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Data Science Certificate

Learn the necessary programming skills to analyze and manipulate databases in this certificate program. Gain knowledge in Python and data science libraries such as Numpy, Pandas, and Matplotlib. Prepare for entry-level positions in data science and Python engineering.

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  • 18 and older
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  • $3,995/person
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  • Wed, Nov 13 at 6:00pm - 9:00pm
  • Mon, Nov 18 at 6:00pm - 9:00pm
  • Wed, Nov 20 at 6:00pm - 9:00pm
  • Mon, Nov 25 at 6:00pm - 9:00pm
  • Mon, Dec 02 at 6:00pm - 9:00pm
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  • Mon, Jan 06 at 6:00pm - 9:00pm
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  • Wed, Feb 05 at 6:00pm - 9:00pm
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  • 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
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  • Wed, Dec 04 at 10:00am - 5:00pm
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  • Fri, Dec 06 at 10:00am - 5:00pm
  • Mon, Dec 09 at 10:00am - 5:00pm
  • Tue, Dec 10 at 10:00am - 5:00pm
  • Wed, Dec 11 at 10:00am - 5:00pm
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  • Fri, Dec 13 at 10:00am - 5:00pm
  • Mon, Dec 16 at 10:00am - 5:00pm
  • Tue, Dec 17 at 10:00am - 5:00pm
  • Wed, Dec 18 at 10:00am - 5:00pm
  • Thu, Dec 19 at 10:00am - 5:00pm
  • Fri, Dec 20 at 10:00am - 5:00pm
  • Mon, Dec 23 at 10:00am - 5:00pm
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  • Fri, Dec 27 at 10:00am - 5:00pm
  • Mon, Dec 30 at 10:00am - 5:00pm
  • Thu, Jan 02 at 10:00am - 5:00pm
  • Fri, Jan 03 at 10:00am - 5:00pm
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  • Tue, Jan 21 at 10:00am - 5:00pm
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  • Thu, Jan 23 at 10:00am - 5:00pm
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  • Mon, Feb 03 at 10:00am - 5:00pm
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  • 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
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  • Sat, Mar 08 at 10:00am - 5:00pm
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  • Sat, Mar 22 at 10:00am - 5:00pm
  • 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
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  • Mon, Mar 10 at 10:00am - 5:00pm
  • Tue, Mar 11 at 10:00am - 5:00pm
  • Wed, Mar 12 at 10:00am - 5:00pm
  • 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
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Class Description

Description

What you'll learn in this data science course:

In this certificate, students learn necessary programming skills to manipulate databases and perform various levels of analysis on the data. This program prepares students for entry-level data science and Python engineering positions.

Master Programming Fundamentals

Learn Python programming fundamentals and how to use Numpy, Pandas, and Matplotlib to analyze data. Discover the three main data science libraries, and learn how to create predictive models from the data using machine learning packages such as Sci-Kit Learn.

Read and Write Complex Queries

Interpreting and creating queries are essential skills for data scientists. Students learn to prepare and clean data for Python analysis.

Automate Tasks

Use Python to automate everyday tasks such as aggregating, updating, and formatting data.

What You’ll Learn:

  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression 
  • Applying Machine learning algorithms to the data
  • Cleaning and balancing data in Pandas
  • Evaluating the performance of machine learning models
  • Combine information across tables with join statements
  • Advanced techniques such as subqueries and stored procedures 
  • Learn how to write programs in Python to automate everyday tasks 

Courses in the Certificate Program

Python for Data Science Immersive:

  • Programming foundations including objects, loops, and functions
  • The object-oriented programming paradigm
  • How to work with different types of data such as strings, lists, and integers
  • Selectively alter the control flow of your programming with conditional statements 
  • Analyze tabular data using Python libraries NumPy and Pandas
  • Create data visualizations with Matplotlib
  • Predict outcomes using linear regression with Scikit-Learn

Python Machine Learning Immersive:

  • How to clean and balance your data using the Pandas library
  • Applying machine learning algorithms such as logistic regression and random forest using the scikit-learn library
  • Choosing good features to use as input for your algorithms
  • Properly splitting data into training, test and cross-validation sets
  • Important theoretical concepts like overfitting, variance and bias
  • Evaluating the performance of your machine learning models

Python for Automation:

  • Learn the syntax of Python and how to construct programs
  • Learn how to run your programs on a regular schedule
  • How to handle errors

SQL Bootcamp:

  • Explore and alter data using a graphical user interface
  • Write queries to search through tables programmatically
  • Understand various data types and convert between them
  • Combine information across tables with join statements
  • Advanced techniques like subqueries and timestamp functions
  • Translate business questions to SQL logic

Learn more about Data Science Certificate at Practical Programming.

Refund Policy

To reschedule or cancel, email us at [email protected]

All courses include a non-refundable registration fee (10% of the undiscounted course price).

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
  • Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.

Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.

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Practical Programming

Practical Programming classes and workshops for everyone who wants to learn how to code from scratch or practice Python. You will learn how to start using Python, problem solving with algorithms and make dynamic web applications.

No coding experience needed, anyone who would like to learn how to code...

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Practical Programming

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