Thankfully we have 24 other Python Classes for you to choose from. Check our top choices below or see all classes for more options.
Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Prepare for an in-demand career in data science through this beginner-friendly program. Build expertise in Python programming, SQL querying, and machine learning to analyze and shape data. You'll work on real-world projects, build dynamic dashboards, and create predictive models, equipping you with the skills to land entry-level roles in data science and Python engineering.
Oct 24th
10am–5pm ET
Meets 18 Times
Oct 25th
10am–5pm ET
Meets 17 Times
Oct 26th
10am–5pm ET
Meets 18 Times
Oct 27th
6–9pm ET
Meets 36 Times
Nov 23rd
10am–5pm ET
Meets 18 Times
This class has 10 more dates.
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Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Tap into the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Step into Python fundamentals and learn how to create programs, work with data, visualize insights, and build machine learning models. Lift your data science skills with the Python for Data Science Bootcamp.
Nov 2nd
10am–5pm ET
Meets 5 Times
Nov 17th
6–9pm ET
Meets 10 Times
Nov 30th
10am–5pm ET
Meets 5 Times
Dec 13th
10am–5pm ET
Meets 5 Times
This class has 12 more dates.
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Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Step into the versatile and highly sought-after Python programming language in this comprehensive two-day course built to give you the skill to build software, analyze data, and design striking websites. Learn through hands-on exercises from day one, building a solid foundation for future moves into data science or web development.
Nov 2nd
10am–5pm ET
Meets 2 Times
Nov 17th
6–9pm ET
Meets 4 Times
Nov 30th
10am–5pm ET
Meets 2 Times
Dec 13th
10am–5pm ET
Meets 2 Times
This class has 12 more dates.
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Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Build the practical abilities needed to design machine learning algorithms that can independently learn patterns and make decisions, through this hands-on bootcamp. Develop the in-demand skill set powering most trading on Wall Street and the product recommendations at companies like Amazon, Spotify, and Netflix.
Nov 9th
10am–5pm ET
Meets 5 Times
Dec 7th
10am–5pm ET
Meets 5 Times
This class has 11 more dates.
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Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY
Master Python and earn certification through our hands-on Python Certification Program. Build real-world projects, analyze data, and prepare for the PCAP exam with expert-led courses, private tutoring, and a free elective to expand your skill.
Nov 2nd
10am–5pm ET
Meets 5 Times
Nov 17th
6–9pm ET
Meets 10 Times
Dec 13th
10am–5pm ET
Meets 5 Times
This class has 7 more dates.
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Tuition refunds are calculated in accordance with the Tuition Refund Policy for those students who officially drop a class or classes during the first three weeks of the semester. Fees are not refundable.
Tuition will be refunded 100 percent for those courses which, at any time, are cancelled by the College. Failure to attend class, merely giving notice to the instructor, or stopping payment on a check is not considered an official drop or withdrawal.
In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.
People who viewed this class also viewed the following classes
Data Science Certificate
$3,995 for 18 sessions
Python for Data Science Bootcamp
$1,495 for 5 sessions
Intro to Python Programming
$895 for 2 sessions
The Borough of Manhattan Community College's Center for Continuing Education and Workforce Development provides exceptional learning programs to New Yorkers. With a range of over 300 courses in traditional classroom, online, and corporate on-site training settings, BMCC offers flexibility and convenience for those looking to expand their credentials or explore new career opportunities.
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