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

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 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
Unit 2
30 Hours

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
Unit 3
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
Unit 4
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
- Translate business questions to SQL logic

High-level Overview Download Syllabus PDF

Schedule & Enrollment: Data Science Certificate

$4790 $3495
84 Hours
NYC or Live Online
Free retake
Setup assistance
Payment plans
Small classes

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.
• Financing
• Policies

Filter

Course times are listed in Eastern Time.

Feb 23–May 27 Weeknights

Online Only

Collapse Schedule

Feb 23–Mar 25	Tue & Thu	6–9pm	Python for Data Science Immersive
Mar 30–Apr 29	Tue & Thu	6–9pm	Python Machine Learning Immersive
May 4–20	Tue & Thu	6–9pm	SQL Bootcamp
May 25–27	Tue & Thu	6–9pm	Python for Automation

Mar 29–Apr 15 Weekdays

Expand Schedule

Mar 29–Apr 2	Mon–Fri	10am–5pm	Python for Data Science Immersive
Apr 5–9	Mon–Fri	10am–5pm	Python Machine Learning Immersive
Apr 12–14	Mon–Wed	10am–5pm	SQL Bootcamp
Apr 15	Thursday	10am–5pm	Python for Automation

Apr 17–Jul 31 Saturdays

Expand Schedule

Apr 17–May 15	Saturday	10am–5pm	Python for Data Science Immersive
May 22	Saturday	10am–5pm	Python for Automation
Jun 5–19	Saturday	10am–5pm	SQL Bootcamp
Jun 26–Jul 31 Except: Jul 3	Saturday	10am–5pm	Python Machine Learning Immersive

Jun 7–24 Weekdays

Expand Schedule

Jun 7–11	Mon–Fri	10am–5pm	Python for Data Science Immersive
Jun 14–18	Mon–Fri	10am–5pm	Python Machine Learning Immersive
Jun 21–23	Mon–Wed	10am–5pm	SQL Bootcamp
Jun 24	Thursday	10am–5pm	Python for Automation

These dates don’t work for you?

Tuition Financing Options

If you prefer to pay your tuition over time, we have payment options to meet your needs. Finance your education through an installment plan or a 0% interest student loan. We also assist with documentation should your employer offer tuition reimbursement.

$3,495 Full Tuition

Pay in Installments

Automatic approval
No interest or fees
Manageable installments
Total due by the end of the course

Deposit

$349.50

10% deposit due at checkout to secure your place in the class

Installments

$1,048.50 3 installments

Average installment, due before the start of each class in the program

Full Tuition

$3,495

Installment Plan Breakdown for Data Science Certificate

Each installment is charged to your card on file one week before the start of the associated course. The payment schedule may vary if the courses are taken in a different order

Installments		List Price
$349.50	10% non-refundable deposit	--
$1,495.00	Python for Data Science Immersive	$1,495
$1,650.50	Python Machine Learning Immersive	$1,895
▴ Your 10% deposit has been applied, as well as the certificate discount of $1,295
Free	Python for Automation	$425
Free	SQL Bootcamp	$975
$3,495.00	Total You Pay

See the Installment plan FAQ for more information.

Corporate Invoice

If you’re a company enrolling your employees, choose Corporate Invoice at checkout.

If you’re an employee seeking to have your tuition reimbursed by your company, email us for an invoice to submit to your employer for approval.

Request an invoice Download Syllabus PDF

Choose your payment plan at checkout

Enroll in this course

This Course is Available Live Online

You can attend this training live online at the scheduled time the course is offered (New York, Eastern Time) through screen-sharing software Zoom (free for you).
Our live online training is interactive and hands-on, just like our in-person classes. There are no extra fees and we’ll work with you to ensure your setup is perfect

Classes are activity-based and taught by a live instructor.
You can hear the instruction, ask questions, and share your screen—all in real-time.
Retake the course for free (in-person or live online) within one year.

See What Students Are Saying About Live Online

“Overall experience on Zoom was maybe even better than in IRL classroom because the instruction takes place right on your own screen, with less distraction. Great overall experience.”
“Given the fact that we had to do this entire class remotely due to Covid-19, I didn’t have very high expectations it would run so smoothly. However, I don’t think it could’ve gone any better. Not only do I feel very comfortable with the program now, but I’m actually excited to use it!”
“This was the first online class I’ve taken with ND and it was a great experience. Looking forward to the other classes I’ve signed up for!”

Learn more about how our live online training works

Online Training Demo

1-Minute Overview

Frequently Asked Questions

Who is the target audience for this course?
- Individuals looking to break into data science with Python, machine learning, and SQL skills
- Analysts who work with other data tools looking to transition to Python and SQL
- Developers looking to broaden their skillset to data science and Python
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.
Does this course require any prior knowledge or experience?

Students must be comfortable using a computer. No other prior knowledge is required.
Do you offer any discounts 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.
Do you offer payment plans or student financing for this course?

Yes, this course is eligible for our installment plan.

Learn more in the Financing section above.
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!
- You will need your own computer and copy of any required software. If you don’t have the software, you can usually do a free trial or purchase your own license. If you need assistance, contact us at hello@nobledesktop.com

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.

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Master Programming Fundamentals

Read and Write Complex Queries

Automate Tasks

Learn the Skills Guarantee™

Hands-on training in small groups

Time-tested curriculum and supporting materials

Learn from industry experts with teaching experience

Retake the course for free within one year

What You’ll Learn

Courses in the Certificate Program

Python for Data Science Immersive

Python Machine Learning Immersive

Python for Automation

SQL Bootcamp

Data Science Certificate Overview

Python for Data Science Bootcamp

Python Machine Learning Bootcamp

SQL Bootcamp

Python for Automation

Schedule & Enrollment: Data Science Certificate