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14 | Data science
Today you will learn 5 new English words related to "Data science"
SEWT Team
February 04, 2025
Data science
“Data science” is a crucial topic for ESL learners like yourself, to study and understand due to its increasing prominence in various fields. As a rapidly growing discipline that involves collecting, analyzing, and interpreting data, data science offers you the opportunity to develop valuable skills, such as critical thinking, problem-solving, and technical proficiency. Today’s vocabulary words will allow you to participate in deeper conversations on this increasingly popular topic. Let’s jump right in!
In today’s lesson, you’re going to have:
5 advanced English vocabulary words about Data science.
15 examples of phrases that you can use on a daily basis.
Eye-catching images will help you learn and retain the vocabulary.
5 VOCABULARY WORDS
1. Dataset
Noun
📚 DEFINITION
A collection of related data points, typically organized in a structured format for analysis.
📄 Example Sentences:
The dataset contains thousands of entries, making it ideal for training machine learning models.
Cleaning the dataset is an essential step before conducting any analysis.
Researchers often share datasets to promote collaboration and transparency in their work.
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2. Model
Noun
📚 DEFINITION
A mathematical representation of a system or process, used in data science to make predictions or analyze data.
📄 Example Sentences:
The predictive model helped the company forecast sales for the upcoming quarter.
Validating the model is crucial to ensure its reliability before deployment.
Different types of models can be applied depending on the nature of the data.
3. Visualization
Noun
📚 DEFINITION
The graphical representation of data to make complex information more accessible and understandable.
📄 Example Sentences:
Effective visualization can reveal trends and patterns that are not immediately obvious in raw data.
The dashboard features various visualizations to help stakeholders interpret the data.
Tools like Tableau and Power BI are popular for creating data visualizations.
4. Regression
Noun
📚 DEFINITION
A statistical method used to understand relationships between variables, often used for predicting outcomes.
📄 Example Sentences:
Linear regression is commonly used to predict housing prices based on various features.
The regression analysis provided insights into how different factors affect customer satisfaction.
Understanding regression techniques is vital for making data-driven decisions.
5. Inference
Noun
📚 DEFINITION
The process of drawing conclusions about a population based on a sample of data.
📄 Example Sentences:
Statistical inference allows researchers to make predictions based on limited data.
The study’s findings provide a strong inference about consumer behavior in the market.
Inference methods are essential for hypothesis testing in data analysis.
A PARAGRAPH USING THE 5 VOCABULARY WORDS
Data science is a multidisciplinary field that involves extracting insights from data. By using techniques like inference, data scientists can draw conclusions about a larger population based on a smaller dataset. Regression analysis is a common method used to model relationships between variables, while visualization tools help to understand data patterns visually by creating charts and graphs. A model is built to represent these patterns, enabling predictions and informed decision-making. By effectively combining these elements, data scientists can uncover valuable information and solve complex problems.
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