High Speed Data Analysis for the REAL WORLD
High Speed Data Analysis for the REAL WORLD, available at $39.99, has an average rating of 3.9, with 65 lectures, based on 61 reviews, and has 12281 subscribers.
You will learn about 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 This course is ideal for individuals who are Python developer interested in Data Analysis or Anyone interested in data science and data analysis for use in practical application not theory. or Those involved in marketing or promotion of products or services. It is particularly useful for Python developer interested in Data Analysis or Anyone interested in data science and data analysis for use in practical application not theory. or Those involved in marketing or promotion of products or services.
Enroll now: High Speed Data Analysis for the REAL WORLD
Summary
Title: High Speed Data Analysis for the REAL WORLD
Price: $39.99
Average Rating: 3.9
Number of Lectures: 65
Number of Published Lectures: 65
Number of Curriculum Items: 65
Number of Published Curriculum Objects: 65
Original Price: $19.99
Quality Status: approved
Status: Live
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
Who Should Attend
- Python developer interested in Data Analysis
- Anyone interested in data science and data analysis for use in practical application not theory.
- Those involved in marketing or promotion of products or services.
Target Audiences
- Python developer interested in Data Analysis
- Anyone interested in data science and data analysis for use in practical application not theory.
- Those involved in marketing or promotion of products or services.
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! ****
Course Curriculum
Chapter 1: Getting Started (DO NOT SKIP)
Lecture 1: Getting Started
Lecture 2: Course Goals
Lecture 3: What you will learn
Lecture 4: Resource Locations
Lecture 5: Best Practices
Lecture 6: Finally
Chapter 2: Introduction
Lecture 1: Disclaimer
Lecture 2: All of the resources needed for this course.
Lecture 3: Who I am
Lecture 4: What else do you see?
Lecture 5: Just the code please
Chapter 3: The System Set-Up
Lecture 1: Setting up you system ( Highly Recommended )
Lecture 2: Oracle VirtualBox ( Highly Recommended )
Lecture 3: Oracle VirtualBox Extension Pack ( Highly Recommended )
Lecture 4: How To
Lecture 5: Your Virtual Machine
Lecture 6: Creating your own VM
Lecture 7: VM Quick Tips
Lecture 8: Exporting a VM
Lecture 9: Sublime Text
Lecture 10: Linux commands
Chapter 4: Data Analysis
Lecture 1: Introduction to Data Analysis
Chapter 5: Web Scraping
Lecture 1: To Know
Lecture 2: Use Case
Lecture 3: Web Scraping PT.I
Lecture 4: Web Scraping PT.II
Lecture 5: Follow Up
Lecture 6: Udemy Site Security Example
Chapter 6: Text from Images
Lecture 1: Use Case
Lecture 2: Extract Text from image PT.I
Lecture 3: Extract Text from image PT.II
Lecture 4: Udemy video text extraction
Chapter 7: Pdf text extraction
Lecture 1: Extracting text from a .pdf
Chapter 8: MS Word test extraction
Lecture 1: Extracting text from a Microsoft Word document
Chapter 9: Csv text extraction
Lecture 1: Use Case #1
Lecture 2: Basic .csv text extraction
Lecture 3: Use Case #2
Lecture 4: .csv text extraction and with Python Pandas
Lecture 5: Follow Up
Chapter 10: File Similarity Comparison
Lecture 1: Use Case
Lecture 2: Compare Files for similarity
Lecture 3: Follow Up
Chapter 11: Data Acquisition and Preparation
Lecture 1: Use Case
Lecture 2: Data acquisition and preparation
Lecture 3: Follow Up
Chapter 12: Word and Sentence frequency analysis
Lecture 1: Use Case
Lecture 2: Tokenization frequency
Lecture 3: Follow Up
Lecture 4: Multi-file Tokenization
Chapter 13: Named-entity Recognition
Lecture 1: Use Case
Lecture 2: Entity Extraction
Lecture 3: Follow Up
Lecture 4: BONUS (NER for Web Scrapes)
Chapter 14: Term Frequency Inverse Document Frequency
Lecture 1: Use Case
Lecture 2: Execute TF-IDF across a collection of files
Lecture 3: Follow Up
Chapter 15: Tag Cloud Generation
Lecture 1: Use Case
Lecture 2: Generate a tag cloud for presentation
Lecture 3: Follow Up
Chapter 16: BONUS (XML text extraction)
Lecture 1: Parse legal proceedings to extract text for analysis
Chapter 17: BONUS (Basic Recommender System)
Lecture 1: Recommender for higher margin products
Chapter 18: BONUS (DocNovus NLP tool)
Lecture 1: Introduction
Lecture 2: BONUS (DocNovus Sales Transcript Analysis)
Lecture 3: BONUS (DocNovus integrated into a Manufacturing Execution System)
Lecture 4: BONUS (DocNovus origin compared to IBM Watson)
Instructors
-
J. Michael Stattelman
Chief Technology Officer
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 1 votes
- 3 stars: 11 votes
- 4 stars: 21 votes
- 5 stars: 23 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Language Learning Courses to Learn in November 2024
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024