Machine Learning for Data Analysis
Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Cap
Created by: Jen Rose
Quality Score
Overall Score : 78 / 100
Course Description
Instructor Details
- 3.9 Rating
47 Reviews
Jen Rose
CoursesData Analysis ToolsData Analysis and Interpretation CapstoneRegression Modeling in PracticeMachine Learning for Data Analysis
More Artificial Intelligence courses
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
5.0 (526 Reviews)
Provider: Coursera
Time: 15h
Free
Artificial Intelligence: Reinforcement Learning in Python (2026)
4.9 (10,817 Reviews)
Provider: Udemy
Time: 14.7h
$79.99
Reviews
By Shreyans J on 27-Jun-19
It is definitely a good one and easy to understand... What I mostly struggled was with the data sets which were hard to find... probably if some data sets would have been provided would have really helped - would have been easier to run the program through with multiple sets and see the best results across. Essentially the major learning happens when you actually run it on your own (for which you may have to go back and forth with the instructors examples / teachings.
By Mukkesh G on 30-May-19
A good introduction to Machine Learning. Makes me curious to know about the methods that are available outside of this course. Great material as usual. Update After actually studying Machine Learning for months: A pretty intro to the world of ML. After learning the math behind it and other algorithms, I can say that this specialization is pretty much just the Statistical interpretations of your analysis (explained with the implementation of some powerful yet basic algorithms without really getting into the Hard Core math behind it)
By Aurimas D on 1-Feb-19
Absolutely unbalanced course. Course has 4 different topics, but it does not explain well non of them. In reality whole course should be dedicated for at least one of provided topics.
By Ponciano R on 23-Jan-19
It´s a good course but it does not goes deep enough in the examples and techniques.
By Γεώργιος Κ on 4-Jul-18
A must to do introductory course. I will never regrett taking that valuable course but I have to say that some improvements would make it much better. The theoretical background is too short and the proffesors seem to spend more time to describe simple functions like saying put there an ('underscore', 'parenthesis') than seting the reasons of doing that and what are the targets of the programmes. Any way all of these problems and maybe some more are not a reason for someone who wants to start machine learning to not participate in that course especially if he is a pythonist.
By Ruben D S P on 29-Jun-18
Great classes. It is the beginning to machine learning, and you can try more classes about it. You can find many job about it.
By Фаткулбаян on 7-Feb-18
The course was indeed pretty interesting, I've learned a lot of new things (and got to learn how to do a little bit of coding using Python). The only thing I would recommend is to add some more datasets, because even though it's pretty easy to find some datasets on the Internet, I think 3 out of 5 suggested datasets were extremely difficult to figure out and were much more complex than the other two.
By Adrielle S on 6-Feb-18
Excelente curso. Explicações didáticas com exemplos reais implementados e detalhados em python. Descrição muito boa das aplicações das técnicas apresentadas bem como de suas limitações. Parabéns para as professoras por esse excelente curso e muito obrigada por nos disponibilizar este trabalho maravilhoso no Coursera.
Showing 12 of 47 reviews
Could not load more reviews.







