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
	Learn More	Learn More	Learn More
	Download Syllabus	Download Syllabus	Download Syllabus

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: June 9–13, Monday to Friday, 10–5pm Other scheduling options Weekdays, evenings, or saturdays 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
1:1 Bonus Training See all courses that offer 1–on–1 Bonus training
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
Python Machine Learning Bootcamp 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.
Python Machine Learning Bootcamp 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.
Python for Data Science Bootcamp 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
Python for Automation 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.
Python Machine Learning Bootcamp 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.
Python for Automation 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.
Python for Data Science Bootcamp 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.
Python for Automation 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
Python for Data Science Bootcamp 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
Python Machine Learning Bootcamp 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.

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