Machine Learning & Automation for Finance
Hands-on Training from Experts
NYC or Live Online
Python Machine Learning Classes in NYC
All sessions are full. Contact us to be added to the waiting list.
Many times in finance, companies are tasked with analyzing historical data to better predict future outcomes, whether its to value a company, invest in a stock, or to better predict risk. Using Python and Machine learning techniques students can learn to better predict in a faster and more accurate way.
This course will begin with advanced Python and statistic topics such as object-orientated programming and regression models. After learning this first module, students will learn how to apply these concepts using real-world financial data by building a predictive returns model using regression.
The next section of the course will introduce students to important financial statements and ratios. After students learn these financial concepts, they will be introduced on how to pull data from these statements and compute these important financial ratios using Python.
After an initial analysis, students will cover more advanced financial modeling topics that measure present value, cost of capital, and the rate of return of an investment. Students will then apply those concepts using Python and Machine learning to build predictive financial models. After building these models, students will learn how to build out a budgeting model using only Python. Lastly, students will learn how to visualize their findings and export them into a PDF report, Excel file, or SQL database.
At the end of the course, students will feel comfortable making decisions driven by data analysis in Python. This course is perfect for anyone working in all areas of finance, risk management, reporting, general financial management, financial investments.
This course has a prerequisite
This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp or Python for Finance Bootcamp before taking this course.
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Hands-on training in small groups
Work on projects proven to boost retention
Time-tested curriculum and supporting materials
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.
Learn from industry experts with teaching experience
Experienced educators who are driven to help you succeed
Retake the course for free within one year
Refresh the materials and gain additional practice
Interactive Training
Learn in Real-Time with Small Class Sizes
Attend this course 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.
On Campus in NYC 185 Madison Ave, NYC
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.
- Live, interactive class
- Experienced instructor in the room with you
- Computer and software provided
Live Online Remote, from anywhere
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.
- Live, interactive class
- Experienced instructor teaching over Zoom
- Remote setup assistance provided
Earn a Certificate of Completion
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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Free Retake & Class Recordings
Missed a session or need a refresher? We have you covered!
Free Retake
We offer a single free retake of the class within a year.
Class Recordings
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.
Frequently Asked Questions
Does this course require any prior knowledge or experience?
This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp or Python for Finance Bootcamp before taking this course.
Do you offer payment plans or student financing for this course?
This course does not qualify for payments plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
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
What happens if I need to miss a session?
You have some options:
- You can watch a recording of the session. We will provide any course materials.
- If you can’t come into the classroom but can still attend remotely, we will provide you with the Zoom login information.
- You can use your free retake to make up any missed class time.
