Technological advancements along with the changing business environment have made a career in data science extremely lucrative to be pursued. However, it can be a little intimidating to learn data science. Especially, in the initial stages when there are so many techniques and tools to focus on.
Professionals planning to build a career in data science have different kinds of curiosities about what all they should or should not learn. And also about the relevance of skills like… Continue
Added by Yoey Thamas on November 5, 2018 at 8:41pm —
The Ultimate R Cheatsheet
We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developing at Business Science University). The system is revolutionary for a number of reasons (we’ll get to these in a minute). The cornerstone of our teaching process is the Data Science with R Workflow that was originally taught by Hadley Wickham and Garrett Grolemund in the excellent… Continue
Added by Matt Dancho on November 5, 2018 at 3:30am —
I am an advertising and marketing veteran who is currently transitioning towards data science. The purpose of this write-up is to give you some baseline understanding of marketing, grounded in my professional experience. I am hoping that my write-up will help you gain a bigger share of voice when working with advertising & marketing teams. Eventually, you might ask bigger questions and thus move beyond just optimizing their work.
I will expand this post into a… Continue
Added by Rafael Knuth on October 25, 2018 at 2:00am —
An important principle of data science is that data mining is a process. It includes the application of information technology, such as the automated discovery and evaluation of patterns from data. It also includes an analyst’s creativity, business knowledge, and common sense. Understanding the whole process helps to structure data mining projects.
Since the data mining process breaks up the overall task… Continue
Added by Mehmet Gökce on October 24, 2018 at 8:58am —
Added by Ridhima Kumar on October 23, 2018 at 11:00am —
English is becoming the official language in the global business world, being currently spoken by approximately 1.75 billion people worldwide according to Harvard Business Review. While English is the fastest spreading language in human history, a significant proportion of businesses are still resistant to giving up… Continue
Added by Rafael Knuth on October 22, 2018 at 5:49am —
More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.
In this blog, we will be talking about different career paths and option in the… Continue
Added by Divya Singh on October 17, 2018 at 6:30am —
Latest update: November 16, 2018
Microsoft Excel has been around for over 30 years now, and chances are it's not going to change in the foreseeable future. In fact, Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel's massive user base of approximately 500 million worldwide. Tech-savvy small and mid-sized businesses embrace innovative alternatives to Excel. However,… Continue
Added by Rafael Knuth on October 9, 2018 at 7:30am —
This post came out of the inspiration I got after I read Rafael Knuth's Learning Sabbatical. I read part 1 of his sabbatical too and I felt compelled to put my experience and future plan .
Background: After… Continue
Added by Arnuld on September 24, 2018 at 12:30am —
Think of all the self-service things you use in a day. Petrol stations, ATMs, Online/Apps for stock trading, banking, and shopping. The idea behind all this:
- Convenience to customers
- Reduced costs for providers
- Freedom of choice about what I want, when I want without involvement of others in my minute-to-minute decisions.
We love to see and track health stats on Fitbit, Apple Watch, and Garmin.
The same goes with self service interactive… Continue
Added by Harshad Madhamshettiwar on September 13, 2018 at 3:00am —
At the time of writing this post, I am nine months into my learning sabbatical. You can read about my journey here: “Career Transition Towards Data Analytics & Science”. Today I will share with you how you can plan your own, unique learning sabbatical, regardless of its scope and duration –… Continue
Added by Rafael Knuth on September 12, 2018 at 7:00am —
What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even people in leadership positions, this is a question which is puzzling everyone in its own way.
Added by Vibhor Nigam on August 15, 2018 at 7:30pm —
Big Data is a big pain. Humans are generating data five times faster than the rate of economic growth. Each day we create 2.5 Exabytes of new data, ninety percent of which is unstructured. That’s roughly half a gigabyte of new data each day per person
Big Data is a big pain. Humans are generating data five times faster than the rate… Continue
Added by imranali on July 11, 2018 at 4:14am —
Many predict, and warn, that the Artificial Intelligence (AI) Revolution will change the world – and possibly the very essence of mankind. But society-changing revolutions are not new. History is full of such revolutions. What can we learn from those previous revolutions that might provide an indication as to how this AI revolution might play out?
We will examine two other revolutions – the Industrial Revolution and the Information Revolution… Continue
Added by Bill Schmarzo on June 26, 2018 at 3:30pm —
Summary: As advanced analytics and data science have matured into must-have skills, data science groups within large companies have themselves become much larger. This has led to some unique problems and solutions that you’ll want to consider as your own DS group grows larger.
It seems like only two or three… Continue
Added by William Vorhies on June 25, 2018 at 2:45pm —
During my first project in McKinsey in 2011, I served the CEO of a bank regarding his small business strategy. I wanted to run a linear regression on the bank's data but my boss told me: "Don't do it. They don't understand statistics". (We did not use Machine Learning but, 7 years down the road, I still believe we developed the right… Continue
Added by Pedro URIA RECIO on May 23, 2018 at 2:00am —
As an Applied Data Scientist at Civis, I implemented the latest data science research to solve real-world problems. We recently worked with a global tool manufacturing company to reduce churn among their most loyal customers. A newly proposed tool, called SHAP (SHapley Additive ex… Continue
Added by Civis Analytics on May 15, 2018 at 9:00am —
Enterprises are learning fast about the relevance and use of AI and Cognitive Computing platforms. Before adopting AI and Cognitive Computing platforms, enterprises must focus on designing the right strategy for their business. A data-driven strategy is very important to derive the maximum benefit from the platform that will help to interpret data and provide… Continue
Added by Dileep Srinivasan on May 2, 2018 at 5:30pm —
Developed at MIT’s Sloan School of Management in 1950s system dynamics is a methodological approach to model the behavior of complex systems, where change in one component leads to change in others (like the dominos effect with feedback loops added). This approach is widely applied in industries such as healthcare, disease research, public transportation, business management and revenue forecasting. The most famous application of system dynamics probably is in… Continue
Added by Mab Alam on April 23, 2018 at 5:30pm —
Summary: To take advantage of data science, an organization needs to consider their data quality and accessibility, and the willingness of their staff to use the results of data analysis results. Most importantly, an organization must have a clear understanding of how it expects to benefit from data science.
Can data science benefit your organization? If so, is your organization ready to take advantage of it?
“Data science” has… Continue
Added by Stephen R Poulin on April 10, 2018 at 9:00am —