Key Information
Data Science Certificate
FinTech Bootcamp
Data Analytics Certificate
$3,995 114 Hours
$4,995 114 Hours
$4,995 156 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, data visualization, 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: Dec 5–Jul 17, Weeknights
Other scheduling options: Weeknights or weekdays
View full schedule
Next start date: Dec 5–Jul 17, Weeknights
Other scheduling options: Weeknights or weekdays
View full schedule
Next start date: Jan 3–Feb 9, 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 Data Visualization & Interactive Dashboards
  • 30 HoursPython for Data Science Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Machine Learning Bootcamp
  • 30 HoursPython Data Visualization & Interactive Dashboards
  • 18 HoursExcel for Data Analytics
  • 12 HoursData Analytics Foundations
  • 30 HoursPython for Data Science Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Machine Learning Bootcamp
  • 12 HoursTableau Bootcamp
  • 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.
This program is eligible for our “pay-as-you-go” payment plan.
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.
This program is eligible for 12-month financing through Leif.
This program is eligible for 12-month financing through Leif.
Target Audience

The Data Science Certificate is best suited for:

  • Individuals looking to break into data science with Python, machine learning, data visualization, and SQL skills.
  • Analysts who work with other data tools looking to transition to Python and SQL.
  • Developers looking to broaden their skill set by learning 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.
  • Anyone who wants to build their knowledge of data visualization, Python, statistics, and database management.
  • People wanting to become a 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
  • Make interactive dashboards with Dash Enterprise
  • 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 create visualizations and dashboards with Python
  • 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 and Python to visualize data so people can understand it and even interact with it.