Experienced Data Scientist, IBM data science certificate holder and Professional Engineer with a passion for generating insight from data to solve business problems. Skilled in Mathematical Optimization Modeling, Machine Learning, Big Data analysis, Convex and non-convex
Optimization and Control, Research and Development (R&D), Hardware Implementation and parallel numerical computing
techniques for mathematical optimization.
Here are the topics:
0. What is Data Science?
1. Introduction to Python Programming
2. Mathematics of Data Science ( Linear Algebra, Statistics, and Calculus) all in Python
3. How to approach data science problems
4. Data Exploratory Analysis with python (Pandas and Numpy Packages)
5. Data Visualization with Python (Matplotlib and Seaborn Packages)
6. Machine Learning with Python (Scikit Learn Package)
7. Introduction to deep learning in Python
8. Natural Language Processing in Python
and Much more