High Speed Data Analysis for the REAL WORLD

Secret weapons for real world data gathering, extraction and analysis, ready to use NOW!

3.90 (61 reviews)
Udemy
platform
English
language
Data & Analytics
category
High Speed Data Analysis for the REAL WORLD
12,281
students
5 hours
content
Jun 2023
last update
$39.99
regular price

What you will learn

Enterprise level Text Data Analysis

Natural Language Processing using Python

NLTK: A leading platform for building Python programs to work with human language data.

Web Scraping (Gathering and extracting text data from blogs, articles or text content sites and pages)

Named-entity Recognition. (How to extract key pieces of information from text sources)

Extract text from .pdf documents for analysis

Pandas Dataframe manipulation and export to pdf

Import and Export Virtual Machines with Oracle VirtualBox

Text tokenization for word and sentence analysis

spaCy: NLP library designed to help you do real work — to build real products, or gather real insights.

Optical Character Recognition (OCR) for text extraction from images using pytesseract

Generate .pdf reports of your analysis to share instantly.

Extract text from MS Word documents for analysis

Why take this course?

THIS IS THE ULTIMATE GET STARTED FAST COURSE. Make no mistake data is the new gold. The amount of data being generated is exploding, those that can mine and analyze it for actionable decisions ARE WINNING. That is what you will learn in this course. We deploy a "Use Case" approach to not only give you a real world situation but show you step by step how to apply various Natural Language Processing methods or tools to extract the data you need for a fast accurate solution. NO SUBSCRIPTIONS, NO software to buy, just the tools provided to you in this course!


***Update to Include DocNovus(trained Model N.L.P. solution) use cases***


Why Data Analysis:

"Over 2.5 quintillion bytes of data are created every single day, and it’s only going to grow from there. Today, it’s estimated that 1.7MB of data will be created every second for every person on earth."


TOP 10 Reasons YOU should learn Data Analysis:

1. Take this course to unlock opportunities you never knew about.

2. You already use Natural Language Processing (NLP) applications without even knowing it (Spell Checkers, Chatbots, Siri, Alexa, Resume sites, News aggregators)

3. The Banking industry uses NLP data analysis for various loan application processing.

4. Investors use NLP data analysis for financial statement insights.

5. Marketers use NLP data analysis for advertising/content optimization.

6. Healthcare insurers use NLP data analysis for faster claims processing.

7. Higher Education schools and institutes use NLP data analysis for plagiarism checking.

8. Brand managers use NLP to monitor customer feedback and mood towards certain brands.

9. Law Firms use NLP data analysis for contract auditing.

10. The Luxury industry uses NLP data analysis to provide better purchase recommendations.

**** Can you afford NOT TO cash in on the future?


* Add a new dimension to your Search Engine Optimization (With better keywords)

*Get higher conversions from your sales scripts. (By understanding why ones perform and others do not)

*Increase the accuracy of your opponent profile. (Isolate words and phrases used most)


All of this falls under the Domain of Natural Language Processing. Natural Language Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software. But that doesn't even come close to what you can do with NLP and a variety of Data. You will become familiar with some basics in the Python programming language and in the end, you will have a portable (virtual machine) personal arsenal of tools to leverage across any number of text data sources. Giving you and or your organization the edge now and moving forward.


*Get the upper hand in Content Generation. (Optimized Content based on Analysis)


As an organizational leader, If you wanted to generate insights for text data, this course is for you. If you are involved in Market research this course is for you. If you conduct any form of competitive analysis this course is for you. Political campaign strategists needing a deeper understanding of the opponent, you guessed it. THIS COURSE IS FOR YOU!


*Level-Up in your Career, not just in a game but in REAL LIFE with RIGHT NOW SKILLS! (Instantly ADD MORE VALUE)


What you will learn are HIGHLY transferable skills applicable across a wide range of industries beyond I.T. (Healthcare, Legal, Insurance, Politics and Business). Whether you are changing careers, a student, an MBA or in a leadership position; your analysis skills will improve tremendously!


Are there other uses for what you learn? ABSOLUTELY. One example that was sent to me, was from a songwriter. Yes, you read that correctly, a songwriter using data analysis! This individual compiled a collection of the lyrics of the top selling songs in his genre for the past 10 years. Using the Token frequency and TF-IDF scripts to isolate most used and highest weighted words across all lyrics in an effort to write songs with an increased probability for success. OF_NOTE: He did acknowledge that were more factors that play into this, but he was determined to capture every advantage possible.

"To be able to do data analysis like this by myself, gives me a broader range of thought and creativity as to what is possible for my music"

C.H.


**** Unlike any other course I am aware of, YOU get a data analysis Virtual Machine ready to run out of the box! ****

Content

Getting Started (DO NOT SKIP)

Getting Started
Course Goals
What you will learn
Resource Locations
Best Practices
Finally

Introduction

Disclaimer
All of the resources needed for this course.
Who I am
What else do you see?
Just the code please

The System Set-Up

Setting up you system ( Necessary )
Oracle VirtualBox (Necessary)
Oracle VirtualBox Extension Pack (Necessary)
How To
Your Virtual Machine
Creating your own VM
VM Quick Tips
Exporting a VM
Sublime Text
Linux commands

Data Analysis

Introduction to Data Analysis

Web Scraping

To Know
Use Case
Web Scraping PT.I
Web Scraping PT.II
Follow Up
Udemy Site Security Example

Text from Images

Use Case
Extract Text from image PT.I
Extract Text from image PT.II
Udemy video text extraction

Pdf text extraction

Extracting text from a .pdf

MS Word test extraction

Extracting text from a Microsoft Word document

Csv text extraction

Use Case #1
Basic .csv text extraction
Use Case #2
.csv text extraction and with Python Pandas
Follow Up

File Similarity Comparison

Use Case
Compare Files for similarity
Follow Up

Data Acquisition and Preparation

Use Case
Data acquisition and preparation
Follow Up

Word and Sentence frequency analysis

Use Case
Tokenization frequency
Follow Up
Multi-file Tokenization

Named-entity Recognition

Use Case
Entity Extraction
Follow Up
BONUS (NER for Web Scrapes)

Term Frequency Inverse Document Frequency

Use Case
Execute TF-IDF across a collection of files
Follow Up

Tag Cloud Generation

Use Case
Generate a tag cloud for presentation
Follow Up

BONUS (XML text extraction)

Parse legal proceedings to extract text for analysis

BONUS (Basic Recommender System)

Recommender for higher margin products

BONUS (DocNovus NLP tool)

Introduction

Screenshots

High Speed Data Analysis for the REAL WORLD - Screenshot_01High Speed Data Analysis for the REAL WORLD - Screenshot_02High Speed Data Analysis for the REAL WORLD - Screenshot_03High Speed Data Analysis for the REAL WORLD - Screenshot_04

Reviews

Johnny
August 8, 2020
This course is very practical and hands-on, you will actually need some previous Python knowledge but this course helps you to go from theory into practice. Professor Michael is very good and all the material is excellent it covers many things you may actually need. I'm very satisfied with everything I've just learned.
Navjyot
May 11, 2020
It is a bit difficult to hear what the Instructor is explaining. Overall, the content is amazing and he does a good job of explaining the essentials. A little more detail and insights into the code would be great.
Michael
May 2, 2020
I like how each video is short to the point. I tmakes it more enjoyable to watch he is speaking about

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2980804
udemy ID
4/9/2020
course created date
5/1/2020
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