I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

This course is amazing. This course will give you the direct information you will need. It is based on a hands-on project you will be positive when you watch this course

Great course. I had fun having a kick start in the field of data in machine learning. I understood the concepts related to how to improve the model.

Thank you

Great Course. Amazing Work By the team. Concepts explained clearly, followed by the week end quiz to revise. The Labs Do a great work in helping out

helps me a lot! FYI I was new to data science and programming language but this course helps me to understand business analysis with Python!

The course is very straightforward, everything to the point, just takes a little bit to get familiar with new concepts.

This course has been very helpful for me and i have learned a lot in this course...many skills

Covers a lot of ground but the Python Labs are great at bringing everything together.

It's a bit hard to understand this content. I would come back to review :)

One of the most interesting and useful courses for data analysts!

the best course to learn data analysis with python

A very complete course of Data Analysis.

Tough but useful.

The course content is definitely interesting, but the approach is superficial. You will get a broad overview of the keyword to search for, and what is available in popular Python packages. However, the quizzes are way, way too easy. The course needs a final "open" assignment, where you have to use the tools without being guided along the way. This is the only way to truly learn.

Course was great but it had number of errors and typos, that per my experience and other attendees caused some confusion.

I am sharing so it could be improved as it is a dream come true for myself to gain this valuable knowledge as conveniently as possible.

Thank you.

Mahvash Nejad

Well structured lectures and notebooks worked without issues. I just wished a bit more explanations would have been given in how to interprete the output of some of the results, especially when it came to data predicitions.

The strong side - the emphasis on practice, the weak side - insufficient theory and insufficient didactics. The course can be recommended if you are ready and have the opportunity to learn on your own.

A very comfortably created course - no stress at all. However all that you can get is become familiar with the data analysis tools. May be that's the point.

I think few more practical exercises or at least references of the same would help better understand the overall fundamentals.

Material covered is useful, but there are a lot of typos and mistakes in the lecture slides and labs.

There could be links to functiones libraries in the lab for a fast check of a function if needed.

I think the quizzes can be in the format of programming required questions.

Some mistakes/ typos in the exercises and slides, but great overall

An assignment should have been included

This course is decent but lacks more thoughtful and detailed explanations about its topics. For instance, it is severely lacking a glossary (what is exactly "actual values", "predicted values", "target values", "fitted values", "free parameter", "hyperparameter" and "estimators". I only know what these concepts mean because I looked them up on the internet, but their meanings should be in a 40 dollar a month course. They are essential for an enough understanding of the job of a Data Scientist.

Despite IBM telling us this certificate does not require previous Mathematical and statistical knowledge, if you do not know what is a reduction of a first degree equation, cartesian plan, ANOVA test, t-test, correlation, polynomials, R^2, Mean Squared Error, etc., get ready for a wild ride in another sources of study becayse this course throw this concepts at you very quickly with explanations lasting one minute sometimes.

The monitors at the forum are very helpful and knowledgable though.