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Crash course: Data analytics in Python using Pandas

Let's get to grips with the Python Pandas library for data analytics / analysis
3.9
3.9/5
(355 reviews)
15,831 students
Created by

7.8

Classbaze Grade®

7.2

Freshness

6.9

Popularity

8.6

Material

Let's get to grips with the Python Pandas library for data analytics / analysis
Platform: Udemy
Video: 59m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

7.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

7.2 / 10
This course was last updated on 1/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

6.9 / 10
We analyzed factors such as the rating (3.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.6 / 10
Video Score: 7.7 / 10
The course includes 59m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 31 minutes of 1,582 Python courses on Udemy.
Detail Score: 8.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
2 resources.
0 exercise.
0 tests or quizzes.

In this page

About the course

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.
For this course, you’ll need some basic Python knowledge, which you can gain from my FREE No Nonsense Python course here on Udemy.
You will need to have Python installed and the Pandas library installed – which you can do using ‘pip install pandas’.

What can you learn from this course?

✓ Perform data analysis with the Pandas library
✓ Learn about dataframes and how to conduct data analysis in Python
✓ Understand how to handle missing values in your data
✓ Understand how to handle & clean up messy data

What you need to start the course?

• Basic Python – from my FREE No Nonsense Python Course
• The Pandas library should be installed – which you can do using ‘pip install python’
• Python should already be installed

Who is this course is made for?

• Beginner Python Developers
• Those interested in data analytics

Are there coupons or discounts for Crash course: Data analytics in Python using Pandas ? What is the current price?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Crash course: Data analytics in Python using Pandas course?

YES, Crash course: Data analytics in Python using Pandas has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Crash course: Data analytics in Python using Pandas course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who will teach this course? Can I trust Kieran Keene?

Kieran Keene has created 3 courses that got 1,104 reviews which are generally positive. Kieran Keene has taught 26,672 students and received a 4.5 average review out of 1,104 reviews. Depending on the information available, we think that Kieran Keene is an instructor that you can trust.
Data Engineer at Kodey
Hey guys! I am a data engineer by trade and specialize in Python, SQL, Spark, Hive, MongoDB and more. I’ve come on Udemy to try and make simple, short crash courses into these technologies as I personally find the longer courses too drawn out & I often lose interest. The idea is to keep it short and sharp!




For loads of advanced Spark, Python & Big Data topics, please visit my website (the button on this page will take you there) – where I talk about scaling up to enterprise grade solutions.

7.8

Classbaze Grade®

7.2

Freshness

6.9

Popularity

8.6

Material

Platform: Udemy
Video: 59m
Language: English
Next start: On Demand

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