Key Information
Data Science Certificate
FinTech Bootcamp
Data Analytics Certificate
$3,495 84 Hours
$4,495 102 Hours
$4,995 126 Hours
Overview
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.
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.
Learn the skills you'll need to become a Data Analyst or Business Analyst, including data analysis, visualization, statistical analysis, and how to work with relational databases. Build a portfolio of projects and prepare for a career.
Prerequisite
Open to Beginners
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: Nov 1–Feb 7, Weeknights
Other scheduling options: Weekdays or weeknights
View full schedule
Next start date: Jan 10–Feb 2, Weekdays
Other scheduling options: Weekdays or weeknights
View full schedule
Next start date: Jan 4–Feb 25, Weekdays
Other scheduling options: Weekdays or weeknights
View full schedule
Certification
New York-licensed Certificate Program
New York-licensed Certificate Program
New York-licensed Certificate Program
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates & packages only)
  • 30 HoursPython for Data Science Bootcamp
  • 30 HoursPython Machine Learning Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython for Data Science Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Machine Learning Bootcamp
  • 18 HoursPython for Finance Bootcamp
  • 12 HoursExcel for Data Analytics
  • 12 HoursData Analytics Foundations
  • 30 HoursPython for Data Science Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 24 HoursData Analytics Industry & Portfolio
  • 6 HoursTableau Level I
  • 6 HoursTableau Level II
Discounts See our discounts policies for more details
  • This is a discounted package of classes that is 15–25% off the individual class prices. Other discounts do not apply.
  • This is a discounted package of classes that is 15–25% off the individual class prices. Other discounts do not apply.
  • 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.
This program is eligible for our “pay-as-you-go” payment plan.
This program is eligible for our “pay-as-you-go” payment plan.
12-Month Financing See our Climb Credit FAQ for more details
This program is eligible for financing through Climb Credit.
This program is eligible for financing through Climb Credit.
This program is eligible for financing through Climb Credit.
Target Audience
  • Individuals looking to break into data science with Python, machine learning, and SQL skills
  • Analysts who work with other data tools looking to transition to Python and SQL
  • Developers looking to broaden their skillset to data science and Python

The FinTech Bootcamp is for professionals looking to break into the field of financial technology and learn important skills such as Python programming, financial analysis, and machine learning. This program is best suited for:

  • Individuals looking to start a career as a Financial Analyst or Data Scientist
  • Anyone interested in working in FinTech or a related field
  • Finance professionals looking to broaden and advance their skills

The Data Analytics Certificate is best suited for:

  • Anyone looking to launch their career as a Data Analyst or Business Analyst.
  • People wanting to become a data scientist, marketing analyst, or financial analyst (requires additional courses after this program).

What You’ll Learn
  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression 
  • Apply machine learning algorithms to the data
  • Clean and balance data in Pandas
  • Evaluate the performance of machine learning models  
  • Combine information across tables with join statements
  • Advanced techniques such as subqueries and stored procedures 
  • Write programs in Python to automate everyday tasks
  • Methods for analyzing financial data using Python and SQL
  • Different types of data, such as integers, floats, and strings
  • How to analyze tabular data and graph the results
  • How to use Python to analyze a financial statement
  • Financial topics such as WACC, NPV, and IRR
  • How to build predictive models for internal budgeting
  • How to work with data using a graphical user interface
  • How to search through tables programmatically
  • Advanced querying techniques like subqueries and timestamp functions
  • Learn how to use Excel to manipulate and visualize data.
  • Gather, clean, analyze, and visualize data with the Python programming language using scientific libraries.
  • Extract information using SQL to interact with relational databases and perform database operations.
  • Interpret the results in an accurate & meaningful way using advanced techniques and statistical tools to conduct thorough & insightful analyses.
  • Use Tableau to visualize data so people can understand it. These can be interactive!