Data Science with Python

Python is at the top of all other languages and is the most popular language used by data scientists. It is the preferred programming language for data scientists because it is very intuitive and easy to understand and has fast development time. Data science developers in Python can use a lot of efficient, open-source and ready to use packages. There are also excellent interactive shells, notebooks, frameworks and IDEs for this topic Data science is becoming more and more popular with the advent of Machine Learning that based on Data-Science development In this course concentrated workshop we will start by introduction of Anaconda and jupyter notebook, continue with numpy arrays creation, access and manipulation, while emphasizing performance efficiency and memory management. We will continue with deep dive into the Pandas and its unique data structures, their Index preserving operations, broadcasting, combining datasets and aggregations. We will use matplotlib module for data visualizations.

This course is intended for Python programmers and Project leads, Matlab programmers and data scientists with python background who want improve their data analysis process and data visualization