Course Content
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Module 1 Foundations of Date Science: Data Visualization and Interpretation
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Module 2 Data Wrangling and Data Imputation
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Module 3 Predictive Analytics: Supervised Learning Algorithms
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Module 4 Advanced Analytics
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Module 5
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Module 6 Machine Learning Algorithms/AI
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Module 7
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Module 8
Part -3
Part-3: Basic Probability for Business Issues:
- Conditional probability (linked with decision Tress Algorithms)
- Bayes’ Theorem probability (linked with Naïve Bayes Algorithms)
- Discrete Distributions
- Binomial Distribution
- Poisson Distribution
- Continuous Distributions
- Normal Distribution and Properties
- Standardized Distributions