What’s common between data scientists and business analysts? Both of them play with numbers. They’re both masters of calculations. They work parallelly to bring value to their respective industries. And the main objective of both professions is to grow business...
Data Science
Recent Articles
5 reasons why data scientists should use blockchain
Turn up yourself around, and chances are you will definitely find a brand-new application to this entire piece of innovation every other time. But when we talk about the Blockchain Marketing benefits then some of the quick questions appear in our mind like: Why is it...
5 things every good data science manager should be doing now
Let’s not sugar-coat this: Being a data science manager can be difficult. It isn’t like being a sales manager or a business development manager or any other manager of smart professionals. The objective of the data science department, for one, isn’t as clear cut–it’s...
How to export PDF data to Excel or CSV for easy analysis
A term “data scientist” was coined only a decade ago. Since then, the job of discovering trends and drawing conclusions from huge data sets has become one of the most sought-after professions across wide variety of industries. Data often comes in PDFs or their worse...
7 data science & machine learning tools for people who don’t know programming
Data science and machine learning are two of the hottest industries these days. Every fresh IT graduate wants to make a career in data science or machine learning. With tech giants and big brands pouring in millions of dollars in research and development in both data...
7 data science & machine learning tools for people who don’t know programming
Data science and machine learning are two of the hottest industries these days. Every fresh IT graduate wants to make a career in data science or machine learning. With tech giants and big brands pouring in millions of dollars in research and development in both data...
The perks of being a Data Scientist
As the field of data science becomes more popular, plenty of job opportunities are now available. If you are looking for data scientist jobs, you can find fresh listings on quite a few job portals every day. Even if you’re considering a change in your career or just...
Interview with Nicole Nguyen on trends and challenges of blockchain
We recently interviewed Nicole Nguyen, Head of APAC, Infinity Blockchain Ventures, who spearheads Infinity Blockchain Lab’s regional initiative in connecting major players and fostering an ever-growing blockchain ecosystem in Asia. She is a co-author of the first...
Top 6 Data Science, Machine Learning and AI Podcasts you must check out
Podcasts are a great way to educate yourself about a certain topic or to keep up with the latest trends in a particular area. They’re gaining more and more relevance, as the number of podcast listeners is on the rise. Currently, around 50 million Americans listen to...
8 common pitfalls that can ruin your predictions
Do you remember that feeling when you plan everything very precisely, but something happens unexpectedly and ruins your plans? It’s always an awkward situation, but it can also be a costly mistake in case it’s related to your business. Making a poor estimation is not...
5 cool mobile apps that will help you become a pro at coding
If you’re looking for a new skill to learn. Or boost up your resume. Then learning to code would probably be the best way to go. It’s a useful skill to have, whether or not you’re looking for careers in professional fields of web design, gaming, big data, artificial...
Top quick wins to boost your data analysis using Python
Python is a general-purpose programming language that is becoming an increasingly popular tool for data analysis. Its simplicity allows quick learning, so many data scientists choose Python for their professional needs. With the average national salary of Python...
Docker use cases – How to handle big data with Docker
Docker containers provide a way to package applications with everything needed to run them, including base operating system images, databases, libraries, and binaries. By running a Docker engine on a host machine, Docker containers interact solely with the kernel of...
20 amazing women in AI, Machine Learning & Data Science
For a very long time, women working in the fields of science, technology, engineering and math were unwelcome and underappreciated. Take for example the story of Katherine Johnson and her colleagues, who made remarkable contributions to the early years of NASA’s space...
The challenges of being a data scientist in a corporate world
It’s been a couple of years since the world was introduced to an exciting new career prospect. But the hype around data science still hasn’t died down. With it being predicted to remain the ‘hottest’ job for the next couple years, it doesn’t look like the buzz around...
Cognitive computing: Moving from hype to deployment
Although cognitive computing, which is many a times referred to as AI or Artificial Intelligence, is not a new concept, the hype surrounding it and the level of interest pertaining to it is definitely new. The combination of hype surrounding robot overlords, vendor...
Step by step approach to perform data analysis using Python
So you have decided to learn Python, but you don’t have prior programming experience. So you are confused on where to start, and how much Python to learn. These are some of the common questions a beginner has while getting started with Python(for data centric...
Components of Hadoop Architecture & Frameworks used for Data Science
Every business now recognizes the power of Big Data Analytics in developing deep actionable insights to enjoy business advantages. However, unlike before when businesses were required to deal with gigabytes of data, the present scenario requires to store and process...
Top 15 programming languages with the highest salaries
Technology always takes a dominant position in economy and society. Millions of people, therefore, found their careers, and many others have even dived into a completely different field just for entering this industry. Even so, enterprises are still trying hard to...
A data scientist’s story: Research into 1,001 data scientist profiles
In the age of big data and machine learning, there is one profession that stands out – data scientist. Data scientists are the investment bankers of the 21st century. The prestige associated with the title is undoubtedly sought after by most quant inclined candidates....
Ten handy python libraries for (aspiring) data scientists
Data science has gathered a lot of steam in the past few years, and most companies now acknowledge the integral role data plays in driving business decisions. Python, along with R, is one of the most handy tools in a data scientist’s arsenal. It’s also one of the...
What skills do I need to become a data scientist?
Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through...
Python vs R for data analysis: An infographic for beginners
I think you’ll agree with me if I say: It’s HARD to know whether to use Python or R for data analysis. And this is especially true if you’re a newbie data analyst looking for the right language to start with. It turns out that there are many good resources that can...
Review of top 10 online Data Science courses
As more and more of life’s day-to-day work and personal activities are being simplified by Big Data technologies, the need for data scientists has risen remarkably for the past several years. Companies around the world scamper desperately to grab people with data...
109 common data science interview questions to remember
Preparing for an interview is not easy – naturally there is a large amount of uncertainty regarding the data science interview questions you will be asked. No matter how much work experience or technical skill you have, an interviewer can throw you off with a set of...
R – What’s in it for me?
Although R has been around since the 90’s it’s only become widely known in the last few years. The explosion of data being produced by websites, the Internet of Things etc has led to great interest in how to analyze and use that data to best effect which is where R...
Four things you need to know about Cluster Programming
In the world of Big Data, information has evolved from being a merely passive construct into an active and dynamic abstraction. The language of this information is the computer code, but before diving into cluster programming, there are several things that you must...
How to get into data science from a non-technical background
DJ Patil, the current Chief Data Scientist of the United States and previously the Head of Data Products at Linkedin, is the one who first coined the term "data science". DJ posits that, “the dominant trait among data scientists is an intense curiosity—a desire to go...
Top 10 high paying countries for data scientist
Data—we are surrounded by it. We create 2.5 quintillion bytes of data every single day. More and more industries have begun to leverage data for business growth. And this has given rise to the big data revolution. The demand for data scientists has seen a steady rise...
This is how a typical day of a data scientist looks like
Data drives companies’ success. It is very important to manage data because it runs systems, businesses, academies and dialogue. We can predict natural disasters, improve social media reach, dethrone anarchists and sell more stuff using data. But how exactly do we use...
5 types of people you will meet in data analytics
*1 This is more inline with dealing with setting up large-scale data engineering platforms and integrating various technologies together. *2 These data scientists typically build the algorithm and productionize it through the data engineering infrastructure. E.g. They...
How to build a data science team [Infographic]
Businesses today need to do more than merely acknowledge big data. They need to embrace data and analytics and make them an integral part of their company. Of course, this will require building a quality team of data scientists to handle the data and analytics for the...
What I always wanted to know about big data*(*but was afraid to ask)
When I first heard the term Big Data few years ago, I didn’t think much of it. Soon after, Big Data started appearing in many of my conversations with many of my tech friends. So I started asking a very simple question 'What is Big Data?'. I kept asking that question...
Interview with Penske Media's Data Scientist – Andrew Maguire
Andrew has been working in Analytics/Data Science for 7 years in various roles across many different industries. He is a Data Scientist at Penske Media Corporation focusing on both data engineering infrastructure as well as applied business analytics. Prior to this...
What do data scientists do on a daily basis? [Infographic]
In simple terms, a data scientist’s job is to analyze data for actionable insights. Data scientists spend most of the time on data cleaning, making the data ready for the models and the cool algorithms finding the hidden patterns. Much time is also spent in writing...
Top big data misconceptions debunked
The idea and concept of “Big Data” has been around for a while now, however it seems there are many people who still believe it is shrouded in mystery. Therefore, in the following post we are going to debunk some of the top big data misconceptions. Every business has...
Time to Dive In: Leveraging public data with a data lake
This post has been co-authored by Adrian Botta and Meera Lakhavani. Real time, granular consumer insights are invaluable. Companies may know their customers’ basic demographics, but what if they leveraged customer travel patterns, activities, and situational...
Using data science for predictive maintenance
Remember a few years ago there were two recall announcements from the National Highway Traffic Safety Administration for GM & Tesla – both related to problems that could cause fires. These caused tons of money to resolve. Aerospace, Rail industry, Equipment...
Watch these movies for Big Data Analytics & Machine Learning
Business analytics & Big Data has not only got the business and technology industry excited, but have influenced many movie-makers across the last few decades. It would be a big miss for data scientists and business analysts alike if they don’t know these good...
Watch these movies for Big Data Analytics & Machine Learning
Business analytics & Big Data has not only got the business and technology industry excited, but have influenced many movie-makers across the last few decades. It would be a big miss for data scientists and business analysts alike if they don’t know these good...
Top 12 interesting careers to explore in big data [Infographic]
Did you just lose out on the promotion you were expecting and are now thinking about how you can take your career ahead? You could wait for the next promotion, but that would take some time. If changing a job is your next step, then this is the right time to explore...
Discover how big data is implemented in business today!
Big data is a collection of very large sets of data that stream into a business every day. These sets can be structured or unstructured. Big data can be analyzed to reveal trends, relations or patterns in the behavior of a company's customers. The analysis is...
What Pokémon has got to do with big data?
Last weekend I went to the park to take my baby daughter for a walk, but I knew that it would be a walk with an extra level of intrigue above the usual cooing, dribbling, and occasionally uncontrollable bawling. No, on the previous day I downloaded PokémonGo onto my...
Cohort analysis: Retention Rate Visualization with R
When conducting Cohort Analysis, one of the most important measures is Customer Retention Rate. I will share a few ideas for visualizing this parameter in this post. Last year I shared several charts for Customer Retention Rate visualization in this post. However, it...
Treat your data like an asset – Not an inconvenience
How do you look after your valuables? Do you use a safe deposit box or a postcode marker pen? You probably have the software installed on your smartphone to track it if it gets stolen, and no office is truly secure without CCTV. Taking care of business assets is key...
Data Science disruption: Virtual reality – challenges and limitations
For anyone familiar with the field of data science, it is easy to see how virtual reality can be a natural partner for big data challenges. Oftentimes, the most difficult aspect concerning big data is not the visualization process itself per se, but rather how well...
Attribution model with R: Markov chains concept – Part 1
As we know, a customer usually goes through a path/sequence of different channels/touchpoints before a purchase in e-commerce or conversion in other areas. In Google Analytics we can find some touchpoints more likely to assist to conversion than others that more...
How your small business can use big data successfully
The great thing about small businesses is their intimate appeal and unique nature. Without the little guys, the business world and the products and services it delivers would be homogenized and dull. But enterprises are constantly looking at ways to dominate the...
Do you need a Chief Data Scientist?
If you are considering recruiting a C-level executive in charge of data science, you are not alone. More and more analytics-driven companies are finding office space for this critical role. Even the Commander-in-Chief is jumping on the chief-of-data-science bandwagon....
Are you still in the dark about the quality of your own data?
More and more businesses are waking up to the threat of poor data quality. We’re gradually seeing the risk being taken more seriously as the shock waves of poor management are felt. Yet for many businesses, data quality is seen as an abstract concept; difficult to...