Checklist
Certification
You will get a certificate on completing this course.
University
This course is not affiliated with any university.
Price
This course is costly - Rs. 5316/-.
Difficulty
62% of the students have found this course difficult.
Content
68% of the students have liked the content of this course.
Assignments
64% of the students have liked the assignments of this course.
Teaching
84% of the students have liked how the instructor has taught this course.
Satisfaction
86% of the students are overall satisfied with this course.
Edvicer's Rewards
You can get a cashback of ₹ 200 on buying this course.
Introduction to Computer Science and Programming Using Python
Introduction to Computer Science and Programming Using Python
For Rs. 5316
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Save your money with Edvicer. Check out our premium courses with discount offers.
Limited Time Discount Offers
Save your money with Edvicer. Check out our premium courses with discount offers.
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.
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
This course is not affiliated with any university.
Price
This course is costly - Rs. 5316/-.
Difficulty
62% of the students have found this course difficult.
Content
68% of the students have liked the content of this course.
Assignments
64% of the students have liked the assignments of this course.
Teaching
84% of the students have liked how the instructor has taught this course.
Satisfaction
86% of the students are overall satisfied with this course.
Edvicer's Rewards
You can get a cashback of ₹ 200 on buying this course.
Why should you choose this course?
Description
This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. This run features lecture videos, lecture exercises, and problem sets using Python 3.5. Even if you previously took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses, or enroll now to refresh your learning. Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. That said, they are not computation appreciation" courses. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will."
Syllabus
A Notion of computation
The Python programming language
Some simple algorithms
Testing and debugging
An informal introduction to algorithmic complexity
Data structures
What others say about this course
Reviews from Class Central
"> <p class="p1">This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Togeth Read More ...
"> The course is a great intro to CS and provides problems that are of an appropriate difficulty but are still challenging. The course does teach using getters and setters in Python, which is frowne Read More ...
"> I was impressed by everything: quality of videos, test questions and the interactive grading system - all far better than the average class room experience. A lot of work has been done to use the Read More ...
"> This is an excellent course although it is difficult but very satisfying to complete. The videos are sometimes are a little slow and not as engaging as other courses however the content is amazin Read More ...
"> Really good course. Recommend! It's not a programming language course. Instead, it is a very good intro course for computer science. The assignments or problem sets are really good. I can see the 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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