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5 Habits of Highly Successful Data Scientists

5 Habits of Highly Successful Data Scientists

Suppose, you have two resumes of two data scientists in your hands: A and B. Both of them possess similar backgrounds and expertise: qualifications, platforms, languages, frameworks, methodologies, industries and more. Theoretically, they are more like the same person – on paper. Yet there are few things that reflect that A is more successful than B – but how you determine that?

Here we’ve whittled down a set of habits or traits of successful data scientists that make them stand out from the rest of the pack.

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How AI Is Going To Change the Marketplace: Top 6 Trends to Fix Your Eyes in 2018

According to a recently published report from McKinsey – “Alphabet invested roughly $30 billion in developing AI technologies, and Baidu, which is the Chinese equivalent of Alphabet, invested $20 billion in AI last year.”

How-AI-Is-Going-To-Change-the-Marketplace

Not only companies, but reports suggest Chinese government is pursuing AI technology relentlessly in an attempt to drive the AI innovation, singlehandedly.

Continue reading “How AI Is Going To Change the Marketplace: Top 6 Trends to Fix Your Eyes in 2018”

Here’s Why Indian Techies Need to Imbibe Rich AI and Data Science Skills to Ride High This 2018

Here’s Why Indian Techies Need to Imbibe Rich AI and Data Science Skills to Ride High This 2018

Amid growing anxiety over machines replacing human intelligence, Indian IT sector is seeking out expert skills in new technologies, involving big data, artificial intelligence and machine learning. There exists a high demand for skills in such newer streams of technology, which now forms the backbone of businesses. It’s not like these jobs appeared out of thin air; after being labeled as “niche skills” for several years, they are now making their way into the mainstream industry. 

This year, this trend is going to gain more momentum. It is expected to create 180000 to 200000 new jobs in 2018, mostly related to these new technologies – Alka Dhingra, the general manager of IT staffing at TeamLease Services, stated. It is equally applicable for both large service organizations as well as budding startups.

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The Hot-List:

Here’re the notable areas, where job creation will hit in 2018:

Artificial Intelligence

Almost all Indian IT bigwigs are going gaga over AI. TCS, Infosys, Flipkart – nearly all native companies have started delving deeper into data to scale up their business operations and secure success in the future.

Though the world is being ruled by MACHINES, at the same time it’s HUMANS who train machines the way they function to perform human-like tasks. For that reason, the country’s IT unicorn, Tata Consultancy Services has trained more than 200000 employees about IoT and AI. Also, last month, India’s e-commerce giant, Flipkart launched an AI-inspired initiative known as AI for India, through which it has planned to leverage all the data it has gathered over the last few years to frame robust AI-driven solutions that will boost their operational activities further. Millions of dollars are being invested in this program – a company representative shared.

All this is going to need professionals skilled in the domains of deep learning, natural language processing and machine learning – look up to DexLab Analytics for data science online courses.

Data Science

For several years, native internet companies have been accumulating massive consumer data, which they now plan to mine it to their best interests. Just like Flipkart’s AI for India initiative, food-delivery-tech startup Swiggy is also working hard on its consumer data so that it can start making deliveries even more efficient and faster.

Some HR experts say that pharmacy analytics – an amalgamation of healthcare and analytics will also generate several new jobs for data scientists this new year– at present, machine learning, data analytics and data scientists’ jobs are the most searched jobs on all leading job portals in India.

Blockchain Technology

While bitcoin and cryptocurrency takes the world by storm, top-notch market specialists predict this advanced field of technology is going to create an exploding number of jobs. Cryptocurrency has already started drawing in a large pool of Indian investors, and legal experts are now asking for regulations.

“There could be regulations (for bitcoin) coming, and hence somebody who knows the subject is going to be in demand,” Aditya Narayan Mishra, CEO of CIEL HR Services, said.

Digital Marketing

Digital technologies are now omnipotent. All startups and matured companies across every domain are adopting suave digital solutions for various functions, like HR, manufacturing, operations, warehousing and communications. In the same manner, marketing too is not limited to its erstwhile conventional mediums; digital marketing is the new talk of the town.

“With more companies in India wanting to increase their digital presence, there is a visible surge in job searches for digital marketing jobs,” Sashi Kumar, the managing director of jobs portal Indeed India, said.

To learn more about how machine learning and artificial intelligence can help transform your business, enroll in a machine learning training course. DexLab Analytics’ Machine Learning Using Python course is superb; it helps students grasp the concepts better.

 

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Data Science Jobs: Luxury Today, Necessity Tomorrow

Data Science Jobs: Luxury Today, Necessity Tomorrow

A general consensus: the scene of employment is changing. The jobs in data science are spiking up, and at a robust rate. According to World Economic Forum in 2016, a nuanced state of affairs with employment fluctuations is likely to happen across sectors, jobs and geography in the coming years – hold your horses and wait with bated breath!

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Job Opportunities till 2020

A wide set of factors are expected to bring upon different effects on the varying segments of employment market till 2020. For an instance, recent demographic stats in the emerging job market are likely to ace up employment by 5% approx worldwide. On the other side, the surging geopolitical instability across the globe could reduce employment by 2.7%. Amidst this, artificial intelligence, touted as a replacement key for manpower is likely to have a minute effect on job reduction by a mere 1.5%.

Considerably, the overall figure points that the computing and mathematical jobs are going to increase by 3.2% – because a sturdy compilation of technological and geopolitical instability effect is expected to generate an altogether positive effect across various employment chains, suggesting the instability will in return result in a higher demand for programming, computing and modeling.

However, recruitment procedure is going to get more challenging.

Across every sector and every job family the perception is that recruitment will be more challenging in future #ai #sasacademic

Lower University application rates

Following the latest trends, the applications to universities by students have taken a halt – in UK, the number of people applying to universities has fallen drastically – the reason anticipated is the result of Brexit.

But irrespective of any reason, lower application rate is going to affect graduate recruitment. The emergence of a gig economy is largely considered a positive effort, but a lack of benefits like annual leave may cause some hindrance in the effectuality. Also, AI is resulting in a less number of job generation, the automation of entry-level jobs mean lesser jobs.

Hone your skills further after employment

While undergraduates and postgraduates eyes employment as the end of their education, for employers it’s an entirely different ball game. For them, employment is the just a stepping stone in the process of ongoing training to make sure the fresh workforce develops cutting-edge skills. This stands true especially in complex job areas of data science, where a shortage of graduates exists. As a result, motivate your existing workforce to develop required data analytics skills in the most accomplishing way to garner expertise and thorough know-how.

The most desirable quality in a new #DataScience hire is their dedication to continually learn more. #sasacademic #ai

To get the best kind of data science online training, drop by DexLab Analytics Delhi – it is a prime learning platform in India that helps you remain up-to-date with the latest tools and trends. The field of data analytics is evolving rapidly and continuing professional development is the need of the hour.

 
Source blogs.sas.com
 

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Flipkart Launches a New Internal Wing AIforIndia to Bet Big on Artificial Intelligence

Flipkart is strengthening its base in the field of Artificial Intelligence, and so far, this year has been treating them well. After pegging fresh influx of funds, appointing a new CEO at the helm of affairs and reportedly thwarting its tailing rival, Amazon in September, Flipkart is all set to enter the most promising arena of artificial intelligence and machine learning, NOW.

 

Flipkart Launches a New Internal Wing AIforIndia to Bet Big on Artificial Intelligence

 

In an interview to a leading daily journal, Sachin Bansal, the notable co-founder and Chairman of Flipkart is found saying – “we ready to invest hundreds of millions of dollars” in the AI gambit over the next few years. “This is the next big thing for us, where we are betting big on the use of AI and machine learning to solve problems at Flipkart. India’s problems are unique and we need to apply AI in the ecosystem to solve Indian problems. We believe that some of the focus areas for AI in developed countries cannot be applied for India. At Flipkart, we will solve problems differently because the underlying problems (in India) are different,” he states, adding that they has already started building the needed infrastructure, recruiting a dozen AI buffs and establishing partnerships with crème de la crème educational institutions, including the IITs to give a robust push to its inspiring AI initiative.

Continue reading “Flipkart Launches a New Internal Wing AIforIndia to Bet Big on Artificial Intelligence”

Data Science and Machine Learning: In What State They Are To Be Found?

Keen to have a sweeping view of data science and machine learning as a whole? 

Want to crack who is playing tricks with data and what’s happening in and around the budding field of machine learning across industries?

Looking for ways to know how aspiring, young data scientists are breaking into the IT field to invent something new each day?

Hold your breath, tight. The below report showcases few of our intrinsic findings – which we derived from Kaggle’s industry-wide survey. Also, interactive visualizations are on the offer.

  1. On an average, data scientists fall under the age bar of 30 years old, but as a matter of fact, this age limit is subject to change. For example, the average age of data scientists from India tends to be 9 years younger than the average scientists from Australia.
  2. Python is the most commonly used language programs in India, but data scientists at large are relying on R now.
  3. Most of the data scientists are likely to possess a Master’s degree, however those who bags a salary of more than $150K mostly have a doctoral degree under their hood.

Who’s Using Data?

A lot of ways are there to nab who’s working with data, but in here we will fix our gaze on the demographic statistics and the background of people who are working in data science.

What is your age?

To kick start our discussion, according to the Kaggle survey, the average age of respondents was 30 years old subject to some variation. The respondents from India were on an average 9 years younger than those from Australia.

What is your employment situation?

What kind of job title you bag?

Anyone who uses code for data analysis is termed as a data scientist. But how true is this? In the vast realm of data science, there are a series of job titles that can be pegged. For instance, in Iran and Malaysia, the job title of data scientist is not so popular, they like to call data scientists by the name Scientist or Researcher. So, keep a note of it.

How much is your full-time annual salary?

While “compensation and benefits” ranked a little lower than “opportunities for professional developments”, the best part remains it can still be considered a reasonable compensation.

Check out how much a standard machine learning engineer brings home to in the US

What should be the highest formal education?

So, what’s going on in your mind? Should you get your hands on the next formal degree? Normally, most of the data scientists have obtained a full-time master’s degree, even if they haven’t they are at least data analytics’ certified. But professionals who come under a higher salary slab are more likely to possess a doctoral degree.

What are the most commonly used data science methods at work?

Largely, logistic regression is used in all the work areas except the domain of Military and Security, because in here Neural Networks are being implemented extensively.

Which tool is used at work?

Python was once the most used data analytics tool, but now it is replaced by R.

The original article can be viewed in Kaggle.

Kaggle: A Brief Note

Kaggle is an iconic platform for data scientists, allowing ample scope to connect, understand, discover and explore data. For years, Kaggle has been a diverse platform to drag in hundreds of data scientists and machine learning enthusiasts, and is still in the game.

For excellent data science certification in Gurgaon, look no further than DexLab Analytics. Opt for their intensive data science and machine learning certification and unlock a string of impressive career milestones.

 

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What Makes Artificial Intelligence So Incredibly Powerful?

What Makes Artificial Intelligence So Incredibly Powerful?

Do you also feel that Artificial Intelligence (AI) is getting eerily powerful day-by-day? That is because the structures of Artificial Intelligence exploit the very fundamental laws of physics and of the universe as per latest research.

These new findings help to answer a long-awaited mystery about a category of AI that employs an interesting strategy called deep learning. These are programs based on deep neural networks hence, the name deep learning. The way this works is that they have multi-layered algorithms in which the lower-level calculations feed into the higher level ones within the hierarchy. These deep neural networks often perform surprisingly well when it comes to solving problems which are highly complex, like beating the world’s best player of a strategic board game called Go or categorising cat photos, however no one truly knows why… Continue reading “What Makes Artificial Intelligence So Incredibly Powerful?”

Are you taking care of your digital self?

Whether you like the idea or not, we all have a digital self, a facade that we put on to engage and participate in the technological world! As per psychoanalysts and physicians, a theory proposed by them says that there is a ‘true self’ that is the instinctive core of our personality, it must be realized and nurtured. And there is also a ‘false self’ that is built to protect this true self. From what you ask? From the dangers of insults and vulnerabilities!

Dexlab blog for 12th Oct

Our true selves are usually complex and fragile but it ultimately remains to be our essence. In trying to share that self with the world, we send out our decoy selves to take on the day-to-day vulnerabilities, challenges, and anxieties that come forth.

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High Demand for Data Scientist profiles in LinkedIn

High Demand for Data Scientist profiles in LinkedIn

Currently, Data Science experts are the most sought candidates in the world. According to a research report published by DJ Metrics, the number of ‘Data Scientist’ profiles in LinkedIn has nearly doubled over the last few years. At present, there are more than 11,400 data scientists on the professional networking website, out of which, 52% have added the particular job description (read Data Scientist) during the period between 2012 and 2015.

About the Research

DJ Metrics have taken into account 60,200 LinkedIn profiles of professional experts, while 27,700 records of Educational data and 254,000 records of skills sets were also used to conduct an analysis. Additionally, they have analysed the database of 6200 companies that have provided employment to the Data Scientists. The names of the Companies were collected by analysing the profiles of the Data professionals, since they have listed the names of their employers.

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Great Career Opportunities

Great Career Opportunities

Researchers are forecasting that there will be a steady rise in the demand for trained Data Scientists, because of the increased adoption of Big Data and Business Intelligence by the leading global companies. High-end business organisations like Microsoft and Facebook are going through a continuous recruitment phase, as these companies had accelerated their hiring process by 151% and 39% respectively in 2014, as compared to what they had done in 2013.

According to the research report, about 65% of the total recruitments were carried out by the following industries:

  • Information Technology and Services, Internet and Computer Software Sector: 9%
  • Education: 3%
  • Banking and Finance: 2%
  • Marketing and Advertising: 2%

Big Data demands Bigger Skills

Big Data demands Bigger Skills

 DJ Metrics has analysed the database of 254,000 skills in order to figure out the growth in the number of skilful Data Science professionals. The results are significant, as apart from the general ‘power’ skills; namely, Data Analysis, Analytics and Data Mining, the top skills found among the vast number of profiles included R, Python, Machine Learning, MATLAB, JAVA, Statistics and SQL. Surprisingly, the Chief Data Scientists are found to have the least technical skills, as only 27% of the profiles had listed Python, while 26% listed R as their technical skill sets. On the other hand, 52% and 53% Junior Data Scientists have listed Python and R, respectively.

Top Recruiters

Top Recruiters

If you see the chart above, you will see that Microsoft and Facebook are the top recruiters over the given period. Surprisingly, Google has not made it to the top 10, although it has recruited quite a number of Data Science professionals. The reason may be that the Data Scientists at Google are called ‘Quantitative Analysts’, which is probably used by their employees while listing their designation on LinkedIn. Since, LinkedIn has researched about the general Data Scientists; they may not have detected the alternate titles.

Countries with highest Data Scientist population

Countries with highest Data Scientist population

Almost 55% of the total Data Scientists in the world are currently located in the United States of America (USA), which makes the top of the list. The second country with maximum numbers of Data Science professionals is United Kingdom (UK), while the third position is occupied by India.

Are you interested in coveted data science online courses to upgrade your data science skill-set? Look no further than DexLab Analytics. They offer cutting edge Data Science training in Gurgaon for aspiring candidates.

 

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