Key Information
Python for Data Science Bootcamp
Front-End Web Development Certificate
Data Science Certificate
$1495 30 Hours
$2995 72 Hours
$3495 84 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.
Learn to create the front-end of websites by coding HTML, CSS, JavaScript, jQuery, Sass, and use Git to track changes and collaborate with other developers.
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.
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
Scheduling Options
Weekdays or weekends
Weekdays or weeknights
Weekdays or weekends
Next Start Date
April 24–May 22, Saturdays, 10–5pm
Jun 22–Sep 23, Weeknights
Apr 24–Aug 7, Saturdays
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 only)
N/A
  • 18 HoursWeb Development Level 1
  • 18 HoursWeb Development Level 2
  • 12 HoursFlexbox, Grid, & Bootstrap
  • 18 HoursJavaScript & jQuery
  • 6 HoursWeb Developer Tools: Git & Coding Tips
  • 30 HoursPython for Data Science Bootcamp
  • 30 HoursPython Machine Learning Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
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.
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

This certificate program is for anyone who wants to learn to code websites and become a front-end web developer. It’s a good fit for:

  • Those who want to build websites (using HTML, CSS, and JavaScript).
  • Web designers, art directors, managers, and marketing professionals who want to understand how code works.
  • Anyone who needs to create or edit webpages. Business owners, people in marketing, or anyone in a company that works with the creation of websites, blog posts, landing pages, and more can benefit from web coding skills.
  • 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
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
  • Build the front-end of webpages by coding HTML, CSS, & JavaScript/jQuery
  • Markup content such as text, images, links with HTML and then style it with CSS
  • Code fluid-width layouts that adapt to different size screens
  • Use browser developer tools to see how things work
  • Learn JavaScript/jQuery to add animation and interactive functionality to your webpages
  • See how jQuery can be used to quickly add JavaScript functionality to a site
  • Learn modern CSS page layout technique such as flexbox and grid
  • Use and skin Bootstrap to build out layouts quickly, using their grid system & components
  • Use Git to track changes in your code and collaborate with other developers
  • Tips and tricks to code faster using Emmet, Sass, and code editors like Sublime Text
  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression 
  • Applying Machine learning algorithms to the data
  • Cleaning and balancing data in Pandas
  • Evaluating the performance of machine learning models  
  • Combine information across tables with join statements
  • Advanced techniques such as subqueries and stored procedures 
  • Learn how to write programs in Python to automate everyday tasks