and analyze the data

Answer questions with Pandas, PostgreSQL, Matplotlib