University of Washington offers data science class on coursera
What I like on week 1 lectures is the the emphasis on the different between DS and BI
You can get free digital copy of Analytics for Dummies by Alteryx.
Check out this link
So assuming you started your journey in the Big Data world. You probably realized that by now, that one of the most important V is Value. Yep, you mine PB of data, you’d run crazy hypothesis, invest great amount of time and probably money to harvest your unstructured data.what we call Value is actually the parallel meaning to the word: Use case.
Yep, we need to show ROI, business model and all the great business school/consulting firms will tell you. Well, gling gling, here is your reality check, forget About the use case, just start!
Don’t let anyone fool you with good marketing pitch. Predicting the future is not an easy task.
Advanced analytics can help the business and drive the strategy but you must setup expectation with your marketing department.
Use case is a journey, it requires discipline, it requires great resources(not good but great) – get smart folks to do this job or identify the talent people in your org and make them your new data scientists or whatever new hype role that is defined in the industry
There are two great books that I recommend you reading:
1. Win business with AA
2. Data agile
These two books were written by different authors from different angle but I think they complete each other.
The first one will set you up with the business acumen
The second will make you understand that your still have to learn and the big data technology is pretty cool.
So here it is.
I am getting many times questions like how much it takes to learn Hadoop? How much time I need to spend on training before I can start my professional career in that area.
The short answer I have: “No free Lunch”.
I might be old school but I honestly believe that in order to be great in something, you must have the passion.
My short answer is: 3-5 months.
- You dont just read but you actually setup your own cluster with 2-3 nodes and code – yes code.
- You get 2-3 books, read and practice.
Next time I will elaborate on my short answer.
One of my best friend who is a CEO of a young startup met me several weeks back and was mad at me as I used the term “big data” at least 10 times on 5 minutes call. It was probably a side effect of me over reading and exploring this area.
Meeting with Steve Borbst, who is the CTO of Teradata had some great impact when you hear a great lecture and have the “Ah” moments.
Steve Borbst talked about the fact that we are living in the SPIME world (hoping I say it right) – but the thing is that we are looking on “Space and Time” dimensions when we generating and consuming data – I might need to write a post just on this specific topic.
There is great buzz/hype around big data – reminds me cloud computing few years back To me it is hyped but it is here to stay for many many years.However there is great confusion regarding Analytics/BigData in general – I have many definitions for all but I won’t share it as it will create a long discussion like this innocent question posted by Joana on linkedin
I will try within my blog to cover many aspects and areas I encounter at work and learn and most important, I will use the term “big data” less than 10 times on every post.