Key Information	Python for Data Science Bootcamp	Python Machine Learning Bootcamp	SQL Bootcamp
	$1,495 30 Hours	$1,895 30 Hours	$975 18 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 to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
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.	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 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: May 20–22, Tuesday to Thursday, 10–5pm Other scheduling options Weekdays, saturdays, or evenings View full schedule
Certification	Receive a Certificate of Completion	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	Leaders interested in making better data-driven decisions and “knowing the numbers” Analysts looking to deepen their skillset beyond Excel and Tableau Developers who want to be more comfortable working with databases
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	Explore information stored in a database (tables, columns, rows, etc.) using the graphical interface of DBeaver (a popular free database app) Write SQL queries to retrieve data from tables in a database Combine information from multiple tables with JOIN statements Filter data, group it, and sort it to extract the specific info you need Advanced techniques like Subqueries, String Functions, and IF‑Else logic with CASE How to use Views and Functions with parameters instead of directly querying tables

Enroll in an Upcoming Data Science 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.
SQL Bootcamp May 20–22 Tuesday to Thursday 10–5pm EDT	$975 18 Hours	Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
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 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.
SQL Bootcamp June 9–11 Monday to Wednesday 10–5pm EDT	$975 18 Hours	Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
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.
July 2025
SQL Bootcamp July 23–25 Wednesday to Friday 10–5pm EDT	$975 18 Hours	Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
SQL Bootcamp July 26–August 9 Saturdays 10–5pm EDT	$975 18 Hours	Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
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.

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