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5 H Data Challenge Course - Scraping-Cleaning-Analysis

person icon AlexanderSchlee

4.6

5 H Data Challenge Course - Scraping-Cleaning-Analysis

Data Extraction - Data Cleaning - Data Analysis

updated on icon Updated on Feb, 2024

language icon Language - English

person icon AlexanderSchlee

category icon IT & Software,IT Certification,Data Analysis

Lectures -34

Resources -1

Duration -5.5 hours

4.6

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Course Description

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.

Goals

What will you learn in this course:

  • Data Extraction

  • Data Cleaning

  • Data Analysis

  • Pandas

  • PostgreSQL

Prerequisites

What are the prerequisites for this course?

  • Basics of Python Programming

  • Basics of Beautiful Soup

5 H Data Challenge Course - Scraping-Cleaning-Analysis

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
1 Lectures
  • play icon Introduction 03:20 03:20
Relevant Packages
3 Lectures
Tutorialspoint
Dataset Creation - Web Scraping
6 Lectures
Tutorialspoint
Data Cleaning
11 Lectures
Tutorialspoint
Data Analysis
12 Lectures
Tutorialspoint
Course Resources
1 Lectures
Tutorialspoint

Instructor Details

AlexanderSchlee

AlexanderSchlee

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.

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