In the Python training path, you learn to program in Python and then use it as a language to analyze small and big data. The entire path has beed designed to help students with no prior computer science or programming experience to think computationally and write programs to tackle useful problems in data science domain. This learning path contains four courses:
The first course, Introduction to Python, is aimed at students new to the language who may or may not have experience with other programming languages. In this course you will learn the main concepts of Python programming. In Python for Data Analysis course, we assume you are already familiar with Python programming, so you will learn SciPy, Numpy, Pandas and matplotlib package in this course. In Machine learning with Python you learn how to use the Python language to implement and apply machine learning and statistics algorithms. Finally, in Spark programming with Python, you will learn to work with Big Data using Spark and Python API.
All of these courses are taught using Data Scientist Workbench, which is an open source environment that you can easily write your python programs to analyze your small datasets or big data with Spark.
An IBM community initiative, Big Data University is the world’s best education on big data. Learn about big data, data science and analytic technologies from experts using hands-on exercises and interactive videos. Best of all, it’s completely free.