1. Product management (BA)

2. Data engineering and Database Management

3. Python Programming for Data Science

4. Practical Approach for Data Science with AL/ML

Overview of Data Science
Business problem understanding
Statistics for Data Science [need to be detailed]
Machine Learning overview and Techniques
Supervised Machine Learning
Algorithms - Linear Regression, Logistic Regression, Decision, Random forest, SVM
Unsupervised Machine Learning - clustering algorithms
AI and Data Science
ANN, RNN, CNN Overview
Deep learning overview

5. Machine Learning Model Deployment using DevOps

Full Stack Data Scientist Training & Certification

Training Calendar