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 Intro to Python Programming Bootcamp or Python for Data Science Bootcamp courses.
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 20–29, Monday to Wednesday, 10–5pm, except May 27 Other scheduling options Weekdays, evenings, or saturdays View full schedule	Next start date: June 10–July 17, Mondays & Wednesdays, 6–9pm, except Jun 19, Jul 3 Other scheduling options Evenings, saturdays, or weekdays View full schedule	Next start date: May 4, Saturday, 10–5pm Other scheduling options Saturdays, evenings, or weekdays 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 Leif 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	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	The syntax of Python and how to construct programs How to run your programs on a regular schedule Identify and correct common errors How to write scripts that automate manual tasks How to update Excel files automatically using Python

Enroll in an Upcoming Python Course

November 2023
Python for Automation November 18 Saturday 10–5pm EST	$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 November 27–December 1 Monday to Friday 10–5pm EST	$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 November 27–January 3 Mondays & Wednesdays 6–9pm EST	$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.
December 2023
Python for Automation December 4 Monday 10–5pm EST	$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 December 13–20 Wednesday to Tuesday 10–5pm EST	$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.
January 2024
Python for Data Science Bootcamp January 3–9 Wednesday to Tuesday 10–5pm EST	$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 January 16–February 15 Tuesdays & Thursdays 6–9pm EST	$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 January 20–February 24 Saturdays 10–5pm EST	$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 January 22–26 Monday to Friday 10–5pm EST	$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.
February 2024
Python for Automation February 6 Tuesday 10–5pm EST	$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.

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