Machine Learning & Automation for Finance
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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.
As one of our smaller courses, tuition for this course is due in full before the start date. The best way to save on this course is to take it as part of a certificate program.
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.
We don’t currently offer discounts as we do our best to affordably prices our courses.
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Refresh the materials for free within one year
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. 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.
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!
Refresh and solidify your understanding of the course content for no extra charge within a year, provided there is space in the class.
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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Master the major Python financial libraries to gather and manipulate financial data. Use APIs to fetch financial, company, and economic data. Analyze financial statements from the SEC website, including ratios derived from the income statement and balance sheet. Build risk management models and apply linear regression to predict stock prices.
Gain the analytical and programming skills to break into finance technology. Learn the fundamentals of Python programming, data science, financial analysis, and machine learning. Create your own final project.
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.
Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.
Purchase group class vouchers at a discount for our regularly-scheduled group classes in NYC, or create a custom training program at your offices.
Instructor & Program Director
Mourad Kattan is an instructor and Program Director for Finance & Excel at Noble Desktop, teaching classes and designing courses in Excel, finance, accounting, and financial modeling.
Before Noble Desktop, Mourad worked as a financial analyst at Credit Suisse and H/2 Capital Partners. In those positions, he used advanced analytical and financial skills to evaluate a variety of investments.
Mourad graduated from the University of Pennsylvania summa cum laude and is part of the Beta Gamma Sigma honor's society.
School Director, Instructor, & Senior Course Developer