Data Science Certificate
Harness the power of data using Python. Learn industry tools, tricks, and tips from top data scientists in NYC.
Harness the power of data using Python. Learn industry tools, tricks, and tips from top data scientists in NYC.
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.
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.
Interpreting and creating queries are essential skills for data scientists. Students learn to prepare and clean data for Python analysis.
Use Python to automate everyday tasks such as aggregating, updating, and formatting data.
Make interactive dashboards and data visualizations with Seaborn, Plotly, and Dash Enterprise.
Jan 21–23 | Tue–Thu | 10am–5pm | SQL Bootcamp |
Jan 27–31 | Mon–Fri | 10am–5pm | Python for Data Science Immersive |
Feb 3–7 | Mon–Fri | 10am–5pm | Python Machine Learning Immersive |
Feb 10–13 | Mon–Thu | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Feb 14 | Friday | 10am–5pm | Python for Automation |
Mar 8–22 | Saturdays | 10am–5pm | SQL Bootcamp |
Mar 29–May 3
Except: Apr 12 |
Saturdays | 10am–5pm | Python for Data Science Immersive |
May 10–Jun 14
Except: May 24 |
Saturdays | 10am–5pm | Python Machine Learning Immersive |
Jun 21 | Saturday | 10am–5pm | Python for Automation |
Jun 28–Aug 2
Except: Jul 5 |
Saturdays | 10am–5pm | Python Data Visualization & Interactive Dashboards |
Mar 26–Apr 14 | Wed & Mon | 6–9pm | SQL Bootcamp |
Apr 16–May 19 | Wed & Mon | 6–9pm | Python for Data Science Immersive |
May 21–Jun 23 | Wed & Mon | 6–9pm | Python Machine Learning Immersive |
Jun 25 & 30 | Wed & Mon | 6–9pm | Python for Automation |
Jul 2–Aug 4 | Wed & Mon | 6–9pm | Python Data Visualization & Interactive Dashboards |
May 20–22 | Tue–Thu | 10am–5pm | SQL Bootcamp |
May 27–Jun 2 | Weekdays | 10am–5pm | Python for Data Science Immersive |
Jun 3 | Tuesday | 10am–5pm | Python for Automation |
Jun 9–13 | Mon–Fri | 10am–5pm | Python Machine Learning Immersive |
Jun 16–19 | Mon–Thu | 10am–5pm | Python Data Visualization & Interactive Dashboards |
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 Climb Credit. See the Climb Credit FAQ for more information.
If you’re a company enrolling your employee or an employee seeing tuition reimbursement from your company, choose Corporate Invoice at checkout.
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
I didn't expect to learn much in a 4 session Python course, but Art's teaching style was very fitting for me. As the Chinese proverb states: Tell me, I'll forget. Show me, I'll remember. Involve me, I'll understand.
—James C.
Experienced educators who are driven to help you succeed
Refresh the materials and gain additional practice
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.
Unlike other providers, these are not mass open-enrollment classes. At Practical Programming, 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.
We want you to succeed in your career goals. In addition to 114 hours of hands-on, interactive training, you’ll also receive four 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 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
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 18 Hours
Unit 3 30 Hours
Unit 4 6 Hours
Unit 5 24 Hours
In addition to 114 hours of interactive training, you will receive four 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 Climb Credit (no interest or financing fees).
Learn more in the Financing section above.
Sorry, but this training is not available online. However, some individual courses in this certificate program may be available online. Contact us if you would like to take this program remotely.
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.
In this advanced course, you will cover the major Python financial libraries to gather and manipulate financial data. You will start by working with financial APIs to fetch financial, company, and economic data. We will analyze financial statements from the SEC website, including financial ratios derived from the income statement and balance sheet. You will build a risk management models using Python libraries to create VAR models and Monte Carlo simulation. We will learn how to apply statistical measures such as linear regression to financial uses such as stock prices.
This course will begin with advanced Python and statistic topics such as object-orientated programming and regression models. Students will learn how to apply these concepts using real-world financial data by building a predictive returns model using regression. We will then introduce students to important financial statements and ratios, and how to pull data from these statements and compute these important financial ratios using Python.
As people get busier and busier, we want to automate as much as we can day to day including our investments. Using Python, this class will teach you how to build robust and automated trading strategies without needing to spend hours a day overseeing their portfolio. Students learn how to connect their Python scripts with an online trading brokerage, how to place and query stock orders, and are introduced to Machine learning as it applies to properly value an Option.
Purchase group class vouchers at a discount for our regularly-scheduled group classes in NYC, or create a custom training program at your offices.
We’ve trained thousands of companies!
Let us create the perfect program for your team.
To reschedule or cancel, email class@programwithus.com.
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 Immersive | $1,495 |
$1,895.00 | Python Machine Learning Immersive | $1,895 |
$205.50 | Python for Automation | $425 |
▴ Your 10% deposit has been applied, as well as the certificate discount of $2,490 | ||
Free | SQL Bootcamp | $975 |
Free | Python Data Visualization & Interactive Dashboards | $1,695 |
$3,995.00 | Total You Pay |
See the Installment plan FAQ for more information.