Jen Rose
In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi–Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work. At Wesleyan, distinguished scholar–teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit.
Instructor Details
Courses : 4
Specification: Data Analysis Tools
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49 reviews for Data Analysis Tools
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 13 hours |
| Year | 2015 |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
Cesar –
Una buena forma de introducirte en las herramientas para el analisis de datos
Daisuke H –
There was no explanation about background mathematics. Grading metrics are unclear because assessment of assignments are only peer grading.
Jason M –
The material itself isn’t bad, but the course instructors never respond to questions. What’s the point of the class if I can’t get my questions answered?
Yogesh A –
Very good from a conceptual point of view.
ayush t –
Videos are good and to the point. Animation is very user friendly.
Arnold A –
Very nice!
Victoria –
too mechanistic. not much creative modules.
Benjamin D –
Very well done. The videos are well explained, with nice illustrations and examples to clearly understand each concept. The assignments are self directed and do not take too much time to write every week. I really recommend this month long course for anyone who struggles with basic statistic and wants to know how and when to run an ANOVA, Chi Square, Pearson Correlation.
Ashwani p –
Very informative. Tedious concepts like ANOVA, Chi square test etc taught in very simple and effective manner. There’re two options for analysis, SAS and Phython. I’d recommend readers to read more on PROC ANOVA for better understanding.
Teo S –
Very clear description of basic statistics without all the jargons and mathematical formulas behind it. Unfortunately, somehow, such a good course lacks students and the discussion forum is like ghost room with virtually zero interaction.
Praneeth K –
This course is very good especially for beginners getting started with SAS or python for data analytics. The lessons are very clear and easy to understand. Learnt a lot of valuable information and also enjoyed it.
Shwathi S –
Really good!
Xie Q –
A great course! Thanks.
Ricardo M –
It is not very deep, but it certainly helps to understand / consolidate some basic analysis / statistical tools.
Nitin K –
Nice Course Thanks 🙂
Kevin M –
Enjoyable and easy to follow along with. good videos and examples. Helped fill in some gaps.
Rajat K –
Intersting Mentor.
bijith k –
Good Course , simple but effective videos
Paul C –
Found this course to be really nicely balanced… I learnt a lot and did not get bored doing so : )
Marta M –
Interesting but very superficial I would say.
Avinash S –
This was good module. It covers the basics of inferential statistical techniques along with its application using SAS/Python. I would definitely recommend to take up if you are a beginner.
Md M H –
Excellent!!
sanam –
Gives a brief introduction of basic data analysis tools and concepts. Simple yet effective videos.
Naomi F M –
Had important problems with SAS which were due to a bug in the software but did not receive any help from moderators. However the course was good and interesting.
Ashish K Y –
Thank you very much for creating this course. Basic concepts of Population, Sample, Sampling distribution, Sampling distribution variability, Hypothesis testing and ANOVA was really very helpful. the course is designed in a very nice way and the questions in between are of good standard.
MICHAEL N –
Excellent course and excellent specialization. The classes were well taught and easy to understand.
Hisham Z S –
I want SAS
Ruben D S P –
It is an amazing course where you can learn about manage tools, to analyze data. You can learn properly, it is a class made step by step. I recommend this a lot
igor s –
It is a very nice course for learning the SAS and Python. thank you all.
Sally T –
Great information presented very clearly with many learning aids provided.
Saint–Clair d C L –
This is an awesome course (as well as all of the courses in the Specialization I’ve taken so far). I definitely recommend it to anyone with interest in data science.
Elias B –
good course, simple but resumed
JMF –
inactive forums with too many unanswered questions to get assistance by searching the forums. This course and program have potential, but it needs active moderators and mentors… otherwise it’s definitely not worth the cost. Ended up switching to a Python specific data science specialization, with a much more active forum.
Guillermo R –
Just love this whole specialisation! videos are great, lessons are great… it’s just a great course! highly recommended to anyone looking to dive into the field of data analysis!
Luis M O A –
Very Helpful course. Thanks.
Emily –
This is based on their previous course (Data Management and Visualization). This course is better in terms of explaining content clearly, and I enjoyed the real life example used when explaining about the Chi Square test. However, the python coding could be more optimized; for example, it suggests doing the Chi Square post hoc test for each variable one by one… which can be 15 batches of dictionary recodes! Thankfully someone in the forum provided a solution for doing an automated batch testing. Maybe the course lecturers felt that a batch recode would be too complicated, but it doesn’t feel like you could use their method effectively for a work environment, either. In any case, it’s still a good course to explain the various data tests for quantitative and categorical data if you’re new to statistics.
Patricio S C –
Good course, but need more direct feedback from professionals.
Anitha t –
Excellent course with clear explanation and practical work.
Panji N –
Good course
Rawan M –
Covers a good deal of material.
Nikhil T –
Being as beginner I found through this course I am able to setup my base. Thanks
Lee S –
Really poor course. Only good thing is the explanation of the ANOVA’s. Get a free trial for that then cancel. Firstly, the videos are incredibly cringey. The backgrounds/transitions etc. are highly distracting. And close ups shots of people smoking aren’t too suitable in the work environment. The male instructor’s smirking face whilst shots are being taken on campus is really off putting and inappropriate. The code is just given to you; it would be far better if the course guided you through it. This Data Analysis Tools course can be taken on its own, yet it has a reliance on the past course being taken in the assignments. And you have to create a tumblr blog????? Not much thought put into this. I would not recommend at all. Avoid.
Drew M –
Really important concept (moderator) is explained very well.
Devon D –
Great course the skills learned have helped me greatly.
uzoamaka –
Very informative. Thank you
KASAWULI F B –
Data Analytics Tools are keep for Data Science.
Mukkesh G –
I had no idea that the mundane statistical methods that I had learned in my college would be SO powerful in real life! This course is amazing. If you have a bit of a statistical background, you’re gonna fall in love with this course. The instructors have ensures that every concept is covered, and by the end of the course, you are well versed in basic data analysis
Ponciano R –
It’s a really good course, I’d like it to goo deeper into the techniques but still is very useful.
Adam K –
We don’t have to do the calculus, but some acknowledgement that mathematics, and not syntax, is actually responsible for how these tools operate would be great.