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Compare Beginner Python Classes

Which Beginner Python course is right for you? This tool allows you to compare our Beginner Python courses with the important information you need to make the right decision.

Key Information
Python for Data Science Bootcamp
Intro to Python Programming
Python Data Science & Machine Learning Bootcamp
$1,495 30 Hours
$895 12 Hours
$3,495 96 Hours
Overview
Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.
This Python course is designed for students to learn to code from scratch and become comfortable with programming in Python. Students will learn the syntax, principles, and thought processes that programming entails.
Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib. Use machine learning to apply regressions and other statistical analyses to create predictive models. Create dynamic dashboards and other data visualizations.
Prerequisite
Open to Beginners
Open to Beginners
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: April 3–May 10, Mondays & Wednesdays, 6–9pm, except Apr 5, Apr 19
Other scheduling options Weeknights, weekdays, or weekends
View full schedule
Next start date: June 12–13, Monday to Tuesday, 10–5pm
Other scheduling options Weekdays, weeknights, or weekends
View full schedule
Next start date: Apr 3–Aug 2, Weeknights
Other scheduling options: Weeknights, weekdays, or weekends
View full schedule
Certification
Receive a Certificate of Completion
Receive a Certificate of Completion
New York-licensed Certificate Program
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates & packages only)
N/A
N/A
  • 30 HoursPython for Data Science Bootcamp
  • 30 HoursPython Machine Learning Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Data Visualization & Interactive Dashboards
Payment Plan See our payment plan FAQ for more details
This program is eligible for our “pay-as-you-go” payment plan.
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
Anyone

The Python Data Science & Machine Learning Bootcamp is best suited for:

  • Anyone who wants to learn Python, machine learning, and data visualization skills
  • Analysts who work with other data tools looking to transition to Python
  • Developers looking to broaden their skill set by learning data science and Python
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
  • Learn how to operate using a text editor and terminal.
  • Learn how to write your own Python code that will be able to iterate over data sets.
  • Understand how to think like a programmer and become comfortable with Python’s syntax.
  • Create code to solve every-day real-life problems.
  • Learn how to write complex programs using Python.
  • Learn how computers execute programs.
  • Clean and analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib and Plotly
  • Build interactive dashboards with Dash Enterprise
  • Make predictions with linear regression 
  • Apply machine learning algorithms and evaluate their performance
  • Learn how to write programs in Python to automate everyday tasks 

Enroll in an Upcoming Beginner Python Course

April 2023
April 3–May 10
Mondays & Wednesdays 6–9pm EDT
$1,495
30 Hours

Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

April 3–August 2
Weeknights 6–9pm EDT
$3,495
96 Hours

Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib. Use machine learning to apply regressions and other statistical analyses to create predictive models. Create dynamic dashboards and other data visualizations.

June 2023
June 12–16
Monday to Friday 10–5pm EDT
$1,495
30 Hours

Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

June 12–13
Monday to Tuesday 10–5pm EDT
$895
12 Hours

This Python course is designed for students to learn to code from scratch and become comfortable with programming in Python. Students will learn the syntax, principles, and thought processes that programming entails.

June 12–July 11
Weekdays 10–5pm EDT
$3,495
96 Hours

Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib. Use machine learning to apply regressions and other statistical analyses to create predictive models. Create dynamic dashboards and other data visualizations.

July 2023
July 17–21
Monday to Friday 10–5pm EDT
$1,495
30 Hours

Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

July 17–18
Monday to Tuesday 10–5pm EDT
$895
12 Hours

This Python course is designed for students to learn to code from scratch and become comfortable with programming in Python. Students will learn the syntax, principles, and thought processes that programming entails.

July 17–August 15
Weekdays 10–5pm EDT
$3,495
96 Hours

Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib. Use machine learning to apply regressions and other statistical analyses to create predictive models. Create dynamic dashboards and other data visualizations.

August 2023
August 28–October 4
Mondays & Wednesdays 6–9pm EDT
$1,495
30 Hours

Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.

August 28–September 11
Mondays & Wednesdays 6–9pm EDT
$895
12 Hours

This Python course is designed for students to learn to code from scratch and become comfortable with programming in Python. Students will learn the syntax, principles, and thought processes that programming entails.

showing 10 of 16 courses

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