Dataquest

Dataquest is my 2nd subscription course on data science. As a beginner, its clean interface keeps me focus and is easy to use. It has more logically learning path and guided projects.
Description of knowledgebase is in more detail. If you learn faster by reading than listening to audio like me, you'll love it.

I recently graduated with a finance degree but am looking to continue developing my coding abilities. At first glance, I thought codecademy was a great way to advance my desired skills. I tried the service for a week and it was great. At the time, I didn't have room in my busy schedule to continue using the service. Due to my work travels, I missed the deadline to cancel my subscription by less than 24 hours. Low and behold, when I contacted their customer support to ask for a reimbursement I was given a cold and harsh no. I offered many solutions to prove this human error, such as my lack of activity during the time since I was automatically charged, but nothing. What is worse, I did not even receive an email reminder that the charge was being automatically renewed. The customer servic...

I have attended and subscribed to several online and in person data science courses and bootcamps. I so far have liked Datquests format the best.
Pro:
- Focus on Python which is becoming the industry standard
- Web based interface is clean and easy to use
- Has both data engineering and analysis tracks
- Good mix of foundation and advanced topics.

Con
- Data engineering track is a little short

A great way to go from beginner to intermediate level in Data Science. Covers a lot of what is needed in the data science workflow. The lessons are quite intuitive. The hands on approach means you start doing projects immediately.

On this platform, I feel that learning Data Science is an RPG mission in which I have very clearly the path that I must go through. And if it gets a bit boring or difficult, I can only change the mission or the approach, but my race to the finish line continues to approach. And it is very gratifying to see through the reports how much time we are dedicating and what we are achieving. It's like a reward: "Look how much I've done so far and how long it will take to complete it!"
One detail I love is that you can adjust your goals according to your availability. You have short and complex missions, divided into several subjects. There are days when you choose a mission or another according to your appetite. It's like a delicious self-service menu, rich in choices and flavors.

I have been using Dataquest at my own pace for over a year. If you read faster than you listen to audio, then it's definitely the course for you.
I like how easy it is to find and review topics by clicking through the reading slides. Each topic prepares you to code a bit on that topic. All those little bits
of code you practice will come together in the final hands-on project at the end of each section. You are sequentially prepared to be able to
perform. I found all the projects interesting, too, because the projects explore data relevant to current issues in America.
For the money, it is the best program. I get more out of Dataquest than I got out of Coursera courses on data science!!! That's saying a lot.
I feel that I am set up for success with Dataquest, whereas on Cou...

After doing research on my own, I decided the best way to learn DS/ML was to concentrate in one MOOC plattform with courses that could cover everything I thought I needed to learn, so I did some courses in Coursera but felt they lacked more real-world problems and practice in general. Later I discovered Datacamp and Dataquest at the same time, did the first Python courses on DC and didn't like it so much, exercises were too easy and didn't really feel I was learning that much. Later I tried DQ and I immediately felt in love with their path/course/mission dynamic, sometimes you can stay hours while you're really having fun. In favor of Datacamp they have videos and a wider selection of courses, meanwhile Dataquest uses a very well achieved mix of text, images and GIFs to present the sub...

I'm doing the data analyst in R path, so far very positive. I have a business background and some statistical knowledge, the R class is really intuitive and in my opinion well structured for beginners. No experience with other platforms though, but I would definitely recommend it to a friend!

I am doing data science with Python Programming. Dataquest is a fantastic resource. It allows to gain a thorough understanding of the fundamentals. This makes it ideal for people of all skill levels. Unlike like other programs, you learn by doing rather than watching hours of lecture videos. The guided projects give the experience working with real-world data, which is essential in developing the necessary skill set for working as a data scientist in industry.

I'm just starting out but so far I really like it. The explanations they give are succinct and the short exercises after each slide really help solidify what you learned. I am starting to feel like Python is natural! My only complaint is that when I was about 1/3 of the way through the course they introduced an upgrade. They said there would be an option to stay on the current version but when the upgrade came it wasn't clear how to do this. All of my progress got erased and I had to start at the beginning of the new version. I was really annoyed. However, I have to say that the new version seems more comprehensive and more focused to data science. Overall, satisfied.

Dataquest is a fantastic resource for learning data science with Python. The curriculum allows the user to gain a thorough understanding of the fundamentals before introducing more complicated concepts. This makes Dataquest ideal for people of all skill levels. Unlike like other programs Dataquest allows you to learn by doing rather than watching hours of lecture videos. The guided projects give the user experience working with real-world datasets which is essential in developing the necessary skill set for working as a data scientist in industry.

The only complaint thus far is that the R programming stream does not contain a lot of course material at the moment. Other online learning sites teach R programming much more thoroughly.

For data scientists, data is their food. The fact that you have learned programming languages, math, or machine learning doesn’t mean you are a data scientist unless you can’t feel the taste of data.

Here, at DataQuest.io, while being stuck with a data more than a week, I have learned the taste of data: how to respect data, how to smell good and bad data, how to pull worms out of apples, and finally how to chew and feel it.

You can learn the core of data science by "learning by doing".

Of course, DataQuest has some problems in its platform, but I know they’re always trying to make it better. You know, perfection is a process.

What I love about DataQuest is how the material is structured. It starts with step by step instructions. Not everything is given to you, but you get some pretty strong hints. It's really difficult for someone who knows something really well to present enough hints to a learner to let them figure things out without getting discouraged. I think DataQuest has nailed this.

Then, after being led a little, you get open-ended projects with less guidance that give you the opportunity to apply the last few units in an unstructured way. These projects really give you the opportunity to consolidate your learning.

DataQuest has had some technical glitches. The Jupyter notebooks connection was spotty sometimes locking me out of my projects for an afternoon. The Jupyter problem seems to be fixe...

The Data quest platform is great for learning all the tools you need for data science. The exercises are fun and are more than just learning code syntax.

I was looking for tutorials on Data Science in late december 2017.
After a few tries, i landed on the free content of Dataquest. The next month, i subscribed to the one year premium subscription. The courses are made with a lot of care, balancing notions of python programming with statistics for data science. They have just the right mix of theory and practice and each course ends with a guided project that can be incorporated in a portfolio. The community and staff are really invested and quick to respond. As a guide, here are a few things that i got to practice/learn:
- Basic python commands (flow control, variables, functions) and advanced notions (web scraping, jupyter notebook)
- Data visualisation (how to make plots and how to choose them)
- Python for data analysis (numpy, pa...

Taking DataQuest was the best decision of the year.

Of course, it teaches you the good basics you need.

On the top, it gives you the habit to read for documentation. The first time it is explained with sentences and after a while, I was able to dive in any documentation with confidence.

What is amazing as well it the quality of the responses of the team any time I had a technical question. A real plus! Awesome people behind it.

Now I am working aside with doctorate people. Love my life.

So I have tried a lot of different online self learning programs for coding and statistical methods. I feel that most either keep it too simple or jump too quickly to specific topics and I never felt that I was getting a comprehensive education until I started dataquest. It is an excellent resource for all skill levels but I for beginners for R or Python its the best resource I can recommend to really get you started on a practical approach to becoming proficient in both languages. It is hard to think of any real cons with the program. Sometimes the lessons are a bit wordy but its hard to avoid in certain topics.

DataQuest offers a very high quality platform for learning Data Science and Data Engineering. Lessons (“missions”) are thoughtfully organized and laid out on a guided path (“quest”) for learners. Each mission is split up into several components, typically 8-14 parts. Each part has a succinct and helpful explanation of the material and then the opportunity to solve a hands-on challenge in order to solidify the concepts learned during each tutorial.

I believe this approach was extremely helpful, and it enforced how I understood the material and how much of the content I retained. Furthermore there was no “fluff” and each tutorial provided helpful and highly applicable content and advice related to the skills needed for a successful data scientist in the industry.

Overall an extremel...

I am currently on Dataquest's "Become a Data Analyst" track, and I'm loving the program for its affordability and immediate results. I've tried a few online learning platforms before such as Coursera and Udemy, and they were pretty good, but I found there was usually some disconnect between the course lectures, the course assignments, and what I'm actually trying to do with the material in my day job.

I personally really appreciate the lack of videos on the Dataquest platform. The learning platform is based on (short) text explanations of a coding concept, and then having the user immediately put the concept into practice. After every few modules is a guided project, which presents the user with an interesting dataset and some objectives that closely resemble real-world business pro...

When i decided to get into the Data science, now the question is from where to get trained.
Live interactive training
Online interactive training
Online video based training
Interactive read and practise training(Dataquest)

I tried different ways above Live interactive is vary expensive , which is schedule based.

Online interactive I tried attending for few demos which did not suit me as 100's of people join where my question's are never answered ,

Online video based training i tried with Udmey with sample course , though i could understand but never got that motivation.

when i keep searching for alternatives , that's when i found Dataquest/Datacamp. I'm not sure how Datacamp is but glad i choose Dataquest. I wanted to try for the
basic course in Dataquest first t...