Knowing when and how to choose the right statistical hypothesis test is no mean feat. It can takes years of learning and practice before you get comfortable with it.
Fortunately, there are ways to shortcut this by having a process, a strategy and a nice, big diagram!
Here I'm going to give you all three!
Added by Lee Baker on July 23, 2019 at 3:30am — No Comments
When it comes to storytelling, we have a problem.
It’s not our fault though – as human beings we are hard-wired from birth to look for patterns and explain why they happen. This problem doesn’t go away when we grow up though, it becomes worse the more intelligent we think we are. We convince ourselves that now we are older, wiser, smarter, that our conclusions are closer to the mark than when we were younger (the faster the wind blows the faster the windmill blades…Continue
Now that Christmas and the New Year are behind us the nights are becoming a little longer with each passing day. Nevertheless, there's still loads of cold winter nights left to endure (unless you're in the Southern Hemisphere, in which case – throw me a shrimp on the barbie!).
It's time to dust off your New Year resolutions from last year (remember those?) and get ready for a new start, a new you and learn some new data skills.
I’ve thrown together a collection of five…Continue
Added by Lee Baker on January 24, 2018 at 11:00am — No Comments
If you're a regular visitor to our website you'll know that every month we scour the internet seeking out free eBooks to help you on your educational journey. Well, it has been so popular that we decided to create a regular monthly series here at Data Science Central.
I hope this will prove to be a valuable resource to you that you will visit regularly (and invite your friends too).…
Let’s face it – cleaning data is a waste of time.
If only the data had been collected and entered carefully in the first place, you wouldn’t be faced with days of data cleaning to do. Worse still, your boss probably doesn’t understand why you can’t just do it in a few minutes. After all, you only need to click a few buttons in Excel, don’t you?
Well, we all hate data cleaning, but if we get organised and learn a few tricks there are ways to…Continue
Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving!
These books require different levels of existing knowledge, and while some are for…Continue
It’s been a rather quiet summer on Data Science Central with fewer blog posts being published than at other times of the year, but I guess it shouldn’t be too much of a surprise – DSC has had to compete against summer holidays, the Euro 2016 football tournament and the Rio 2016 Olympics.
Of the relatively few that have been published, there have been a few gems. At the time of writing, the 5 blog posts on this list have been read by almost 60,000 of you.
If you haven’t seen any…Continue
Added by Lee Baker on August 18, 2016 at 5:30am — No Comments
Going somewhere nice for your summer holidays? Somewhere with a nice beach perhaps – Goa, Grand Cayman or Grimsby? Or a bustling city break? Wherever you’re going there’s sure to be long periods where you’ll sit for hours on end with little to do but read, so I thought I’d throw together a few free eBooks for your Kindle to while away the long hours in the airport, in a traffic jam or on the beach.
A mixture of books about data, analysis, statistics and R programming, they’re all very…Continue
Pretty much every data rookie starts with Excel. It is a wonderful program for storing, cleaning and analysing (yes, you read that correctly) your data.
Strictly speaking, Excel isn’t free, but really – who pays for it these days? If you buy a Windows PC or laptop it’ll usually come pre-installed, and if you get a new PC at work your employer will have it pre-installed for you. If you’re prepared to look the other way, there are guys who know guys who can get you a copy that fell off…Continue
Data scientist is the ‘Sexiest Job of the 21st Century’, so say Thomas Davenport and DJ Patil in their seminal 2012 Harvard Business Review article.
Since then, data scientists have been very much in demand and their wages have soared. Compared to statisticians, computer programmers and AI guys (who are still regarded as geeks), they are extremely well paid.
I keep hearing Data Scientists say that ‘Statistics is Dead’, and they even have big debates about it attended by the good and great of Data Science. Interestingly, there seem to be very few actual statisticians at these debates.
So why do Data Scientists think that stats is dead? Where does the notion that there is no longer any need for statistical analysis come from? And are they right?
Is statistics dead or is it just pining for…Continue
Unless you’ve recently graduated from one of the new Data Science courses that have been popping up online and in various universities around the world, then becoming a Data Scientist was most likely slightly accidental and was more about the journey than the destination.
Here’s my journey. See if you recognise any of it in your own:
I started out as a physicist and had a strong mathematical grounding, but I had a passion for medicine. After completing my bachelor’s…Continue