Professional Certificate in Modelling for Data Science Development
-- ViewingNowThe 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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⢠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.
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