We do not currently offer this class. Learn advanced Python for skills like machine learning, automation, and data analysis in our Python Machine Learning Bootcamp, Python for Automation class, and Python for Finance Bootcamp.
Many times in finance, companies are tasked with analyzing historical data to better predict future outcomes, whether it's to value a company, invest in a stock, or better predict risk. Using Python and machine learning techniques, you 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 this first module, you 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 important financial statements and ratios. After you learn these financial concepts, you will learn how to pull data from these statements and compute these important financial ratios using Python.
After an initial analysis, you will cover more advanced financial modeling topics that measure present value, cost of capital, and the rate of return of an investment. You will then apply those concepts using Python and machine learning to build predictive financial models. After building these models, you will learn how to build out a budgeting model using only Python. Lastly, you will learn how to visualize your findings and export them into a PDF report, Excel file, or SQL database.
At the end of the course, you should 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 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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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 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.
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 class 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 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.
This course does not qualify for payments plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
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There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.
We don’t currently offer discounts as we do our best to affordably prices our courses.
