A study on hiring trends states that 97,000 plus positions related to analytics and data science are vacant in India. A dearth of qualified professionals in this field has created such large vacancies in this field. In 2019, the number of vacant positions in this field increased by 45%, indicating the industry’s massive talent gap. 

The data science and business analytics field has revolutionized the industry and is evolving rapidly. Hence, professionals aspiring to make a career in this field need to upskill themselves. And this skill-gap has provided many institutes across India a chance to offer data science and business analytics courses. Today, there are several institutes offering these courses. However, if you narrow your search to a high-quality and reliable big data training institute, you will get only a handful of results. Here we present some of the best analytics courses in India

1. Post Graduate Program (PGP) in Data science by Insofe Education: 

The Post Graduate Program (PGP) in Data Science from Insofe Educations is a runaway hit among data science aspirants for its high-quality course content and flexible learning methodology. The course equips participants in necessary data science skills and works as a strong foundation for their careers. Importantly ten collaborative programs globally accept this course as their first-semester curriculum making it the only certificate course of such kind. 

The PGP course in data science by Insofe consists of 16 credits. It covers crucial topics like probability and statistics for data science, methods and algorithms in Machine Learning, and design thinking for data scientists. The 1:10 faculty ratio ensures all learners receive proper attention, while weekly group discussions with mentors help learners clear their concepts and doubts. Plus, the program has boot camps and hackathons to brush-up on Python and solve actual data science problems. The course has two learning modes. The live mode is for ten months, and the classroom mode is for six months. The course has more than 30 quizzes and 50 evaluations to give performance insights to participants. 

2. Post Graduate Program in Data Science by Praxis Business School: 

The nine-month post-graduate program in data science by Praxis School is a valuable learning experience for all enthusiasts. It is a full-time program for nine months. Praxis Business school offers this course in 3 cities – Bangalore, Kolkata, and Mumbai.

It is a full-time course. So it needs commitment and cannot be done while continuing a job. The full-time commitment ensures better completions and focused learning for the participants. 

3. MBA in Data Sciences & Data Analytics: 

If you are looking for an MBA, then the Symbiosis institute’s MBA in Data Science and Data Analytics is the ideal course for you. This course is a full-time weekday two-year program conducted by Symbiosis Centre for Information Technology. The program has a total of 1500 course hours. The comprehensive course-work allows students to get global competencies, and the institute has designed it meticulously to fuse technology and market trends. The course also offers guaranteed job placement for students. The frequent guest sessions, industry connections, and alumni meetings make this course highly engaging. 

4. Data science 360: Specialization course by AnlytixLabs

This comprehensive extensive data course has an effective pedagogy, gender diversity, and graduation outcomes. The program offers extensive tools to learners during its 224 hours of learning sessions. 

It provides a one-on-one mentorship program and also has an industry partnership with IBM to deliver the course. The duration of this course is nine months. 

5. Post Graduate Program In Data Analytics by Imarticus: 

Imarticus institute offers an offline course in PGP in Data Analytics. With five offline classes of 4 hours each per week, the program expects an extensive time commitment from participants. It covers tools like Python, R, SQL, Hadoop, Spark, Tableau, and PowerBI and offers hands-on projects, boot camps, hackathons, and personalized Capstone projects. 

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Do you want to minimize risk and have your business succeed in increasingly uncertain times? If so, then studying data science could be your next best step.

Before you take any decision to study, it is vital to read as widely as possible around the subject and all the possibilities available. There are numerous and varied resources out there and as many buzzwords as there are bees. So, get as much information as you can and read it.

Here are a few introductory tips as to why data science may be the perfect study choice for entrepreneurs and wantrepreneurs such as yourself in 2021 and beyond.

Data Science Will Help You Understand Your Business

For improved enterprise management and the protection of profitability, you need to understand your business. What are the historical risks? What are the key features of the business over time? How can you avoid these in the future? In order to answer these questions, you will need to have a wealth of information at your disposal and be able to manipulate this data to create possible business planning scenarios. That process is encapsulated in data science. It’s a complex process made easy with the data science degree Merrimack college has to offer. Taking a qualification like this will enable you to learn crucial skills that can help solve real problems that your business could come to face.

Keep Your Business at the Cutting Edge

Current uncertainties in the market have increased all business risk, and it is now more pertinent than ever to use everything at your disposal to keep your enterprise profitable. A growing mainstream/ big business trend is the use of data science to improve risk management. In this instance, if data science is good for mainstream business, just maybe it’s good for us. Furthermore, studying data science will provide for one of those crucial entrepreneurial skills, allowing you to express your willingness to learn.

One of the Fastest Growing Professions

A qualification in data science currently offers you the security that many entrepreneurs can only dream of. As once you understand the importance of big data and data science for your business, not only will you improve risk management for your enterprise, but you have at your fingertips the skills for a top professional job or consultancy option.

You can be a data scientist, research scientist, or senior research analyst, just to mention a few of the numerous professional jobs a data science degree or course can get you.

Understanding Data Science Can Reduce Your Exposure to Business Risk

Using as much historical data as can be collected and having a keen understanding of current trends, coupled with data science, allows the building of sensible business scenarios that serve to plan around risk. A good understanding of data science will allow you to mitigate the risk, dealing with it using advanced planning and adjustments made to the operations.

What Now?

If you’re serious about data science as your way to improve your career or business, then your next step is to strategize as to the many possible scenarios that big data mining may provide your business. It seems a lengthy process but can be simplified with the right knowledge base. Studying data science is thus the most sensible route. To gain a genuine understanding of the algorithms used to collect and process big data in a scientific way to improve the manner in which a business deals with risk, a professional data science qualification may be for you.

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Experts from the University of Leicester have released Neuroscience  that breaks with the past fifty years of neuroscientific opinion, arguing that the way we store memories is key to making human intelligence superior to that of animals.

It has previously been thought and copiously published that it is ‘pattern separation’ in the hippocampus, an area of the brain critical for memory, that enables memories to be stored by separate groups of neurons, so that memories don’t get mixed up.

Now, after fifteen years of research, Leicester University’s Director of Systems Neuroscience believes that in fact the opposite to pattern separation is present in the human hippocampus. He argues that, contrary to what has been described in animals, the same group of neurons store all memories. The consequences of this are far reaching, as such neuronal representation, devoid of specific contextual details, explains the abstract thinking that characterizes human intelligence.

Leicester University’s Director of Systems Neuroscience Professor Rodrigo Quian Quiroga explains,

“In contrast to what everybody expects, when recording the activity of individual neurons we have found that there is an alternative model to pattern separation storing our memories.

“Pattern separation is a basic principle of neuronal coding that precludes memory interference in the hippocampus. Its existence is supported by numerous theoretical, computational and experimental findings in different animal species but these findings have never been directly replicated in humans. Previous human studies have been mostly obtained using Functional Magnetic Resource Imagining (fMRI), which doesn’t allow recording the activity of individual neurons. Shockingly, when we directly recorded the activity of individual neurons, we found something completely different to what has been described in other animals. This could well be a cornerstone of human’s intelligence.”

The study, ‘No pattern sepaeration in the human hippocampus’, argues that the lack of pattern separation in memory coding is a key difference compared to other species, which has profound implications that could explain cognitive abilities uniquely developed in humans, such as our power of generalization and of creative thought.

Professor Quian Quiroga believes we should go beyond behavioural comparisons between humans and animals and seek for more mechanistic insights, asking what in our brain gives rise to human’s unique and vast repertoire of cognitive functions. In particular, he argues that brain size or number of neurons cannot solely explain the difference, since there is, for example, a comparable number and type of neurons in the chimp and the human brain, and both species have more or less the same anatomical structures. Therefore, our neurons, or at least some of them, must be doing something completely different, and one such difference is given by how they store our memories.

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Medical wearables, kitchen appliances and fitness equipment and other connected devices are regularly connecting to corporate networks, prompting technology leaders to warn that significant action should be taken to protect them from being used to hack into businesses.

That’s according to a new survey on practices for securing IoT (the Internet of Things) commissioned by Palo Alto Networks, the global cybersecurity leader. It polled 1,350 IT business decision makers in 14 countries in Asia including India, Europe, the Middle East and North America.

Overwhelmingly, respondents report a rise in the number of IoT devices connecting to their networks over the last year. Among the connected trash cans, light bulbs and hand sanitizers, one red flag emerged: More than half of those who polled said they either need to make a lot of improvements to the way they approach IoT security (43 percent), or that a complete overhaul is needed (36 percent).

In India, businesses surveyed have complete confidence (92%) that they have visibility of all the IoT devices connecting to their organisation’s network. However, two in five (40%) of the largest businesses surveyed (3,000 employees plus) reported that they have not segmented IoT devices onto separate networks — a fundamental practice for building safe smart networks. It is even more worrisome that only 27 percent reported following best practices of using micro-segmentation to contain IoT devices to their own tightly controlled security zones.

“Adoption of digital technologies is being seen on an unprecedented scale and so is the spike in security concerns. We need to bear in mind that cybercriminals are getting smarter, thanks to technological advancements and innovations. They are constantly exploring new avenues of cyberattacks – including through IoT devices – and therefore, more caution needs to be exercised by the organisations as they take a technological leap,” said Anil Bhasin, regional vice president, India & SAARC, Palo Alto Networks. He further added, “As we plan on a wider implementation of the Internet of Things (IoT), there has to be a solid strategy in place to overcome the security challenges that come along.”

“Traditional networks are ill-equipped to handle the surge in adoption of IoT devices,” said Tanner Johnson, senior cybersecurity analyst at Omdia. “Device behavior baselines need to be established to allow for new recommended policies to help stop malicious activity. For instance, it would raise a flag if a connected thermostat started transmitting gigabytes of data to an unfamiliar site.”

Palo Alto Networks released the survey as part of its ongoing effort to shed light on security threats posed by the surge in deployment of devices connected to the internet. Business Insider Intelligence forecasts there will be more than 41 billion IoT devices by 2027, up from 8 billion last year.

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