Python for Data Science (45 Hrs.)
Data science is a field that is at the intersection of many fields, including data mining, machine learning, and statistics, to name a few. This puts an immense burden on all levels of data scientists; from the one who is aspiring to become a data scientist and those who are currently practitioners in this field. Treating these algorithms as a black box and using them in decision-making systems will lead to counterproductive results. With tons of algorithms and innumerable problems out there, it requires a good grasp of the underlying algorithms in order to choose the best one for any given problem.
This course is intended for all levels of data science professionals, both students and practitioners from novice to experts.
- Novice attendees can spend some time in getting themselves acquainted with data science using Python in the first five sessions.
- Experts will enjoy advanced techniques during the rest sessions.
The course covers just enough mathematics and provides the necessary references for you to understand data science.
People from a non Python background can effectively attend this course.
The course will cover the following Python Data Science areas in 45 hours (15 sessions ):
- Python Environments
- Data Analysis
- Data Mining
- Machine Learning
- Ensemble Methods
- Growing Trees
- Online Learning