Master the fundamentals of programming & gain the knowledge needed to work efficiently with python
In this easy-to-understand, hands-on course, you’ll learn the most valuable Python Data Science basics and techniques. You’ll discover how to implement these methods using real data obtained from different sources and get familiar with packages like Numpy, Pandas, Matplotlib, and more. You’ll even understand deep concepts like statistical modeling in Python’s Statsmodels package and the difference between statistics and machine learning.
1,229 positive ratings from 6,976 students enrolled
Access 116 lectures & 12 hours of content 24/7
Get a full introduction to Python Data Science & Anaconda
Cover basic analysis tools like Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors, & Broadcasting
Explore data structures & reading in Pandas, including CSV, Excel, JSON, and HTML data
Pre-process & wrangle your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc.
Create data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts, & more
Discover how to create artificial neural networks & deep learning structures
“It is just what you need to learn when starting with data science” – Sagar FarkaleSpecsImportant Details
Length of time users can access this course: lifetime
Access options: web & mobile streaming
Certification of completion included
Redemption deadline: redeem your code within 30 days of purchase
Updates included
Experience level required: intermediate
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Requirements
Prior knowledge of Python will be useful but not required
Basic computer skills


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