Key Information
Python for Data Science Bootcamp
Data Science Certificate
Python Developer Certificate
$1,495 30 Hours
$3,495 84 Hours
$3,995 90 Hours
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Learn More
Learn More
Download Syllabus
Download Syllabus
Download Syllabus
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.
L earn 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
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: October 11–15, Monday to Friday, 10–5pm
Other scheduling options Weekdays or weeknights
View full schedule
Next start date: Oct 11–29, Weekdays
Other scheduling options: Weekdays or weeknights
View full schedule
Next start date: Nov 29–Dec 17, 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
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
  • 30 HoursPython for Data Science Bootcamp
  • 30 HoursPython Machine Learning Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Programming Bootcamp
  • 60 HoursPython Web Development with Django
Discounts See our discounts policies for more details
  • 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.
  • 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.
12-Month FinancingSee 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.
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
  • 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 Python Developer Certificate is for individuals who want to code the back ends of websites. This program is best suited for:

  • Individuals looking to learn back end web development.
  • Anyone looking to start a career as a Python 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
  • 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