📚 Additional materials on topics covered in the course:
LinkedIn Boiko Artem
https://www.linkedin.com/in/boikoartem/
🔎 Topics covered in this course:
- Course Overview
- Tools Used in this Course
- Target Audience
- What’s Required?
- About me
Introduction
Part 1. Python. 1st Dataset. PDF files. Tika OCR. Regular Expression. Array und Function
1st Dataset. PDF files. Tika OCR. Extracting content and metadata.00:08:40
Regular Expression in Python. Pattern matching in Python with RegEx.00:10:33
Array und Function in Python. Add data to Array. Create function.00:09:48
Python & Regular Expressions
Part 1. Pandas DataFrame. Kaggle. Jupiter Notebook.
Pandas DataFrame. Two-dimensional size-mutable, tabular data structure.00:09:15
Pandas & Kaggle
Part 1. Independent Work Tasks. 2nd Dataset.
2nd Dataset. My solution.00:05:39
Part 1. GitHub. Desktop GitHub
GitHub. Desktop GitHub. Store and manage code00:07:03
Part 2. Python. PyTesseract OCR. Regular Expression. Array und Function.
Scanned PDF files. Convert a pdf document to images using Python.00:10:49
Installing Tesseract. User-defined functions in Python00:09:04
Python & Regular Expressions
Part 2. RegEx. Regular Expression in Python.
Array und Function in Python. Add data to Array.00:13:21
GeoPy – easy to locate the coordinates. Get the latitude and longitude of location00:08:52
Part 2. Kaggle. Jupyter Notebook.
Kaggle. Jupiter Notebook. Plot data with matplotlib, seaborn, squarify.00:10:58
Folium. Mapping in Python. Plot Geographic Data on a Map.00:08:56
Part 3. Big Data Storage and MySQL.
Big Data Storage. Three ways to store digital data.00:05:23
MySql. SQL. Introduction. How it works?00:03:45
Part 3. Practice. Export Excel worksheet data to a MySQL table
Installing and Launching MySQL Workbench. How to Get Started with MySQL Workbench00:03:29
Practice. Excel table into MySql. Import Excel data into a MySQL database.00:08:16
MySQL Quiz
Part 3. A Storage System for Big Data. Hadoop.
Spark. Hadoop. Data’s Distribution. A Storage System for Big Data.00:03:41
Part 3. Practice. How Apache Spark makes your slow MySQL queries 10x faster.
Installing and Launching Apache Spark. Download and Get Started.00:05:07
Practice. Connecting Python To The Spark. Get Started with PySpark and Jupyter Notebook00:07:11
Practice. Connecting MySQL with Spark. Export Data from Mysql to Spark.00:09:33
Spark and Hadoop Quiz
Part 4. The Data Visualisation Tools. Introduction
Data Visualization Tools. Power BI, Tableau, Google Data Studio, Jupyter.00:04:57
Part 4. Practice. Data Visualization with Python. Kaggle and Jupyter Notebook.
Python Data Visualizations. Prepare Data for Visualizations. (Part 1/3)00:11:10
Python Data Visualizations. Clean data for Visualizations (Part 2/3).00:04:57
Python Data Visualizations. Data Visualizations in Jupyter Notebook (Part 3/3).00:11:19
Plotting in Python Quiz
Part 4. Online Data Visualization Tools. Introduction and getting started.
Practice. Power BI. Introduction and getting started.00:07:00
Practice. Tableau. Introduction and getting started.00:04:35
Practice. Google Data Studio. Introduction and getting started.00:06:20
Part 5. Machine Learning. An Introduction.
What is machine learning? Key ML Terminology.00:06:45
Practice. Predict the price of houses. Dataset 1. Beginner’s Guide to Jupyter00:10:24
Part 5. Practice. How does machine learning work?
How does machine learning work? Prediction of construction time and cost.00:07:13
Practice. Prediction of price and time. Data upload and preparation (Part 1/2)00:08:57
Practice. Prediction of price and time. Evaluation Metrics (Part 2/2)00:10:40
Machine Learning Quiz
Part 5. Workflow of a Machine Learning project.
Workflow of a Machine Learning project. Stages of the Machine Learning Modeling00:05:11
Part 5. Practice. San Francisco – explore Building Permits Data. Build Predictive Model.
Practice. Data loading and preparation to Analyzing (Part 1/2).00:12:32
Practice. Cost Prediction. Way to build a Predictive Model (Part 2/2).00:14:08
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Artem Boiko
- Email: boikoartem@gmail.com
