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 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: 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: December 16–20, Monday to Friday, 10–5pm
Other scheduling options Weekdays, evenings, or saturdays
View full schedule
Next start date: December 21, Saturday, 10–5pm
Other scheduling options Saturdays, weekdays, 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
  • 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

July 2024
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.

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.

August 2024
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.

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
September 5
Thursday 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.

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.

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.

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.

September 28–November 2
Saturdays 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.

October 2024
October 7–11
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.

showing 10 of 22 courses

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