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Data Science Certificate

Build expertise in data manipulation, analysis, and machine learning using Python through this comprehensive program. Launch your career in the growing field of data science.

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  • 18 and older
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  • 185 Madison Ave, New York, NY & Virtually Online

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Start Dates (14) $3,995/person

Show all 19 sessions
  • Mon, Oct 26 at 10:00am - 5:00pm
  • Tue, Oct 27 at 10:00am - 5:00pm
  • Wed, Oct 28 at 10:00am - 5:00pm
  • Mon, Nov 02 at 10:00am - 5:00pm
  • Tue, Nov 03 at 10:00am - 5:00pm
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  • Mon, Nov 09 at 10:00am - 5:00pm
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  • Mon, Nov 16 at 10:00am - 5:00pm
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  • Thu, Nov 19 at 10:00am - 5:00pm
  • Fri, Nov 20 at 10:00am - 5:00pm
  • Mon, Nov 23 at 10:00am - 5:00pm
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Show all 36 sessions
  • Tue, Oct 27 at 6:00pm - 9:00pm
  • Thu, Oct 29 at 6:00pm - 9:00pm
  • Tue, Nov 03 at 6:00pm - 9:00pm
  • Thu, Nov 05 at 6:00pm - 9:00pm
  • Tue, Nov 10 at 6:00pm - 9:00pm
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  • Tue, Dec 01 at 6:00pm - 9:00pm
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  • Tue, Dec 08 at 6:00pm - 9:00pm
  • Thu, Dec 10 at 6:00pm - 9:00pm
  • Tue, Dec 15 at 6:00pm - 9:00pm
  • Thu, Dec 17 at 6:00pm - 9:00pm
  • Tue, Dec 22 at 6:00pm - 9:00pm
  • Tue, Dec 29 at 6:00pm - 9:00pm
  • Tue, Jan 05 at 6:00pm - 9:00pm
  • Thu, Jan 07 at 6:00pm - 9:00pm
  • Tue, Jan 12 at 6:00pm - 9:00pm
  • Thu, Jan 14 at 6:00pm - 9:00pm
  • Tue, Jan 19 at 6:00pm - 9:00pm
  • Thu, Jan 21 at 6:00pm - 9:00pm
  • Tue, Jan 26 at 6:00pm - 9:00pm
  • Thu, Jan 28 at 6:00pm - 9:00pm
  • Tue, Feb 02 at 6:00pm - 9:00pm
  • Thu, Feb 04 at 6:00pm - 9:00pm
  • Tue, Feb 09 at 6:00pm - 9:00pm
  • Thu, Feb 11 at 6:00pm - 9:00pm
  • Tue, Feb 16 at 6:00pm - 9:00pm
  • Thu, Feb 18 at 6:00pm - 9:00pm
  • Tue, Feb 23 at 6:00pm - 9:00pm
  • Thu, Feb 25 at 6:00pm - 9:00pm
  • Tue, Mar 02 at 6:00pm - 9:00pm
  • Thu, Mar 04 at 6:00pm - 9:00pm
  • Tue, Mar 09 at 6:00pm - 9:00pm
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Show all 18 sessions
  • Sun, Nov 15 at 10:00am - 5:00pm
  • Sun, Nov 22 at 10:00am - 5:00pm
  • Sun, Dec 06 at 10:00am - 5:00pm
  • Sun, Dec 13 at 10:00am - 5:00pm
  • Sun, Dec 20 at 10:00am - 5:00pm
  • Sun, Dec 27 at 10:00am - 5:00pm
  • Sun, Jan 03 at 10:00am - 5:00pm
  • Sun, Jan 10 at 10:00am - 5:00pm
  • Sun, Jan 17 at 10:00am - 5:00pm
  • Sun, Jan 24 at 10:00am - 5:00pm
  • Sun, Jan 31 at 10:00am - 5:00pm
  • Sun, Feb 07 at 10:00am - 5:00pm
  • Sun, Feb 21 at 10:00am - 5:00pm
  • Sun, Feb 28 at 10:00am - 5:00pm
  • Sun, Mar 07 at 10:00am - 5:00pm
  • Sun, Mar 14 at 10:00am - 5:00pm
  • Sun, Mar 21 at 10:00am - 5:00pm
  • Sun, Mar 28 at 10:00am - 5:00pm
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Show all 19 sessions
  • Mon, Nov 23 at 10:00am - 5:00pm
  • Tue, Nov 24 at 10:00am - 5:00pm
  • Wed, Nov 25 at 10:00am - 5:00pm
  • Mon, Nov 30 at 10:00am - 5:00pm
  • Tue, Dec 01 at 10:00am - 5:00pm
  • Wed, Dec 02 at 10:00am - 5:00pm
  • Thu, Dec 03 at 10:00am - 5:00pm
  • Fri, Dec 04 at 10:00am - 5:00pm
  • Mon, Dec 07 at 10:00am - 5:00pm
  • Tue, Dec 08 at 10:00am - 5:00pm
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  • Tue, Dec 15 at 10:00am - 5:00pm
  • Wed, Dec 16 at 10:00am - 5:00pm
  • Thu, Dec 17 at 10:00am - 5:00pm
  • Fri, Dec 18 at 10:00am - 5:00pm
  • Mon, Dec 21 at 10:00am - 5:00pm
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Show all 18 sessions
  • Tue, Jan 19 at 10:00am - 5:00pm
  • Wed, Jan 20 at 10:00am - 5:00pm
  • Thu, Jan 21 at 10:00am - 5:00pm
  • Mon, Jan 25 at 10:00am - 5:00pm
  • Tue, Jan 26 at 10:00am - 5:00pm
  • Wed, Jan 27 at 10:00am - 5:00pm
  • Thu, Jan 28 at 10:00am - 5:00pm
  • Fri, Jan 29 at 10:00am - 5:00pm
  • Mon, Feb 01 at 10:00am - 5:00pm
  • Tue, Feb 02 at 10:00am - 5:00pm
  • Wed, Feb 03 at 10:00am - 5:00pm
  • Thu, Feb 04 at 10:00am - 5:00pm
  • Fri, Feb 05 at 10:00am - 5:00pm
  • Mon, Feb 08 at 10:00am - 5:00pm
  • Tue, Feb 09 at 10:00am - 5:00pm
  • Wed, Feb 10 at 10:00am - 5:00pm
  • Thu, Feb 11 at 10:00am - 5:00pm
  • Fri, Feb 12 at 10:00am - 5:00pm
20 left
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Class Description

Description

Develop proficiency in database manipulation and data analysis through this accessible program designed for learners new to the field, positioning you for entry-level opportunities in data science and Python software engineering. Career opportunities in data science consistently rank among today's most lucrative and fastest-growing professional paths.

Learn Programming Fundamentals

Master the core concepts of Python programming and proficiency with its primary data science libraries essential for analytical work. You'll develop capabilities in writing and interpreting complex database queries, preparing and refining data for meaningful analysis, and leveraging Python's automation capabilities to streamline repetitive tasks including data aggregation, modification, and formatting operations.

Create Machine Learning Models

Utilize datasets to develop machine learning models and evaluate their predictive effectiveness and accuracy. You'll master data cleaning and balancing techniques using Pandas, implement machine learning algorithms through the Scikit-learn library to solve practical business challenges, and interpret findings to discover opportunities for model improvement and enhancement.

Make Dashboards and Visualizations

Design and present dynamic dashboards and diverse data visualization outputs. Become proficient in utilizing Python's major visualization platforms including Matplotlib, Seaborn, Plotly, and Dash Enterprise. Deploy your analytical projects online using Github to provide employers with concrete evidence of your data science competencies and technical abilities.

Prepare You for a Career in Data

This certificate program establishes your foundation for entering the data science industry. Throughout the program you will:

  • Acquire the programming languages and specialized libraries employed by data science professionals
  • Undertake authentic projects suitable for your professional portfolio, demonstrating capabilities to prospective employers
  • Benefit from one-on-one mentoring with seasoned Data Scientists who provide job search guidance, resume development support, and portfolio enhancement strategies

Learn more about the Data Science & AI Certificate at NYC Career Centers.

Refund Policy

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price).
  • Cancellations within 11 business days are not permitted, but students may reschedule up to 4 business days before the class start date.

For cancellations and reschedules, please email us at [email protected]

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