Data Manipulation in Python: Master Python, Numpy & Pandas (Udemy.com)
Learn Python, NumPy & Pandas for Data Science: Master essential data manipulation for data science in python
Created by: Meta Brains
Last updated January 2024
What you will learn
- Learn to use Pandas for Data Analysis
- Learn to work with numerical data in Python
- Learn statistics and math with Python
- Learn how to code in Jupyter Notebook
- Learn how to install packages in Python
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.4 out of 5higher than 28% of them
- Reviews2,728#80 of 462 by number of reviews
- Length3.8 hoursshorter than 74% of them
- Last updatedJanuary 2024earlier than 75% of them
Course Description
When it comes to being attractive, data scientists are already there. In a highly competitive job market, it is tough to keep them after they have been hired. People with a unique mix of scientific training, computer expertise, and analytical abilities are hard to find.
Like the Wall Street "quants" of the 1980s and 1990s, modern-day data scientists are expected to have a similar skill set. People with a background in physics and mathematics flocked to investment banks and hedge funds in those days because they could come up with novel algorithms and data methods.
That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.
The supply, on the other hand, has been quite restricted. It is challenging to get the knowledge and abilities required to be recruited as a data scientist.
Lots of resources for learning Python are available online. Because of this, students frequently get overwhelmed by Python's high learning curve.
It's a whole new ball game in here! Step-by-step instruction is the hallmark of this course. Throughout each subsequent lesson, we continue to build on what we've previously learned. Our goal is to equip you with all the tools and skills you need to master Python, Numpy & Pandas.
You'll walk away from each video with a fresh idea that you can put to use right away!
All skill levels are welcome in this course, and even if you have no prior programming or statistical experience, you will be able to succeed!
Instructor Details
- 4.4 Rating
2,728 Reviews
Meta Brains
Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for Coding, Finance & Excel.
We bring together both professional and educational experiences to create world-class training programs accessible to everyone.
Currently, we're focused on the next great revolution in computing: The Metaverse. Our ultimate objective is to train the next generation of talent so we can code & build the metaverse together!
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Reviews
By Ahmed Hassan on 10/12/2025
amazing course a brief intro to python that collect how to walk through programming very happy with the course focused on point :)
By Lucio Rodríguez on 7/22/2024
this course was useful to refresh statistical and Pandas-related knowledges, the tutor was precise and clear during each explanation, I'm glad and fulfliied I took it.
By Prasad Mamidi on 7/15/2024
Nice explanation, if you are a beginner this course provides you a quick overview of working with pandas and numpy library. One of the great thing about this course is you will get very quick and all over understanding of the EDA , along with that you will learn how handle the outliers...!
By Omar Malik on 6/2/2024
As a beginner to Python and Data Analysis, the course provided good fundamental coverage of the relevant topics. Unfortunately, the examples worked through, and opportunities to practice, were limited in scope, so I'm not sure how much information I've actually absorbed! The narrator came across clearly and was easy to understand, but some of those frequently used mispronounced words began to irritate!
By Andre Silva on 8/7/2023
This is the first Udemy course I completed 100%, so thanks for this material. I particularly enjoyed how the system is set up with a quick review of some Python concepts, and then some dive into some new material. With that being said, this is an introductory course that can be fused as a starting point. I would advise starting from here if you are new to this and moving on to something more challenging after you finish.
By Mateusz Falkus on 7/1/2023
It was a decent introductory course, though it was only grazing the topics - a more in-depth look in most of the topics is required if one is to make the knowledgle useful. Also, the speaker was not very good - he did not understand the topic and was simply reading the script. Decent for a complete beginer to the field, completely useless for someone with even a bit of practice.
By Luis Eduardo Fernández Avila on 9/26/2022
Thank you very much Meta Brains, it is an incredible course, it gives you the basic and necessary knowledge to start learning data science, all the chapters are very well explained. The methods, tips and Python functions used are very useful. I would like you to make a continuation to continue learning how to use Pandas and Numpy.
By Eunice Cheng on 6/10/2022
I think the course is for the absolute beginner that has no background in Python. It is a great course to solidify the basic knowledge for those who already know the basics of python, NumPy, and pandas. I found it useful to recap on knowledge of those libraries. The lesson can be improved by having a final quiz that accumulates questions from all lessons as a checkpoint for understanding. The current quizzes are too simple.
By Sumit Sarda on 5/18/2022
It was a great course if you want to know all about Pandas, Numpy, Matplotlib, and seaborn. Highly recommend to a beginner
By Prem Prakash on 5/2/2022
I am reviewing this after watching all videos. Content wise it was very good. First two modules about Numpy and Panda were nicely explained. The quality of course decreases after Matplotlib. Seaborn was worse; I didn’t get much so there are five modules or five topics where I am not satisfied with two of them so my rating is 4.5. Cause there is no any course material. (Meaning course data which is in the video) that I can use to get better understanding. Thank you for nice informative course. Numpy – Nice Panda – Nice Matplotlib – Good Seaborn – somewhat good but not sure Other - Nicely explain and need course data
Quality Score
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Overall Score : 88 / 100












