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AI & DATA SCIENTIST

ROADMAP

1. MATHEMATICS

Mathematics for Machine Learning

Mathematics for Machine Learning

Linear Algebra & Differential Calculus for Data Science

Linear Algebra & Differential Calculus for Data Science
2. STATISTICS

Introduction to Statistics

Introduction to Statistics

Hypothesis Testing

Hypothesis Testing

Probability & Statistics

Probability & Statistics
3. ECONOMETRICS

Regression, Time Series, Fitting Distributions

Regression, Time Series, Fitting Distributions

Linear Regression

Linear Regression
4. CODING

Python Programming Language

Python Programming Language

Data Structures & Algorithms

Data Structures & Algorithms

SQL Database

SQL Database
5. EXPLORATORY DATA ANALYSIS

Data Understanding, Data Analysis, Visualization

Data Understanding, Data Analysis, Visualization
6. MACHINE LEARNING

Classic ML (Supervised & Unsupervised), Advanced ML (Ensembles, NNs)

Classic ML (Supervised & Unsupervised), Advanced ML (Ensembles, NNs)
7. DEEP LEARNING

Fully Connected NN, CNN, RNN, LSTM, Transformers, Transfer Learning

Fully Connected NN, CNN, RNN, LSTM, Transformers, Transfer Learning
8. MLOps

Deployment Models, CI/CD

Deployment Models, CI/CD
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