Here is a list of data science programs and certifications that I have participated in. In these programs, I gained valuable technical expertise in building and evaluating Machine learning models.

Metis: a 12-week intensive data science boot camp in Seattle, Washington. I worked on 5 different machine learning projects from start to finish. Final results were presented to panel judges of data professionals.
Stanford Machine Learning Course by Andrew Ng: course covered fundamentals of machine learning such as Supervised and unsupervised learning. Worked on projects that addressed issues such as email classification, house pricing predictor, and recommendation systems.
Datacamp online data science career track: Covering over 100 hours and 26 courses on data science fundamentals that include data manipulation, data cleaning, and data visualization. Courses taken so far are
1. Introduction to Python
2. Intermediate Python
3. Python Data Science Toolbox
4. Introduction to importing data in python
5. Intermediate importing data in python
6. Cleaning data in python
7. Pandas foundation
8. Manipulating DataFrames with pandas
9. Merging DataFrames with pandas
10. Analyzing Police activity with pandas.
Udemy machine learning A-Z in Python and R: Extensive course covering machine learning fundamentals in python and R. Algorithm covers regression, classification, deep learning, apriori and reinforcement learning algorithms.