Masterclass Certificate in Math for a Data-Rich Environment
-- ViewingNowThe Masterclass Certificate in Math for a Data-Rich Environment is a comprehensive course designed to empower learners with essential mathematical skills necessary for success in data-driven industries. This program is critical for professionals working with big data, as it bridges the gap between mathematical concepts and practical data analysis.
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โข Unit 1:
Linear Algebra Foundations - Vectors, Matrices, and Transformations.
โข Unit 2:
Probability and Statistics
- Descriptive Statistics, Probability Distributions, and Bayesian Probability.
โข Unit 3:
Statistical Inference and Hypothesis Testing
- Confidence Intervals, Hypothesis Testing, and p-values.
โข Unit 4:
Regression Analysis and Modeling
- Simple and Multiple Linear Regression, Model Selection, and Regularization.
โข Unit 5:
Time Series Analysis
- Autoregressive (AR), Moving Average (MA), and Autoregressive Integrated Moving Average (ARIMA) models.
โข Unit 6:
Data Mining and Machine Learning
- Supervised Learning, Unsupervised Learning, and Ensemble Methods.
โข Unit 7:
Dimensionality Reduction and Feature Selection
- Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Recursive Feature Elimination.
โข Unit 8:
Deep Learning and Neural Networks
- Multi-Layer Perceptrons (MLP), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).
โข Unit 9:
Optimization Techniques in Machine Learning
- Gradient Descent,
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