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Business Analytics: A Demanding Tech Field For Modern Aspirants

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Business Analytics: A Demanding Tech Field For Modern Aspirants

Business analytics has emerged as one of the most demanding tech careers among modern aspirants

Every business today produces a considerable amount of data in a specific way. Business analytics now aims to leverage the benefits of statistical methods and technologies to analyze past data. It is used to uncover new insights to help them make strategic decisions for the future. The rising popularity of business analytics has triggered several educational institutes to offer business analytics courses. Here, we have enlisted some of the top business analytics courses, offered by the top universities in the world that offers training and knowledge to business analytics aspirants around the world.

 

BBA in Business Analytics by St Mary’s University

Students in the program will be well-equipped to apply quantitative models and derive business insights from data. Combining the Minor in Business Analytics with other fields such as finance and risk management, marketing, computer science, engineering, and political science will give our students an edge in the job market. They will become decision-makers with coding literacy, an analytic mindset, and experience with cutting-edge technologies such as Blockchain, FinTech, and Artificial Intelligence.

 

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BS in Business Analytics by Siena College

Our graduates with a degree in business analytics will fulfill a critical need for companies across all industries. Likely job roles filled by graduates include positions as data analysts, risk analysts, data scientists, management scientists, and management consultants, as well as roles associated with specific functional areas such as marketing analytics, healthcare analytics, supply-chain analytics, sports analytics, and others.

 

BBA in Business Analytics by Pace University

There is an exploding need for professionals in every field who can analyze and manage data to make effective business decisions. With technical skills that are in demand in every industry, a degree in business analytics from Pace can enable you to look forward to job growth, mobility, and ongoing paths for advancing your knowledge and career.

 

BS in Business Analytics by Miami Dade College

Graduates of the Data Analytics program will use machine learning, statistics, programming, and visualization tools to resolve complex business problems and make recommendations that effectively support tactical and strategic business objectives. The Bachelor of Science in Data Analytics meets the general bachelor’s degree requirements for acceptance into most master’s degree programs

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Bachelor in Business Analytics from Western Michigan University

Interested in turning measurements into insight? With an undergraduate business analytics major from Western Michigan University’s Haworth College of Business, you will play an important role as organizations collect and seriously examine data. To deliver exceptional business performance, it is crucial for successful businesses to actively analyze internal and external data to drive their decisions. Opportunities abound for tech-savvy business people who know how to deal intelligently with data.

The undergraduate business analytics major prepares students to succeed in a data-driven world, providing exposure to software platforms and techniques used to store, transform, manipulate, analyze and interpret small and large sets of data.

The post Business Analytics: A Demanding Tech Field for Modern Aspirants appeared first on Analytics Insight.

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Sketch Your Way Into Coding! Notate Will Sure It’s Accurate

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Sketch Your Way Into Coding! Notate Will Sure It’s Accurate

The pen-based interface, called Notate, lets users sketch in computational, digital notebooks

Cornell University researchers have created an interface that allows users to handwrite and sketch within computer code—a challenge to conventional coding, which typically relies on typing. The pen-based interface, called Notate, lets users of computational, digital notebooks open drawing canvases and handwrite diagrams within lines of traditional, digitized computer code.

Powered by a deep learning model, the interface bridges handwritten and textual programming contexts: notation in the handwritten diagram can reference textual code and vice versa. For instance, Notate recognizes handwritten programming symbols, like “n”, and then links them up to their typewritten equivalents.

“A system like this would be great for data science, specifically with sketching plots and charts that then inter-operate with textual code,” said Ian Arawjo, lead author of the paper and doctoral student in the field of information science. “Our work shows that the current infrastructure of programming is actually holding us back. People are ready for this type of feature, but developers of interfaces for typing code need to take note of this and support images and graphical interfaces inside code.”

Arawjo also said the work demonstrates a new path forward by introducing artificial intelligence-powered, pen-based coding at a time when drawing tablets are becoming more widely used. “Tools like Notate are important because they open us up to new ways to think about what programming is, and how different tools and representational practices can change that perspective,” said Tapan Parikh, associate professor of information science and paper co-author. Information on the tool was published in the proceedings of The 35th Annual ACM Symposium on User Interface Software and Technology.

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Educational Institutions: How To Ensure Data Security

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Educational Institutions: How To Ensure Data Security

Collecting sensitive data from thousands of students and employees, education is one of the sectors most vulnerable to data breaches. With limited cybersecurity budgets and know-how, schools are an easy target for cybercriminals and are especially prone to employee carelessness. However, increasingly strict regulations are making data protection mandatory in education as well, to protect students’ and employees’ personal information.

Human error is responsible for 26% of all data breaches in education. An email with personal student information accidentally sent to the wrong person or to all the individuals in an email thread already represents a  violation. Hackers can also easily gain access to school networks through university library computers and infect them using malware-riddled USBs.

To ensure data protection compliance and security, educational institutions need to ensure that basic cybersecurity measures such as antivirus solutions and firewalls are adopted. However, to prevent data leaks and address employee carelessness, educational institutions need to go one step further and look at Data Loss Prevention (DLP) solutions.

 

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Control and monitor sensitive data directly

DLP solutions have become a critical component of educational institutions’ data protection efforts. They allow educational institutions to monitor and control the sensitive data they collect through predefined policies for personal information.

Using contextual scanning and content inspection, DLP solutions can identify sensitive data in over a hundred file types, blocking its transfer through insecure channels such as popular messaging apps, file-sharing services, or personal emails. DLP tools can also prevent sensitive data from being copied and pasted or printed. Any attempts to violate DLP policies are logged and reported, helping educational institutions identify bad data protection practices or common unauthorized data exit channels.

 

Control removable devices

As previously mentioned, USBs can be used by cybercriminals as infection tools and as a way to bypass login screens and gain access to a computer. However, the infection can also happen unintentionally when a student connects a USB to a school computer, unaware their device has been infected. When sensitive data is copied onto a USB, it also becomes vulnerable to loss as USBs are notoriously easy to lose or forget.

DLP solutions come with device control policies that help educational institutions limit or block the use of portable devices. The use of USBs can thus be limited to trusted devices such as school-issued USBs, and any sensitive data transfers onto removable devices can be flagged, giving educational institutions a clear insight into who has attempted to transfer sensitive data, when, and with which device.

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Protect sensitive data on all operating systems

Students and employees often use their personal devices to connect to school networks. These devices run on diverse operating systems, not just on Windows, and often include macOS and several Linux distributions. To ensure continuous data protection, educational institutions need to consider cross-platform cybersecurity solutions that can be managed from a single interface.

Such centrally administered solutions offer two major advantages. They reduce costs as a single solution replaces several specialized tools for different operating systems. They also simplify data protection management when IT personnel is limited. Often one person is enough to manage them. However, educational institutions choosing to go the cross-platform route need to ensure that the solutions they choose offer feature parity for all operating systems and don’t have limited applicability to other operating systems apart from the primary one they were initially designed for.

 

Author:

Filip Cotfas, Channel Manager, CoSoSys 

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The post Educational Institutions: How to Ensure Data Security appeared first on Analytics Insight.

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Big Data

Land Your Dream Data Job! Choose GIM’s Big Data Analytics Programme Now

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Land Your Dream Data Job! Choose GIM’s Big Data Analytics Programme Now

Enrolling in GIM’s big data analytics programme would enable aspirants to meet changing data paradigms

The concept of big data is not new anymore. The integration of big data analytics in business operations is helping leaders gain productive insights into new questions and tasks that data owners did not even know were possible earlier. A lot of research dealing with big data is emerging now. Plenty of startups are offering to extract their values from data and provide valuable insights. However, the most important aspect of deploying big data analytics in a productive manner is to employ skilled and talented candidates who can ace the information yielded from these datasets and wield strategies that can help these leaders gain an edge in the market.

Candidates aspiring to become skilled data professionals have to master various domains that are involved in big data, like data analytics, business intelligence, and others. The demand for efficient big data professionals is rapidly growing in the tech market, hence, institutions all over the world are racing to create an ecosystem that enables organizations to conduct real-time, data-driven decision-making. Besides, big data careers offer lucrative financial compensation, which is one of the many reasons why more and more tech aspirants are joining the big data domain in the current scenario.

Well, in a nutshell, the job landscape in the tech ecosystem has changed abundantly. And one of the most trailblazing educational institutions that are tapping into the futuristic potential of the industry is the Goa Institute of Management. The institution is advancing the development of future-ready, data-fluent managers, who will be fully equipped to manage the evolving industrial paradigms and accelerate data-driven decision-making processes.

 

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A Roadmap to the Programme

The Goa Institute of Management is among the top premier business institutes in India that aims to offer students and faculty an ideal environment for gathering and imparting knowledge. The futuristic infrastructure and facilities provided by the institute ensure that the enrolling candidates stay ahead of the industry demands and that the faculty get all the resources available that will help them impart knowledge effectively.

GIM’s Big Data Analytics course has made a significant impact on the big data industry. The program is basically designed to impact the students with an adequate understanding of different areas of management with a focus on the application of big data analytics tools and techniques that can solve complex business problems. This big data analytics course is a combination of management and analytics subjects that ultimately manifests in students as modern skills that will give them a competitive edge by upskilling them through both data fluency and business sense. Besides these facilities, the program also provides a unique 5-month internship program that will aid students to gain practical work experience and deal with real-time data silos. Students learn in an environment that serves as an incubator for future managers under the guidance of knowledgeable teachers.

You can apply at https://forms.gim.ac.in/ to enroll in this programme.

 

Various Approaches to Inculcating Knowledge

The Goa Institute of Management integrates various approaches to impart knowledge in the best ways possible.

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  • A 40:60 blend of business experience and big data analytics-related experience make up the program’s architecture.
  • Students are assisted in acquiring the skills and internalizing the values that will enable them to function as effective leaders in distinct companies.
  • The curriculum also includes significant case-based learning, simulations, seminars, and practical hands-on training. There are also individual and group tasks, as well as thorough exposure to real-work business issues through on-site initiatives.
  • In order to make the program even more lucrative, the course is thoughtfully created using feedback from consultants, teachers, and a cross-section of top industries in the domain of analytics.

 

GIM Acquired 100% Placement for its PGDM- Big Data Analytics Batch of 2023

The 2023 PGDM- Big Data Analytics class at GIM has announced 100% placements, with the highest CTC at INR 40.2 lakhs per annum. Based on previous reports and as speculated by multiple tech analysts, the size of the big data market is predicted to increase dramatically, hence, the average pay for big data managers at GIM has increased by more than 30% from the previous one. Earlier, the average CTC was INR 17.2 lakhs per annum.

GIM’s primary goal is to help develop efficient professionals who are adept with data and are prepared to handle the evolving paradigms of data-driven decision-making.

The post Land Your Dream Data Job! Choose GIM’s Big Data Analytics Programme Now appeared first on Analytics Insight.

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