Python is a powerful general-purpose programming language used for all sorts of data science applications ranging from Data Engineering, Data Analysis, Machine Learning to Model Deployment/Monitoring.
In this ‘Python for Data Science Fast-Track’, you will learn the A-Z of Python along with its popular data-centric libraries: Pandas, NumPy and Matplotlib.
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1. Python for Newbies
Learn the A-Z of Python as a new beginner (newbie) to the world of programming and become an expert Python programmer.
2. NumPy for Scientific Computation with Python
Learn to work with multi-dimensional arrays for scientific computation with Python.
3. Pandas for Data Manipulation with Python
Learn to work with pandas Series and DataFrames for data manipulation with Python.
4. Matplotlib for Data Visualization with Python
Learn the theory behind Convolutional Neural Networks and understand how to build one.
Fast-Track Extra Courses and Resources
Full-Stack Data Science Course – Become a Data Scientist
Master the four major areas of Data Science and become a Full Stack Data Scientist using Python.
Data Science for Sports – Sports Analytics
Deep dive into the world of sports analytics and visualization with Python.
Data Science for Business Analytics and Intelligence
Use Google Analytics data to discover ways to unlock valuable business insights.
Customer Analytics for Businesses: Crash Course
Gain the skills required to use customer data in order to extract information and curate strategies.
Data Science for E-commerce: Crash Course
Learn how data science can be used in the e-commerce industry through this complete crash course.
Recommender Systems for Beginners
Learn how to build intelligent Recommender Systems for businesses as a beginner.