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Key Information
Data Science Certificate
$3,995 114 Hours
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Overview
Master the tools to become a data scientist: Python, SQL, automation, machine learning, and data visualization. Learn Python programming fundamentals, analyze and visualize data with Python's powerful libraries, query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.
Prerequisite
Open to Beginners
Location
185 Madison Ave, NYC or Live Online
Schedule
Next start date: Nov 13–Dec 20, Weekdays
Other scheduling options: Weekdays or evenings
View full schedule
Certification
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)
  • 30 HoursPython for Data Science Immersive
  • 30 HoursPython Machine Learning Immersive
  • 6 HoursPython for Automation
  • 18 HoursSQL Bootcamp
  • 30 HoursPython Data Visualization & Interactive Dashboards
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.
Payment Plan See our payment plan FAQ for more details
This program is eligible for our “pay-as-you-go” payment plan.
Financing See our Leif FAQ for more details
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
What You’ll Learn
  • 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  
  • Find data stories through exploratory data analysis
  • Use advanced Python visualization libraries
  • Build dashboards that utilize effective design
  • Deploy dashboards and visualizations on a live server
  • 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 

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