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Natural Language Processing and Text Mining Without Coding Course

Natural Language Processing and Text Mining Without Coding Course

Analyze a text using Natural Language Processing ( NLP ) techniques & Text Mining without writing a single line of code.

What you’ll learn

Natural Language Processing and Text Mining Without Coding Course

  • Students will learn various Natural Language Processing techniques and build various real-world examples without writing a line of code.

Requirements

  • Able to use a Windows computer and install software on it
  • Basic Arithmetic

Description

Looking to Earn a 6-Figure Income?  Data Scientists with Natural Language Processing & Text Mining Skills are the Hottest and Most In-Demand Job Applicants Today!

Data Scientist was recently dubbed “The Sexiest Job of the 21st Century” by Harvard Business Review, Glassdoor reports that Data Scientist was named the “Best Job in America for 2016,” and business media from Forbes to The New York Times frequently report about the increasing demand for data scientists.

Most of this boom is using data that is organized and structured from your databases and spreadsheets but a huge opportunity awaits from the untapped unstructured text data (aka tweets, Facebook posts, blog posts, comments, SMS, chats, voice transcripts, etc.).

Within the data science field, natural language processing is an extremely hot area in academia, startups and is just being started to be used widely within the mainstream of corporate America. Data Scientist job posting with natural language processing skills roughly doubled in 2016.

Why is this great news for you?

When you learn natural language processing and text mining, you will be among the elite few who can choose from a huge amount of career opportunities and a high 6-figure average salary.

The sudden increase in demand for Data Scientists with natural language processing and text mining skills will create a huge gap in the coming few years.

A Rare Opportunity to Quickly Learn Natural Language Processing and Text Mining at an Affordable Cost… No Previous Knowledge of Programming Required!

Traditional Natural Language Processing and Text Mining requires students to know software programming, which enables them to write NLP algorithms.  As a new learner, the complexity of learning programming languages like Python or R can be demotivating and make you lose interest fast.

There’s literally no other course on the market that teaches Machine Learning without the need for programming knowledge or coding using Rapidminer!

Happily, now you can shorten your learning curve and be on your way toward earning a 6-figure income with this groundbreaking Udemy training.

We’ll Build Several Natural Language Processing Algorithms and Advanced Reports Using Text

I’ll “hand-hold” you as we build from scratch several hands-on examples using Natural Language Processing algorithms used in the real world. I will explain where and how these algorithms are used.

Learn Both the Theory and Application of Natural Language Processing

The course will teach you those fundamental concepts of natural language processing by implementing practical exercises which are based on real-world examples. You will learn the theory, but get hands-on practice building these natural language processing algorithms.

You’ll also get access to:

  • The datasets used in all the exercises.
  • The solution files of the completed exercises.
  • Cheatsheets to help you remember the fundamental concepts.

Join the class now!

Who this course is for:

  • Software Programmers or Data Analysts Trying To Learn Natural Language Processing and Text Mining
  • Business Analysts With No Programming Background Yet Want To Learn Natural Language Processing and Text Mining
  • Anyone Who Wants To Understand the Fundamentals of Natural Language Processing and Text Mining
Download Now Content From: https://www.udemy.com/course/master-natural-language-processing-nlp-text-mining-without-coding/

SEE MORE COURSE: Intro to Data Science: Your Step-by-Step Guide To Starting

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