Data Science Certificate
Learn the tools to become a Data Scientist with hands-on training and mentoring from industry experts. Analyze data with Python, create machine learning models and interactive visualizations, and query databases with SQL.
Learn the tools to become a Data Scientist with hands-on training and mentoring from industry experts. Analyze data with Python, create machine learning models and interactive visualizations, and query databases with SQL.
Learn how to manipulate databases and perform data analysis in this beginner-friendly program, preparing you for entry-level data science and Python engineering positions. Data science careers regularly rank among today's best and highest-paying jobs.
Learn Python programming fundamentals and how to use its main data science libraries to analyze data. Read and write complex database queries, prepare and clean data for analysis, and use Python to automate everyday tasks such as aggregating, updating, and formatting data.
Use your data to build machine learning models and evaluate their performance. Clean and balance your data with Pandas, apply machine learning algorithms with the scikit-learn library to solve real-world problems, and analyze the results to detect areas for improvement.
Build and present dynamic dashboards and other data visualizations. Learn to use Python's major plotting and dashboard libraries Matplotlib, Seaborn, Plotly, and Dash Enterprise. Deploy your projects online with Github to demonstrate your analytical abilities to employers.
This certificate program prepares you to enter the data science industry. You will:
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are 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
Excellent class that immerses me in a deep and valuable understand of Python and data science!
Erik
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
Art Yudin is a fantastic instructor. During the course, he was very helpful with providing links, explaining certain methods, and providing really good examples.
Emil M.
It was great to see my progress during the duration of this bootcamp. I started with no prior knowledge of Python and by the end of the course, I was able to complete a machine learning project using Python.
Niekel Griffith
Jun 12–16 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Jun 20–22 | Tue–Thu | 10am–5pm | SQL Bootcamp |
Jun 23 | Friday | 10am–5pm | Python for Automation |
Jun 26–30 | Mon–Fri | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Jul 5–11 | Wed–Tue | 10am–5pm | Python Machine Learning Bootcamp |
Jul 17–21 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Jul 24–31 | Mon–Wed | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Aug 1–3 | Tue–Thu | 10am–5pm | SQL Bootcamp |
Aug 7 | Monday | 10am–5pm | Python for Automation |
Aug 8–15 | Tue–Mon | 10am–5pm | Python Machine Learning Bootcamp |
Aug 9–28 | Wed & Mon | 6–9pm | SQL Bootcamp |
Aug 30–Oct 9
Except: Sep 4, Sep 25 |
Wed & Mon | 6–9pm | Python for Data Science Bootcamp |
Oct 11 & 16 | Wed & Mon | 6–9pm | Python for Automation |
Oct 18–Nov 20 | Wed & Mon | 6–9pm | Python Data Visualization & Interactive Dashboards |
Nov 27–Jan 3
Except: Dec 25, Jan 1 |
Mon & Wed | 6–9pm | Python Machine Learning Bootcamp |
Sep 18–22 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Sep 26 | Tuesday | 10am–5pm | Python for Automation |
Sep 27–29 | Wed–Fri | 10am–5pm | SQL Bootcamp |
Oct 2–6 | Mon–Fri | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Oct 10–16 | Tue–Mon | 10am–5pm | Python Machine Learning Bootcamp |
Sep 23–Oct 21 | Saturdays | 10am–5pm | Python for Data Science Bootcamp |
Oct 28–Nov 11 | Saturdays | 10am–5pm | SQL Bootcamp |
Nov 18 | Saturday | 10am–5pm | Python for Automation |
Dec 2–Jan 13
Except: Dec 23, Dec 30 |
Saturdays | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Jan 20–Feb 17 | Saturdays | 10am–5pm | Python Machine Learning Bootcamp |
Nov 13–15 | Mon–Wed | 10am–5pm | SQL Bootcamp |
Nov 27–Dec 1 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Dec 4 | Monday | 10am–5pm | Python for Automation |
Dec 5–12 | Tue–Mon | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Dec 13–20 | Wed–Tue | 10am–5pm | Python Machine Learning Bootcamp |
Jan 16–18 | Tue–Thu | 10am–5pm | SQL Bootcamp |
Jan 22–26 | Mon–Fri | 10am–5pm | Python for Data Science Bootcamp |
Jan 29–Feb 5 | Mon–Thu | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Feb 6 | Tuesday | 10am–5pm | Python for Automation |
Feb 7–14 | Wed–Tue | 10am–5pm | Python Machine Learning Bootcamp |
Need more flexibility? Tap the button below to individually choose class date options for each class in this program.
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 tuition financing plan. We also assist with documentation should your employer offer tuition reimbursement.
See the Installment plan FAQ for more information.
Student financing plan provided through Leif. See the Leif FAQ for more information.
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.
This program is approved for the training of veterans and other eligible persons by the approved agency. Contact us for more information.
There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.
However, if you plan to take the course live online, you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost.
This program is a discounted package of classes that is 15–25% off the individual class prices, so additional discounts do not apply.
Learn the concepts and skills covered in this program or your tuition is on us. See details and terms & conditions.
Work on projects proven to boost retention
Refined over many cohorts for an optimal learning experience
The teaching method at Noble Desktop is perfect and the classes provide you with infinite knowledge that makes you eager to take everything they offer. I love Noble!
—Ivonne Ackerman
Experienced educators who are driven to help you succeed
Refresh the materials for free within one year
Attend this certificate program in-person in NYC or Live Online via Zoom. Engage with expert instructors, ask questions, and get feedback on your exercises and projects. Switch between live-online and in-person as needed, even after the course has started.
Unlike other providers, these are not mass open-enrollment classes. At Noble Desktop, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get face-to-face interaction with an instructor and other students when you learn at our NYC campus. Courses are hands-on with a computer and software provided.
Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.
Our instructors are verterans of their field and experienced educators, driven to help you succeed.
Program Director & Senior Instructor
Program Director & Senior Instructor
School Director, Instructor, & Senior Course Developer
We want you to succeed in your career goals. In addition to 114 hours of hands-on, interactive training, you’ll also receive six 1-on-1 mentoring sessions where you can:
Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
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We offer a single free retake of the any module or the whole program within a year.
You can also access recordings of each session in your student portal within one business day of the session’s end. Recordings are available for one month after the session.
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
Unit 2 18 Hours
Unit 3 6 Hours
Unit 4 30 Hours
Unit 5 30 Hours
Learn practical skills by working on real projects with instructor guidance and lectures to strengthen and improve your skill.
Create animated bar chart race with Python's bar-chart-race library
Learn to customize your visualizations with vibrant color schemes
Learn to overlay and compare trends in your data
Learn to graph commodity prices and other kinds of timeseries data
Learn to take cross-sections of your data and find patterns
Learn how to create impressive data visualizations
Learn SQL to query databases, create functions and variables, and more
We cover the tools and techniques you need to succeed.
A general-purpose programming language that can be used to develop applications, analyze and visualize data, create machine learning algorithms, automate tasks, and much more.
SQL is used to communicate with databases. It stands for Structured Query Language, because it’s a way to query (question) the information stored in a database.
Jupyter Notebook is where many people code Python. You can create notebooks with notes and code (such as Python), which run directly in your web browser.
A Python library for fast and powerful data analysis and manipulation.
Machine learning uses computer algorithms to analyze data. Machine learning (ML) is viewed as a kind of artificial intelligence (AI).
A Python library for scientific computing.
A Python library for creating static, animated, and interactive visualizations.
A Python library for machine learning.
Beautiful Soup is a Python library that helps you pull data out of HTML and XML files.
Portfolios are how data scientists show their skills and get hired. Create a collection of your strongest projects to show potential clients or employers.
The Data Science Certificate is best suited for:
In addition to 114 hours of interactive training, you will receive six 1-on-1 mentoring sessions that can be used for career and job support, including polishing your resume, preparing for interviews, and reviewing best practices for applying to jobs. Note, however, that we don’t provide job placement (i.e. reaching out to companies on your behalf).
The certificate is comprised of four classes that teach you four different but complementary skills:
With all of these classes, students will fill all the pre-requisites needed for an entry-level data scientist position.
Noble’s typical class ranges from 8–12 students, but we accept up to 20 students.
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.
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.
Students are not required to complete any work outside of class. However, we provide students with bonus materials if they would like extra practice.
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.
Students must be comfortable using a computer. No other prior knowledge is required.
Yes, this course is eligible for our installment plan or a 12-month financing plan through Leif (no interest or financing fees).
Learn more in the Financing section above.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
You have some options:
Select up to two courses and tap Compare selected courses to view a side-by-side comparison of Data Science Certificate with your selected courses.
Learn the skills you’ll need to become a Data Analyst or Business Analyst, including data analysis, visualization, statistical analysis, and how to work with relational databases. Build a portfolio of projects and prepare for a career.
Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.
Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib. Use machine learning to apply regressions and other statistical analyses to create predictive models. Create dynamic dashboards and other data visualizations.
Gain the analytical and programming skills to break into finance technology. Learn the fundamentals of Python programming, data science, financial analysis, data visualization, and machine learning. Create your own final project.
Salary in NYC
$156,000 / year
Data scientists collect, organize, and analyze large sets of data, providing analysis that is key to decision making. Governments, non-profits, and businesses of all types rely on data for forecasting, risk management, and resource allocation. Data scientists discover and analyze trends in data, and report their findings to stakeholders. They will use algorithms and models to simplify and mine data sets to create data-driven recommendations. Data scientists are needed across a handful of industries, especially the ubiquity of data and the reliance on it for business decision-making.
Salary in NYC
$77,000 / year
Data analysts review large amounts of data to summarize, analyze, and visualize it and provide insights. Working from data from multiple, relevant sources, they create and maintain databases, and use statistical techniques to analyze the collected data. Data analysts must be able to communicate with others about what the data shows and to be able to provide realistic recommendations based on their analysis. Many industries such as healthcare, advertising, and retail rely on the work of data analysts to inform their business decisions and strategy.
Inevitably, everyone who has any interest in Data Science faces a wall, and that wall’s name is Mathematics. As much as we would love to avoid the intricacies of math in data science, when a stakeholder asks, “Can you explain the an...
The internet is full of noise about what counts as “real” data science. This genre is generally a waste of time, but for beginners it can be particularly pernicious. If you’re already feeling like a fish out of water...
Excel spreadsheets have been the standard in the business world, allowing people to leverage spreadsheets for everything from accounting to managing schedules. As one of the world’s most popular software programs, Excel is used in all fac...
Any way you measure it, Python is booming in popularity. According to the most recent survey by Stack Overflow, Python is the “most wanted” programming languag...
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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 | |
---|---|---|
$399.50 | 10% non-refundable deposit | -- |
$1,495.00 | Python for Data Science Bootcamp | $1,495 |
$1,895.00 | Python Machine Learning Bootcamp | $1,895 |
$205.50 | SQL Bootcamp | $975 |
▴ Your 10% deposit has been applied, as well as the certificate discount of $2,490 | ||
Free | Python for Automation | $425 |
Free | Python Data Visualization & Interactive Dashboards | $1,695 |
$3,995.00 | Total You Pay |
See the Installment plan FAQ for more information.
Program Director & Senior Instructor
Art Yudin is a FinTech enthusiast who has a great passion for coding and teaching. Art is the founder and CEO of Practical Programming (a Noble Desktop partner company), a leading training company for aspiring developers and data scientists. Currently, Art develops financial services software and leads classes and workshops at Practical Programming in New York and Chicago.
He is the author of several coding publications including "Building Versatile Mobile Apps with Python and REST with React and Django."
Program Director & Senior Instructor
Brian is an experienced instructor, curriculum developer, and professional web developer, who in recent years has served as Director for a coding bootcamp in New York. Brian joined Noble Desktop in 2022 and is a lead instructor for HTML & CSS, JavaScript, Python for Data Science, and Excel. Prior to that, he taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College.School Director, Instructor, & Senior Course Developer
Dan Rodney has been a designer and web developer for over 20 years. He creates coursework for Noble Desktop and teaches classes. In his spare time Dan also writes scripts for InDesign (Make Book Jacket, Proper Fraction Pro, and more). Dan teaches just about anything web, video, or print related: HTML, CSS, JavaScript, Figma, Adobe XD, Sketch, After Effects, Premiere Pro, Photoshop, Illustrator, InDesign, and more. You can find Dan on Twitter, LinkedIn, Facebook, and at danrodney.com.