Data Wrangling in Pandas for Machine Learning Engineers – Udemy

(10 customer reviews)




What you’ll learn

  • You’ll learn data wrangling in Python.
  • You’ll be prepared for interview questions on data wrangling in Python.
  • Data wrangling is what machine learning engineers do around 70% of the time and the skills in this course will put you ahead of others in the real world.
  • You’ll be adept using the most important Python library for data wrangling.


The examples given and explanation provided by the instructor were great. He is entertaining as well as knowledgeable about the subject. – Prakash Shelke

Spectacular step by step instructions with great examples and labs. -Donato

Great course !!!!! You learn how to use the Pandas library for its own sake and not as a part of some courses devoted to other topics. -Giovanni De Angelis

The course is really impressive. Tons of information, and I learned a great deal. I had no Python background, and now I feel a lot more confident about working with Python than ever. Thanks for the course.  Austin

Honestly Mike your classes speak for themselves. They’re informative, concise and just really well put together. They’re exactly the kind of courses I look for. –Alex El

I have been a software engineer for more years than I care to admit. I found the presentation, speed and depth fit what I was looking for perfectly. I believe at this point I understand enough about Pandas so that I can move forward with this branch of learning. – Danny

Course Description 

Welcome to Data Wrangling in Pandas for Machine Learning Engineers

This is the second course in a series designed to prepare you for becoming a machine learning engineer.

I’ll keep this updated and list only the courses that are live.  Here is a list of the courses that can be taken right now.  Please take them in order. The knowledge builds from course to course. 

  • The Complete Python Course for Machine Learning Engineers 

  • Data Wrangling in Pandas for Machine Learning Engineers (This one) 

  • Data Visualization in Python for Machine Learning Engineers

Learn the single most important skill for the machine learning engineer: Data Wrangling

  • A complete understanding of data wrangling vernacular.

  • Pandas from A-Z. 

  • The ability to completely cleanse a tabular data set in Pandas. 

  • Lab integrated. Please don’t just watch. Learning is an interactive event.  Go over every lab in detail. 

  • Real world Interviews Questions.

The knowledge builds from course to course in a serial nature. Without the first course many students might struggle with this one. Thank you. 

Many new to machine learning believe machine learning engineers spend their days building deep
neural models
in Keras or SciKit-Learn. I hate to be the bearer of bad news but that isn’t the case.

A recent study from Kaggle determined that 80% of time data scientists and machine learning engineers
spend their time cleaning data. The term used for cleaning data in data science circles is called data wrangling.  

In this course we are going to learn Pandas using a lab integrated approach. Programming is something you have to do in
order to master it. You can’t read about Python and expect to learn it. 

Pandas is the single most important library for data wrangling in Python

Data wrangling is the process of programmatically transforming data into a format that makes it easier to work with. 

This might mean modifying all of the values in a given column in a certain way, or merging multiple columns together. The necessity for data wrangling is often a byproduct of poorly collected or presented data. 

In the real world data is messy. Very rarely do you have nicely cleansed data sets to point your supervised models against. 

Keep in mind that 99% of all applied machine learning (real world machine learning) is supervised. That simply means models need really clean, nicely formatted data.  Bad data in means bad model results out. 

                                                           **Five Reasons to Take this Course**

1) You Want to be a Machine Learning Engineer

It’s one of the most sought after careers in the world. The growth potential career wise is second to none. You want the freedom to move anywhere you’d like. You want to be compensated for your efforts. You want to be able to work remotely. The list of benefits goes on. Without a solid understanding of data wrangling in Python you’ll have a hard time of securing a position as a machine learning engineer. 

2) Most of Machine Learning is Data Wrangling 

If you’re new to this space the one thing many won’t tell you is that much of the job of the data scientist and the machine learning engineer is massaging dirty data into a state where it can be modeled. In the real world data is dirty and before you can build accurate machine learning models you have to clean it. This process is called data wrangling and without this skills set you’ll never get a job as a machine learning engineer.  This course will give you the fundamentals you need to cleanse your data. 

3) The Growth of Data is Insane 

Ninety percent of all the world’s data has been created in the last two years. Business around the world generate approximately 450 billion transactions a day. The amount of data collected by all organizations is approximately 2.5 exabytes a day. That number doubles every month.  Almost all real world machine learning is supervised. That means you point your machine learning models at clean tabular data. Python has libraries that are specific to data cleansing. 

4) Machine Learning in Plain English

Machine learning is one of the hottest careers on the planet and understanding the basics is required to attaining a job as a data engineer.  Google expects data engineers and their machine learning engineers to be able to build machine learning models. 

5) You want to be ahead of the Curve 

The data engineer and machine learning engineer roles are fairly new.  While you’re learning, building your skills and becoming certified you are also the first to be part of this burgeoning field.  You know that the first to be certified means the first to be hired and first to receive the top compensation package. 

Thanks for interest in Data Wrangling in Pandas for Machine Learning Engineers

See you in the course!!

Who this course is for:

  • If you’re interested in becoming a machine learning engineer then this course is for you.
  • If you’re interested in becoming a data engineer then this course is for you.
  • If you’re a professional in any discipline that needs to become adept at data wrangling then this course is for you.

Course content

  • Introduction
  • Pandas Dataframe Basics
  • Pandas data structures
  • Introduction to Plotting
  • Data Assembly
  • Missing Data
  • Time Series Data

10 reviews for Data Wrangling in Pandas for Machine Learning Engineers – 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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