Are you a Data Scientist or Engineer looking for career success in this leading edge industry?
Data Scientists have the "The Sexiest Job of the 21st Century" according to the Harvard Business Review.
The McKinsey Global Institute predicts that there will be four to five million data science jobs by 2018, and that success in Big Data include "asking the right questions and consuming the results of analysis of big data effectively."
Communication and speaking skills are therefore critical, along with deep analytical and technical competence.
Learning how to communicate fluently using Data Science industry terminology will give you a significant competitive advantage.
The Challenge of Data Science Industry Terminology
Data science vocabulary terms are challenging to pronounce correctly if you are a non-native American English speaker.
This is because many of the terms are multi-syllabic and involve changing syllable stress patterns.
What You Will Learn:
In this course you will learn how to say 100+ frequently used Data Science industry terms clearly and correctly the American way.
Examples of the Data Science terms we cover include: homogeneous, homogeneity, coefficient, parameterization, and 100 more.
Your Data Science career success demands that you communicate in a way that American professionals respect and understand.
The lessons in this course are designed to help you achieve this!
Directions & Pronunciation Rules
Data Science Master List with 100+ terms
All materials can be downloaded here