Understanding the Role of Cybersecurity in Ensuring Our Interconnected World Will Be Safer and More Resilient for Everyone

Last Updated on 4 years ago by Imarticus Learning

In this digital era, we all are interconnected with several digital channels and systems. Cybersecurity is not only the responsibility of corporations and governments anymore. The frequency of cyberattacks is increasing rapidly and we all are at risk. We all have sensitive information stored on online channels that need to be protected at any cost. From digital transactions to sensitive personal information, everything needs to be protected. Businesses and customers should know about cybersecurity basics for making the digital world a safer place. Read on to understand the role of cybersecurity in making the digital world safer and more resilient. 

Take responsibility for your data

Do not depend blindly on a website’s privacy policies before entering sensitive information like credit card details, account name, etc. As a customer, you need to verify the privacy policy of the company before using its website or business application. If a data breach occurs in a company’s network, the valuable information of customers will leak. Eventually, you will be the one paying the price after a cyberattack. If customers become aware, they can refrain from sharing information on unreliable channels. Every one of us has to take responsibility for protecting our valuable information from getting into the wrong hands. Together, we can fight the hackers and scammers to make this world a safer place.

Cybersecurity basics to know in 2021

In 2021, you should be aware of the basic cybersecurity measures that can be taken to protect online data. Some of the cybersecurity basics in 2021 that should be known by all are listed below:

  • Use strong passphrases for securing your digital accounts across channels. Use a passphrase that consists of at least 14 characters. Use a combination of letters, digits, and special characters (if permissible) to form a strong passphrase that cannot be guessed. Make sure you remember your passphrases and do not store them digitally at one location.
  • Besides using two-factor authentication, also use multi-factor authentication for securing your data. You can use a biometric lock to make sure no one gains access to your personal information.
  • Scammers conduct phishing attacks to persuade users into sharing personal information. Avoid clicking on links in messages, emails, and social media posts that seem suspicious. If it doesn’t seem right, don’t click on it and let it go.
  • To be free from malware or ransomware, make sure your internet-connected devices are updated. Install antivirus/firewalls applications on your smartphones and PCs before using them.
  • Back your important information to a safe place for greater resilience. You can quickly recover from data loss if you have adequate backup.

Career opportunities in the cybersecurity sector

Business organisations are more aware of cybersecurity threats than ever in 2021. They recruit certified cyber security professionals for protecting the company and customer data. Since the number of cyberattacks is rising, the demand for cybersecurity experts is also rising. At present, business organisations need cybersecurity experts that can use new-age technologies to provide automated solutions. You can also go for a cyber security professional course to give your career a kickstart.

Imarticus Learning is a reliable EdTech platform that provides the best cyber security courses online India. With cybersecurity courses of Imarticus, you can learn industry practices and the evolution of cybersecurity techniques. The cybersecurity industry offers several job roles, and the chances of upscaling are high.

Conclusion

The cybersecurity courses offered by Imarticus will also kickstart your career. You will receive excellent placement mentorship from Imarticus. Beginners can learn the basics of cybersecurity with online courses of Imarticus Learning. You can get an industry-recognised certificate after completing an online course from Imarticus. Start your cybersecurity online course right away!  

Why KPMG’S Financial Analyst Prodegree is the Top Financial Analyst Course?

Last Updated on 3 years ago by Imarticus Learning

So here is the deal. You are in college or university, and you want to become a financial analyst? That’s great! Financial analysts work in all industries, including banking, real estate, insurance, retail, and more. The best way to get your foot in the door for this career is through an entry-level position as a junior or senior financial analyst.

If you’re already in another field and want a career change, a financial analyst is a great place to begin your new career!

KPMG ProDegree financial analyst course

The KPMG ProDegree financial analyst course is an intense program covering all modules of economic analysis, financial modeling, management accounting, and management presentation skills needed to succeed in the industry. It is a fully online course that students can do at their own pace anytime, anywhere.

This program is for working professionals with strategic finance and analytical abilities to equip them for the next step in their careers. It offers a senior finance professional the ability to combine corporate strategy with finance, take a long-term view of strategy utilizing analytics, and analyze potential future outcomes for optimum decision making. It provides a solid foundation for all new-age financial technology.

Benefits of KPMG ProDegree financial analyst course:

  1. This highly interactive online program is designed to prepare you for your first role as an analyst and take you step-by-step through the skills and knowledge required to excel in a career as a financial analyst.
  2. The comprehensive curriculum includes an overview of Financial Analysis, Key Financial Ratios, Financial Modeling and KPI’s, Financial Reporting & Analysis.
  3. Students will work with a web-based program that provides all the foundational knowledge required as a financial analyst.
  4. This program is used by many of the world’s leading companies to train their employees, so it guarantees you’ll have access to top-quality resources.
  5. This program will teach students how to use Excel, PowerPoint, and Word to create financial models, spreadsheets, presentations, and memos tested for accuracy.
  6. Students will learn with a comprehensive curriculum covering calculations using ratios, operational efficiencies of firms, valuation methodologies for equity & debt securities, fund management, etc., by experienced professionals.
  7. Students will have access to a network of people with similar interests and responsibilities, data-driven learning content through the online program, knowledge checks, and assessments to make sure you understand the key concepts – all designed for their success!

Enroll in a KMPG Financial analyst course with Imarticus Learning today!

If students aim to become financial analysts, here’s their golden opportunity. Imarticus Learning is training professionals from all industries and backgrounds to take up this profession easily through our advanced financial modeling course.

We understand the importance of learning from experts in various industries for years and putting that into practice by having our faculty members have years of experience in the corporate world.

Some course USP:

With rampant use of artificial intelligence and machine learning, how are financial institutions dealiing with problems related to data bias and transparency?

Last Updated on 3 years ago by Imarticus Learning

The public and private sectors are increasingly turning to machine learning (ML) algorithms and artificial intelligence (AI) systems to automate every decision-making process, and financial institutions are no exception.

In addition to widespread use in the capital markets, artificial intelligence and machine learning are used in financial services to make insurance decisions, monitor user behavior, recruitments, fraud detection, credit referencing, and underwriting loans.

However, while AI and ML have brought innumerable benefits to financial institutions, they also have their share of woes in the form of data biases and transparency issues. The question is, how are financial institutions dealing with these problems?

Bias and Transparency in the AI Context

AI systems are powered by algorithms that “train” by reviewing massive datasets to ultimately identify patterns and make decisions based on the observations. Hence, these systems are no better than the fed data, resulting in unconscious data biases.

On the contrary, transparency in the context of AI refers to the ability to explain AI-based decisions. Given the increasingly complex findings and algorithms, ensuring transparency to different stakeholders is vital in the financial sector, both from compliance and business value perspectives.

Biases can occur in many ways. For example, bias due to incomplete data occurs when the AI system has been trained on data that is not representative of the population.

Likewise, the dataset could be biased towards previous decision-making processes, the programmer may introduce their own bias into codes, or business policies pertaining to AI decisions could be biased themselves. The bias of any form eventually leads to unfairness and inequities in financial services.

Dealing With AI Bias and Transparency

Although the use of AI and ML give rise to data bias and transparency issues, they have become indispensable for the functioning of financial services. So, the only course of action left to financial institutions is to adopt ways to get around the problems. Some of them are listed below:

  • Financial institutions and firms can have appropriate controls and monitoring tools to ensure that new data entering the pool is reliable and of high quality. 
  • In addition, some organizations have developed tools to determine if a potential AI solution is biased. 
  • When building AI systems, it is wise to gather a team with domain expertise, model development skills, data engineering capabilities, and commercial expertise. 
  • Organizations can undertake impact assessments of the AI solutions to ensure they are transparent and explainable, as well as determine how the AI-based decision-making process will impact customers. 
  • When engaging with AI technologies, financial services can apply safeguards to ensure that business outcomes are achieved, and customers’ interests are protected. 
  • Another way to minimize data biases is to be open on the user data, match and align data with the target segment, and set up review cycles with legal and statistical experts. 
  • Tracking mechanisms that allow one to track the decision-making mechanism of algorithms can be put in place to eliminate bias and ensure transparency as much as possible. 
  • Lastly, it is pertinent for institutions to document their approach to handling bias and review it after every stage of development and use of the algorithm.

What to Look for in an Artificial Intelligence Course?

If you want to learn AI and ML, there are several online courses you can choose from. An AI and ML certification course that makes you future-ready will have a robust curriculum covering critical concepts related to data science, machine learning, NLP, deep learning, and computer vision.

In addition, the program should offer in-depth experiential learning through hands-on involvement with real-world projects.

Enhance your Resume with These Online Certificate Courses for MBA Students

Last Updated on 4 years ago by Imarticus Learning

Colleges are starting, and you’re thinking about applying for jobs. One of the first things employers will ask for is a resume, which can be intimidating if you don’t have any work experience to list. But what if I told you that it’s possible to build your resume with online certificate courses?

In this blog post, we’ll discuss how taking just a few courses from top universities worldwide can provide an excellent foundation to show future employers that you are serious about advancing in your current position! This blog post will outline the best online MBA courses.

MBA IN FINTECH PROGRAM:

  • The interactive FinTech learning experience allows students to apply what they have learned to real-world business challenges and circumstances.
  • This rigorous JAIN(Deemed-to-be-University) online MBA program comprehensively examines the paradigms of New Age FinTech, providing the student with a high-quality learning experience.
  • Hands-on training from industry experts, real-business case studies, tech-enabled projects based on Blockchain, Cloud Computing, and other prominent New Age tech tools, as well as valuable interactions with FinTech industry leaders and entrepreneurs, will empower their professional FinTech knowledge like never before.

MBA IN INVESTMENT BANKING & EQUITY RESEARCH:

  • Banking and finance are varying at a breakneck pace, primarily fueled by cutting-edge transformational technologies.
  • As a result, New Age Investment Banking’s complexity has evolved to mirror these shifts.
  • The widespread use of financial technology has dramatically transformed the global economy’s dynamics, leading to a surge in demand for tech-savvy New Age Investment Banking Professionals.
  • This comprehensive Online MBA program delves deeply into the many paradigms of New Age Investment Banking, providing a student with a high-quality learning experience.

PROGRAM FOR DUAL BANKING AND FINANCE MANAGEMENT

  • This dual Banking and Finance Management program is excellent for individuals wanting to advance their BFSI professions thanks to its innovative curriculum and two parallel study pathways.
  • This unique approach to professional education redefines students’ industry knowledge and successfully enhances their vocational talents throughout their learning journey.
  • NMIMS Global Access MBA (Distance) in Banking and Finance Management is a comprehensive, 24-month unique combination of two industry-endorsed Finance and Banking courses specially designed to upgrade existing careers in the booming Banking and Finance industry.
  • Suppose students are searching for all of the advantages of a traditional Masters in Banking and Finance. In that case, Masters in Quantitative Finance, Masters in Banking and Financial Economics, or Masters in Financial Management, this globally renowned PGP in New Age Banking Program is the answer.

Explore JAIN MBA Program with Imarticus Learning:

This JAIN MBA includes hands-on instruction from industry professionals and covers every vital area of course. Students may apply what they learn in the immersive tech-enabled learning experience to real-world business settings and challenges.

Some course USP:

World-Class Academic Professors to learn from through live online sessions and discussions.

Tools Data Scientists Use to Make Precise Predictions

Last Updated on 3 years ago by Imarticus Learning

It is no secret that the accuracy of predictions in the business world can make or break a company. Data scientists create these accurate predictions to help businesses understand what will happen and prepare for it. It’s not easy, but data science has many tools that can make this process easier. In this blog post, we’ll explore some of those tools and how they work!

Tools data scientists use to make precise predictions:

Predictive analytics algorithms help data scientists predict future events and behaviors by using existing data. These tools build mathematical models that capture the connection between demographics, location, time of day, etc., and measurements such as the number of web visits or revenue.

One type of algorithm is a decision tree, a set of rules used to classify things. For example, if the weather is sunny and warm, there’s an 80 percent chance it will be hot outside. Still, if the weather is rainy or cool, there’s only a 30 percent chance it will be hot outside. A data scientist can use this information to determine an appropriate temperature for an office during a particular weather pattern.

Another type of algorithm is a random forest based on the same idea as decision trees but performs better in some cases. Random forests use when data scientists want to make accurate predictions with many different variables. The randomized process behind the tool helps ensure that each prediction is different from the last one.

Artificial neural networks (ANNs) are machine learning algorithms inspired by the neurons in our brains. They let computers complete tasks like recognizing images, handwriting recognition, and other forms of pattern recognition that machines can use to make predictions.

Support vector machines (SVMs) are another machine learning algorithm. These designs are for computer vision, which is the science of how computers can detect, receive, and process images. In a support vector machine model, there’s one variable being predicted from many different inputs. The goal of SVMs is to find a hyperplane that best separates the input data into two distinct sets.

Decision trees, random forests, ANNs, and SVMs are examples of algorithms that can make accurate predictions. These tools work well with large datasets; however, they require careful preparation and data feeding (known as “feature engineering”).

Explore and learn Data Science with Imarticus Learning

Learn the fundamentals of data analytics and machine learning and the most in-demand data science tools and methods to become job-ready. Learn Python, SQL, Data Analytics, Machine Learning, and Data Visualization using Tableau. This PG program is for industry professionals to help students master real-world Data Science applications from the ground up. Therefore construct strong models to provide meaningful business insights and forecasts.

Some course USP:

  • Data science courses in India aid the students in learning job-relevant skills that prepare them for an exciting data scientist career.
  • Impress employers & showcase skills with a certification endorsed by India’s most prestigious academic collaborations.
  • World-Class Academic Professors to learn from through live online sessions and discussions. It will help students understand the 360-degree practical learning implementation with assignments.

Contact us through the live chat support system or schedule a visit to Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon training centers.