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Covid-19 Data Analysis Using Tableau

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Covid-19 Data Analysis Using Tableau

Tableau is a fast-growing data visualization and data intelligence software used worldwide to drive better data-driven decisions. Dynamic software manipulates updated data as and when it is introduced into Tableau. A simplistic description of Tableau is a pivot table on steroids. But Tableau is so much more than Excel and other software available in the market for analyzing data. 

Today Tableau is at the forefront of data analysis with millions of users globally. Apart from its advanced features, interactive dashboards have the facility to import data from different data systems like Python and R. 

To be up-to-date on data analysis, get a Tableau certification by doing a Tableau course or a data science course in India at Imarticus Learning.

The Covid-19 epidemic has devastated the whole world and resulted in many deaths. It transcended national borders and attacked citizens of all countries without discrimination. 

Many countries maintained a daily tracker of Covid-19 patient statistics to take appropriate action regarding lockdowns, curfew, treatment plans, ensuring availability of medical and health care facilities, availability of oxygen, vaccine production, emission, etc. Tableau software has been handy for all the data at a global level and facilitated decision-making by the governments of the respective countries.

Tableau helped government health organizations and companies in data analysis during the Covid-19 epidemic. Given below is the use of a Tableau to track the progress of the Covid-19 epidemic in the U.S.

Tableau workday data file was used.

The Tableau workday data file was used with Tableau Prep Builder and data from John Hopkins to represent a dynamic data representation. The above is a static view of the Tableau Dynamic Prep Builder. A survey of work from home employees, which was administered on the Salesforce platform, is represented below:

Filters were used to enable analysis by employee’s region, quota responsibility, and previous work experience from home.

Tableau launched the Datahub to make sense of the Covid-19 data.

In India, Covid-19 data was analyzed using Tableau. The analysis of the data focused on the following key data points:

  1. The timeline of the spread in the country
  2. The primary reasons for the spread and the various government responses to it.
  3. Analysis of research and development.
  4. The number of Covid-19 tests carried out and analysis of the same. 

To be up-to-date on data analysis, get a Tableau certification by doing a Tableau course or a data science course in India at Imarticus Learning.

Timelines were plotted, charting the return of tourists from Wuhan and the return of tourists from Italy. The various events which led to the congregation of people were all charted.

Most of the reasons for the spread were the various religious congregations in the country belonging to different faiths. This led to the peaking of the Covid-19 cases, as shown in the above chart.

Government responses can be classified as under:-

  • Thermal screening of patients returning from abroad. This was gradually extended to the various airports in India.
  • By Mid-March, containment measures were introduced to prevent spread through contact.
  • By 22nd March, lockdown measures were introduced in 22 states, followed by inter-state movement restrictions. The gradual nationwide lockdown was also introduced. The data graphs in Tableau show rapidly increasing numbers of Covid-19 patients resulting in further extensions of the lockdown.
  • Research and treatment: India fared better compared to the rest of the world, as shown in the Tableau graph below:
  • Many government facilities such as the DRDO and ISRO started producing protective equipment, PPE suits, and ventilators to fight against Covid-19. Gradually other Public and private sector enterprises were also drawn into the production of equipment to protect against the Covid-19 epidemic.
  • Testing: Covid-19 testing was gradually extended to cover significant population proportions. All pneumonia cases were included in the ambit of testing.

 The testing ambit was gradually widened to include broader testing in all the hotspot areas. The graph below shows the confirmed cases contrasted against the number of deaths in India.

Some of the important takeaways from the above exercise were:

  • Data from Tableau graphs and data visualization models were used for public decisions.
  • The data visualization models were used to communicate the immense scale of the tragedy in a way that mere numbers could not.
  • The summary statistics mask inequalities between regions, states, and groups of people.
  • The data collection itself was a very complex exercise.
  • One measure from the data charts or visualization exercises does not tell the complete story. Many measures had to be taken together to tell the complete story of the progress of the Covid-19 epidemic.
  • Rapid developments of Covid-19 charts happened at the expense of accessibility. The Tableau statistics and graphs were not accessible to those working on the ground.  

 To be up-to-date on data analysis, get a Tableau certification by doing a Tableau course or a data science course in India at Imarticus Learning.

Visit Imarticus Learning to learn more. Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Top 6 careers in financial services and capital markets

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Top 6 careers in financial services and capital markets

Financial services and capital markets are considered to be one of the most lucrative domains out there. Most of the job roles in the domain of finance offer great career prospects and growth. Because of the financial accounting work and the transaction of huge amounts of money in the capital market, there are a lot of career opportunities available with high earnings. If you really want to grow in the world of finance, then you must consider doing a financial risk management course.

Top Six Career Options in Finance Services

  1. Investment Banker – An investment banker raises capital for organizations and companies. Investment bankers also facilitate deals such as mergers and acquisitions for companies. Investment bankers also handle the portfolio of large investors and assist them in investing in start-ups as well.
  2. Financial Analyst – Financial analysts specialize in markets, accounting and economics, and compliance. They advise companies to make strategic decisions and invest, based on financial models, analysis, and revenue estimations. 
  3. Venture Capital Analyst – Here, the responsibility is networking, following the new market trends, and meeting potential targets. You will help provide start-ups and small firms with new business expansion plans but do not have access to the stock market. 
  4. Chief Financial Officer (CFO) – A CFO is tasked with conducting a company’s financial activities. He/she plays an important role in the overall success of a company by influencing the company’s strategy.
  5. Stock Broking – There is no doubt that stockbroking is a lucrative profession. You can also do a job as a stockbroker or even open your own broking house.
  6. Risk Analyst – The risk analyst’s liability is to minimize losses and mitigate the uncertainty of the company. He/she identifies and analyses potential threats to a company’s assets, and predicts changes, future trends, and costs for the company.

Top 6 Careers in Financial Services and Capital Markets

 

  • Credit Analyst – The responsibility of a credit analyst is to review financial information to finalize the process of loan decisions. Credit analysts may take part in audits of companies and individual clientele.

 

  1. Fund Manager – A fund manager’s main job role is to buy and sell shares in an establishment’s portfolio. This may include reviewing a company’s portfolio so that he/she is buying and selling the right stock options. Fund managers also administer the mutual funds and pensions of the company.

  2. Business Development Manager (BDM) – The BDM conducts research in markets and creates strategies for enhancement. He/she helps the company to grow with new ideas, processes, and plans.

  3. Actuary – The actuary mainly works in the insurance industry. He analyses the prospective risks for a business and develops insurance policies with all options and prices. The benefits for the company are estimated in the pricing of the insurance products.

  4. Senior manager – A senior manager is the mastermind of the initial public offering (IPO process). He/she raises funds for business and updates shares and bonds on the stock exchange boards so that investors can bid and be active in trading.  Opportunities are there in banks or finance companies for a senior manager.

  5. Underwriter – An underwriter is responsible for analyzing and finalizing applications for mortgages, loans, securities, and insurance policies. The financial risk of a company depends on the underwriter.

Conclusion

IIM Lucknow is offering the best courses to achieve top careers in financial services and capital markets. It is one of the leading colleges in India, and you must visit. Join now and conquer the world of money. The PGDM in Finance Management is the perfect course to start with for individuals who wish to start their own businesses also.

Incident Management in Cybersecurity: Best Trends and Practices

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Incident Management in Cybersecurity: Best Trends and Practices

With emerging technologies and heavy usage of digitization, the world has been embracing technical advancements without reservation. But as technology makes our life easy, it is very difficult for our data to be safe and secured. 

Cybercriminals are becoming more innovative and developing sophisticated and unrecognizable online/offline threats to our data. Security breaches are rampant; in fact, 65% of security professionals believe they will have to tackle significant violations in the coming times, amounting to a $3.86 million loss. 

Such desperate times only increase the need for professional data security analysts to work and help organizations protect their data and keep it safe. As a result of this technological emergence and booming opportunities, many individuals make cyber security their preferred career choice.

There are multiple online courses for cyber security that can help you become a skillful data security analyst to keep your organization’s data safe and sound. 

When pursuing a career in data security, here are some of the best trends and practices that will help you keep your data security game on top! 

 

  • Make an incident response plan. 

 

You are preparing yourself to keep away from almost every security incident by making an incident response plan. This activity will help you enable and outline procedures for controlling, detecting, and remediating security incidents, which will also keep other employees aware of how to respond to such security events. 

Your incident response plan should be of at least six steps which should consist; 

  • Preparation
  • Identification
  • Containment
  • Elimination
  • Recovery 
  • Post-incident review process

This process will help you prepare a comprehensive incident response and eliminate downtime during emergencies. 

 

  • Develop threat-specific incident response.

 

Not all cyber threats are the same, and you as a data security analyst will have to know how to respond as fast as you can to different threats. Employees will remediate the incidents as quickly as possible and react to them. 

You can also educate your employees about cyber threats by developing a series of incident response playbooks to offer you a glimpse of specific cyber threats and how to control them.  

 

  • Communicate and share knowledge.

 

Communicating and sharing knowledge about the importance of such data threats is one of the most important tasks. You should create a communication plan with a standard action process for employees to act upon the attack. Your goal should also include highlighting the contact person to report a breach and making them understand the roles and responsibilities of every employee. The process and chain of communication also highlight notifying the regulators about past data breaches, which ultimately enhances the protection of the data. 

 

  • Keep it straightforward. 

 

Despite preparing comprehensive and detailed incident response plans, it is essential to note that they should be easy for people to understand. Your employees should know how to manage incidents and respond effectively. It is necessary to keep it simple to be counterproductive and take quick actions. 

 

  • Forensic and functional techniques 

 

This procedure is essential for containment, investigation, reporting, analysis, and real-time observation. It helps promote the evidence collection process and carry out the responsibilities based upon the particular member of the team. 

In conclusion

Incident management is one of the most critical topics in cybersecurity. It helps organizations resolve their security incidents faster and more effectively. To become a data security analyst, Imarticus Learning offers a comprehensive and life-transforming Post-Graduate Program in Cybersecurity that will elevate your career and help you become a knowledgeable, experienced, and skillful data security analyst. Connect with us via chat or our chat support, or directly visit our center near you for more admission information. 

Fundamental Shifts That Are Shaping Search & Digital Marketing

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Fundamental Shifts That Are Shaping Search & Digital cactusmeraviglietina.it Marketing

Since the COVID-19 pandemic occurred, humans have seen a climatic mix of chaos, uncertainty, empathy, challenge, and opportunity. Companies shifted to adjusting modes of operations all over the world, and things have been rapidly changing in the marketing scenario. The digital transformation has accelerated manifolds, and the demand for SEO is at its zenith.

Here are some fundamental shifts that the market has been seeing recently!

Five Fundamental Shift that is shaping markets:

The Conventional Journey of customers is shifting in Many Sectors of the Economy:

More prominent organizations historically relied on tradeshows & field-to-field meetings. Those traditional players are also considering investing in online content to replace what consumers would have got from offline events. They are actively creating content & mechanisms for one-on-one online interactions to connect better with customers.

Search can assist in revealing radical changes. Marketers need to continue to invest in virtual connections and be prepared to balance them with in-person events.

Narrowcast Marketing Fails in Testing Times

Marketers looking at a narrow range of metrics may fail to capture important Business Intelligence to know the full extent of market shift and be informed about the search strategy. It’s crucial to process massive amounts of data to see the complete scope of changes across the whole landscape. Marketers need to ingest as much data as they can to use it better & utilize AI in the best possible manner.

What’s Past Is Not a Preface

There has been a significant shift from over-reliance on historical trends during the pandemic. The real-time data in the search & content space plays a more significant & critical role today. Thus, it is vital to detect how markets & customer intent are changing massively and quickly. SEO and digital marketers must speed up when things change rapidly. Marketers need to respond quickly to thrive in such situations and look for timely data to rethink strategies.

Prominent Trends May Put a Veil on Important Things

Valuable insights can be mainly found in specific markets. As a marketer, things you need to assess are:

  • City-by-city changes.
  • City-pair changes.
  • The timing of regional lockdowns & local quarantine requirements.

You need to look at a granular level and find opportunities in various markets. Focusing broadly and profoundly is your secondary task while processing vast amounts of data & get better insights are actionable primary tasks.

What digital marketers and SEO professionals have long known is finally coming to fruition. Now is the time for marketers to test new ways of understanding intent from a macro industry & a micro user perspective.

Explore a Career in Digital Marketing with Imarticus Learning:

If you have a quest for the best digital marketing certification driven by a career goal like building a career in digital marketing, Imarticus Learning is your place! For those seeking answers to how to learn digital marketing, the Digital Marketing Post Graduate course is the answer.

The program is designed to give you extensive and detailed coverage of Digital Marketing concepts more practically. The program adopts a collaborative approach focusing on multiple capstone projects, job-ready skills, and guaranteed job assurance. This digital marketing course online prepares your end-to-end to start or upgrade your career in the Digital Marketing segment.

The program lets students equip themselves with a thorough knowledge of marketing concepts like SEO, Content, Social, Paid Media & ORM. 

The program lets you work on a simulated journey that is uniquely built to help students apply conceptual knowledge in a practical environment.

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

6 Trends Shaping the Future of Data Science

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6 Trends Shaping the Future of Data Science

Introduction

The data science industry is rapidly evolving. The field is changing from the types of data collected to the tools and techniques used to analyze it. More and more companies are using these insights as part of their business strategies. As the world becomes more digitally adept, data scientists are in high demand to help businesses make sense of the information they collect.

At Imarticus, we offer data science courses as we are always on the lookout for what’s next in this rapidly changing future of data science. 

Here are six predictions for trends shaping the future of data science:

1. Data Collection Becomes More Ubiquitous

As companies become more comfortable with data to improve their business performance, they will likely collect more data about their customers and employees. In particular, we expect to see an increase in the amount of location-based information that companies collect about their customers’ movements (and even their emotions).

We are still in the early stages of understanding how to use data to make better decisions, but we are beginning to understand which best practices are most effective. For example, there’s a growing consensus that it’s essential to train your models on as much data as possible—not just large datasets but a variety of datasets representing different data types and problem areas.

2. Data Scientists Become More Valuable

As companies start collecting more data types, they’ll need to hire people who can help them make sense of it all. They will be willing to pay top dollar for those people because they know how important it is to access insights from every corner of their organization. There will also be an increased demand for people training in applied statistics or machine learning to apply those skills broadly across all areas. 

Data democratization: Data scientists are not just going to be working in corporations anymore—anyone with an internet connection can harness the power of data science.

3. The Internet of Things 

IoT is already changing/defining how we interact with our environment, and it will continue to change how we interact with data. As our physical world becomes increasingly connected, we can analyze our surroundings better and understand what they mean.

4. Machine learning

ML is becoming more accessible than ever before. Thanks to cloud computing and powerful open-source tools like TensorFlow and Keras, even non-coders can create powerful models without needing a Ph.D. in mathematics or computer science.

Additionally, there is a growing awareness regarding the importance of machine learning algorithms that can handle complex tasks with no human-defined solution. It means creating systems that can learn from their users’ behavior over time and use this information to solve new problems. It is similar to how Google Search knows what you want when you type in “tacos” or “puppies” while providing recommendations based on your previous searches.

5. Deep learning

Deep learning helps us understand language at a deeper level than ever before. By analyzing a text at various levels—from individual words up to sentences, paragraphs, and entire documents—we can extract information that would otherwise be impossible to find using traditional keyword search or keyword matching algorithms.

6. The growth of Big Data

As more people start using personal data to make discoveries, we’re going to see a lot more information about human behavior emerging—and as it becomes easier for people everywhere to collect this information and share it with others, we’ll see even more discoveries made through crowdsourcing efforts than ever before.

The future of data science will also be shaped by developments in automation technology, including AI assistants like Siri or Alexa. These technologies allow us to interact with computers in new ways. For example, they can understand natural language input like commands or questions and provide answers quickly without requiring us to learn programming languages.

Conclusion

The future of data science is an exciting one. We’ve already seen some incredible advancements and more to come. Now is the best time ever to enrol in data science courses and build a career for a digital future.

Imarticus learning offers a Certificate Program in Data Science and Machine Learning to guide and train you with the best resources to prepare you for this data journey.

Get in touch with us and find a detailed analysis of how this program can potentially revamp your career. Contact us through chat support or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon for more information.

The Time is Now: Digital Transformation in Investment Banking Operations

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The Time is Now: Digital Transformation in Investment Banking Operations

Investment banking is an age-old industry that caters to the needs of businesses, investors, and capitalists. Investment banking is known to have an in-person engagement for its business processes. However, due to the recent COVID pandemic, investment banks had to reduce the level of in-person engagement.

For ensuring business continuity during market disruptions, investment banks are undergoing digital transformation. Digital transformation is helping investment banks to ensure business sustainability in this competitive space. Read on to know more about digital transformation in investment banking operations. 

The rise of the fintech industry 

There are many fintech firms that provide banking services to their customers with the aid of technology. Not all banking services are provided with the help of technology as some processes still need in-person engagement. For example, investment banks have to meet the client to explain the due diligence reports and competitive analysis reports. However, the fintech industry is on a roll and is generating huge revenue. Investment banks have a close eye on how fintech players have grown by adopting technology for banking services. 

WFH culture 

Some investment banks were not in the favour of digital transformation. However, when the COVID pandemic hit the globe, it was clear that digital transportation was necessary. To ensure business continuity, investment banks had to adopt the WFH (Work from Home) culture. Adopting the WFH culture required developing a virtual desktop infrastructure so that the employees could work remotely. Also, some of the investment banking operations were automated with the aid of technology. Those activities that could not be performed remotely were automated like AML (Anti-money Laundering) activities.

digital transformation in investment bankingThe effect of digital transformation on banks can also be seen in the recruitment process. Applicants with an investment banking operations course were selected via online tests and interviews. Young enthusiasts also looked for investment banking operations courses that could teach them about the technology being used in the industry. 

Use of new-age technologies 

The investment banking industry has now understood the importance of new-age technologies for business processes. Technologies like AI (Artificial Intelligence), data analytics, ML (Machine Learning), and others are being used by investment banks. AI/ML algorithms are being used to introduce automation in investment banking processes. 

Data analytics is being used widely in the investment banking industry to make sense of unstructured data. The customer and organizational data produced by investment banks need to be analyzed. It helps them in knowing the preferences of clients, market situation, and possible opportunities. The analytical insights can help an investment bank make better business decisions. You can find an investment banker course in India that includes data analytics and AI in its syllabus to highlight the importance of new-age technologies in the industry. 

You should choose an investment banker course in India that also focuses on digital transformation. Imarticus Learning is a reliable course provider that can help you in building a successful career in the investment banking industry. 

Why choose Imarticus?

Imarticus provides a ‘Certified Investment Banking Operations Professional’ certification course with an industry-endorsed curriculum. It is the best course for investment banking that will familiarise students with industry processes. Besides introducing financial markets to students, this course will also teach them about risk management and the trade life cycle. Imarticus also provides placement support via their investment banking course. You can learn job-relevant skills and can build a sustainable career. 

Conclusion 

You should choose a course that offers you an understanding of the tools and technologies used in the investment banking industry. Imarticus offers the best course for investment banking that covers multiple aspects of the industry. Start your investment banking course online now! 

The art of risk management in 2022

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The art of risk management in 2022

Introduction

We are always taught to save a certain amount every month to deal with unforeseen situations like health ailments, unfortunate incidents, or job loss. Similarly, banks, corporates, and other organizations need a plan to prepare them to deal with the situation arising due to the volatile market. Here comes the need for a professional risk management expert who can help organizations prepare in advance.

With changing times, several new courses have been introduced, and risk management is one of them. A professionally trained risk management expert is a person who can assess the rapidly changing and volatile market, identify the probable risks, and control threats to an organization’s capital and earnings. 

Risk management

  • The process of risk management helps organizations predict emerging threats, understand the implications, and devise a strategy to avoid or minimize their repercussions.
  • Risk management emerged as a new area of knowledge more than two decades ago, causing profound changes worldwide. It has become essential in today’s volatile economy. 
  • Financial risk management is one of the most sought-after skillsets to have not only for the financial services industry but for other sectors as well. Having knowledge of risk management increases your chances of earning well.
  • Fuelled by the complexity of financial products, increased regulation, and recent notable failures, the risk management profession has seen considerable growth over the past 15 years. 
  • Risk management is not an easy job: it needs specialized skills and expertise.

Job opportunities

  • Like other careers, having an advanced degree and certification in risk management escalates your chances to have a sound career opportunity in the financial risk management sector.
  • Candidates with a professional degree in financial risk management (FRM) can hope to have promising job opportunities as chief risk officer, senior risk analyst, head of operational risk, and director, investment risk management, to name a few.
  • FRM training is essential for you if you plan to get into risk management.

Need for risk management experts

  • Primarily, risk management has been associated with the banking, finance, and insurance sector (BFI). 
  • However, the global COVID-19 pandemic, the financial crisis, and the failures of several corporates have called for the need to have risk management experts in almost every sector who can evaluate and address potential risks across the enterprise, rather than in just the financial parts of the company. 
  • This has opened doors to various job opportunities for graduates with a professional degree in risk management.

Risk Management in Banking

  • It is difficult for anyone to predict or sense future challenges in any sector. Banking, in particular, has a cascading impact across industries. 
  • Thus, the requirement for risk management is inevitable for the banking sector compared to other sectors. 
  • With the expertise of risk management professionals, banks can initiate some initiatives now to deliver short-term results while preparing for the coming changes. 
  • By preparing in advance, banks will be able to avoid risk functions created by unforeseen situations.

Risk Management courses

  • Given the rising demand for experts in various industries, several institutions, including Edtech platforms such as Imarticus Learning, a technology-driven educational institute, have started offering professional courses in risk management.
  • The availability of courses in online mode offers an opportunity for people from anywhere to opt for this course at their convenience. 
  • Undergraduate and postgraduate students can simultaneously pursue such courses. It helps them save time and get into the professional world. 
  • Working professionals can also opt for risk management to improve their employability in various capacities depending on their skillsets.

Investment banking course with placement

In addition to risk management, Imarticus Learning also offers Certified Investment Banking Operations Professional (CIBOP). The duration of the course is 180 hours and equips you with the skillsets required to begin a career in investment banking operations, treasury, and clearing services. Placement is also taken care of by the institute.

Blockchain innovation and the top-notch certifications to look out for in 2022

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Blockchain innovation and the top-notch certifications to look out for in 2022

Blockchain is creating a dent in the world of business. It has disrupted the way we conduct business, the way we interact, and the way we transact. Over the last decade or so, blockchain has acquired quite an immutable status. 

If you look closely at the FinTech sector, you will notice a plethora of applications of blockchain. In fact, blockchain innovations are revolutionizing the service industry so much that a microcosm of fintech apps has leveraged this technology in its design and development. Understanding this technology, therefore, is a crucial part of working in the FinTech sector. It has become an integral module in some of the best FinTech courses in India. 

In this blog post, we will discuss the blockchain innovations you should be up-to-date on and the Blockchain certification that can help bring you up to speed. 

Why should you know about Blockchain innovations?

Hands-on, up-to-date knowledge about blockchain is an asset in today’s world, especially if you’re considering working in the financial sector. Any kind of digital work in FinTech will involve blockchain technology. If you understand how it works, you will be able to add value to the user experience as well as think of innovative applications of the concept. 

In short, knowledge of blockchain gives you a competitive edge as a candidate or a technology worker. 

Why do you need a Blockchain Certification?

Sure, working in the FinTech industry is lucrative: the FinTech market is estimated to be valued at $1.3 Tn by 2025 and is expected to grow annually at 31%. This figure encompasses almost 2,000 startups, of which 17 are unicorns. With this tremendous growth comes the need for specialized skill-sets in human resources. This is where your blockchain knowledge can give you an upper hand over others. 

Roles in the FinTech sector can vary widely, but you will start with a fundamental understanding of how blockchain works. Where can you acquire this knowledge? A blockchain certification will help you bridge the knowledge and/or skills gap. 

A blockchain certification will start with an introductory understanding of the technology and related concepts. From there, it will expand your comprehension of the technology application in the sector. 

Upon completing one of the best FinTech courses in India, you will be able to answer questions such as: How has blockchain technology made cryptocurrencies a reality? How has this technology transformed lending, security, consumerism, business models, and digital property landscapes? What makes blockchain successful, and how can we improve our products and services by leveraging this technology?

Certain blockchain certifications will involve a more specialized approach aimed at developers and cloud architects who work on the technical side of things.

No matter what profession or department you work in, blockchain certification can reap benefits like higher salaries relative to non-blockchain roles. It will give you a competitive edge and help your business or organization gain a first-mover advantage in adopting blockchain technologies. 

What makes a good Blockchain certification in 2022?

You will find that the best FinTech courses in India impart more than just foundational knowledge about blockchain. They share practical implementation and actionable insights on how you can use this knowledge in real-world business situations. After all, in the end, that’s what matters: how effectively can you address business conundrums through your expanded knowledge base.

One such course is the Professional Certification In FinTech, provided by Imarticus Learning in partnership with SP Jain School of Global Management. It combines the best of both worlds: hands-on training on intuitive and smart platforms, as well as training from FinTech leaders. Everything you wish to learn about Cloud Computing will just be a few steps away.

In the end, you will be handed a real-life business simulation for assessment of your decision-making, problem-solving, and critical thinking skills. 

If you are keen on upskilling, you can enroll or discuss it with a counselor before applying for the course. You can also visit one of our centers in your city for more information. 

Learn Python Online: Things that non-programmers must know

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Learn Python Online: Things that non-programmers must know

The developer of Python, Guido V Rossum, created it as a hobby project back in 1989. Today, Python has become one of the few official programming languages of Google due to its ease of use paired with efficiency. Python won the position of most popular programming language in 2020, as put forward by a joint survey of Google Trends and GitHub. In terms of programming language usage by global developers, Python has secured the third position in 2021, following JavaScript and HTML/CSS. Are you a non-programmer? Then Python can be your ideal starting point. And, here are a few things that you should know about this programming language.

Python: What is it?

It is an object-oriented, high-level programming language. It is a general-purpose, interactive programming language, the name of which is based on Rossum’s favorite TV series, “Monty Python’s Flying Circus.” The language is known for its versatility and simplicity, making it ideal for beginners and non-programmers.

What are the features of Python? 

Do you want to learn Python? Here are a few features to know about.

It can be integrated: 

Python can be integrated with an array of programming languages like C, C++, and Java.

Python is interpreted, and interactive:

Python can be processed by interpreters while they run it and a learner does not need to compile the program before execution. It is interactive because you can interact with the interpreter directly.

It is object-oriented:

Python is an object-oriented programming language and has code reusability. Designing an application with Python is easier with minimal coding.

Ideal beginner’s language

Python is characterized by the simplicity of structure, clear-cut syntaxes, and less number of keywords, thus making it simple to learn for any non-programmer. Furthermore, it is an open-source software freely accessible to all.

Why learn Python?

Tons of career opportunities:

The popularity of Python has contributed to the rising demand for Python programmers. Certification in data analytics can promise you an array of career choices.

Active community:

Program learning is not a solo sport. A massive community for providing the required learning support is vital to proper learning. Python has a considerable community backup which helps non-programmers in their learning.

Highly versatile:

It is a highly adaptable programming language that is used in multiple fields like web development, data science, software designing, and gaming. Python’s versatility is further enhanced by its ability to sync with a variety of other programming languages. Thus, it is a ‘cross-platform’ language.

Which fields use Python?

Python’s simplicity and ease of use have granted it access to a variety of fields like:

  • Web applications
  • 3D CAD-based applications
  • Software development
  • Auditory applications
  • Machine learning
  • Visual applications
  • Artificial intelligence

 Tips to keep in mind

Now that you know what Python is and what its features are, here are a few tips to keep in mind before opting for certification in data analytics:

  • Being consistent in code-making always helps to learn better. Are you making mistakes in coding? They are the stepping stones to your proper learning. So, code every day!
  • An interactive Python shell can be your ideal learning tool.
  • Opt for the pair programming technique, where you will pair with another developer. This way, you both will switch between writing codes and reviewing and problem-solving. Now, you can learn both sides of Python.
  • Opt for data analytics certification courses online, which can offer you the best possible resource to learn Python faster.

Conclusion

Are you looking for data analytics certification courses online? If yes, then you must check out the one offered by Imarticus Learning. With a fully online learning mode, this course is ideal for future data science experts and is backed by case studies, real-life business projects, and mentorship sessions.

Beyond The Hype: Learn Computer Vision

Posted on by Imarticus Learning

Beyond The Hype: Learn Computer Vision

Computer Vision is a subfield of artificial intelligence. One day it’ll be our go-to method for identifying objects and faces in the world around us—one way or another, if you’ve ever tried Google Photos’ facial recognition feature, it’s where computer vision work. It uses mathematical models to identify people’s faces in images (and tag them automatically). This blog post will explain what computer vision is and why you should learn it.

Why should you learn computer vision?`

It’s a highly sought-after skill, and it’s easy to understand because computer vision is a practical skill that you can use in real life. Not only that, but it’s also an interesting subject matter with lots of potential for growth and development. 

Some apps already use computer vision we use every day—like Snapchat filters, which use face-tracking technology to make you look like a cat or dog when taking photos with friends.

What is the application of computer vision?

You can use computer vision in countless applications, including:

  • Image recognition involves the ability to identify objects or scenes within an image, as well as the ability to track things over time. In the coming years, you could use these technologies in retail stores where customers can scan their items at a self-checkout station and then be billed immediately by their mobile phones—no need for cashiers!

  • Image classification involves categorizing images into different groups according to what they depict (e.g., dog vs. cat) or what part of the human body they represent (e.g., face vs. hand). For example, Amazon uses image classification algorithms on its website to automatically understand which products are shown in each image so that when you search for something similar online. It can give you suggestions based on previous searches made by other customers who clicked through from Google Images links before coming back later with those same results still ready for consumption! 

It also helps retailers build better recommendation engines based on user feedback after making purchases or browsing various pages on eCommerce sites like Amazon’s own interface. But these systems aren’t perfect yet because they require millions upon millions of training data points before making accurate predictions about new ones that may contain unusual patterns not seen before. 

How can you start learning computer vision as a beginner?

There are many resources for learning about computer vision. The best way to start is by understanding the basics of computer vision and then learning about the different algorithms used in computer vision. You can also learn how these algorithms work.

You can use many resources to learn more about computer vision, including books and online courses.

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This deep learning Artificial Intelligence credential brings together the E & ICT Academy, IIT Guwahati, and the most prominent industry specialists. This AI course will help students prepare for careers as data scientists, data analysts, machine learning engineers, and AI engineers.

Course Benefits For Learners:

  • Students can now participate in 25 real-world projects to get industry experience and prepare themselves for a fascinating future in data science.
  • Impress employers and demonstrate your talents with an E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed certificate.
  • This IIT artificial intelligence course will help students land lucrative jobs in the disciplines of artificial intelligence and machine learning. 

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

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