Your Essential Weekly Guide to Data Science

Reading Time: 2 minutes

Data science enthusiasts are always looking for new developments and advances made in the field. With that in mind, we try to bring you data science news that showcase the most relevant trends for data science professionals. This week we have curated articles that talk about the learning resources, popular skills, job requisites, entrepreneurial ventures and more.  Read along.

10 Great Python Resources for Aspiring Data Scientists

Data scientists are often required to know more than one programming language. However, in most cases, Python is a language of choice for many. Since Python is extremely versatile, a thorough knowledge of this language helps data scientists in a number of tasks – hence its popularity. These Python resources are a great way of learning the language, especially if you are getting started in the field.

How to maintain your big data analytics software

When a company buys or subscribes to an analytics solution, keeping the work current can be a challenge. But maintaining that software is key to helping it enjoy a long, useful life. However, there are several challenges in the way to that. This article breaks down the essentials of analytics maintenance softwares so that companies can easily keep using those for a long period of time.

Why the newly minted data scientist wants a new job

Data science is one of the hottest jobs of the 21st century and professionals walking into this field often don’t require a strong background in technology. However, candidates picking up data science skills frequently face a mismatch of job expectations and reality. A large number of data scientists are looking for new jobs since they feel they are stuck with a job that does not utilise their skillset correctly.

Skills A Data Scientist Must Have To Land A Job: AIM Skills Study 2019

In a recently published report, AIM showcases the top skills required for a career in data science. Since data science is an evolving field, the trending subset of skills and tools keep changing every year. These skill sets mentioned in this article are the most relevant ones of 2019 and the upcoming years. Python has emerged as a majorly preferred programming language, while GPU hardware and CUDA knowledge have become essential to work with huge sets of data. 

Top 6 Priorities Data Science Startup Founders Shouldn’t Ignore

As an increasing number of data science experts opt for entrepreneurial ventures, startup companies flourish all over the country. Data science entrepreneurship requires a lot of patience, perseverance and above all, knowledge of the latest trends of the domain. This article lists a number of data science priorities that professionals should not ignore in order to achieve success. 

If you are looking for similar articles on data science, keep an eye on this space. We bring you more!

Your Essential Weekly Guide to Data Science and Analytics- September Part III

Reading Time: 3 minutes

Owing to its diverse set of applications, data science has emerged as one of the most in-demand career paths for young professionals. Upskilling in data science will certainly set you in the path of a high-flying career. However, upskilling alone is never enough in an ever-evolving domain like data science. You have to closely follow the latest trends and technological developments – which we understand can be quite a task sometimes, which data science blogs to follow, which trends to watch? We have put together a list of news articles that highlight the most impactful developments and trends. Read through to stay updated.

Top 10 Data and Analytics Trends to Watch Out in 2020

With 2020 already a mere last quarter away, data science enthusiasts are trying to look into the trends that will dominate the domain in the coming year. Augmented Analysis is among the top trends of data science in 2020. It combines ML and AI applications to change how analytics content is created, devoured and shared. The augmented analysis will be driving data science, ML platforms and embedded analytics. Data analysis automation, continuous intelligence, NLP and conversational analytics are among the other data science trends that will take over the market.

Explorium secures $19M funding to automate data science and machine learning-driven insights

Explorium, an Israel based startup has received a $19 million funding to work towards automating its data science and machine learning platforms. “Just as a search engine scours the web and pulls in the most relevant answers for your need, Explorium scours data sources inside and outside your organization to generate the features that drive accurate models”, says co-founder and CEO Maor Shlomo. The company works in three stages- data enrichment, feature engineering and predictive modelling to help companies derive insights and add features to their applications

Data science safeguards digital transactions

The mass adoption of smartphones and other smart devices has lead to the digitization of money worldwide. Philippines is among the countries to head towards a digital economy steadfastly. While digitization of money brings convenience, it also exposes organizations and individuals to cyber crimes. Digital payment platforms are focusing on ways to secure financial transactions from any kind of cyber attack. Data science applications are helping in analysing and predicting ways of doing that.

“For consumers, there is really no substitute to awareness,” said Nagesh Devata, general manager of Southeast Asia Cross Border Markets for PayPal. “For enterprises, we need to move from reactive to predictive models in risk management.”

Which Data Science Skills are core and which are hot/emerging ones?

Recent surveys revealed that professionals think that 30 data science skills are the most coveted in data science resumes. Tensor flow, deep learning, Apache Spark, Pytorch are among the top data science tools and skills that are becoming increasingly relevant today. SQL and ETL Data Preparation, on the other hand, are losing popularity as more advanced technologies and tools are taking over.

University of Virginia’s data science school gets state approval

University of Virginia has finally received an approval for its data science school from the State Council of Higher Education for Virginia. “I am delighted that the School of Data Science has cleared its final hurdle and can officially move forward,” said UVA President Jim Ryan in a statement. “I want to thank the State Council of Higher Education for Virginia for sharing our excitement in this proposal, and Phil Bourne and his team at the Data Science Institute for their hard work.” The approval was pending for 8 months after they had received a $120 million donation.

If you found these articles to be interesting then head over to our Data Science blog to get more updates.

Your Essential Weekly Guide to Artificial Intelligence – August Part IV

Reading Time: 2 minutes

Artificial Intelligence is marching forward at a quick pace and organizations have started reaping results and revenue from their AI initiatives. There’s no doubt that AI is here to stay, but with these advanced technologies becoming a part of day to day human life, many concerns are arising around the success and ethics of Artificial Intelligence. We try to highlight a few in this week’s AI digest.  

AI Can Read Your Emotions. Should it?

There are obvious advantages to our machines being more sensitive to our needs. It should mean a better, more intuitive service with less time wasted. Also, probably a billion things we haven’t thought of yet. But emotion AI raises concerns, too. Do we want our emotions to be machine-readable? How can we know that this data will be used in a way that will benefit citizens? …. [Read More]

Will China Lead The World in AI by 2030?

China not only has the world’s largest population and looks set to become the largest economy — it also wants to lead the world when it comes to artificial intelligence (AI). In 2017, the Communist Party of China set 2030 as the deadline for this ambitious AI goal, and to get there, it laid out a bevy of milestones to reach by 2020. As this first deadline approaches, researchers note impressive leaps in the quality of China’s AI research…. [Read More]  

What Does an AI Ethicist do?

Microsoft was one of the earliest companies to begin discussing and advocating for an ethical perspective on artificial intelligence. Nadella’s primary focus was on Microsoft’s orientation toward using AI to augment human capabilities and building trust into intelligent products. With these foundations laid, in 2018, Microsoft established a full-time position in AI policy and ethics. Tim O’Brien, who has been with Microsoft for 15 years as a general manager, first in platform strategy and then global communications, took on the role…. [Read More]

Five Experts Share What Scares Them The Most About AI

Futurism asked five AI experts at the conference about what they fear most about a future with advanced artificial intelligence. Their responses, below, have been lightly edited. Hopefully, with their concerns in mind, we’ll be able to steer society in a better direction — one in which we use AI for all the good stuff, like fighting global epidemics or granting more people education, and less of the bad stuff…. [Read More]

To read more about Artificial Intelligence and it’s career prospects, visit:

Happy Reading!





Your essential weekly guide to Data and Analytics – July 17

Reading Time: 2 minutes

Stay updated with the Business Analytics applications, and advancements across the globe.

Analytics Talent Growing Fastest in India: Report

The worldwide advanced analytics talent pool is expected to reach 1 million people in 2020 — double of the 2018 level — and much of that is coming from India, says a report by global consultancy firm Bain & Company. Until now, the US was the leading source of advanced analytics-trained talent.

South African Schools Will Soon Get These New Subjects

Data Science & Analytics | Blockchain | Artificial Intelligence | Robotics | Quantum Technologies

The South African government has committed to a ‘skills revolution’ that will give the country human capital required for a digital economy, says President Cyril Ramaphosa. 

This Data Analytics Trend is Turning The Industry on Its Head

According to a new report by analyst house Gartner, Inc., augmented analytics is the most disruptive (and pervasive) data analytics trend right now. In fact, the researcher believes augmented analytics will be the dominant driver of new business intelligence and data science purchases by the end of next year. The prediction comes from Gartner’s paper entitled Top 10 Data and Analytics Technology Trends That Will Change Your Business

Amazon Plans to Spend $700M to Retrain a Third of Its Workforce For Data, Analytics Roles

To keep up with the demand for data scientists and software developers within its own ranks as well as in other industries, Amazon pledged Thursday to spend more than $700 million to upskill 100,000 of its employees, about a third of its U.S. workforce.

How Big Data Can Improve eCommerce for Businesses and Customers

Businesses are taking advantage of the expanding eCommerce market to sell their products or services in a more efficient framework. This is made possible by the collection of vast amounts of information on online purchase activities, which is stored in big data repositories. Read how big data can improve a business’ eCommerce performance and deliver enhanced services to its customers.

Happy Reading!