The demand for data engineers is greater than ever. So, there is no better time to upskill; learn Python and specifically data engineering.

I’ll take you through the core concepts of dataframes, which are a key data structure within Pandas. We’ll learn to ingest, clean and analyse the data and by the end of the course, you’ll be in a position to use Python & Pandas on your own data to extract valuable insight.

The idea isn’t to become an expert through this course. The idea is to become confident in the core concepts of Python and Pandas so you can solve real-world problems today and so you can continue your learning by doing.

Because, nobody becomes an expert through taking a course (no matter how long they are), you only truly become an expert by getting out there & solving problems.

You will need to have Python installed and the Pandas library installed – which you can do using ‘pip install pandas’.

The dataset for the project can be downloaded here.

To take this course, you must be a member.

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What our students think

Rating: 5 out of 5.

This is an excellent introductory course on using Pandas for Data Analytics. It covers the essentials of Pandas required to start data analytics in a short time.

For instance, it teaches how to extract data from a CSV file, basic data cleaning, inspecting data, describing and summarizing data using summary statistics, filtering and ranking data, and storing data frames in a new CSV or excel file.

It also provides two small projects to apply all the basic concepts.

I recommend it to beginner Python programmers who are looking to learn the basics of data analytics in Python using Pandas quickly. This course will pave the way to learn intermediate to advance data analytics in Python using Pandas.

Rating: 5 out of 5.

I loved this course. It was worth every cent. In fact knowing what I know now, I would have paid more. It was super easy thorough and not the least bit boring. I learned a lot and will definitely take more of this Instructor’s courses. A co-worker told me it took him a year to learn Pandas, so I’ve been scared to learn it. Now, I learnt Pandas in 1 hour – yah!! Excellent course!! What I loved most is that you repeated the steps. Most Udemy Instructors feel that if they tell you once that’s enough. I didn’t have to go back and rewind. Again, I loved this course. Thank you

Rating: 4.5 out of 5.

Very short and concise course which will get you on your way to learning pandas and data analytics. I own a Data analytics Udemy course which is 20+ hrs long. I have not gotten around to starting it due to the length. This one is 1 hr course, which gives you a small taste of the delicacies that await you. I have already bought the book recommended here and started reading up and analysing data from work. Thank you.

Rating: 5 out of 5.

Yes, definately a Awesome match. I would like to learn more as it was precise and compact.

I would love more videos like this, it would be great if you provide such practice videos for people like us who want to practice data science or guide us where we can get short challenges as you provided in the video.

I would rate the person 5/5

Rating: 5 out of 5.

This is a well-crafted course. I’ve been watching courses on Pandas with longer timeframes and had trouble digesting the info. This course made learning Pandas much easier. Will definitely watch the other courses the instructor has to offer. Highly recommended! 🙂

Rating: 5 out of 5.

This course is a very good place to start with Pandas. The examples given were very clear and understandable. The author has done a very good job of making sure that the course would be easy to understand for beginners in Pandas.

Rating: 5 out of 5.

I liked the speed and brevity of this course. It gives you the basic building blocks to understand Pandas and working with data in Python.

Rating: 5 out of 5.

Wow the most amazing crash course, helped me get in to business straight away rather than wasting time on lengthy theories. I will recommend this course to anyone wants to get their hand dirty and start making difference