Joseph Santarcangelo
Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open–source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open–source library, scikit–learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
Instructor Details
Courses : 3
Specification: Data Analysis with Python
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127 reviews for Data Analysis with Python
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 13 hours |
| Year | 2018 |
| Level | Beginner |
| Language | Arabic ... |
| Certificate | Yes |
| Quizzes | Yes |
JEFREE J P M –
Excelente.
CARLOS A H G –
its great
Sweta G –
It was a wonderful course. They have explained all those hard concepts in a pretty easy way. Thank you team for clearing all the concepts!
P. T –
Really very much helpful for beginners
Qing L –
Kurs gut organisiert aber die Fragen sehr oberflachlich
Dwight –
This was an excellent course that had datasets with which to work with. With practice and exploration of data wrangling, my confidence level is growing.
Akash K M –
nice and balanced course i like the assignments in this course a lot to learn here
Xinyi W –
Superfacial level of Python while being not very through on the data analysis methods.
Jitesh J T –
Superb explanation of the topics required for data analysis with a thorough hands on training of Python programming makes this course one of the best courses I have done till now.
Piyush J –
This course teaches you important python liabraries like pandas, scikit learn. It also provides information about regression and helps us to build a model for a given case. Overall its very nice course for getting idea about how to do Data Analysis using Python
Jinjin X –
It is a good course to learn Python techniques for data analysis.
Steven A M U –
Una muy buena opcion si se quiere empezar con el analisis de datos con python
Kamal K –
this course is very useful for me, and I learn so much from this course.thank you
Debasis K C –
Excellent content; learnt a lot in this course.
Darshak S –
very useful course
Dan–Awoh E –
All you need is self motivation because this course will make you a data analyst
Ankit S –
It would be nice if the course had more assignments.
Chau N N H –
The lesson need more explanations on Polynomial Regression, Pipeline, Ridge Regression.
Venkata S S G –
Content was decent. Do ungraded labs provided as practice exercises if you want much exposure and and free flow of code while using the data analysis libraries. Overall, the course is helpful for an intro and intermediate level. Will definitely work as a refresher.
Dan Awoh E –
All you need is self motivation because this course will make you a data analyst
Ashish B –
Very informative!
Shreyas S –
It was a good course overall. Would prefer explanations at a slower pace and more examples for each of the techniques explained. Thank you!
Andres C P A –
I think it would be good if the units had activities to deliver mandatory since that would allow to strengthen the knowledge acquired. Thanks for the course.
Mohamad N A –
good training to leard data analysis
Victor S –
Nice Course,
Yesi D –
Me encanto este curso, aprendi mucho
Mauricio F O M –
Excellent. I enjoyed the labs.
Jose M H G –
Great course
Martin A K –
easy to follow. good theory as well as hands on exercises.
Ardit Z –
Too easy. Make it more challenging!
Max L F L F –
the best course untill now of the certificate!
Amanda J A –
I really like the way this course made the concepts of Data Mining laconic and intriguing.
Faiza K –
Very good course and very easy way of explaination
Diderico v E –
Wow! Excellent course that provides a great skills focused overview on how to do data analysis with Python. The videos are first rate, high quality and summarize the essential points nicely. The data set is real and it is used throughout the course and that helps understand the different features of data analysis taught by pandas.
Marc T –
why is sharing of the notebook worth 3 points? That has absolutely nothing to do with python or data analysis!
Kerem B –
The difficulty level of this course goes up very dramatically and it took me very long time to understand.
ABOUDA Y –
Un cours riche et adequat pour les debutants
Mercy A –
quite insightful,liked the quizzes and the assignment. learned a good number of skills.
Satvik C –
I have learned a lot if things regarding data analysis . thanks to the teachers for helping me to understand how to analysis the data in different ways. thank you
Gerson C H –
Its a great introduction a clear explanation about Machine Learning, generation of linear regression models and all the things to do before to the analysis front the data. I’m very excited and gratefullnes.
Evgeny L –
Very excellent course!
Bondili A S –
Awesome learning Data Analysis with Python. learned a lot and looking forward to learn more…
Anthony S –
This course was pretty heavy going but I really liked the fact that there was constant testing through the whole process. So, heavy going but well paced. Thank you very much.
Chinmay M –
Well designed course with outstanding content
Amit L –
Excellent course !
Christopher L –
The course itself is good. But the amount of material covered is staggering large compared to the previous 5 classes. Why cram so much into this one class! The material is broad enough that it should be covered in 2 classes not 1. And as I’ve found in all the classes in this certificate program, there are not enough problems given to help students exercise all they are learning. There should be problem sets (with answer keys) given after each week that helps to drive home the important concepts. These could be optional, but I think it is imperative that students have an opportunity to work through more problems to help lock all of this important information in. There should also be links to places to go to learn more about each presented topic. And the amount of errors in both the videos and labs is really bad. The class preparers (IBM) have done a horrendous job of catching and fixing the multitude of errors in the videos & labs that simply lead students astray. They have to find some method to get all the material correctly updated quickly and I suggested they should keep an ERRATA PAGE that lists all of the known errors that haven’t been fixed yet. This would help them to keep an active punch list of what has to be corrected and allow students to more easily check if a problem they are seeing is related to incorrect materials without having to scrub the forums to try to find answers. And the forums are not run very well. It generally takes a day to get any answers and the answers are not very thorough and in many cases just wrong. Students need a better way to ask questions when they get confused and the answers should be completely explained and relevant.
Cecil –
The courses from IBM on Data Analysis, Visualization, Machine Learning are great. I am in an online M.S. program, and the material from IBM is lightyears ahead of my university material.
Eden P –
A lot more challenging than the other courses I’ve taken on the subject. Learnt a lot.
Muhammad H F –
Concise but effective lectures, great learning experience.
Nicolas R –
Great 😀
Camilo E S T –
Perfect to start
Abigail B –
Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.
Julian R C C –
Excelent!!!!
LAURA I O E –
This is a really good course, every subject was clearly explained. I appreciate the way they did it.
ARAVIND R –
Excellent
Pedro L A A –
En general muy bien explicado y conciso.
Juan E F A –
It was an excellent way to begin in the path of data science. I really enjoyed all the knowledge they shared. I’d lie if I say that it was a piece of cake, but it wasn’t impossible, either.
Liliana A M –
It is an excellent course that helps develop skills such as English language management as well as introducing you to the programming language and data analysis.
Christopher H –
Wonderful course!
Hassan A –
Amazing course with amazing instructors. Practical labs were so awesome. Thank you Coursera and IBM for making million dreams possible.
omar a –
this course was a useful course for how analysis data with python. I think it’s a very good choice to learn how to analyze data with python. thank you so much for this course.
Shubham R –
A very precisely made course for beginners, who want to learn data analysis using python
Cristian A M L –
Los temas tratados son muy utiles y se desarrollan de gran manera. El herramienta de LAB es la mas completa del curso. Considero que se puede aumentar la rigurosidad de la evaluacion
Ali –
Great course.
Odejide M O –
This is an awesome course for anyone who wishes to start a career in data analysis using python. The tutorial is well organized and structured with detailed materials.
RICARDO R A –
Excelente curso, los laboratorios brindan una mejor comprension del curso
German A R D –
Gran curso, muy bien orientado a dejar claros todos los conceptos, con herramientas muy bien integradas al aprendizaje.
Maitha S K ( O I –
Honestly it is one of the best courses I’ve attended in Data Science. All the ambiguous concepts that I read in the internet and couldn’t understand were clear in this course and I didn’t have to struggle to get them. The way the course is structured, the visual materials, labs, quizzes and assignments ensure that you leave the the course with good theoretical and technical understanding. Thanks for making it easy to learn Data Science and python! I would definitely recommend this course if you want to have a good start.
Prosper O P –
I enjoyed it and learned a lot of new skills from this. Worth every minute and penny.
Muthu M H –
Great Course for Data Analysis
Nguyen L A –
content of the video instruction is quite easy for beginners. Highly recommended!
JUAN P G B –
Thanks great course I learn a lot about data analysis
Pierre Antoine M –
Videos are nice but they are mistakes in the notebooks that disturbs learning
Julien P –
Great content.
shrikesh s j –
it was worst experiance !!!!!
Purple A M –
great!
Paulo C d S N –
Excellent!
Carlos A E B –
It’s the best data science course for beginners
Alejandro V M –
Great course
Rufus F –
Hard work pays off!!! do the work
Rajeev P –
It was a good course. Learnt a lot of statistics and how to implement them in python from this course.
Joann L –
This course was riddled with errors, it was honestly really hard to follow. It’s also extremely frustrating that the errors were pointed out by others for a really long time (several months for some), and none of it were fixed. The subject matter was also extremely difficult to follow and the explanations provided were insufficient for beginners.
ADITYA K –
This course helped me in a great way to use different type of data using python
Katarina S –
One of the best courses in the IBM Data Science Specialisation. I would like to have more quiz questions and opportunities to practise what was covered.
CAMILO M Z –
Excellent
Soumak M –
An insightful course which is consized appropriately making one comfortable with basic statistics ,creating model pipelines and data visualizations.
Juan C Y T –
Excelente curso, soy colombiano y aprendi mucho, ademas tambien que practique mucho mi ingles en este curso.
Fabian A C –
Wonderfull course, the material and expertise was excellent, the practical Exercises and demos also was great.
Mauro M M R –
great
Kharat L S –
good course
aaaluno –
Concluido
El H E –
Thank you very much for this amazing course
SACHIN R –
Nice course for beginner
Otilio E R L –
Excellent course!
Beylard P –
Great notebooks and clear content except two points : 1 polynomial regression and pipelines have not been enough thorough and detailed. Quite complicated to aprehend 2 final assignment question 8 nothing to do. answers were already in the downloaded notebook
Francine S –
The content of courses are great! Went through step by step until a high technical level. Unfortunately, the lab is always out of server, me and others users have been reported the same problems every now and then and nothing changed. I finished the course without practice the labs and I can’t check the exercises to start an own project! Apart from that the whole course is worthwhile.
Gerardo J P –
A very good course to start learning Python and, of course, data analysis.
Ranjeeta R –
I liked the course. Highly recommended for someone who is looking for coding experience for data Analysis using python. Please practice the lab that will make you confident. Only thing which bothered me is the final assignment review. It was not correctly reviewed. I lost 4 marks. Hope this helps!
Sergio A d A –
Fantastic.
Juan D A B –
Excellent course
Malik S S –
Brilliant Course
Aman S –
A very detailed course. The hands on exercises were really good and I got to learn a lot of things from this wonderful course. Thanks to all the instructors for their hard work in putting together such a course for us.
Rishika A –
There are many errors and this was even the toughest course I have taken yet since many things were not explained clearly
Jyoti M –
I felt it was too fast to grasp.
Carlos G R G d l C –
It’s an excellent course; the best part is the labs. It’s a pity that we (the students) have a lot of problems loading the labs.
Dhruv S –
Really great course with excellent instructions and pointers on model fitting and evaluation best practices. Thanks!!
Toan N –
The lab is disconnected every so often that can’t complete it smoothly.
Malik S S –
Brilliant Course
William O –
One the greatest course of Data Analysis. The info given about statistics is very important and accurate. Thank you to the instructors.
Joe M –
Interesting class. Clearly designed to cover a lot of ground but not always in the detail some may like. Emphasizes showing some basic analytic work flows, but does not always explain how or why of a particular step in the workflow.
Connor F –
when it got to model development it got too complicated too fast. The first half was great.
Akshay B –
The course content is good. However, some ready to use short notes type material should be provided for future references
E. R ” A –
An extraordinary well designed course with excellent courseware and tests. A triumph!
Manish C –
Best data analysis course for beginners .
Sumeet K H M –
The course is really very good for someone who is new to machine learning since all the codes are properly explained
GIOVANNY A R C –
Great course for data analitys with python
Nathaniel S –
Don’t spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.
Brian S –
Notebooks are sloppy, with typos and errors
Vinit K S –
Could have been more explanatory.
William S –
The labs weren’t available for a period of time, but the information is very useful!
Andres V –
Excelente curso de introduccion a Data Science.
Penthala v –
its very usefull to me
Ahmed E R –
I didn’t like it at all although its the most important course in the whole specialization but it’s really bad i didn’t understand a thing
Miguel E M –
There where some typos in the labs that could confuse most learners. I didn’t feel like the course prepared people for real applications. The final project was quite hard because of this . But it does give you a wide vision on hoy pandas work and some basic but apparently often used tools. I see this course as a complement to a more detailed data analysis resource or perhaps as simply as an introductory view.
Manas C –
The course covers all the fundamental concepts needed for a beginner.
Francisco A –
A complete journey throught Data analysis and a refreshment about statistics
Jennifer R –
The topic is very interesting, but the execution was poor. Code and numbers were just being read at me, instead of focusing the recorded lectures on teaching concepts and troubleshooting, and leave the code to be read by myself in the labs. Also, the quizzes along the way were nearly useless: only two questions, a “pass with at least 50%”, and the questions asked were very superficial. This is the most poorly executed course I have taken on Coursera so far.