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English for Data Science & Data Analytics
Rating: 5.0 out of 5(1 rating)
3 students

English for Data Science & Data Analytics

Vocabulary, grammar & communication for tech professionals
Created byYana Herus
Last updated 11/2025
English

What you'll learn

  • Use essential Data Science & Analytics vocabulary
  • Describe datasets, features, trends, and insights
  • Present and explain visualizations and dashboards
  • Apply grammar for analytical writing and reporting

Course content

15 sections15 lectures1h 14m total length
  • Introduction+Present Simple4:19

Requirements

  • Basic understanding of English (A2–B1 level or higher)
  • A laptop or smartphone to watch video lessons and complete the workbook

Description

This course is designed for learners who want to confidently use English in the fields of Data Science and Data Analytics. It teaches the essential vocabulary, grammar, and communication patterns needed to describe data, present insights, explain trends, and discuss analytical results in a clear and professional way. You will learn how to talk about datasets, features, metrics, correlations, dashboards, charts, and Machine Learning models using correct language and structure.

Unlike traditional English courses, this program is bilingual — English + Ukrainian. All explanations and grammar breakdowns are provided in Ukrainian for full clarity and easier understanding, while practice tasks, exercises, and real examples are in English to build practical fluency. This makes the course accessible even for learners who do not feel confident with technical English yet.

You will work with a downloadable PDF workbook, vocabulary sheets, grammar modules for analytical writing, and video lessons that demonstrate real usage of language in Data Science contexts. By the end of the course, you will be able to write reports, describe visuals, communicate insights, and prepare for Data Analyst or Data Scientist interviews using strong and accurate English.

This course is designed for learners who want to confidently use English in the fields of Data Science and Data Analytics. It teaches the essential vocabulary, grammar, and communication patterns needed to describe data, present insights, explain trends, and discuss analytical results in a clear and professional way. You will learn how to talk about datasets, features, metrics, correlations, dashboards, charts, and Machine Learning models using correct language and structure.

Unlike traditional English courses, this program is bilingual — English + Ukrainian. All explanations and grammar breakdowns are provided in Ukrainian for full clarity and easier understanding, while practice tasks, exercises, and real examples are in English to build practical fluency. This makes the course accessible even for learners who do not feel confident with technical English yet.

You will work with a downloadable PDF workbook, vocabulary sheets, grammar modules for analytical writing, and video lessons that demonstrate real usage of language in Data Science contexts. By the end of the course, you will be able to write reports, describe visuals, communicate insights, and prepare for Data Analyst or Data Scientist interviews using strong and accurate English.

Who this course is for:

  • Data Analysts, Data Scientists, IT specialists