Key Information
Python for Data Science Immersive
Data Science Certificate
Data Science Immersive
$1495 30 Hours
$3495 84 Hours
$10995 300 Hours
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Download Syllabus
Download Syllabus
Overview
Learn Python and boost your career with data science. You’ll learn the world’s most popular programming language through real-world dataset analysis. Manipulate data, learn how to make predictions, and gain the foundational skills you need to use Python on the job or start your data science career.
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.
In this 10-week certificate, students will learn all the necessary skills to become data scientists. This immersive course teaches students the programmatic side of data science using Python and SQL. Additionally, students will be taught all the necessary mathematical foundations to data science such as statistics, probability, and linear algebra. After completing this certificate, students will be able to apply for the following roles: data scientist, data analyst, business analyst, and many more. Noble Desktop will support students in their effort to find jobs by helping students with resume, interview prep, and introducing students to companies looking to hire engineers. 
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, weeknights, or weekends
Weekdays, weeknights, or weekends
Not currently scheduled
Next Start Date
January 25–29, Monday to Friday, 10–5pm
Feb 23–May 27, Weeknights
Not currently scheduled
Certification
Receive a Certificate of Completion
New York-licensed Certificate Program
Receive a Certificate of Completion
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates only)
N/A
  • 30 HoursPython for Data Science Immersive
  • 30 HoursPython Machine Learning Immersive
  • 6 HoursPython for Automation
  • 18 HoursSQL Bootcamp
N/A
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 program is a 60+ hour bootcamp, already priced at a discounted rate. 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.
Target Audience

  • New programmers and people who have never coded before

  • Anyone who wants to break into data science, machine learning, and the tech industry 

  • Analysts who work with Excel and are ready to upgrade with Python's ecosystem and automation capabilities

  • Someone working on a solid foundation before diving into machine learning
  • 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
Anyone
What You’ll Learn
  • Programming foundations including objects, loops, and functions
  • The object-oriented programming paradigm 
  • How to work with different types of data such as strings, lists, and integers
  • Selectively alter the control flow of your programming with conditional statements 
  • Analyze tabular data using Python libraries NumPy and Pandas
  • Create data visualizations with Matplotlib 
  • Predict outcomes using linear regression with Scikit-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  
  • 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 
  • 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
  • Write queries to search through tables programmatically
  • Predict off historical data using advanced statistiscs 
  • Understand how to program probability into forecasting models 
  • Write programs using Artifical Intelligence 
  • Understand the mathematical foundation ofn data science 
  • Build a Portfolio of Projects Throughout the Course