Key Information	Machine Learning & Automation for Finance	Python Machine Learning Immersive	FinTech Bootcamp
	$1,295 18 Hours	$1,895 30 Hours	$4,995 114 Hours
	Learn More	Learn More	Learn More
	Download Syllabus	Download Syllabus

Overview	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.	Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.	Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
Prerequisite	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 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 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	Next start date: October 10–16, Tuesday to Monday, 10–5pm Other scheduling options Weekdays, evenings, or saturdays View full schedule	Next start date: Nov 13–Dec 20, Weekdays Other scheduling options: Weekdays 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
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.
Financing See our Leif FAQ for more details			This program is eligible for 12-month financing through Leif.
Target Audience	Anyone	Confident python developers who would like to explore machine learning hands-on Developers with strong skills in another language, and some background working with data looking to building machine learning models	Anyone
What You’ll Learn	See course details for more info	How to clean and balance your data using the Pandas library Applying machine learning algorithms such as logistic regression and random forest using the scikit-learn library Choosing good features to use as input for your algorithms Properly splitting data into training, test and cross-validation sets Important theoretical concepts like overfitting, variance and bias Evaluating the performance of your machine learning models	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

Enroll in an Upcoming Machine Learning Course

August 2023
Python Machine Learning Immersive August 8–15 Tuesday to Monday 10–5pm EDT	$1,895 30 Hours	Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
FinTech Bootcamp August 14–January 3 Weeknights 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.
September 2023
FinTech Bootcamp September 18–October 16 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.
FinTech Bootcamp September 23–February 17 Weekends 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.
October 2023
Python Machine Learning Immersive October 10–16 Tuesday to Monday 10–5pm EDT	$1,895 30 Hours	Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
November 2023
FinTech Bootcamp November 13–December 20 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.
Python Machine Learning Immersive November 27–January 3 Mondays & Wednesdays 6–9pm EST	$1,895 30 Hours	Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
December 2023
Python Machine Learning Immersive December 13–20 Wednesday to Tuesday 10–5pm EST	$1,895 30 Hours	Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
January 2024
FinTech Bootcamp January 16–February 14 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.
Python Machine Learning Immersive January 20–February 17 Saturdays 10–5pm EST	$1,895 30 Hours	Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.

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