“Artificial Intelligence is one of the most important things humanity is working on. It is more profound than electricity or fire,” says Google CEO Sundar Pichai.
Comparing artificial intelligence with fire or electricity may perhaps be a bold statement. However, you never know, it may just be true.
Artificial intelligence is on track to take over the world. By 2030, every area that is influenced by AI will cause a huge impact on our daily lives, a study by Stanford…Continue
Added by Yoey Thamas on November 7, 2019 at 8:08pm — No Comments
The data science valley of despair is real. Time after time, leaders who’re well-versed in case studies and industry research extolling the returns of data-driven insights seek to innovate their business—and land in a hole of frustration and write-offs. It may be more accurate to call it a crater of despair given that Gartner predicts 85% of data science projects will fail (2018). What do the 15% of successful data science projects have in common? A…Continue
You gave everything that you had in your Data Science training. What is next? The hunt for a suitable job, right? Do you know what all the career opportunities you are likely to have once your training is over? If your answer is a no, then this is the article specially for you. Also, if it is yes, then also you can give this article a read as you may learn something new. This article will list out the myriad of career opportunities that you will have once your training in Data Science is…Continue
Added by Vikas Arora on April 8, 2019 at 4:00am — No Comments
This is part 2 of a 3 part series: “How to make your mark on the world as a talented, socially conscious data scientist.”
You can find part 1 here: “Choose a domain which enables you to create…Continue
This is the first article in what will be a three-part series:
"How to make your mark on the world as a talented, socially conscious data scientist."
Added by Marshall Lincoln on February 13, 2019 at 5:50pm — No Comments
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 — No Comments
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
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
I am finishing up my masters in Predictive Analytics at Northwestern which the curriculum has been my only experience in modeling data. All of my data related professional experience has been within the database layer as well as data visualization which I have a great passion for.
I feel that I am at a vital stage in my career as I want to start down the data science path but the experience required in the field is quite extensive.
I would like to ask for any recommendations…Continue
Added by Joshua Tikal on December 1, 2014 at 3:00pm — No Comments
The ‘Bell curve’ or the ‘Gaussian bell curve’ is one of the fundamental concepts on which most of the statistical analysis is based. From social sciences to astronomy to financial services- most of the application of statistics in the real world relies on the assumption that the data being analysed is distributed in the shape of the bell…Continue
Added by Gaurav Vohra on January 15, 2013 at 12:29am — No Comments
Merriam-Webster defines analytics as “the method of logical analysis.” In business, analytics is the process of analyzing quantitative data to glean information about performance. This process is often used in marketing departments and in risk management. Analytics is also a very important tool for the management and maintenance of websites.
The field of analytics is growing, as more companies realize the benefits of the method. This is especially true for internet-based…Continue