Key Information |
Python for Data Science Bootcamp |
Python Machine Learning Bootcamp |
Python for Automation |
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$1,495
30 Hours
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$1,895
30 Hours
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$425
6 Hours
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Overview |
Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.
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Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
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Learn Python to extract data from websites. Along the way, you’ll learn how to write loops so that your web scraping code can process a large number of pages.
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Prerequisite |
Open to Beginners
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This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.
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Knowledge equivalent to our Intro to Python Programming or Python for Data Science Bootcamp courses.
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Location |
185 Madison Ave, NYC or Live Online
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185 Madison Ave, NYC or Live Online
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185 Madison Ave, NYC or Live Online
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Schedule |
Next start date: July 11–15, Monday to Friday, 10–5pm
Other scheduling options Weekdays, weeknights, or weekends View full schedule |
Next start date: July 25–August 1, Mondays, Tuesday, Wednesday, Friday, 10–5pm
Other scheduling options Weekdays, weeknights, or weekends View full schedule |
Next start date: July 16, Saturday, 10–5pm
Other scheduling options Weekends, weekdays, or weeknights View full schedule |
Certification |
Receive a Certificate of Completion
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Receive a Certificate of Completion
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Free Retake Within 1 Year
See our class policies for more details
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Workbook Included |
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Discounts
See our discounts policies for more details
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Payment Plan See our payment plan FAQ for more details |
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12-Month Financing
See our Climb Credit FAQ for more details
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Target Audience |
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What You’ll Learn |
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