Key Information	Python for Finance Immersive	Machine Learning & Automation for Finance	FinTech Bootcamp
	$1,295 18 Hours	$1,295 18 Hours	$4,495 102 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, and SQL from experienced finance & engineering professionals in this 102-hour immersive.
Prerequisite	Python / Data: Participants should be familiar with concepts from Python for Data Science Bootcamp or Python Programming 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 fundemantals. Those without a background in finance should contact us after registration to access a free on-demand supplemental guide.	Open to Beginners	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	Next start date: November 1–3, Monday to Wednesday, 10–5pm Other scheduling options Weekdays, weeknights, or weekends View full schedule	Next start date: October 25–26, Monday to Tuesday, 10–5pm Other scheduling options Weekdays only View full schedule	Next start date: Oct 11–Nov 3, Weekdays Other scheduling options: Weekdays only 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
Discounts See our discounts policies for more details	Shorter courses such as this are already affordably priced and are not eligible for discounts.	Shorter courses such as this are already affordably priced and are not eligible for discounts.	This is a discounted package of classes that is 15–25% off the individual class prices. Other discounts do not apply.
Payment Plan See our payment plan FAQ for more details			This program is eligible for our “pay-as-you-go” payment plan.
12-Month FinancingSee our Climb Credit FAQ for more details			This program is eligible for 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 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

Enroll in an Upcoming FinTech Course

October 2021
FinTech Bootcamp October 11–November 3 Weekdays 10–5pm EDT	$4,495 102 Hours	Learn Python for financial analysis, machine learning, and SQL from experienced finance & engineering professionals in this 102-hour immersive.	Add to cart
Machine Learning & Automation for Finance October 25–26 Monday to Tuesday 10–5pm EDT	$1,295 18 Hours	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.	Add to cart
November 2021
Python for Finance Immersive November 1–3 Monday to Wednesday 10–5pm EDT	$1,295 18 Hours	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.	Add to cart
Python for Finance Immersive November 15–December 6 Mondays & Wednesdays 6–9pm EST	$1,295 18 Hours	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.	Add to cart
January 2022
Python for Finance Immersive January 15–29 Saturdays 10–5pm EST	$1,295 18 Hours	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.	Add to cart
Python for Finance Immersive January 31–February 2 Monday to Wednesday 10–5pm EST	$1,295 18 Hours	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.	Add to cart
March 2022
Python for Finance Immersive March 3–24 Thursdays 10–5pm EST	$1,295 18 Hours	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.	Add to cart
Python for Finance Immersive March 21–23 Monday to Wednesday 10–5pm EDT	$1,295 18 Hours	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.	Add to cart
June 2022
Python for Finance Immersive June 6–22 Mondays & Wednesdays 6–9pm EDT	$1,295 18 Hours	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.	Add to cart

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