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Day: August 23, 2021

Choosing between SAS, R, and Python for Big Data Solution

Posted on by Imarticus Learning

SAS, R or Python, from where do would it be advisable to begin? This is the most widely recognised inquiry that each competitor confronts while entering the universe of Data Analytics. As the examination field keeps on developing, new devices and advancements have begun rising in the market, making the business experts ace them for better profession alternatives.

Today, extraordinary systematic devices are accessible in the market, yet the significant rivalry is seen between R, Python, and SAS. As in all situations where there are decisions and competition, a near noteworthy investigation is made between these three stages to locate the best fit.

Let us initially comprehend what R, Python, and SAS are?
R – It is the most widely used language of statistics. It is a language that depends on a progression of following subroutines. Due to its cost-effective approach, R is the profoundly favoured programming language among numerous information researchers. R is the best alternative accessible for information and plot visualisation that are important with regards to data analysis. It gains by its open source nature by making available the most recent methods quick.

Python – It is a multi-purpose programming language. It has increased monstrous prominence as a result of its information mining libraries and capacities that can be generally used to play out any statistical operations. Python is another open source scripting language that has developed to envelop.

SAS – Statistical Analysis System (SAS) is a superior programming suite introduced to investigate substantial datasets in a well-organised format that looks good. Today, numerous worldwide organisations and million dollar organisations generally incline toward this product. It offers the clients a decent GUI, a variety of measurable capacities, alongside an undeniable specialised help. Nonetheless, it is a much costly alternative accessible in the market when compared with R and Python. Also, it is not an open source.

To know which tool suits best according to your necessities, let us examine a portion of the critical traits for the devices.

  1. While discussing the cost of utilisation, SAS is a costly business programming accessible in the market. While R and Python are the open source devices that can be accessed for no cost. This is the thing that makes R and Python broadly mainstream among numerous new companies and settled organisations working in the field of data analysis.
  2. As the Internet use has developed twofold with time, more information is produced each day making it hard to store and manage it adequately. However, SAS accompanies a decent easy to understand GUI; it misses the mark regarding the capacities required for taking care of and dealing with the data. The bundles like Plyr, DPlyr, and so on and expansions like NumPy, Panda, and so forth. It gives Python a smoother approach for information stockpiling and control. While, R works just on RAM, which makes it hard to run even a little undertaking.
  3. SAS is a costly programming, for the most part, utilised crosswise over enormous MNCs which constrains the career opportunities to a particular level. While R and Python are profoundly favourite crosswise over new businesses, entrenched organisations, and MNCs, which exhibits an incredible breadth of better career openings at overall industry levels. In this manner, conveying R and Python confirmation qualifications on your resume will unquestionably copy the likelihood of getting procured.

Conclusion

  • In case you are a fresher and great at science and mathematics, at that point R is the best alternative, to begin with. Be that as it may, on the off chance that you are great at programming and coding, at that point Python is the best choice to begin.
  • In case you are an expert with a few years industry encounter, at that point upgradation is connected on either R Python coordination or SAS Python coordination.

What is Equity in Investment Banking?

Posted on by Imarticus Learning

A career in finance may take many paths, including investment banking and equity research. But, you need to choose the best banking courses after graduation that can prepare you for various branches of business and finance. If you want to know about equity in investment banking, then you must first understand how investment banking works and why equity is important. So, let us begin by learning what is investment banking in simple terms.

What is Investment Banking?

Investment banking is a division of any bank or financial institution that serves any organization, corporation, or even the government. Investment banking provides these institutions or corporations with underwriting for raising capital or mergers and acquisitions, as well as other advisory services. The job of investment banks is to act as an intermediary between the investors and the corporations that are in need of capital to grow their business.

Investment Banking course with placement in IndiaTo understand investment banking better, you can choose any of the multiple investment banking courses in India available online. These investment banking courses will help you understand the technicalities of investment banking better.

You can check out the certificate in Investment banking course details to see if it is one of the best banking courses after graduation you can go for.

When paying the investment banking course fees, one should look for a program that gives an in-depth knowledge of the topic at hand so that the investment is not regretted later. Out of the many investment banking courses in India, only a few cover equity in investment banking. You can check out one such certificate in investment banking course details here.

What is Equity in Investment Banking?

In finance and banking, equity is more commonly referred to as the shareholders’ equity. For privately held companies, it may also be called owner’s equity. Equity is the value that is attributable to the owners of the business. It is the value or amount of money that the shareholders of the company would be returned in case the assets of the company are liquidated and all of the debt of the company is paid off in liquidation.

In the case of acquisition, equity is the total value of the company’s sales minus any of the liabilities which is not transferred during the sale. Shareholder equity represents the book value of the company. It is one of the most important pieces of data used by analysts to assess the financial health of the company.

There are two types of equity values:

Book value – It is calculated by taking out the difference between assets and liabilities on the balance sheet of the company.

 Market value – It is determined by the current share price or estimated value of shares calculated by professionals.

When choosing what course to do for investment banking, one should zero in on a program that also teaches about shareholders’ equity in investment banking. This will not only give you a deep understanding of how investment banking works but also how equity operates along with investment banking and the difference between the two.

You should choose the program of the many investment banking courses that prepares you for the journey ahead in this industry and makes your Investment Banking career trajectory go higher.

Related article:

How To Become Equity Research Analyst

What is Marketing Management?

Posted on by Imarticus Learning

Marketing Management is a crucial process in charge of an organization’s marketing strategies. This process is responsible for coming up with marketing plans and ensuring that it is executed as accurately as possible. Marketing Management takes a holistic approach towards marketing in order to send a company’s message across to the potential consumers.

Marketing Management is also responsible for analyzing the financial market, competition, competition’s marketing strategies, and utilizing this information effectively to assist marketing models. Individuals from this field are also tasked with understanding the market, surveying potential customers, and researching demand on behalf of the company in order to build the best marketing tactics for resonating with your target consumers.

Marketing Management course Fundamentally, the Marketing Management course can be easily defined as the framework looking over the conceptualizing, designing, and execution of marketing strategies alongside marketing activities.

What are marketing managers?

Marketing managers provide firms or companies with plans to market their product or service in the best way possible, within the given budget. They are also tasked with ensuring that all the marketing plans are enacted successfully and the marketing activities are completed as desired.

Marketing managers are professionals who have finished a Marketing-centric MBA, online MBA course, or online distance MBA. It is preferable that Marketing managers have experience in Financial Markets as well as the fundamental knowledge of Business Environment Management and Business Strategy Management so that they can understand the business, the customers, the economic condition of the area, and the market itself.

What is marketing management concerned with?

According to the father of modern marketing, Philip Kotler, “Marketing Management is the art and science of choosing target markets and building a profitable relationship with them.” and it is exactly so. Marketing Management is concerned with choosing the right markets and target audiences as well as acquiring potential customers even before the product or service has been launched.

This is done by building a relationship with the customers and creating superior value, thus increasing the goodwill for the company or brand as well. The job or marketing interaction with customers is never truly over as Marketing Management must also ensure the customers keep growing and promotions or advertisements are altered in accordance with the market, trend, and economy. Marketing Management exists to promote business development, communication and sales.

Marketing Management considers many crucial factors obtained from Operation Management, Business Environment Management, Business Strategy Management, and implements strategies accordingly to suit the businesses.

This is why it is advised that those who are inspired to join this field should only choose the best online MBA courses or reputed online distance MBA courses.

Marketing Management courseThe best online MBA courses teach all required skills to provide superior marketing strategies and execute them for companies. Let us look at the different aspects that Marketing Management is concerned with other than creating superior marketing strategies.

  • Packaging, the actualization of ideas in accordance with trends, and sometimes even playing a role in the design of the product.
  • Promotion, advertising campaigns, marketing activities, sponsorships, and building affiliations.
  • Contributes with business strategies as well such as pricing the product, distribution, geographical targeting, etc.
  • Operation Management of marketing operations and massive processes (through call centers or internal marketing teams).
  • Realizing business goals by relying on the power of superior marketing.
  • Continuous and fluid conduction of marketing research, studying the competition and gathering customer responses.
  • Understanding the resources and budget, and accordingly planning the marketing model.

Conclusion

Marketing Management is a valuable requirement of any organization which is non-local in nature and wishes to expand. Marketing allows businesses to grow radically and it is the job of marketing managers to ensure that they do.

This is a desirable field with great benefits, however, companies always prefer individuals who have finished a PG program, such as the one from Imarticus Learning, an MBA, or an online MBA course. This is why it is recommended that individuals who wish to pursue this sector can join one of the best online MBA courses out there, and become adept at helping companies reach their goals.

How Is Ethical AI Different From Fair AI?

Posted on by Imarticus Learning

Artificial Intelligence is turning out to be an integral part of every part of businesses and human lives at a surprisingly faster pace. As much as it is transforming lives and processing easier, it comes with its share of drawbacks.

The topic here is the ethical and fair side of AI that has already proven to be a problem even for the big giants like Amazon and Apple. So the question here is how to rectify the problem without compromising the usefulness of AI.

In order to solve the issue, it is important to understand the difference between ethical AI and fair AI. Although they are not much different from each other, knowing the thin thread that separates them is crucial.

The dilemma of ethical AI

While AI  algorithms help replace several tasks which usually the human mind accomplishes, there are several pressing issues regarding the ethical outcomes it causes. Both  AI and Machine learning requires data that is fed manually, there is still no definite criteria on what qualifies as non-biased that leads to an ethical result.

If the algorithm leads to an unwanted advantage for anyone while someone else ends up on the receiving end it is considered unethical. The problem is defining what are ethical terms and what constitutes unethical. To solve this issue, leading brands have slowed down their progress with regard to the AI development in their business end.

An ethical AI will be the one that can accomplish ethical prediction and quality outcomes without impacting humans in one way or the other.

When is it a fair AI?

When it comes to fairness in AI predictions and outcomes, it is all about perceptions. A fair decision to one might appear unfair to another. So it is not easy to judge the AI program as unfair or fair.

While there are several issues with the unfair outcome of AI programs, what it really needs is a smarter and sensible approach.

  • It needs cooperation between humans and the AI system to evaluate and judge fairness. The employees need to be more intuitive and apply more common sense to do the job well.
  • As humane as AI seems to be it needs a bit more humanity than already has. Here, it is the company’s choices and values that can be used to determine the fairness in the AI system under development or use.
  • While creating the algorithms even the smallest factor and the most unimportant aspect should also be considered to create a more effective filter. This approach prevents a wider range of unethical and unfair decisions by the AI system.

The future of ethical AI

Owing to the past mistakes in the field of AI, many of the Artificial Intelligence training courses are trying to include a moral side in their curriculum. Since most of the unfair decisions by the machine is due to the social and economical perception by the humans, it needs correction right from the root level.

difference between ethical AI and fair AIIn order to pursue an Artificial Intelligence career, one must start thinking ethically and be able to decide between what is fair and unfair for the right matters. This is where critical thinking comes in handy.

Though it is difficult to create a Fair AI, it is easier with Ethical AI as long as it does not cause a clear bias with many factors in consideration.

Conclusion

What it shows is that machines can only impersonate humans and they are yet to reach that feat emotionally and for logical thinking capability. For them to reach that point, humans must change their views, perceptions, and work ethics.

What is Big Data Analytics?

Posted on by Imarticus Learning

Big data can always be related to massive volumes of data generated directly by the company or acquired from various sources. However, in order to truly utilize the data to its full potential, companies are always in dire need of skilled data analysts or business analysts. Big Data Analytics allows companies to use this data to their advantage by gaining valuable insights from this data, thus making more effective data-backed decisions.

Data Analytics Certification Courses with placement in IndiaThe Big Data Analytics course positively affects sales, decreases risks, optimizes production, helps understand customer behavior, and even allows companies to come up with more efficient marketing strategies.

This is all possible due to Big Data, Data Science, and analytics. Budding analysts are always advised to join well-orchestrated Data Science courses in order to acquire the skills required to effectively analyze the data.

The true intention of Big Data Analytics is always to promote more efficient use of resources and getting better results through data-centric suggestions from business analysts. It is highly recommended to opt for reputed business analytics courses in order to productively contribute to this field. Constructing data-based predictions is the key to making businesses run adequately.

Why is Big Data Analytics Important?

Fundamentally, Big Data Analytics allows companies to discover patterns, trends, and correlations from massive amounts of data. This allows companies to use the newly acquired information to their benefit, thus making more effective business decisions, increasing profits, and satisfying customers better.

From helping in marketing campaigns to improving production capabilities, Big Data Analytics can help with any sector that generates data. Analytics help companies make customers happier through understanding customer behavior and trends better.

Fintech courseData scientists and analysts help companies massively cut down operational costs by resources much more effectively. Decades back, even though “Big Data” did not exist, business analytics did. However, it was not a cost-effective process and demanded a lot of time.

Big Data Analytics online training allows data scientists and analysts to make this process much faster. With the advent of AI in analytics, Big Data Analytics can almost provide real-time insights from incoming data.

What is Data Science?

The value Data Science brings to business analytics is immense. It is responsible for everything in the process. Starting from sourcing the data and modeling it to the time that the required insights are acquired, Data Science powers it all. Data Science allows companies to effectively source transactional or raw data from various sources and then process it. This is where analysts come into play, they analyze this data and then help companies visualize the data.

What are the requirements to become a Data analyst?

How to become a data analyst? It might sound complex but it is truly not that hard. There are many good Data Science courses or business analytics courses available online and offline that one can choose from. However, care must be taken when choosing a Data Science course in India or outside, ensuring that you get the best out of your time and energy. Any good Data Science course in India will cover the fundamental skills required to become a data analyst and prepare students to effectively use analytics tools when working with Big Data or data in general.

 

Conclusion

Big Data makes it possible for organizations to store and harness the capabilities of massive amounts of both structured and unstructured data. Even though what Data scientists do is similar, Big Data Analytics requires exceptional skills when working with large volumes of data. A good Data Science course in India is highly recommended such as this PG program in order to gather the required skills to work with Big Data and Analytics.

Related Article:

What is the difference between data science and data analytics?

How Artificial Intelligence Training Helps to Boost The Fashion and Advertising Agencies?

Posted on by Imarticus Learning

In a fast progressing world such as ours, the need for an efficient tool to speed up the process of our work has increased. With that demand came the answer to all our problems, Artificial intelligence (also known as AI).

At this moment in time AI is being used across almost all major industries. A large number of establishments not using AI face being left behind in our extremely competitive economic race.

In this article, we will be shedding light on its advantages in the fashion and advertising industries.

AI and the fashion industry:

AI has established its role in the fashion industry quite firmly. Fashion retailers are going bankrupt due to the lack of importance given to AI. Due to this high demand, each year, the total expenditure on AI in the fashion industry is estimated to reach a whopping $7.3 billion by the end of 2020.

In the fashion industry, where only the top 20% of global brands are considered to be profitable, the need for a tool to maintain their relevancy is immense. It allows easy access to large chunks of data, customer personalization, and various other services which the fashion companies will not be feasible to run without.

AI is used mainly in three areas:

  1. Apparel design: Due to its ability to collect intricately detailed data sets, fashion companies are using this technology to better satisfy and understand customer needs and also be able to design better clothing from feedback. Zalando which is a German-based fashion platform has been designing its clothes using AI which picks up information depending on a wide set of customer choices which range from the material of clothing to clothing style and color.
  2. Making manufacturing easy: Fashion trends are fast-changing and there is a need for the pattern of change to be identified. AI is able to do this with ease while also being able to supply the apparel to shelves much faster than a normal retailer. Taking advantage of this, companies can confidently provide immediate service thus gratifying their customers based on their demands and needs. Examples of companies using this are brands such as Zara, TopShop, and H&M.
  3. Selling merchandise virtually: AI has the ability to break down the walls between the online and in-store shopping experience. This is being done through augmented and virtual reality technology, allowing customers to access apparel online using AR. Certain brands like Tommy Hilfiger are using virtual reality to create virtual pop-up retail stores.

Now you may ask how this works. AI is largely used in the fashion industry in the form of chatbots using which the fashion brand gathers information about the customer’s needs and desires. It has become an indispensable tool and is able to identify the customers fast changing desires.

AI and the Advertising industry:

AI plays a very important role in the advertising industry as well. It is able to identify elements that will resonate with the viewers, creating ads without any human involvement. It is also able to perform audience targeting and ad buying. Major platforms are using AI, taking advantage of its ability to determine if viewers would click on the ad they are being presented with.

It is able to intelligently identify and segment audiences, build ad creative, test variations, improve performance and also optimize spend. It has proven to be advantageous to digital advertising and the careers of marketing experts who plan and run ad companies.

Advertising at scale is something that is tricky and impossible for humans to perform and AI comes in quite handy here. The technology has the unique ability to detect patterns and predict what changes need to be made to a campaign to improve it against its specific KPI. This does not take days, hours, or even minutes but can be done in a span of just a few seconds.

The advantages of AI in advertising are hence as follows:

  1.  Increasing revenue through analyzing data at scale
  2. Reducing costs by acting on data faster and automatically
  3. Creating a massive competitive advantage

It plays a key role in real-time advertising, buying, and selling. This is most popularly done with the help of third-party apps like Facebook, Instagram, and Snapchat. These ads are suggested through AI looking at the links that are promoted by the user.

Taking all these facts into consideration it is pretty clear that a career in AI, especially in our day and age has huge scope and its benefits are undeniable! AI is transforming the fashion and the advertising industry as well as many other industries and thus considering artificial intelligence training at this point is a very smart thing to do!

How Analytics Is Being Used In Data Journalism?

Posted on by Imarticus Learning

Growing technology leaves an impact on every industry. As people want to upgrade, they allow the integration of computation in their fields. The current trends in journalism are no different from any other. There is an intersection between computation and journalism, which we will widely discuss here.

AI is expediting the process of analyzing data and synthesizing them into stories. For example, automatic story writing involves Natural Language Understanding and Processing for synthesizing reports. AI also helps generate images and videos for data journalism.

Why do journalists need to learn data analytics?

There is a shift in the digitalization of media publications, and companies who couldn’t bring the change collapsed. Simultaneously, the ones that could are now exploring data and computation tools to make journalism more economical.

The process of computational journalism is using analytical tools for reporting. Data journalism is much different from traditional journalism, and journalists need to keep up with the trends. If you plan to work in media, you will also need to gather knowledge from a data analytics course to work more efficiently.

The job of a journalist is to take unstructured data and creating a structure. They have to be convincing enough to catch people’s attention. Structured data is not always informed about different people or events. It can also include factual numbers like tracking money, the effects of an election, and so on.

One of the most prominent examples of how data journalism worked is the exposition of the Panama Papers. Global journalists came together and exposed famous names, which led to resignations and legal trials.

Among all media companies reporting, a German newspaper, Süddeutsche Zeitung, revealed the most extensive dataset. The company had an anonymous source report of 11 million documents to them. The company then teamed up with 370 journalists across 76 countries and carried out a year-long investigation to expose influential people.

Without the help of analytics, it is impossible to have evidence regarding such matters of corruption.

Data journalism makes way for democratic storytelling

People who join the data analytics career work with the science of analyzing raw data for drawing conclusions. When you add this to journalism, it creates a more straightforward approach for the media as well.

Nowadays, computer-assisted reporting is standard, and technology helps us gather information, analyze, and create stories. Thus, open data is democratic, factual, and engaging.

Every industry is taking efforts to make data more available to people. For example, data regarding the government, census, demography are all on the internet. Thus, it helps journalists who like to dig deeper into their research and come up with fact-based reports.

One such example will be the Stanford Open Policing Project. The university’s journalism department allowed its students to register freedom of information act requests. All the states were asked to report the electronic version of the stop data of State Police. In two years, they garnered records from 31 states with 130 million records.

The data helped students understand what makes a policeman pull over someone.

The university opened the data for any media house or local reporter to download this information. The revelation helped people understand the state police better. It also highlighted how the police take actions across racial demographics and a pattern to understand how they work.

Visualization is vital for journalism

Data visualization is an essential part of journalism as it engages people. Journalists take complex data and convert them into exciting visuals. People don’t have much time to read lengthy content nowadays. Attractive visuals with short content are more engaging.

Visualization is another aspect of why journalists need to know how to use tools to create them. There are many such tools available to create compelling visuals with complex datasets. It goes onto show the varied skillset a journalist needs to have for surviving in this field.

Investing in an MBA| Employment Outcomes

Posted on by Imarticus Learning

A person’s investment in an MBA is a huge decision; however, the benefits can be worth it. According to Business Insider, those with MBA degrees have higher wages than people without them and are more likely to get hired for top managerial positions or high-paying professions like FinTech.

In addition, business schools also offer alumni networking opportunities that could help graduates find new job openings outside of their company and mentorships where they might learn how best to use their skillsets on future projects, which increases employment options even further.

In this article, we will cover how to get an MBA online, the top accredited online MBA programs, and why you would want to pursue distance learning.

How to do MBA Online?

The first step towards your MBA is to decide what kind of degree you are looking for. A few options are available depending on the career path that interests you, such as an Executive MBA (EMBA) or international program. These programs require some work outside of class time and may have different costs associated with them, but they can be worth it to get ahead early on in your career!

Best Online MBA Courses

So, you want to get a good MBA but are too lazy or busy with work and family. One solution is the best online MBA courses out there! With these programs, students can earn their degree from home without ever setting foot on campus (or even leave your bedroom)! These programs also offer opportunities that traditional schools do not such as flexible course schedules. Those who have children can attend classes during school hours while others may take night classes, which enable them to achieve graduation in less time than four years. Sounds like an idea worth exploring?

Imarticus Learning, an internationally recognized online institute for MBA in FinTech, is the best place to study this popular field. Imarticus learning offers flexible programs and courses that are designed especially with young professionals like you in mind.

Many people don’t know what a “FinTech” degree even means; Imarticus Learning takes it upon themselves to provide students who want hands-on experience with various industries of business management skills while earning their graduate degrees–a one-stop shop. As part of our program, we’re also giving you access to top industry leaders such as IBM or Chase bank executives and professors from Oxford University right at your fingertips!

Why should one opt for Distance MBA?

The reason to opt for Distance MBA is that it offers incredible flexibility. It’s an option if you have a job but are looking to expand your skillset or take on more responsibility in the workplace. If you’re already working full-time and don’t want anything else weighing down your schedule, this may be perfect for you!

Distance learning can bring tremendous benefits with minimal cost and time commitment so long as one knows what they need from their career future beforehand.

Conclusion:  If you’re looking to invest in an MBA, you must know what the future could look like for your career. You may be considering if now is the right time and wondering about how much of a return on investment (ROI) you can expect from your degree.

In this article, we’ve provided some insights into employment outcomes based on different academic programs below. This should help with understanding potential ROI figures when investing in an MBA or graduate education program. Enquire now to get more information on the best online MBA courses.

 

 

How can the Blockchain Secure IoT Networks? Applications of Blockchains in the IoT!

Posted on by Imarticus Learning

The blockchain and the IoT have immense potential, and professionals are already working to combine these technologies. This merger can enhance data security within IoT networks & support various IoT solutions.

Here’s how blockchain features can be used to enhance IoT networks:

Why do IoT networks need blockchains?

The concept of an IoT network is that smart devices gather data about the environment, wirelessly connect to the internet and other devices via gateways & routers, & share the data collected within a network.

In addition, remote devices with user interfaces control IoT devices while transmitting data to users. In this IoT network, the data flows between IoT devices & can be stored on the cloud, local database, remote device, or IoT devices.

Applications of IoT:

IoT is used in workplaces, public spaces, streets, or at home, facilitating smart home systems, security systems, smart city infrastructure, etc. IoT devices are widely used in healthcare, manufacturing, construction, agriculture, & other industries. Wireless connections make IoT technology easy to implement for home & business usage.

Benefits of integrating a blockchain into an IoT network:

Data decentralization

The distributed architecture of blockchain means there’s no central point of control. This eliminates single points of attack or failure, reducing infrastructure, reconciliation, & management while improving fault tolerance. The nodes in a blockchain network manage the distributed digital ledger and confirm new blocks.

Improved system scalability

While reducing IoT silos, blockchain IoT integration contributes to improved scalability. Decentralized networks distribute workloads over devices and provide more computing power than centralized networks.

Guaranteed data stability

The data stability in a blockchain is ensured with cryptography that makes the distributed ledger permanent and unalterable. Added cryptography to smart devices provides secure data transfer & storage. A blockchain can keep a stable history of device communications within a specific IoT network.

Stronger authentication

With a blockchain, every IoT device can be identified. A blockchain can ensure trusted authentication & authorization for smart devices, which means all data within the IoT network will be secured. The private key remains with the user and is used to prove their identity, while the public key is distributed to the network provider.

Enhanced privacy & security

Blockchain secures communication between IoT devices by storing data in transactions & validates those transactions with nodes. This ensures traceability & accountability of sensor data. By using cryptography for communications, blockchain eliminates the risks of data breaches.

Improved data management

A blockchain facilitates IoT devices to communicate without involving a server, cloud storage, or other local databases. IoT developers can use blockchains to provide device-agnostic & decoupled applications.

Grow and learn with Imarticus Learning:

Both blockchain and IoT technologies are constantly developing to solve existing problems & meeting new ones. A Blockchain course is all you need to consider for those looking for career opportunities in the tech industry.

best Fintech courses in IndiaIf you wonder how I become a Blockchain software engineer, Imarticus Learning caters to your doubts and offers Blockchain courses that get you into detail.

The 9-month extensive program will help you prepare for the new-age Software Engineer role specializing in Cloud, Blockchain, and IoT.

The course allows students to build a strong foundation of Software Engineering concepts, with industry experts helping to learn the practical implementation of Cloud, Blockchain, and IoT through real-world projects from diverse industries. This course goes a long way towards helping you unlock lucrative career opportunities in the ever-growing field of Software Engineering.

For further details, reach out through the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.