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Python Data Science & Machine Learning Bootcamp

Python Data Science & Machine Learning Bootcamp

Noble Desktop
4.6 383 reviews

Learn how to apply Python to analyze data, create predictive models using machine learning, and automate tasks in this comprehensive data science course. Gain the necessary programming skills to excel in entry-level data science and Python engineering positions.

  • Beginner
  • 18 and older
  • $3,495
  • Earn 10% Rewards
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  • 185 Madison Ave, New York, NY & Virtually Online
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Start Dates (6)

  • $3,495/person
Mon, Dec 23rd, 6–9pm EST
20 left
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Show all 32 sessions
  • Mon, Dec 23 at 6:00pm - 9:00pm
  • Mon, Dec 30 at 6:00pm - 9:00pm
  • Mon, Jan 06 at 6:00pm - 9:00pm
  • Wed, Jan 08 at 6:00pm - 9:00pm
  • Mon, Jan 13 at 6:00pm - 9:00pm
  • Wed, Jan 15 at 6:00pm - 9:00pm
  • Mon, Jan 20 at 6:00pm - 9:00pm
  • Wed, Jan 22 at 6:00pm - 9:00pm
  • Mon, Jan 27 at 6:00pm - 9:00pm
  • Wed, Jan 29 at 6:00pm - 9:00pm
  • Mon, Feb 03 at 6:00pm - 9:00pm
  • Wed, Feb 05 at 6:00pm - 9:00pm
  • Mon, Feb 10 at 6:00pm - 9:00pm
  • Wed, Feb 12 at 6:00pm - 9:00pm
  • Mon, Feb 17 at 6:00pm - 9:00pm
  • Wed, Feb 19 at 6:00pm - 9:00pm
  • Mon, Feb 24 at 6:00pm - 9:00pm
  • Wed, Feb 26 at 6:00pm - 9:00pm
  • Mon, Mar 03 at 6:00pm - 9:00pm
  • Wed, Mar 05 at 6:00pm - 9:00pm
  • Mon, Mar 10 at 6:00pm - 9:00pm
  • Wed, Mar 12 at 6:00pm - 9:00pm
  • Mon, Mar 17 at 6:00pm - 9:00pm
  • Wed, Mar 19 at 6:00pm - 9:00pm
  • Mon, Mar 24 at 6:00pm - 9:00pm
  • Wed, Mar 26 at 6:00pm - 9:00pm
  • Mon, Mar 31 at 6:00pm - 9:00pm
  • Wed, Apr 02 at 6:00pm - 9:00pm
  • Mon, Apr 07 at 6:00pm - 9:00pm
  • Wed, Apr 09 at 6:00pm - 9:00pm
  • Mon, Apr 14 at 6:00pm - 9:00pm
  • Wed, Apr 16 at 6:00pm - 9:00pm
Mon, Jan 27th, 10am–5pm EST
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Show all 15 sessions
  • Mon, Jan 27 at 10:00am - 5:00pm
  • Tue, Jan 28 at 10:00am - 5:00pm
  • Wed, Jan 29 at 10:00am - 5:00pm
  • Thu, Jan 30 at 10:00am - 5:00pm
  • Fri, Jan 31 at 10:00am - 5:00pm
  • Mon, Feb 03 at 10:00am - 5:00pm
  • Tue, Feb 04 at 10:00am - 5:00pm
  • Wed, Feb 05 at 10:00am - 5:00pm
  • Thu, Feb 06 at 10:00am - 5:00pm
  • Fri, Feb 07 at 10:00am - 5:00pm
  • Mon, Feb 10 at 10:00am - 5:00pm
  • Tue, Feb 11 at 10:00am - 5:00pm
  • Wed, Feb 12 at 10:00am - 5:00pm
  • Thu, Feb 13 at 10:00am - 5:00pm
  • Fri, Feb 14 at 10:00am - 5:00pm
Mon, Mar 17th, 10am–5pm EST
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Show all 15 sessions
  • Mon, Mar 17 at 10:00am - 5:00pm
  • Tue, Mar 18 at 10:00am - 5:00pm
  • Wed, Mar 19 at 10:00am - 5:00pm
  • Thu, Mar 20 at 10:00am - 5:00pm
  • Fri, Mar 21 at 10:00am - 5:00pm
  • Mon, Mar 24 at 10:00am - 5:00pm
  • Tue, Mar 25 at 10:00am - 5:00pm
  • Wed, Mar 26 at 10:00am - 5:00pm
  • Thu, Mar 27 at 10:00am - 5:00pm
  • Fri, Mar 28 at 10:00am - 5:00pm
  • Mon, Mar 31 at 10:00am - 5:00pm
  • Tue, Apr 01 at 10:00am - 5:00pm
  • Wed, Apr 02 at 10:00am - 5:00pm
  • Thu, Apr 03 at 10:00am - 5:00pm
  • Fri, Apr 04 at 10:00am - 5:00pm
Sat, Mar 29th, 10am–5pm EST
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Show all 16 sessions
  • Sat, Mar 29 at 10:00am - 5:00pm
  • Sat, Apr 05 at 10:00am - 5:00pm
  • Sat, Apr 19 at 10:00am - 5:00pm
  • Sat, Apr 26 at 10:00am - 5:00pm
  • Sat, May 03 at 10:00am - 5:00pm
  • Sat, May 10 at 10:00am - 5:00pm
  • Sat, May 17 at 10:00am - 5:00pm
  • Sat, May 31 at 10:00am - 5:00pm
  • Sat, Jun 07 at 10:00am - 5:00pm
  • Sat, Jun 14 at 10:00am - 5:00pm
  • Sat, Jun 21 at 10:00am - 5:00pm
  • Sat, Jun 28 at 10:00am - 5:00pm
  • Sat, Jul 12 at 10:00am - 5:00pm
  • Sat, Jul 19 at 10:00am - 5:00pm
  • Sat, Jul 26 at 10:00am - 5:00pm
  • Sat, Aug 02 at 10:00am - 5:00pm
Wed, Apr 16th, 6–9pm EST
20 left
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Show all 32 sessions
  • Wed, Apr 16 at 6:00pm - 9:00pm
  • Mon, Apr 21 at 6:00pm - 9:00pm
  • Wed, Apr 23 at 6:00pm - 9:00pm
  • Mon, Apr 28 at 6:00pm - 9:00pm
  • Wed, Apr 30 at 6:00pm - 9:00pm
  • Mon, May 05 at 6:00pm - 9:00pm
  • Wed, May 07 at 6:00pm - 9:00pm
  • Mon, May 12 at 6:00pm - 9:00pm
  • Wed, May 14 at 6:00pm - 9:00pm
  • Mon, May 19 at 6:00pm - 9:00pm
  • Wed, May 21 at 6:00pm - 9:00pm
  • Mon, May 26 at 6:00pm - 9:00pm
  • Wed, May 28 at 6:00pm - 9:00pm
  • Mon, Jun 02 at 6:00pm - 9:00pm
  • Wed, Jun 04 at 6:00pm - 9:00pm
  • Mon, Jun 09 at 6:00pm - 9:00pm
  • Wed, Jun 11 at 6:00pm - 9:00pm
  • Mon, Jun 16 at 6:00pm - 9:00pm
  • Wed, Jun 18 at 6:00pm - 9:00pm
  • Mon, Jun 23 at 6:00pm - 9:00pm
  • Wed, Jun 25 at 6:00pm - 9:00pm
  • Mon, Jun 30 at 6:00pm - 9:00pm
  • Wed, Jul 02 at 6:00pm - 9:00pm
  • Mon, Jul 07 at 6:00pm - 9:00pm
  • Wed, Jul 09 at 6:00pm - 9:00pm
  • Mon, Jul 14 at 6:00pm - 9:00pm
  • Wed, Jul 16 at 6:00pm - 9:00pm
  • Mon, Jul 21 at 6:00pm - 9:00pm
  • Wed, Jul 23 at 6:00pm - 9:00pm
  • Mon, Jul 28 at 6:00pm - 9:00pm
  • Wed, Jul 30 at 6:00pm - 9:00pm
  • Mon, Aug 04 at 6:00pm - 9:00pm
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Class Description

Description Cancellation Policy

Description

What you'll learn in this python class:

Learn how to apply Python to data science, machine learning, data visualization, and automation. In this program, you will learn the necessary programming skills to manipulate databases and perform various levels of analysis on the data. You'll finish the program prepared to apply for entry-level data science and Python engineering positions.

Dive into Machine Learning & Automation

You'll begin by learning Python programming fundamentals and using Numpy, Pandas, and Matplotlib to analyze data. After learning Python and its three main data science libraries, you will create predictive models from the data using machine learning packages such as Sci-Kit Learn. You will also use Python to automate everyday tasks such as aggregating, updating, and formatting data.

Create Dashboards & Visualizations with Real-Life Data

In the final unit, you will use Matplotlib, Seaborn, Plotly, and Dash Enterprise to create data visualizations and interactive dashboards that you can deploy to GitHub, where they will be easily accessible for potential employers to review.

Learn more about Python Data Science & Machine Learning Bootcamp at Noble Desktop.

Refund Policy

  • Students may cancel up to 14 days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price). 
  • Cancellations within 14 days are not permitted, but students may reschedule up to three business days before the class start date.
  • For cancellations and reschedules, please email us at [email protected]

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.

Reviews of Classes at Noble Desktop (383)

(4.6-star rating across 383 reviews)
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Noble Desktop

Noble Desktop is a renowned educational institution that specializes in providing comprehensive training in various creative and technology-related fields. Established in 1990 and headquartered in New York City, Noble Desktop has earned a stellar reputation for its high-quality courses and innovative...

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Noble Desktop

Noble Desktop
Midtown, Manhattan
185 Madison Ave 3rd Floor
At E 34th St
New York, New York 10016

All classes at this location

We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.

Also available virtually online

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