Beginner’s Guide to Python Data Analysis & Visualization – Udemy

(10 customer reviews)




What you’ll learn

  • Experienced with N-dimensional array, Series, and DataFrame
  • Perform data analysis with Python 3
  • Be very confident when using Pandas and Numpy
  • Gain extensive knowledge of how pandas works

==> Become a Data scientist!

==> Make astonishing graphics!

This is the most comprehensive, yet straightforward, course for learning Python data science on Udemy! Whether you have never touched data science before, need a refresh on Pandas basics, or want to learn about the advanced features of Pandas, THIS COURSE IS FOR YOU!

If you never touched Python before, there is a Python crush section to get you started in 30 minutes! If you knew Python, use it to brush up your knowledge!

There are a lot of highlight points in this course. Paricularly, you will learn HOW TO:

  • Perform Linear Regression Analysis
  • Understand Linear Regression Analysis result
  • Pandas series creation, selection, and other operations.
  • Import CSV data
  • Import Excel data
  • Transform your array
  • Select part of your data by column, row, or even condition!
  • Rename your columns
  • Change your index
  • Delete columns
  • Insert columns
  • Make pie plots, scatter plots, series plots, heat-maps, and histograms!
  • Numpy arrays
  • Perform array indexing, slicing, and iterating.
  • Generate descriptive statistics.


In addition to the Udemy 30-day money back gurantee, you have my personal gurantee that you will love what you learn in this course. If you ever have any questions, please don’t hesitate to post it in the course discussion board or message us directly. We will do our best to get back to you as soon as possible!

Jobs in data analysis, especially financial analysis, are pletiful. And because of the imense extensibility, python is growing to be the most popular data science tool! Pandas is the solely most important library you should know to perform analysis! This course will walk you through the very origin or Pandas and show you step-by-step, how Pandas is designed and used! Being able to use Pandas will give you strong background to dive depper into data analysis faithfully!

Is it too much to spend a few hours to add a critical skill on your resume? So what are you waiting for? Learn Pandas in a way that will advance your career and increase your knowledge!

What are you waiting for? This course won’t stay at this price forever, click “Take this course” now and embark your amazing journal today!

See you in the course!

— Alan Yue

Who this course is for:

  • Anyone interested in data science
  • Anyone interested in learning python, pandas, numpy
  • Anyone curious about this world, about all the information flowing around us.

Course content

  • Prepare the environment
  • Python Basics
  • Numpy Array
  • Pandas Series
  • Pandas Dataframe – Import and Selection
  • Pandas Dataframe – Manipulation
  • Data Visualization
  • Regression Analysis

10 reviews for Beginner’s Guide to Python Data Analysis & Visualization – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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