Compare Advanced Python Classes

Which Advanced Python course is right for you? This tool allows you to compare our Advanced Python courses with the important information you need to make the right decision.

Key Information
Python Machine Learning Bootcamp
Python for Automation
Python Data Science & Machine Learning Bootcamp
$1,895 30 Hours
$425 6 Hours
$3,495 96 Hours
Overview
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML/CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.
Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.
Prerequisite
This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.
Participants should have knowledge equivalent to our Python for Data Science Bootcamp course.
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: May 10–June 14, Saturdays, 10–5pm, except May 24
Other scheduling options Saturdays, evenings, or weekdays
View full schedule
Next start date: June 3, Tuesday, 10–5pm
Other scheduling options Weekdays, saturdays, or evenings
View full schedule
Next start date: May 27–Jun 19, Weekdays
Other scheduling options: Weekdays, saturdays, or evenings
View full schedule
Certification
Receive a Certificate of Completion
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
N/A
  • 30 HoursPython for Data Science Bootcamp
  • 30 HoursPython Machine Learning Bootcamp
  • 6 HoursPython for Automation
  • 24 HoursPython Data Visualization & Interactive Dashboards
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 Climb Credit FAQ for more details
Target Audience
  • Confident python developers who would like to explore machine learning hands-on
  • Developers with strong skills in another language, and some background working with data looking to building machine learning models
  • Employees whose jobs involve any repetitive work in the browser
  • Entrepreneurs running small businesses that need to run efficiently
  • Individuals looking to learn automation techniques for personal or professional use
  • Those interested in a career in automated software testing

The Python Data Science & Machine Learning Bootcamp is best suited for:

  • Anyone who wants to learn Python, machine learning, and data visualization skills
  • Analysts who work with other data tools looking to transition to Python
  • Developers looking to broaden their skill set by learning data science and Python
What You’ll Learn
  • Explore foundational techniques like linear and logistic regression for modeling numerical and categorical data
  • Understand the difference between regression and classification problems and when to apply each approach
  • Build and evaluate models using k-nearest neighbors, decision trees, and ensemble methods like random forest
  • Learn key concepts such as cross-validation, training vs test sets, and performance metrics like mean squared error
  • Apply feature engineering techniques to improve model accuracy while managing overfitting and bias-variance tradeoffs
  • Use Python’s essential data science libraries, NumPy, Pandas, and scikit-learn, to structure data and implement algorithms
  • Gain insights into how machine learning powers systems at companies like Netflix, Spotify, and Amazon
  • Complete a final portfolio project that demonstrates your ability to apply machine learning to solve real problems
  • Understand how websites are structured using HTML and CSS to identify elements for data extraction
  • Learn Python fundamentals, including variables, data types, conditionals, loops, and list manipulation
  • Use the Requests and Beautiful Soup libraries to perform web scraping and target specific content
  • Write loops to automate scraping across multiple web pages and streamline repetitive tasks
  • Store scraped data in various formats, including text files and CSVs, for analysis and reporting
  • Schedule Python scripts to run regularly, enabling continuous data collection and workflow automation
  • Clean and analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib and Plotly
  • Build interactive dashboards with Dash Enterprise
  • Make predictions with linear regression 
  • Apply machine learning algorithms and evaluate their performance
  • Learn how to write programs in Python to automate everyday tasks 

Enroll in an Upcoming Advanced Python Course

May 2025
May 10–June 14
Saturdays 10–5pm EDT
$1,895
30 Hours

Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

May 21–June 25
Wednesdays & Mondays 6–9pm EDT
$1,895
30 Hours

Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

May 27–June 19
Weekdays 10–5pm EDT
$3,495
96 Hours

Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.

June 2025
June 3
Tuesday 10–5pm EDT
$425
6 Hours

Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML/CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.

June 9–13
Monday to Friday 10–5pm EDT
$1,895
30 Hours

Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

June 21
Saturday 10–5pm EDT
$425
6 Hours

Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML/CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.

June 30 & July 2
Monday & Wednesday 6–9pm EDT
$425
6 Hours

Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML/CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.

July 2025
July 28–August 15
Weekdays 10–5pm EDT
$3,495
96 Hours

Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.

August 2025
August 4–8
Monday to Friday 10–5pm EDT
$1,895
30 Hours

Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

August 15
Friday 10–5pm EDT
$425
6 Hours

Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML/CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.

Showing 10 of 25 courses

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