Graduate Certificate in Quantitative Analysis in Data Science
-- viewing nowThe Graduate Certificate in Quantitative Analysis in Data Science is a comprehensive course that focuses on essential data analysis skills in high demand across industries. This program equips learners with the ability to interpret complex data sets, apply statistical methods, and utilize cutting-edge data analysis tools.
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Course Details
• Data Analysis Fundamentals: Descriptive statistics, probability distributions, data visualization, and data preprocessing.
• Regression Analysis: Simple and multiple linear regression, logistic regression, and regularization techniques.
• Machine Learning Basics: Supervised and unsupervised learning, clustering, and classification algorithms.
• Time Series Analysis: Autoregressive, moving average, and ARIMA models, time series forecasting.
• Experimental Design: Hypothesis testing, ANOVA, design of experiments, and A/B testing.
• Optimization Methods: Linear and non-linear optimization, gradient descent, and quadratic programming.
• Natural Language Processing: Text preprocessing, sentiment analysis, topic modeling, and NLP libraries.
• Data Engineering: Data storage solutions, data pipelines, and big data processing techniques.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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