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Machine Learning for Absolute Beginners - Level 2 (Udemy.com)

Learn the Python Fundamentals and Pandas Library for Data Science Projects

Created by: Wonder Ripple

Last updated October 2025

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What you will learn

  • Python for Data Science and Machine Learning Projects
  • Learn to use the Pandas Data Science Library
  • JupyterLab Development tool
  • Develop Jupyter Notebooks
  • Loading and Analysing Tabular Datasets
  • Selecting, Filtering, and Cleaning Data
  • Grouping, Sorting, and Exporting Data

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Quality Score

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Overall Score : 92 / 100

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Course Description

********* Feedback from Students ************
There's not much I can say. This instructor knows how to teach people, especially beginners. One of the best I've come across so far! Irlon T.

Excellent course, allows you to go step by step and get to know the bookcase, direct to the point thank you for such good teaching Jesus David

I am currently new in data science, I knew Python language and Competitive programming after that I was waiting to learn data science by myself. This course really very helpful for me to learn new things and data science and machine learning. I am really waiting for this new part (Level 3). Animesh K.

A fantastic course for getting the knowledge of pandas in depth along with ML applications. This is what I am searching for. It had better if it has some more quiz questions to test our skills and understanding. Enjoyed a lot. Anshika Verma

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Unleash the Power of ML

Machine Learning is one of the most exciting fields in the hi-tech industry, gaining momentum in various applications. Companies are looking for data scientists, data engineers, and ML experts to develop products, features, and projects that will help them unleash the power of machine learning. As a result, a data scientist is one of the top ten wanted jobs worldwide!

Machine Learning for Absolute Beginners

The “Machine Learning for Absolute Beginners” training program is designed for beginners looking to understand the theoretical side of machine learning and to enter the practical side of data science. The training is divided into multiple levels, and each level is covering a group of related topics for continuous step-by-step learning.

Level 2 - Python and Pandas

The second course, as part of the training program, aims to help you start your practical journey. You will learn the Python fundamentals and the amazing Pandas data science library, including:

  • Python syntax for developing data science projects

  • Using JupyterLab tool for Jupiter notebooks

  • Loading large datasets from files using Pandas

  • Perform data analysis and exploration

  • Perform data cleaning and transformation as a pre-processing step before moving into machine learning algorithms.

Each section has a summary exercise as well as a complete solution to practice new knowledge.

The Game just Started!

Enroll in the training program and start your journey to become a data scientist!

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Udemy Discount

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Instructor Details

Wonder Ripple

Welcome to Wonder Ripple.

We create engaging learning experiences that help people understand how to delegate real work to AI and get more done.

Our courses focus on practical AI-powered workflows that can support everyday work, business, productivity, research, planning, and decision-making. We turn emerging AI capabilities into clear, useful skills through simple explanations, practical examples, and step-by-step applications.

Wonder Ripple was founded by a group of engineers who believe that powerful technology should be understandable, approachable, and genuinely useful. Our approach combines structured thinking, practical problem-solving, and curiosity about how AI can change the way people work.

Every course is designed to help you move beyond simply talking to AI and start using it to research, organize, monitor, prepare, coordinate, and complete real-world tasks.

Developing Your AI-Powered Skills

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Reviews

4.6

3,026 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Ramesh Babu H on 5/17/2026

This is an excellent course which explains Python related fundamentals which will used to process the data in a large scale. Thanks to Idan for explaining at a very detailed level in a short period of time.

By Selcan Zorlu on 8/6/2025

This course is a good introduction to Python, but has nothing to do with machine learning. I believe the course title is quite misleading. I had previously taken the "Machine Learning Level 1" course and was interested in this one as a logical next step, assuming it would build upon that content. However, this course is purely about the basics of Python and doesn't cover any machine learning topics at all. That said, the instructor did a good job explaining Python fundamentals in a clear and accessible way. If you're looking for an introductory Python course, this might be a good fit. But if you're hoping to deepen your understanding of machine learning, this isn't the right course — and the title should be updated to reflect that.

By Demarko Little on 6/15/2025

After taking Machine Learning Level 1, it was a no-brainer for me to purchase Level 2. Everything from Level 1 came together perfectly. The material was excellent for helping me build a solid foundation.

By Penelope Lecain on 7/30/2024

Having the ability to have let the Machine replace redundant work and allowing me to be more productive. :) Some of the course is beyond of my current knowledge and only an introduction for me into what goes into the AI Framework and behind the scenes for my recourses. Hoping to gain more knowledge as we progress through.

By Anonymized User on 5/30/2024

In depth coverage of the Data Cleaning concepts which are the first steps for ML. Each concepts were clearly explained with examples. The exercise had a good hands on approach and a walkthrough of the concepts covered. Feeling quiet confident to go into advanced topics after Level 2.

By Bruno Cymek on 1/23/2024

I really enjoyed Idan's course because it is well-structured, and the training materials and exercises build upon each other seamlessly. It is also important that all exercises can be directly used in JupyterLab. I found pleasure in following Idan's explanations; I appreciate his calm and composed manner.

By Sergio Chekrygin on 1/8/2024

The course is great for ex-programmers who knows other programming languages but new to Python. Anaconda changed so I could not use it locally but I did all exercises in Anaconda cloud environment.

By Erik Berte on 11/14/2023

I find the course very informative and I'm learning a lot. I'm just finding the exercises too complicated based on the course material. It seems like it assumes you already have a good amount of programming knowledge. If I didn't have any past exposure to C++ and JavaScript (granted, years ago), I think I'd be completely lost.

By Animesh Kumar on 6/19/2020

I am currently new in data science, I knew Python language and Competitive programming after that I was waiting to learn data science by myself. This course really very helpful for me to learn new things and data science and machine learning. I am really waiting for this new part (Level 3).

By Anshika Verma on 6/17/2020

Fantastic course for getting the knowledge of pandas in depth along with ML applications. This is what i am searching for. It had better if it has some more quiz questions to test our skills and understanding. Enjoyed a lot.

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