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.
Learn the A-Z of Python as a new beginner (newbie) to the world of programming and become an expert Python programmer.
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Learn to work with multi-dimensional arrays for scientific computation with Python.
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Learn to work with pandas Series and DataFrames for data manipulation with Python.
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Learn the theory behind Convolutional Neural Networks and understand how to build one.
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Work on a real-life dataset and perform Exploratory Data Analysis (EDA) in practise.
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Master the four major areas of Data Science and become a Full Stack Data Scientist using Python.
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Deep dive into the world of sports analytics and visualization with Python.
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Use Google Analytics data to discover ways to unlock valuable business insights.
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Gain the skills required to use customer data in order to extract information and curate strategies.
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Learn how data science can be used in the e-commerce industry through this complete crash course.
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Learn how to build intelligent Recommender Systems for businesses as a beginner.
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