Professional Certificate in Modelling for Data Science Development
-- viewing nowThe Professional Certificate in Modelling for Data Science Development is a crucial course that focuses on teaching learners the essential skills required for data science modeling. This certificate course is designed to meet the growing industry demand for data science skills, with a particular emphasis on modeling techniques and tools.
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Course Details
• Introduction to Data Science Modelling: Fundamentals of data science modelling, understanding data, and problem-statement formulation.
• Data Preprocessing and Cleaning: Techniques for data cleaning, preprocessing, and wrangling to prepare data for modelling.
• Statistical Analysis in Data Science: Basics of statistical analysis, probability distributions, and hypothesis testing.
• Machine Learning Fundamentals: Overview of machine learning, supervised and unsupervised learning, regression, and classification algorithms.
• Advanced Machine Learning Techniques: Deep dives into ensemble methods, dimensionality reduction, and advanced regression and classification techniques.
• Deep Learning and Neural Networks: Introduction to artificial neural networks, convolutional neural networks, and recurrent neural networks.
• Time Series Analysis and Forecasting: Techniques for time series analysis and forecasting, including ARIMA, exponential smoothing, and long short-term memory (LSTM) networks.
• Natural Language Processing (NLP): Fundamentals of NLP, text preprocessing, sentiment analysis, and topic modelling.
• Model Evaluation and Selection: Metrics for model evaluation, cross-validation, and model selection techniques.
• Ethics and Fairness in Data Science: Understanding ethical considerations, fairness, and bias in data science modelling.
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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