Global Certificate in Data & AI for Progress Analysis
-- ViewingNowThe Global Certificate in Data & AI for Progress Analysis is a crucial course designed to meet the increasing industry demand for professionals who can leverage data and AI to drive progress and informed decision-making. This certification equips learners with essential skills in data analysis, machine learning, and artificial intelligence, making them highly valuable in today's data-driven economy.
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• Data Acquisition & Cleaning: This unit covers the fundamentals of obtaining and preparing data for analysis, including data scraping, APIs, and data cleansing.
• Data Analysis with Python: Dive into the use of Python programming for data analysis, focusing on popular libraries such as NumPy, pandas, and Matplotlib.
• AI & Machine Learning: Understand the principles of artificial intelligence and machine learning, including supervised and unsupervised learning, and neural networks.
• Natural Language Processing (NLP): Learn about NLP techniques, such as tokenization, stemming, and sentiment analysis, to extract insights from text data.
• Predictive Modeling: This unit covers the development of predictive models, including regression, classification, and time-series analysis.
• Data Visualization: Learn how to create effective and informative visualizations to communicate your findings to stakeholders.
• Ethics in Data & AI: Understand the ethical considerations surrounding the use of data and AI, including privacy, bias, and transparency.
• Data & AI for Social Good: Explore the potential for data and AI to drive positive social change, including in areas such as healthcare, education, and the environment.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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