Data Challenge Course - Data Extraction, Data Cleaning, Data Analysis

5 H Data Challenge Course - Scraping-Cleaning-Analysis

Data Extraction - Data Cleaning - Data Analysis

Created by : Rated :4.7 9175 views

Last Updated: 2022-12-16 04:12:17 English Course Type: Self Learning

Data Extraction
Data Cleaning
Data Analysis
Pandas

3 Main Topics will be covered:

1) Data Extraction/ Web Scraping

2) Data Cleaning

3) Data Analysis

We start with the extraction of Real Estate Data from 10 different cities/states. 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 anytime 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

What you’ll learn

Data Extraction
Data Cleaning
Data Analysis
Pandas
PostgreSQL

Are there any course requirements or prerequisites?

Basics of Python Programming
Basics of Beautiful Soup

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

Basic understanding of Python Programming
Basic understanding of Beautiful Soup

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

Section 1 : Introduction 1 Lectures 00:03:20
Lecture 1 :
Introduction Preview
Section 2 : Relevant Packages 3 Lectures 00:13:17
Lecture 1 :
Beautiful Soup & Requests
Lecture 2 :
Jupyter Notebook & Pandas & sqlalchemy
Lecture 3 :
PostgreSQL
Section 3 : Dataset Creation - Web Scraping 6 Lectures 00:19:04
Lecture 1 :
Dataset Creation - Overview
Lecture 2 :
Initial Steps
Lecture 3 :
Concatenate URL Parts
Lecture 4 :
Extract Data from First Link
Lecture 5 :
Put all together and loop through results
Lecture 6 :
Scrape Multiple Pages
Section 4 : Data Cleaning 11 Lectures 01:41:54
Lecture 1 :
Data Cleaning - Overview
Lecture 2 :
Imports & Merge Datasets
Lecture 3 :
Missing Data, Doubles & Index Change
Lecture 4 :
Change Price Column
Lecture 5 :
Change Area Column
Lecture 6 :
Change Bedrooms & Bathrooms Column
Lecture 7 :
Modify Parking Column
Lecture 8 :
Numbers to Integers Part 1
Lecture 9 :
Numbers to Integers Part 2
Lecture 10 :
Numbers to Integers Part 3
Lecture 11 :
Create New Price/Sqft Clumn
Section 5 : Data Analysis 12 Lectures 01:28:47
Lecture 1 :
Data Analysis Section - Overview
Lecture 2 :
Imports & Output Data (Pandas/PostgreSQL)
Lecture 3 :
Question 1
Lecture 4 :
Question 2
Lecture 5 :
Question 3
Lecture 6 :
Question 4
Lecture 7 :
Question 5
Lecture 8 :
Question 6
Lecture 9 :
Question 7
Lecture 10 :
Question 8
Lecture 11 :
Question 9
Lecture 12 :
Question 10

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Alexander Schlee,

163587 Course Views

3 Courses

Hi Everyone, my name is Alex and I know that a lot of Programming-Topics can be very confusing and overwhelming. My Goal is to share my knowledge in a very simple way. I'm focussing on Python, Selenium and the whole Web Scraping Process. Especially for my own Data Science and Machine Learning Projects, I need to understand the concepts behind Web Scraping and I want to share it with my students.