Data Science Foundations

Integrate knowledge from mathematics and computing to support your skills in data analysis and interpretation.
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Our learning paths teach professionals the essential English terms and expressions they need to succeed in their careers, supported by real-world examples from their industry. Learners will get the English required for:
Careers in data science
Data Management
Brainstorming data management methodologies
Data Reporting
Presenting raw data
Talking about data results
Data Security
Presenting a data security proposal
Talking about data integrity gaps
Data mining
Data visualization
Common graphs and charts
Presenting data and visuals
Data wrangling
Analyzing data in Excel
Machine learning overview
Assessing model performance
How to train a machine learning model
Types of machine learning
Math for data science
Linear algebra
Optimization algorithms
Regression algorithms
Programming fundamentals for data scientists
Data types
Functions
Python
R
Research methods for data science
A/B testing
Conducting surveys
Designing experiments
Statistics for research