Key Information	Python for Finance Immersive	Machine Learning & Automation for Finance	FinTech Bootcamp
	$1,295 18 Hours	$1,295 18 Hours	$4,995 114 Hours
	Learn More	Learn More	Learn More
	Download Syllabus	Download Syllabus

Overview	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.	Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
Prerequisite	Python / Data: Participants should be familiar with concepts from Python for Data Science Bootcamp, including built-in data types, data structures, Pandas, and Matplotlib. Finance Background: Participants should be familiar with financial concepts such as NPV, IRR, financial statements, and stock fundamentals. Those without a background in finance should contact us after registration to access a free on-demand supplemental guide.	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.	Open to Beginners
Location	185 Madison Ave, NYC or Live Online	185 Madison Ave, NYC or Live Online	185 Madison Ave, NYC or Live Online
Schedule	Not currently scheduled	Not currently scheduled	Next start date: Dec 4–Jan 3, Weekdays Other scheduling options: Weekdays, saturdays, or evenings View full schedule
Certification	Receive a Certificate of Completion	Receive a Certificate of Completion	New York-licensed Certificate Program
1:1 Mentoring Included See all courses that offer 1–on–1 mentoring
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates & packages only)	N/A	N/A	30 HoursPython for Data Science Immersive 18 HoursSQL Bootcamp 6 HoursPython for Automation 30 HoursPython Machine Learning Immersive 18 HoursPython for Finance Immersive 30 HoursPython Data Visualization & Interactive Dashboards
Payment Plan See our payment plan FAQ for more details			This program is eligible for our “pay-as-you-go” payment plan.
Financing See our Climb Credit FAQ for more details			This program is eligible for 12-month financing through Climb Credit.
Target Audience	Anyone	Anyone	Anyone
What You’ll Learn	Gathering financial information with Python Financial APIs Analyzing 10k from the SEC website Time value of money with Python Risk management with Python Calculating VAR Financial Ratios Fixed income with Python Option strategies with Python Portfolio management with Python Regression analysis	See course details for more info	Python: Handling different types of data, such as integers, floats, and strings Python: Analyze tabular data with Numpy and Pandas and graph the results using Matplotlib Python: Learn how to pull data from multiple sources Machine Learning: Learn how to analyze a financial statement using Python Machine Learning: Learn financial topics such as WACC, NPV, IRR Machine Learning: Learn how to build predictive models for internal budgeting Data Visualization: Find data stories through exploratory data analysis Data Visualization: Use advanced Python visualization libraries Data Visualization: Build dashboards that utilize effective design Data Visualization: Deploy dashboards and visualizations on a live server SQL: Explore and alter data using a graphical user interface SQL: Write queries to search through tables programmatically SQL: Understand different data types and converting between them SQL: Combine information across tables with join statements SQL: Advanced techniques like subqueries and timestamp functions

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July 2024
FinTech Bootcamp July 25–December 10 Evenings 6–9pm EDT	$4,995 114 Hours	Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
August 2024
FinTech Bootcamp August 12–September 13 Weekdays 10–5pm EDT	$4,995 114 Hours	Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
September 2024
FinTech Bootcamp September 7–January 25 Saturdays 10–5pm EDT	$4,995 114 Hours	Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
FinTech Bootcamp September 30–October 30 Weekdays 10–5pm EDT	$4,995 114 Hours	Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
November 2024
FinTech Bootcamp November 13–April 16 Evenings 6–9pm EST	$4,995 114 Hours	Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
December 2024
FinTech Bootcamp December 4–January 3 Weekdays 10–5pm EST	$4,995 114 Hours	Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.