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Class time and plan

“In this class we’ll learn some basic python and then branch out into the wide world of machine learning, data exploration and visualization. No prior programming experience necessary!”

Benjamin Cohen

Ben is a CS/Computational Linguistics graduate, ex-Google intern, and python fanatic. In his past academic life his was in a deep learning lab studying character recognition, and a Natural Language Processing lab studying how to automate diagnosis of certain neurodegenerative diseases. Nowadays, he spends his days working as a data scientist, and his nights exploring data his finds online, learning new programming languages, and brewing beer.

Codementor Python Class - Schedule Your Classes!

Who is this class for?

This is a class for anyone who wants to get a foundation in python, machine learning and data science. We’re going to learn how to express ideas in python, use popular machine learning frameworks, acquire, maintain, and clean data, and interpret machine learning predictions.

What will you learn?

By the end of the class, you’ll be able to: Code in python; Acquire, store, and process datasets; Understand a few of the most popular machine learning models; Know how to use popular machine learning packages; and Make visualizations of your data.

Codementor Python Class: Syllabus

Lesson 1

Intro to Python

In this lesson, we’ll take a dive into the python programming language.  We’ll talk about basic data types (lists, strings, integers), and data flow mechanisms (for loops, if statements).  By the end of this lesson, we’ll be able to start solving basic problems with code!


Lesson 2

More Python

In this lesson, we’ll explore some more advanced python features such as dictionaries, functions, and files.  We’ll also start to talk about what machine learning is, and some fundamental concepts related to data analysis.

Lesson 3

Intro to Machine Learning

In this lesson, we’ll learn about some specific machine learning models, and use Scikit Learn to build, train, and evaluate them on a real world dataset.

Lesson 4

More Machine Learning and Visualization

In this lesson, we’ll continue focusing on training and improving machine learning models, and also chat about how to visualize, explain, and evaluate our models.

You Will Get

Learn Python at Your Pace

Need to pause and think through a concept before moving forward? Go through the classes at your own pace and learn the core concept of Python!

Hands-on Exercises

Get practical coding experience through hands-on projects.

Unlimited Access to All Videos

Didn't get the concept fully the first time? You can watch and review all prerecorded classes as many time as you'd like, whenever you'd like.

Frequently Asked Questions

How is this different from other courses?

For only $69, you’ll get unlimited access to prerecorded Python courses for beginners. This includes 4 prerecorded classes, 8 hours of Python courses and hands-on exercises. Enroll to this class and schedule your own class time. Make your learning much easier by doing it at your pace.

What is the class structure?

You will have access to 4 prerecorded classes, which will ALL be available once you enroll. Each prerecorded class is around 2 hour long. You will get to code along the recordings at your own pace and able to check back on them whenever you like!

What time are the classes?

The prerecorded classes will be released all at once upon enrollment and will be available indefinitely. You can schedule your time the way you like and even go back to review ALL 4 classes any time!

What do I need to know before the class?

This is for people how are interested in getting into Machine Learning and Data Science. No prior Python programming experience necessary, but prior knowledge of programming will be useful.

Class Enrollment Starts Soon

Space is Limited - Reserve Your Seat Now!

This is a prerecorded beginner Python class.
Not a beginner? Check out our intermediate class here.

Questions? We're here to help!

Have questions about this live class or Codementor in general? Our team is here to help!

Class time and plan