Key Information
Python for Data Science Bootcamp
Data Science Certificate
Python Developer Certificate
$1,495 30 Hours
$3,995 114 Hours
$3,995 90 Hours
Overview
Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.
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.
Learn the skills needed to become a Python Developer, from Python programming fundamentals to web development with Django and Django REST.
Prerequisite
Open to Beginners
Open to Beginners
Students should feel comfortable coding HTML and basic CSS. You should have knowledge equivalent to our Web Development with HTML & CSS class. Knowledge of another programming language is helpful, but not required. 
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: January 9–13, Monday to Friday, 10–5pm
Other scheduling options Weekdays or weeknights
View full schedule
Next start date: Dec 5–Jul 17, Weeknights
Other scheduling options: Weeknights or weekdays
View full schedule
Next start date: Dec 5–23, Weekdays
Other scheduling options: Weekdays only
View full schedule
Certification
Receive a Certificate of Completion
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)
N/A
  • 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 Programming Bootcamp
  • 60 HoursPython Web Development with Django
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.
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.
Target Audience
  • Individuals looking to break into the field of data science with Python
  • People with minimal coding background who want to move into more data-centric work at their current workplace
  • People who work with data in tools like SPSS, STATA, or MATLAB and would like to transition into using Python and SQL.
  • Developers with experience in other arenas, who would like to work in data science

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 Python Developer Certificate is for individuals who want to code the back ends of websites. This program is best suited for:

  • Individuals looking to build on prior front-end experience with HTML and CSS or another coding language.
  • Anyone looking to start a career as a Python Developer or Back-End Web Developer.
  • People who are technically oriented, enjoy working with computers, and want to code and build websites.
What You’ll Learn
  • Foundational programming concepts including loops, functions, and objects
  • Handle different types of data, such as integers, floats, and strings
  • Control the flow of your programs with conditional statements
  • Reuse and simplify code with object-oriented programming
  • Analyze tabular data with Numpy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression, using scikit-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
  • Fundamentals of Python and object-oriented programming
  • How to deploy projects to GitHub using Git 
  • How to automate tasks using Python and Django 
  • Interacting with APIs using Django REST
  • Project portfolio development