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In this certificate, students will learn how to use analyze financial data using Python. The program starts with the fundamentals of Python and data science, including data types and data structures. You'll learn to work with SQL to query databases. Participants progress to building sophisticated statistical models using machine learning where you'll complete your own final project. In the last course, you will learn advanced libraries and applications of Python specifically for financial analysis, including SEC filings, stock prices, portfolio and risk management, and financial ratios.
This program prepares students for entry-level positions in data science and financial technology and provides valuable programming and data analysis skills for any financial analyst or professional.
This course is open to beginners with no prior knowledge of Python, programming concepts, or data science. However, participants should be familiar with financial concepts such as NPV, IRR, financial statements, and stock fundemantals. Those without a background in finance should contact us after registration to access a free on-demand supplemental guide.
Learn with real-world projects
Step-by-step instruction to boost retention
Gain industry knowledge from professionals
Retake the course for free within one year
Learn the concepts and skills covered in this program or your tuition is on us. See details and terms & conditions.
The Career Centers instructors are highly skilled communicators who really know their craft. They are wonderful about explaining and re-explaining when necessary and I never felt rushed or foolish for asking a question.
We want you to succeed in your career goals. In addition to 102 hours of hands-on, interactive training, you'll also receive four 1-on-1 mentoring session where you can:
Upon completion of this course, you’ll recieve 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!
This is the recommended order, but some courses may be taken in a different order. See the FAQ for more details.Download Syllabus PDF High-level Overview
This course is offered by our affiliate school, Noble Desktop.
View upcoming course dates and register at nobledesktop.com
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.
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
|$449.50||10% non-refundable deposit||--|
|$1,595.00||Python for Data Science Bootcamp||$1,595|
|$1,895.00||Python Machine Learning Bootcamp||$1,895|
|▴ Your 10% deposit has been applied, as well as the certificate discount of $1,690|
|Free||Python for Automation||$425|
|Free||Python for Finance Bootcamp||$1,295|
|$4,495.00||Total You Pay|
Student loan provided through Climb Credit. See the Climb Credit 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.
Choose your payment plan at checkoutEnroll in this course
185 Madison Avenue, NYC
In-person training happens at our campus in NYC where you’ll get face-to-face interaction with instructors and direct collaboration with other students. Courses are hands-on with all the necessary computers and software provided to you in class.
Live online training happens through Zoom during the same time as the in-person class and gets you 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 graduated from top schools, worked at esteemed financial services companies, and are experienced educators dedicated to your personal learning.
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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.More details