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 the Basics

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.

Still Have Questions?

Want to discuss this class further? Email the program director zach@nobledesktop.com directly and find out if this is the right program for you.

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

This is the recommended order, but some courses may be taken in a different order. See the FAQ for more details.

Unit 1
30 Hours

Python for Data Science Bootcamp
- Handle different types of data, such as integers, floats, and strings
- Control the flow of your programs with conditional statements, loops, and functions
- Reuse and simplify code with object-oriented programming
- Analyze tabular data with Numpy and Pandas
- Create graphs and visualizations with Matplotlib
- Make predictions with linear regression, using scikit-learn
Unit 2
18 Hours

Python Machine Learning Bootcamp
- 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
Unit 3
18 Hours

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
Unit 4
6 Hours

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

High-level Overview

Schedule & Enrollment

$4190 $3195
72 Hours
185 Madison Ave, NYC or live online
Computer Provided

Discounts
Discounts
- Certificate Discount: This program is a discounted package of classes that is 15–25% off the individual class prices. Other discounts do not apply.
Discounts are applied at checkout (no promo code required) and will be verified after you place your order. Discounts are subject to change. Read our discount policies for more details.

Payment Plans

This program is eligible for our payment plan. Select “payment plan” at checkout to enroll. A valid credit card must be on file for the duration of the program.
- At checkout, you will only be charged a $250 non-refundable deposit which will be credited towards the last class in the program.
- One week before the start date of each class in the program, you will be charged for that upcoming class.
- You may be charged immediately for the first class if you sign up less than one week before the start date.
- The total payments (including the $250 deposit) will equal the price of the program. There is no interest or additional fees.
- Read our Payment Plan FAQ for more details.
• Policies

Feb 25–May 21 Weeknights

Collapse Schedule

Feb 25–Mar 26	Tue & Thu	6–9pm	Python for Data Science Bootcamp
Mar 31–Apr 16	Tue & Thu	6–9pm	Python Machine Learning Bootcamp
Apr 28–May 14	Tue & Thu	6–9pm	SQL Bootcamp
May 19–21	Tue & Thu	6–9pm	Python for Automation

Jun 1–17 Weekdays

Expand Schedule

Jun 1–5	Mon–Fri	10am–5pm	Python for Data Science Bootcamp
Jun 8–10	Mon–Wed	10am–5pm	Python Machine Learning Bootcamp
Jun 11	Thursday	10am–5pm	Python for Automation
Jun 15–17	Mon–Wed	10am–5pm	SQL Bootcamp

Jul 7–Oct 1 Weeknights

Expand Schedule

Jul 7–Aug 6	Tue & Thu	6–9pm	Python for Data Science Bootcamp
Aug 11–27	Tue & Thu	6–9pm	Python Machine Learning Bootcamp
Sep 8–24	Tue & Thu	6–9pm	SQL Bootcamp
Sep 29–Oct 1	Tue & Thu	6–9pm	Python for Automation

Oct 12–28 Weekdays

Expand Schedule

Oct 12–16	Mon–Fri	10am–5pm	Python for Data Science Bootcamp
Oct 19–21	Mon–Wed	10am–5pm	Python Machine Learning Bootcamp
Oct 22	Thursday	10am–5pm	Python for Automation
Oct 26–28	Mon–Wed	10am–5pm	SQL Bootcamp

These dates don’t work for you?

Frequently Asked Questions

Do I need to come in with any prior math or programming knowledge?

No. Prior math or programming experience is not required for this course.
How is this certificate structured?
The certificate is comprised of four classes that teach you four different but complementary skills:
1. In the Python for Data Science class you learn Python (the programming language) and how to use it to import, analyze, visualize data.
2. The Python for Machine Learning class is a second level Python class that teaches students how to use Python to predict and forecast from data they have previously analyzed using regression and other statistical techniques.
3. In Python for Automation you learn how to use Python to automate everyday tasks using Python and Beautifulsoup.
4. Lastly, as a data scientist, it is imperative that you know SQL in addition to Python. In our SQL Bootcamp, you’ll learn how to work with databases and how to manipulate data in between them.
With all of these classes, students will fill all the pre-requisites needed for an entry-level data scientist position.
How many students are in a class?

Noble’s typical class ranges from 8–12 students, but we accept up to 20 students.
How does this certificate prepare me for the job market?

The classes will prepare students with all the skills necessary for an entry-level position in data science. Most entry-level jobs are looking for three core technical skills: Python proficiency, SQL proficiency, and proficiencies in Python data science libraries. All of these skills will be taught throughout the classes in the certificate.
Why is SQL included in the data science certificate?

SQL is a necessary skill because as a data scientist one must feel comfortable being able to explore a database and how to modify data within it. Our SQL bootcamp will cover all of the necessary topics a programmer in SQL must know. The class will cover everything from basic database terminology to advanced querying techniques so that you are confident using SQL in your workplace or on your resume.
Is there mandatory work outside of the classroom?

Students are not required to complete any work outside of class. However, we provide students with bonus materials if they would like extra practice.
What tangible skills do students leave with after the certificate?

Students will leave with proficiencies in both Python and SQL. Additionally, students will be proficient in various Python libraries such as NumPy, Pandas, Matplotlib, BeautifulSoup, and Sci-Kit learn. These libraries will allow students to automate data collection, perform analysis on the data, graph the data, and use this data to create predictive models. In the SQL class, students will learn how to explore, modify and export data from a database and students will also be introduced to foundational concepts like tables, data types, and queries.
What happens if I need to miss a session?
You have some options:
- If you can’t come into the classroom, but can still attend remotely (live online using a screen sharing app), please let us know ahead of time so we can get you information to attend online.
- You can make up that session in a future offering of the class, provided that the class is running with an available seat.
- You may be able to go through some exercises for that session. Ask your instructor about what you’ll be missing.
Do you offer discounts or a payment plan for this course?
Discounts
- Certificate Discount: This program is a discounted package of classes that is 15–25% off the individual class prices. Other discounts do not apply.
Discounts are applied at checkout (no promo code required) and will be verified after you place your order. Discounts are subject to change. Read our discount policies for more details.

Payment Plan

This program is eligible for our payment plan. Select “payment plan” at checkout to enroll. A valid credit card must be on file for the duration of the program.
- At checkout, you will only be charged a $250 non-refundable deposit which will be credited towards the last class in the program.
- One week before the start date of each class in the program, you will be charged for that upcoming class.
- You may be charged immediately for the first class if you sign up less than one week before the start date.
- The total payments (including the $250 deposit) will equal the price of the program. There is no interest or additional fees.
- Read our Payment Plan FAQ for more details.
Can I take this course online (remote learning)?
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).

How does attending “live online” work?
- Students can attend this training remotely through screen sharing software (we use Zoom).
- Participants can hear the instruction, ask questions, and even share their screen with the instructor.
- For audio you can use your computer’s microphone/speakers or call a phone number that we’ll provide.
- Classes are activity-based and taught by a live instructor, so we strongly encourage students who are local to the area to attend in person!

NYC's Premier Part-Time Data Science Bootcamp

Rob joins Noble Desktop after years of experience in the FinTech industry, where he worked on data analytics tools for banks and credit unions. Most recently, he was a senior developer on a targeted marketing tool which won an industry-wide innovation award and is now used by over 80 institutions. Rob holds a B.A. in Mathematics from Wesleyan University and a M.Sc. in Mathematical Logic from the Universiteit van Amsterdam.

Expand Your Skills with Data

Students learn to use Python as a powerful tool for data analysis. Our expert instructor walks you through how to combine and query on thousands of rows of data, pulled from an array of sources such as Excel files, CSVs, and APIs.

Hands-on Python Training

Dive into coding within the first 10 minutes of training. After watching a professional demo, students work through hands-on exercises like cleaning a data set, creating graphs, and analyzing stock market data.

Highly Reviewed by Our Alumni

From our hands-on training style to world-class instructors and proprietary curriculum, we deliver a learning experience our alumni can be proud of.

Having no prior knowledge or experience in computer/data science, I feel as though this course prepared me well in order to use and apply Python through a thorough, yet understandable curriculum.

Gabriel Kerstein

A complex subject, clearly broken out into simple steps.

James Siwicki

The Python for Data Science course was a mix of theory and hands on application. Probably the best value class out there.

Lorela Blaka

Course content was more than adequate and very applicable to Data Science and analysis. Learned a lot of takeaways that I will apply at work.

Melissa Manganaan

Master the Basics

Read and Write Complex Queries

Automate Tasks

Still Have Questions?

What You’ll Learn

Courses in the Certificate Program

Python for Data Science Bootcamp

Python Machine Learning Bootcamp

SQL Bootcamp

Python for Automation

Data Science Certificate Overview

Python for Data Science Bootcamp

Handle different types of data, such as integers, floats, and strings

Control the flow of your programs with conditional statements, loops, and functions

Reuse and simplify code with object-oriented programming

Analyze tabular data with Numpy and Pandas

Create graphs and visualizations with Matplotlib

Make predictions with linear regression, using scikit-learn

Python Machine Learning Bootcamp

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

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

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

Schedule & Enrollment

Discounts

Payment Plans

Feb 25–May 21 Weeknights

Jun 1–17 Weekdays

Jul 7–Oct 1 Weeknights

Oct 12–28 Weekdays

These dates don’t work for you?

Frequently Asked Questions

Do I need to come in with any prior math or programming knowledge?

How is this certificate structured?

How many students are in a class?

How does this certificate prepare me for the job market?

Why is SQL included in the data science certificate?

Is there mandatory work outside of the classroom?

What tangible skills do students leave with after the certificate?

What happens if I need to miss a session?

Do you offer discounts or a payment plan for this course?

Discounts

Payment Plan

Can I take this course online (remote learning)?

How does attending “live online” work?

NYC's Premier Part-Time Data Science Bootcamp

Expand Your Skills with Data

Hands-on Python Training

Highly Reviewed by Our Alumni

Data Science Training Resources

Understanding the Math of Data Science

Harmful Myths about Learning Data Science

Python and Pandas: A Bigger Data Solution to Excel

Why is Everyone Using Python?

Related Classes & Certificates

Python for Data Science Bootcamp

SQL Bootcamp

Python Machine Learning Bootcamp

Python for Automation