Scott Rixner
This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We’ll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python’s support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.
Instructor Details
Courses : 6
Specification: Python Data Analysis
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50 reviews for Python Data Analysis
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 13 hours |
| Year | 2017 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
Edwin R –
I just dislike coding
Eduardo P –
Final project is way more difficult than what they explain in the course. Final project is not only difficult and long but also due to the amount of extra files and lack of explanation on how to start is very frustrating. Some concepts like “list comprenhentions” are used by instructors in the course, but not explained and instructor just adviced to go to Python.org and learn it there.
Tristan D H –
A challenging, but well constructed sequel to the rest of the sequence.
Sangil Y –
good !
Yue Z –
Good course! I am a beginner and I learned a lot through this course.
Humberto O –
Definitely more challenging than the previous, but if you want to be serious about scripting in Python, very few other courses will get you there than this one. A little too focused on reading csv files than I wanted, but even then, I was provided with enough challenges working with dictionaries, lists, all the while learning new Python skills (lambda functions, list comprehensions, etc.) that I can’t really give it anything below 5 stars.
Chujie C –
Finished on 03/11/2018
David P –
The instructors use very clear language and explains in a details level that is possible to everyone that has a minimum of computing science knowledge to learn Python.
liping –
{for me : very helpful!}
Shan G –
The Mentor is very helpful
Arvydas K –
This was more challenging then previous two
Arjit Y –
Great teachers I must say! Learned many new things and cool teachers!
Dheeraj R –
It’s fantastic learning opportunity, well taught, covered almost everything.Baseball project is cherry on the cake.
Akshay K J –
For foundation part to data analysis and concerning about it help me in the basic understanding. Though with the pandas library make it simple that is some sort of drawback I find. But it make my concept clear. Thanks for the python Data Analysis course by Rice university.
Jose D –
De mucha utilidad, permite ver la gran variedad de funciones que dispone Python.
Felix O –
Really made me to work hard.
Abdul W –
Excellent…
Jatinderpal P –
This is an excellent program. I have written most complicated and exciting Python programs, I have ever thought that I could write!
Gabriel F –
Really good stuff.
Jingxiong L –
Really good lecturing and real stuff learned!
Biao Y –
The reading and writing file csv file part is difficult, especially reading data into dictionary part.
Fil G –
The material is taught in a straightforward and easily accessible manner which can lull you into thinking that this is easy, but it is not. The final assignment and optional programming exercise in the last week will really force you to dig deep to put it all together. Everything you need is right there in the lecture notes you just have to be willing to listen. Great course.
Robert L –
Very good online course!
Moustafa E E M M N –
the assignments are not clearly illustrated to us. it is very difficult to understand what is required to be done . even it you code it, it is still hard to understand what is to be done.
Farhodjon A –
Cool Thanks))
Nicholas S –
I really liked the course, thank you so much! One thing though, when checking your code via OwlTest, and the Pylint errors that pops up, consider removing the check with mixed EOL characters (CRLF / LF). At least on my system I could not fix this Pylint error on Windows. I had to re–save the file in UNIX (DOS–format).
Abdurahmonov A –
Thanks for materials and course!!!
Jacob G –
Instructions on the final were not as clear as the rest of the course, but the information given is worthwhile
vivek –
Course was excellent . Loved learning it
Joanne H P C –
Important concepts covered – including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.
Bradley S –
Overly simplistic lessons and quizzes followed by brutal projects that require you to teach yourself techniques not covered in the lessons. Now I don’t feel like I’ve learned anything because I’ve just had to trial–error my way through half the code. What worked, what didn’t work? I can’t remember…
Rodrigo B M –
Excellent course! Great material, challenging exercises.
Sebastian R S –
Awesome course. Challenging final project.
Peter –
A tough course (not for the fainted of heart). I love baseball and the application of the baseball data is useful for me !
Charles H –
Excellent Course!
KEYU X –
This is a very good course. You will feel very satisfying when you complete the final project. Maybe the only thing I want to complain about is that the statement and signature of the project are not so clear and a little bit confusing. It takes me some time to figure out the requirement.
Oleh M –
A very sharp combination of the basics on lectures and algorithms in practice.
Ankit J –
this is quite difficult and very hard than the last one
Sergio G S –
Excellent and challenging, especially the final project
Dev N P –
This course is great one to provide you the fundamental concepts of python scripting.
jingyao z –
great mentor! excellent course, lead students to write a whole project step by step
Aleksandar A F –
was really tough!
Manuel F –
Excellent course
VIKRAM S –
Great Course ! Specially the project at the end uses some really powerful code, combining all that we had learnt throughout the course
Jimena M M –
Great course as all their courses they have given!
Julian W –
Big disappointment after 2 previous courses. The lectures are not really giving you a lot of new material to learn but difficulty of projects you are expected to finish goes up a lot. It left me confused and frustrated. And I think I am not the only one (check on–line forum). Big plus for forum mentor who is helping a lot (he is even posting extra exercise there). And he is making a difference. Still at the moment I decided not to continue with the last course in this specialisation. Too much frustration in this one.
Zhuoyu C –
Good course. But for csv nowadays everyone use pandas. Should update the course.
Abraham G R –
Excellent Course, I really recommend it. This was my first course about python but now I gonna take all the courses available
Onedio S S J –
Excelent Course! Congrats
Sinem U –
It is not hard to follow the week’s subjects, videos are very explanatory. But final project was very complex for me as a very beginner. There should be more exercises in previous weeks to do final project better.