Learn all the tools and topics required to be a data scientist. From learning programming fundamentals with Python to making Machine learning projects like price predictors and image classifiers are covered in this career track.
Take the first step into learning Data Science with Python by learning NumPy, a package that provides a way to process data tremendously faster than the built-in python options.
Pandas is one of the most popular Python libraries for Data Science. It gives you a variety of tools to do analysis of datasets.
Bring your analysis to life by learning to make visual illustrations with Matplotlib in Python in this course.
Learn the basics of Python in this course. Conditionals, functions, data structures, OOPs, and much more to learn.
Dive into the world of machine learning with this crash course that covers all the basics, from linear regression to Naive Bayes.