Key Information |
Python Machine Learning Immersive |
Python for Data Science Immersive |
Data Science Certificate |
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$1,895
30 Hours
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$1,495
30 Hours
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$3,495
114 Hours
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Overview |
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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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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Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models. |
Prerequisite |
This course does require 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 Immersive before taking this course.
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Open to Beginners
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Open to Beginners
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Location |
29 E Madison, Chicago or Live Online
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29 E Madison, Chicago or Live Online
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29 E Madison, Chicago or Live Online
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Schedule |
Not currently scheduled
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Not currently scheduled
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Not currently scheduled
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Certification |
Receive a Certificate of Completion
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Receive a Certificate of Completion
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New York-licensed Certificate Program
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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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Courses Included (Certificates & packages only) |
N/A
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N/A
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Payment Plan See our payment plan FAQ for more details |
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This program is eligible for our “pay-as-you-go” payment plan.
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Financing
See our Climb Credit FAQ for more details
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Target Audience |
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Anyone
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What You’ll Learn |
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