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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.

  • All levels
  • 18 and older
  • $3,995
  • Interactive Online Classroom

Start Dates (6)

  • $3,995
  • Interactive Online Classroom
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  • Tue, Dec 10 at 6:00pm - 9:00pm
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  • Mon, Aug 12 at 10:00am - 5:00pm
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  • Fri, Sep 13 at 10:00am - 5:00pm
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  • Sat, Sep 07 at 10:00am - 5:00pm
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  • Sat, Jan 18 at 10:00am - 5:00pm
  • Sat, Jan 25 at 10:00am - 5:00pm
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Show all 19 sessions
  • Mon, Sep 30 at 10:00am - 5:00pm
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  • Wed, Oct 02 at 10:00am - 5:00pm
  • Mon, Oct 07 at 10:00am - 5:00pm
  • Tue, Oct 08 at 10:00am - 5:00pm
  • Wed, Oct 09 at 10:00am - 5:00pm
  • Thu, Oct 10 at 10:00am - 5:00pm
  • Fri, Oct 11 at 10:00am - 5:00pm
  • Mon, Oct 14 at 10:00am - 5:00pm
  • Tue, Oct 15 at 10:00am - 5:00pm
  • Wed, Oct 16 at 10:00am - 5:00pm
  • Fri, Oct 18 at 10:00am - 5:00pm
  • Mon, Oct 21 at 10:00am - 5:00pm
  • Tue, Oct 22 at 10:00am - 5:00pm
  • Wed, Oct 23 at 10:00am - 5:00pm
  • Fri, Oct 25 at 10:00am - 5:00pm
  • Mon, Oct 28 at 10:00am - 5:00pm
  • Tue, Oct 29 at 10:00am - 5:00pm
  • Wed, Oct 30 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.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Also available in-person in NYC

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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