Compare Python Classes

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

Key Information
Python for Data Science Bootcamp
Python Machine Learning Bootcamp
Python for Automation
$1,495 30 Hours
$1,895 30 Hours
$425 6 Hours
Overview
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
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.
Prerequisite
Open to Beginners
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.
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 27–June 2, Weekdays, 10–5pm
Other scheduling options Weekdays, saturdays, or evenings
View full 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
Certification
Receive a Certificate of Completion
Receive a Certificate of Completion
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Payment Plan See our payment plan FAQ for more details
Financing See our Climb Credit FAQ for more details
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
  • 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
What You’ll Learn
  • Learn Python fundamentals, including variables, data types, functions, loops, and control flow for building robust programs
  • Work with complex data structures like dictionaries and lists to efficiently organize and access data
  • Use NumPy and Pandas to import, clean, and manipulate datasets for analysis and exploration
  • Generate descriptive statistics and apply filtering, grouping, and pivoting techniques for deeper insights
  • Visualize data with Matplotlib and create clear, customized charts such as bar graphs, histograms, and scatter plots
  • Gain the practical skills needed to transition into machine learning with a solid understanding of data science workflows
  • 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

Enroll in an Upcoming 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 2
Weekdays 10–5pm EDT
$1,495
30 Hours

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

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 23–27
Monday to Friday 10–5pm EDT
$1,495
30 Hours

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

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 1
Monday to Friday 10–5pm EDT
$1,495
30 Hours

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

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.

Showing 10 of 27 courses

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