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Certification

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University

The course is from one of the top universities of the world - University of Michigan.

Price

This course is costly - Rs. 4197/-.

Difficulty

66% of the students have found this course difficult.

Content

84% of the students have liked the content of this course.

Assignments

74% of the students have liked the assignments of this course.

Teaching

82% of the students have liked how the instructor has taught this course.

Satisfaction

84% of the students are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 300 on buying this course.

Applied Plotting, Charting & Data Representation in Python

Applied Plotting, Charting & Data Representation in Python

FREE (Audit)
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18 hours
English
University of Michigan
Course by
CourseraCourses from Coursera
Certificate awarded
For Rs. 4197
Intermediate
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Map your Career

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Map your Career

Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.

Checklist

Certification

You will get a certificate on completing this course.

University

The course is from one of the top universities of the world - University of Michigan.

Price

This course is costly - Rs. 4197/-.

Difficulty

66% of the students have found this course difficult.

Content

84% of the students have liked the content of this course.

Assignments

74% of the students have liked the assignments of this course.

Teaching

82% of the students have liked how the instructor has taught this course.

Satisfaction

84% of the students are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 300 on buying this course.

Why should you choose this course?

Description

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.

Syllabus

Module 1: Principles of Information Visualization
Module 2: Basic Charting
Module 3: Charting Fundamentals
Module 4: Applied Visualizations

What others say about this course

Reviews from Coursera

The course can be summarized as: "OK, here are some tools that can be used: now read the documentation, Stack Overflow and some papers that we give you links to". Each week there are just few videos. W  Read More ...

I don't think the tutorials walk us through what we are supposed to do. I find myself on youtube watching free tutorials on the very subjects I am paying to learn.

This is an interesting course, but the professor really does not spend enough time teaching the topic. It's like as if he expects that giving us a very high level overview on a subject (e.g., "These ar  Read More ...

The grading by peers system coupled with the unlocking next week lesson is really aweful. I can't change to previous session event though I worked through the first lesson fast. Everyone has the same i  Read More ...

The lectures are overloaded with too much information, and the concepts are presented in a complicated way. I wish the courses in this specialization were self sufficient. It just does not feel like I   Read More ...

Show more reviews

FAQs

How to learn Python?

You can start with a basic Python course which covers everything in Python on a basic level like Complete Python Bootcamp: Go from zero to hero in Python 3 by Udemy. This can be followed by an advanced course in the fields you are interested in like Python Data Structures by Coursera for competitive programming, Applied Data Science with Python by Coursera for Machine Learning and Data Science.

Why learn Python?

Python is one of the fastest-growing programming languages right now. It is especially used for data science and machine learning endeavors. At present, there are more than a few opportunities for Python developers. Besides, it is very easy to learn.

Is Python a good language to learn first?

Yes. It is designed with simplicity in mind. The language has a smaller learning curve and supports a pseudo-English-like syntax. Hence, getting started with Python is ideal for anyone looking to embark on the programming journey.

Where can I learn Python?

There are so many places to learn Python. Popular choices include YouTube, Coursera, Udemy, and Pluralsight. You can get all the courses from these providers and more here on Edvicer. There are several great novice Python courses available that will help you build an ample understanding of the language and starting with the same. Also, there is no shortage of advanced Python courses.

How long does it take to learn Python?

Any programming language has two aspects; the syntax, and the library. While the former might require only a few days to learn, the latter is a life-long learning task. However, you can get started with Python professionally after 6 to 7 months of dedicated practice.

What are the top jobs that I can get from learning Python?

The top job profiles for Python developers are Analytics Specialist with an average salary of INR 15 LPA, Analytics Manager with an average salary of INR 19 LPA, and Machine Learning Engineer with an average salary of INR 10.38 LPA. Get your career map for your skills here.

What should I learn; Python or JavaScript?

Learning to choose among Python and JavaScript depends on the purpose you're learning them for. If you want to involve in data science and machine learning then Python is the ideal pick while JS is the go-to option when looking forward to web development. If you wish to simply learn one of them in order to get started with programming then Python might be the best bet. This is because it is beginner-friendly. JavaScript is not an easy programming language. Nonetheless, learning both gives better career advantages.

Can I learn Python without a programming background?

Yes, you can learn Python even without a programming background. However, it is surely a good thing if you first learn the basic programming terminology.

How long does it take to learn Django and Python?

Learning Python and Django are a never-ending process. However, to reach a level of being able to work with both Python and Django, at least 6 months are required.

Can I learn Python on my own?

Yes, definitely. You need to simply learn new Python concepts and then practice them to know better. Going through YouTube video lessons and the best Python tutorials might also help while self-learning Python.

What can I learn after learning Python?

After learning Python, the top skills you can learn to open highest number of job profiles for you are MySql, Data Analytics, and Web Analytics. The top skills that can get you jobs with highest salaries are Spring Boot,SAP, and Spring

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