Professional Certificate in ESL for Data Science
-- ViewingNowThe Professional Certificate in ESL for Data Science is a crucial course designed to provide English language training to data science professionals. This program is particularly important for non-native English speakers seeking to advance their careers in the rapidly growing field of data science.
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โข Unit 1: Introduction to ESL for Data Science - English language basics, technical terminology, understanding data science concepts
โข Unit 2: Data Preparation - Data collection, cleaning, and preprocessing using ESL
โข Unit 3: Exploratory Data Analysis - Visualization tools, statistical methods, and data interpretation
โข Unit 4: Machine Learning Fundamentals - Supervised and unsupervised learning, regression, and classification algorithms
โข Unit 5: Advanced Machine Learning - Deep learning, neural networks, and reinforcement learning
โข Unit 6: Natural Language Processing - Text analysis, sentiment analysis, and named entity recognition
โข Unit 7: Data Visualization - Chart creation, dashboard design, and data storytelling
โข Unit 8: Big Data and Cloud Computing - Hadoop, Spark, and cloud-based data storage and processing
โข Unit 9: Ethics and Privacy - Understanding data ethics, privacy concerns, and regulatory compliance
โข Unit 10: Best Practices and Career Development - Effective collaboration, communication, and professional growth in the data science field.
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EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
- NotRegulatedAuthorized
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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