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: December 23–January 29, Mondays & Wednesdays, 6–9pm, except Dec 25, Jan 1 Other scheduling options Evenings, weekdays, or saturdays View full schedule	Next start date: February 3–7, Monday to Friday, 10–5pm Other scheduling options Weekdays, evenings, or saturdays View full schedule	Next start date: January 21–23, 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	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 Reuse and simplify code with object-oriented programming Analyze tabular data with Numpy and Pandas Create graphs and visualizations with Matplotlib Make predictions with linear regression, using scikit-learn	How to clean and balance your data using the Pandas library Applying machine learning algorithms such as logistic regression and random forest using the scikit-learn library Choosing good features to use as input for your algorithms Properly splitting data into training, test and cross-validation sets Important theoretical concepts like overfitting, variance and bias Evaluating the performance of your machine learning models	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

July 2024
Python Machine Learning Bootcamp July 8–12 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 Data Science Bootcamp July 15–19 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.
SQL Bootcamp July 25–August 13 Thursdays & Tuesdays 6–9pm 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.
August 2024
SQL Bootcamp August 12–14 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 August 15–September 17 Thursdays & Tuesdays 6–9pm 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 Data Science Bootcamp August 19–23 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.
September 2024
SQL Bootcamp September 7–21 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 Machine Learning Bootcamp September 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 Data Science Bootcamp September 16–20 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 Machine Learning Bootcamp September 19–October 24 Thursdays & Tuesdays 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.

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