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A Python Guide For An Excel Person

Posted on by Imarticus Learning

A Python Guide For An Excel Person

The most widely used programming language today, Python, has countless uses in various industries. It is the best option in terms of deployment and maintenance, thanks to its dynamic and flexible capabilities. MS Excel is one of the well-known Microsoft programs that functions like a spreadsheet and is used to store and analyze numerical data. 

It was among the first tools businesses worldwide used to evaluate data and draw conclusions. The phrase “conventional BI tool” is also used to describe it. You may easily transmit data from any source to any destination by using Python Excel Automation. 

Using Excel and Python for Data Science

In the year 1987, Microsoft created the spreadsheet program known as Excel. Almost all operating systems, including Windows, Android, etc., formally support it. It already has the Windows OS pre-installed and is simple to connect with other systems. Microsoft Excel is the most powerful and widely used application for working with structured data. 

Your data is arranged, processed, and stored in a tabular row-column format. Calculations, pivot tables, graphs, and much more are all possible! Since its introduction, this program has grown in popularity and is used extensively around the globe in various application sectors and domains. 

How Can Python Automate an Excel Spreadsheet?

Step 1: Analyze the datasheet 

Analyzing the Dataset is the first stage in Python Excel Automation. This lesson makes use of a sales dataset.

Step 2: Using Pandas to create pivot tables

Designing pivot tables is the next step in Python Excel Automation. Pandas often read an excel file, which generates the pivot table and exports it to Excel. Then, you can create charts and spreadsheets in Python and write Excel formulae using the Openpyxl module.

Step 3: Using Openpyxl to design the Reports

Designing the reports is the next phase in Python Excel Automation. You must use the “load workbook” function from Openpyxl to create the report, and you can save using the “.save()” method.

Step 4: Using Python to automate the report

The automation of your report is the next Python Excel Automation step. To make it simple to automate the report, you may write all the code in a single function. 

Discover Python Certification with Imarticus Learning

We build predictive models that improve business outcomes by learning how data science gets applied in the real world. This ensured placement program is appropriate for professionals and recent graduates who wish to pursue a career in data science and analytics. 

Course Benefits For Learners:

  • Learn how to become a data analyst and master the abilities of Python for data science, SQL, machine learning, and data visualization. 
  • 25 in-class, real-world projects will help you master data science abilities. Participate in hackathons, capstone projects, and mock interviews to develop practical skills. 
  • Our python tutorial includes capstone projects, real-business initiatives, pertinent case studies, and mentoring from relevant industry professionals to assist you in becoming a skilled data scientist.

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

An Introduction To The Certificate Program In Data Science And Machine Learning In Association With Ihub Divyasampark @ IIT Roorkee Course

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An Introduction To The Certificate Program In Data Science And Machine Learning In Association With Ihub Divyasampark @ IIT Roorkee Course

Introduction 

In today’s world of innovation, data science is a wonderful opportunity. It makes great use of technologies like artificial intelligence, machine learning, analytics, and more. The recent technological revolution in the industry has significantly increased the demand for these elite technological talents.

Data science trends

Data science is currently emerging as a very demanding trend in the industry. The size of the Data Science Platform market is projected to increase from USD 95.3 billion in 2021 to 322.9 USD billion in 2026, with a compounded annual growth rate of 27.7% over the forecast period (CAGR).

As business modernization and digitization double, data continues to grow. By 2025, the global data sphere will have 175 zettabytes of data, according to Seagate UK. And the data crafter is in high demand.

The US Bureau of Labor Statistics estimates that the growing importance of data science will create approximately 11.5 million jobs by 2026.

Data science vs. machine learning – which one is a promising career? 

Machine learning engineer and data scientist are two of the most popular jobs in the industry. Writing code and distributing ML solutions is the primary responsibility of an ML expert. Data experts, on the other hand, examine raw data and extract useful information from it. Over time, the line between machine learning engineers and data scientists is narrowing as technology integrates their work into a single solution. Professionals who can organize this vast data to provide business solutions will be in high demand.

If you get a chance to learn both subjects in the same program, you will be lucky. Right?

Why train yourself in data science and machine learning?

According to a 2021 India Talent Trends report published by recruitment firm Michael Page, data science professionals with 3-10 years of experience earn an annual salary within the range of Rs 25-65 lakh, while those with more experience can offer a salary package of more than a crore.

If you are a beginner in the IT industry or a mid-level developer aspiring to become a data scientist or machine learning engineer, you can confirm your career with a certificate token in the data science/machine learning programs available online. Many data sciences online training providers conduct short dredging courses in data science and machine learning. You can choose one of the best data science courses available.

Of course, those who want to pursue a career in data science, machine learning, data analytics, or even business analysts need to recharge their skills in the data science domain. Certification programs in data science and machine learning will help them align their qualifications. Go to the course and visualize yourself on the path to your dream role as a data analyst, data scientist, data manager, BI expert, business analyst, data analysis consultant, or similar. 

Data science certification

The certification program in the Data Science and Machine Learning program at Imarticus Learning is an ideal opportunity for new graduates and those in transition to a career change in data science and machine learning. This is a 5-month live online training program designed by the top faculty members of IIT and industry experts.

Program outcome

You will learn the basics and aspects of data science and machine learning. Students can build a strong foundation in data science. Using Python, you can specialize in machine learning with core algorithms and data-driven decision-making. When you exercise with the right knowledge, the use of learning in live projects helps solve real-world problems.

The guidance and mentoring of industry experts with extensive experience working in the data science and machine learning domains in many organizations certainly help students to excel in project work. The great thing about project work is that you get to work in various industry domains, adapting to your current work domain or your subject specialization.

Some interesting examples of projects are:

  • Developing a predictive model for property valuations in real-estate companies
  • Fare prediction of online taxi service in transportation/logistics sector companies
  • Vaccine prediction using patient medical attributes analysis in the healthcare industry 

The resources behind this program

This course is thoughtfully designed to create the entrepreneurs of tomorrow under the scheme of Digital India Support, tagged iHUB DivyaSampark @ IIT Roorkee. The program also provides an excellent platform for those young learners who are enthusiastic and startup-minded. Such entrepreneurs can develop innovative ideas to implement and gain funding support.

You will receive a certificate issued jointly by iHUB DivyaSampark @ IIT Roorkee, Department of Science and Technology (DST), and Imarticus Learning.

Please contact us via live chat and/or message to get more information about the courses or visit one of our training centers in Mumbai, Thane, Pune, Delhi, Gurgaon, Chennai, and Bangalore. 

How the evolution of cloud computing is accelerating the opportunities in Fintech

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How the Evolution of Cloud Computing is Accelerating the Opportunities in Fintech?

Cloud computing has changed how organizations of all sizes operate. Using cloud technologies, companies from all domains can provide services to their customers or users more effectively while making collaboration inside the organization easier. With the help of cloud computing, the financial sector has adopted more agile, holistic, and flexible business models. And, same is the case with the banking sector as well, which has evolved to provide faster services and interoperability with the help of cloud technologies.

Without the need for in-house IT resources anymore, fintech companies have also started benefitting from the 24×7 uptime and the ability to support millions of users simultaneously. A good fintech course or a fintech training course can definitely help one learn more about cloud computing for a career in fintech.

Further, the fintech industry relies on scalability and technologies that offer security and efficiency. Cloud computing cuts down costs by not requiring dedicated IT infrastructure and empowers the development of fintech services or applications (loan disbursal applications, payment gateways, stockbroking applications, etc.) while also enabling the continuity of these services and their related business operations such as customer service, analytics and database management.

A reduction in operational costs and the adoption of automation also help fintech companies increase their revenue. For instance, it is easier and cheaper to incorporate artificial intelligence, robotic process automation or automated analysis with the help of cloud technologies.

Benefits of incorporating cloud technologies in fintech

Here are some ways fintech companies of all sizes are benefiting from cloud computing:

  • Easier documentation, storage and sharing of financial information
  • Security, access control, encrypted systems and ease of monitoring
  • Compliance and more effective data governance
  • Ability to integrate automation technologies and scale projects
  • Effective data management and data segregation
  • Disaster recovery and systematic backups

How the evolution of cloud computing is empowering the fintech sector?

Here is how cloud computing is accelerating the opportunities in fintech:

Automation and self-service models: With more powerful cloud technologies, fintech companies are removing the need for manual work for both employees and users. It is also easier to incorporate advanced AI systems for self-service models which are especially useful during this pandemic. Working remotely and collaborating are also easier for employees with the adoption of cloud systems. 

 

  • Better security features: The cloud can be secured better and monitored more effectively. Updated cloud technologies are not being offered by companies such as Amazon and Microsoft alone, even small businesses are providing better data governance, encryption and access control. By educating employees and following the right protocol, fintech companies can avoid all kinds of data theft or cyber-attacks. With 360-degree cloud systems, data or services cannot be compromised physically. For example, one cannot take down a fintech application from inside the company’s office or destroy servers anymore.
  • Data management: With fintech companies targeting millions of people for using their applications or services, the ability to acquire and work with vast amounts of data is essential. Customers must be onboarded and verified while their data is used for account management and analysis of spending habits. Advanced cloud technologies are making it easier for companies to store this data for employees and AI systems to access it at any given time. This is removing the need for IT experts who need to periodically transfer financial information like in earlier times.

 

Unlike the previous decades, in modern times, companies are able to use high-speed internet connections, making it more efficient to use cloud systems and cloud storage. It makes tasks faster for fintech companies and reduces the need to buy expensive software and storage for multiple computer systems.

Tips To Become A Winning Financial Analyst With An Online Certificate Program 

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Tips To Become A Winning Financial Analyst With An Online Certificate Program 

The BFSI (Banking, Financial Services, and Insurance) sector is one of the most dynamic and rapidly evolving sectors today. According to the Monster Employment Index, the BFSI sector has an annual growth rate of 54%. It is also rife with lucrative, well-paid job opportunities, provided you have the skills and acumen to excel.

Financial analysis is one of the thriving and coveted career paths. This profession demands superior quantitative skills, problem-solving abilities, a logical approach, and strong communication skills. However, ambitious financial analysts will need to upskill continuously to stay relevant in their domain and rise on the career ladder.  

One approach is to pursue a cutting-edge, comprehensive Financial Planning And Analysis Course. If you are a financial analyst seeking to make your mark in the financial world, here’s how an online finance course can impact your learning curve and help you realize your full potential. 

The growth potential 

The core skills of financial analysts can be applied in several contexts. However, most professionals have little exposure to these paths. Financial analysts today can choose from over 2,400 career transitions! Some of the upcoming opportunities include Asset Valuation Consultant, Financial Planning Lead, Equity Research Analyst, Project Finance Manager, Mergers And Acquisitions Senior Analyst,  Corporate Finance Manager, Business Valuation Consultant, Private Equity Finance Manager, and Asset And Wealth Management Associate. Career growth in financial analysis comes with the opportunity to be a specialist in your work, earn a higher remuneration, and grow your reputation and professional network.  

Invest in skill-building


Technology is a game-changer for most professions, and the reality is no different for financial analysts. The adoption of emerging technologies and regulatory changes has raised professionals’ stakes. Yet, most traditional college and university programs have not kept pace with these paradigm shifts in the real world. 

Financial analysts should consider pursuing a Financial Analyst Training And Placement program specifically designed to address these paradigm shifts to build contemporary industry skills and savviness. Such a program offers the necessary tools to help professionals take on more expansive roles in the industry. Strong industry connections and placement assistance also help you excel in the recruitment process and expedite your career progression. 

Choose the right program. 

A superior online financial planning and analysis course opens new doors to learning through hands-on experience. For instance, a rigorous case study methodology offers an opportunity for an immersive learning experience. This approach ensures that post-exposure to concepts, you get to understand their application in the real world via case studies post-exposure to concepts. 

Ensure that your chosen online finance course has a credible knowledge partner from the industry, such as a Big4 consulting firm, and faculty with strong credentials. The curriculum must go deeper into core subjects such as financial modelling, valuation, accounting, and equity research. Last but not least, the program must offer a certificate recognized by the industry. 

This is a powerful toolkit if you’re looking to specialize in corporate finance, investment banking, equity research, and Mergers & Acquisitions. 

Learn on the go 

Today, you can continue to earn alongside learning through structured, digitized online financial analysis and planning courses. You can learn from the comfort of your smartphone through a mix of instructional video content, engaging assignments, live virtual classes with real-time learning, and regular assessments. You can also consume blogs and byte-sized online resources. Learning becomes a vibrant, challenging journey alongside an engaged community of peers from your fraternity.

Find mentorship and community. 

One of the most valuable elements of online finance courses is the opportunity to find a mentor. Mentorship comes with several advantages. This is an individual not only with strong credentials but an individual who plays a supportive, motivational role through your journey. You’ll get access to insider tips and leads and find a thought partner to support you in projects, discussions, and during the placement cycle. Another valuable asset is the community you nurture as part of the experience, which comprises alumni, faculty, mentors, and your peer group. This is an excellent opportunity to build a fresh network. 

Fuel your career growth

The financial world is full of possibilities for financial analysts looking to grow and achieve new heights in their careers. Equipped with the right skill set and access to mentorship and networks, you can take your place at the cusp of innovation and work alongside the movers and shakers of your industry.  

Connect with us through chat support or drive down to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Gurgaon and Delhi to further learn about online programs that can fuel your career growth.

Your Startup Can Grow With Tax Planning Training 

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Your Startup Can Grow With Tax Planning Training 

With a new unicorn getting listed in the country almost every day, many young professionals have become inspired to turn entrepreneurs. India has a favorable startup ecosystem with a lot of support from the investing community. However, for a healthy growth trajectory, it’s important to have a well-laid-out financial plan. When it comes to financial planning, a very critical aspect is the tax planning of the business. Entrepreneurs with a banking and finance career past may find it easy to manage these aspects, but others might need to undergo tax planning training.

Aspects of tax planning

New-age entrepreneurs have to keep in mind a lot of factors while planning their taxes. Some of these are listed below:

Business structure: Most startups nowadays aspire to have business centers in global marketplaces. It is critical to structure the business in accordance with taxation laws relating to party transactions, cross-border activities, avoiding double taxation, obtaining advantageous tax rates, etc. For cross-border activities, a KYC and AML certification comes in handy. 

Cash flow: There are several strategies to organize your transactions to manage taxes effectively. Incorrect accounting and transaction planning lead to higher taxes being paid and may also result in cash accounts being depleted by the time the tax payments are due. On the other hand, an excellent tax strategy will anticipate your future tax requirements, so that you have financial reserves to pay taxes on time.

Fines and court cases: Tax preparation is essential since it is the first line of defense against tax-related lawsuit claims. It will assist you in streamlining the present tax status and keeping everything in compliance with tax rules. As a result, the startup’s compliance rating improves.

Funding: Investors always prefer a tax-compliant and healthy startup. Therefore, tax planning is beneficial as it brings in investment. A KYC and AML certification can help you in money laundering checks.

Useful insights on startup tax planning  

As an entrepreneur, one aspires to both generate value, as well as revenue. To do this, you can plan:

– Strategies to cut capital gains tax, reduce future estate tax, and boost asset protection from creditors and litigation. 

– A strategic approach to reducing your exposure, which will, in turn, be cost-effective.

– Shareholding patterns to enhance tax efficiency.

Tax planning training courses

The courses given below can help you manage the different factors of financial planning:

FOREIGN ACCOUNT TAX COMPLIANCE ACT (FATCA)

This course helps you understand significant aspects such as how to implement FATCA correctly and efficiently, what are the FATCA obligations for non-US institutions, etc. 

REGULATORY (CROSS GEOGRAPHICAL) REPORTING

This course entails various regulatory reporting requirements. It can help you understand the various reporting requirements when dealing with stock exchanges of different countries and the norms set forth by the respective regulators.

ANTI-MONEY LAUNDERING

One of the most important compliance requirements for businesses is anti-money laundering. This course helps you understand and identify:

  • Money laundering techniques/indicators and how AML fits into financial institutions’ compliance universe. 
  • The role of technology as an enabler in AML. 
  • The challenges presented by rapid-scale digitization

REGULATION AND COMPLIANCE

This course covers:

  • Financial reporting fundamentals IFRS, fundamental principles, and revenue recognition 1, 7, 12, 16, 17, 24, 36, 38, and 39 
  • International accounting standards 
  • An overview of US GAAP

Imarticus Learning is a technology-driven training institute with extensive experience in altering professions in finance, analytics and artificial intelligence, business analysis, and core technology. Our tax planning training courses have been curated keeping in mind your professional growth opportunities. These programs will help you reach the pinnacle of your aspired career. We have centers in many cities around the country, including Mumbai, Pune, Chennai, Bengaluru, Delhi, Gurugram. You can also connect with us over chat support.

The Cryptocurrency Trading Bible In 2022

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The Cryptocurrency Trading Bible In 2022

Conventional currencies are the US Dollar, Indian Rupees, British Pound, Euro, etc. Cryptocurrencies are digital currencies, i.e., they are held in digital form on the internet. They are also known as virtual currencies or cryptos and have multifarious uses, including payments for other goods and services. 

Ordinary currencies are traded against each other in the foreign exchange market, while cryptocurrencies are traded against other specific cryptocurrencies. Such trading is carried out on specialized platforms known as cryptocurrency exchanges. 

Unlike conventional currencies, the supply of which is controlled by the Central Banks of the respective countries, the supply of cryptocurrencies is not controlled. There is an online public ledger called the blockchain, and the cryptocurrencies are controlled by complex cryptography. This can be viewed on request. There are no internal or external administrators for cryptocurrencies or their exchanges. Some central banks recognize it, but there is limited acceptance among others.

Starting with Bitcoin in 2009, there are now more than 13,000 cryptocurrencies. Ethereum, Tether, Binance, Polkadot, Stellar, and USD Coin are a few.

Few important aspects of cryptocurrency

  • 24 hours trading: Unlike conventional currencies, cryptocurrency trading transcends national borders and is available 24 hours.
  • High level of volatility: The volatility of price fluctuations seen in cryptocurrencies is unprecedented. In this respect, they are somewhat like conventional currencies, except central banks do not intervene to stabilize them. There is a high potential for loss, and cryptocurrency trading is risky.
  • Privacy and anonymity: On some decentralized cryptocurrency exchanges, private details and KYC are not required to be submitted.
  • Similarities with equity markets: All derivative instruments associated with equity markets, such as futures and options, have already been ported to cryptocurrency markets.
  • Easy account opening: It takes only minutes to open an account.

Main cryptocurrency trends to watch out for in 2022

  • Bitcoins and other cryptocurrencies are mined by high-powered computers which solve complex mathematical puzzles which guzzle energy. According to the University of Cambridge, these computers account for 0.5% of the total global energy consumption. Bans may be imposed due to the environmental decline caused by this huge volume of energy consumption.
  • Central banks’ conventional currencies go digital. As digital payments become the norm, the CBDCs (Central Bank Digital currencies) have become the norm. Russia, Chile, Japan, and Sweden have already started tests and trials. Widespread use in online transactions of CBDCs could undercut the cryptocurrency demand.
  • On the opposite end of the spectrum, certain countries might adopt cryptocurrencies as legal tenders like El Salvador.
  • With central banks rolling back quantitative easing and launching interest rate increases, the volatility in crypto-denominated assets has reached unprecedented levels. Like all products and commodities, cryptocurrency prices are driven by demand and supply. A medium-term bearish trend seems to be in place for cryptocurrencies.
  • A First Bitcoin denominated spot Exchange-traded Fund is likely to be established.
  • Emphasis on Defi: Defi refers to umbrella financial services on peer-to-peer blockchains, primarily Ethereum. As Bitcoin value sharply depreciates, Defi systems could become a key growth area. Their total value as of the end of 2021 has already exceeded USD 200 billion.
  • Regulatory changes could have a large impact on the cryptocurrency markets in 2022 as countries like China and US either completely bank or crackdown on certain market aspects. They could be declared illegal and not securities. The amount of collateral and leverage in cryptocurrencies is in question.
  • Cryptos are increasingly used in gambling. The guaranteed anonymity, low transaction costs, and enhanced security make it a very attractive asset to be used in casinos. There is a streamlined account verification process and no delay in third-party transaction approval. However, regulatory changes could have an impact on these.
  • New generations of black chain solutions are likely to emerge, which will increase speed and scalability. The fourth generation of blockchain technologies is expected to resolve trust challenges and accelerate the operation of business networks.
  • There is likely to be increased standardization and interoperability due to cross-chain technologies. This will help transmit value and data across blockchain networks.
  • There will be increased demand for blockchain as a service. Cloud-based platforms are already creating apps and blockchain function vendor infrastructure. Amazon and Microsoft have already started this process.
  • The demand for cryptocurrency professionals is likely to increase. Professionals with cross-sector skills, experience with crypto, and immersive live casino skills are likely to be headhunted.

Cryptocurrency is a growing and evolving sector despite all the risks inherent in its trading. This is also a field where there is a paucity of experienced professionals. Doing a course in cryptocurrency or financial technology and gaining practical experience is likely to create bright career prospects.

Check out The Professional Certification In FinTech at Imarticus. Contact us through chat support, or drive to our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

4 Unconventional Ways To Learn Investment Banking Courses The Right Way

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4 Unconventional Ways To Learn Investment Banking Courses The Right Way

Are you looking for a more unconventional way to learn investment banking courses? If so, you’re in luck! This blog post will share four ways to learn investment banking courses correctly. So, whether you’re a beginner or an experienced investor, you’re sure to find something useful here.

What do Investment Banking Courses entail?

Investment banking courses include managing and expanding financial assets and how experts may assist businesses, organizations, and clients. Graduates of investment banking programs assist businesses in making wise choices when investing their assets to raise the value of their holdings. Relationship Associate, Investment Associate, and equity analyst positions are the top positions for investment bankers. 

Here are four unconventional ways to get the education you need.

  1. Enroll in the best education institute

One of the best ways to learn investment banking courses is to attend the best education institute. Many of these institutes offer specialized courses in investment banking and financial modeling. Additionally, you’ll get access to world-class professors and networking opportunities with industry professionals.

Attending the best institute can be expensive, but it’s a significant investment in your future. Not only will you learn about investment banking, but you’ll also gain essential skills in business, finance, and leadership.

  1. 2. Join an Investment Banking Forum

Investment banking forums are a great way to learn about the industry and connect with experts. It is an online discussion where young people and even experienced experts discuss their queries and receive solutions to their issues from other creative people.  The best thing is that it is simple and completely free.

  1. Watch YouTube Videos

YouTube is an excellent resource for learning about investment banking and financial modeling. There are dozens of videos on these topics, most of which are easy to understand.

You can watch videos on investment banking courses, financial modeling, and other topics related to the industry. This is a great way to learn about the industry and improve your skills.

  1. Read Books

There are several books on investment banking and financial modeling. These books offer in-depth information on these topics and can help you improve your skills. Reading these books can help you learn about the industry and improve your skills.

Learn investment banking courses with Imarticus Learning

The Certified Investment Banking Operations Professional program will give students a good start on their investment banking careers. Students will be well-prepared for success in banking operations, treasury, and clearing services at all production levels thanks to this 180-hour program.

 Course Benefits for Learners:

  • Students will learn how to manage complex securities and derivative products, their trade-life cycles, and the roles involved in investment banking operations.
  • With over 8,000 placements completed and a pay increase rate of 60%, students may get the support they need to start their investment banking careers.
  • After finishing the investment banking certification courses and related assignments, students will get an industry-recognized certificate.

AI certification in India: Landscape and learnings from 2021

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AI certification in India: Landscape and learnings from 2021

With the rapid use of artificial intelligence (AI) in the business and learning sector, it has become a hot topic in recent years. Notably, AI is projected to witness more growth in upcoming years as the pandemic has accelerated its use.

For instance, AR/VR apps, online education, and the use of technology in business and startups are all trending. So, this might be an ideal time for individuals looking to get into data science with a machine learning or an artificial intelligence course. These study programmes are beneficial as they provide skills and knowledge to pursue a professional career in AI and machine learning. 

The landscape of Artificial Intelligence

AI tools are becoming more and more common in workplaces, but these are often poorly understood. To get the most sense out of it, individuals can learn machine learning from leading institutes to help them clear these concepts comprehensively. Harvard Business Review reports that 800 different AI systems fall under four categories that are used across 14 various industries. But, based on technology readiness in 2022, few domains are used widely across multiple sectors. A few of these are deep learning, neural networks, chatbots, natural language processing, etc. 

AI Learnings from 2021

2021 has been a year of massive upliftment in AI, machine learning, and data science. The large-scale adoption of technology in numerous fields has boosted the sector. According to World Economic Forum, 97 million new job roles might emerge by 2025 that are more adapted new sectors of labour made due to the amalgamation of algorithms, machines, and humans. Nevertheless, a few of the top trends of AI in 2022 are: 

  • Multi-modal learning 

With time, AI is getting better at understanding human needs. With the support of modalities within a single machine learning model like speech, vision, text, and IoT sensor data, AI is getting better with each passing day. A machine learning course will be a great asset to get an idea about these as the curriculum is aligned with modern-day industry requirements to sustain in this field. 

  • Rising Demand for Data Security 

Data is currently one of the most valuable resources of most organizations. Moreover, since the advent of the pandemic, most jobs have been executed online, creating a considerable dependency on data. Thus, data security is one of the prime objectives of enterprises to maintain security and confidentiality within an organization. Hence, it is essential to note that this emphasis on the security of sensitive and personal data will increase with time and similarly dependency on machine learning and AI. 

  • Augmented Intelligence 

To increase the productivity of a venture, the dependency on augmented intelligence has already shown a positive trend. This shift in job roles is likely to refresh the workload and can bring out the highest-level productivity with a coupled use of humans and machines. According to Gartner, by 2023, 40% of large enterprises will use AI-augmented automation for higher productivity. 

Thus, it is evident that 2021 has opened quite a few provinces for artificial intelligence and machine learning. However, the use of AI is divided depending on rote tasks, simple tasks that require ethical decision making, creative tasks with limited ethical components, and tasks with both creative and ethical components.

Also, individuals must learn that incorporating AI within a business will become more complex. This is because the volume of data will increase and the data processing will grow complex in nature.

AI for decision-making: Self-driving cars and the future of artificial intelligence certification

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AI for decision-making: Self-driving cars and the future of artificial intelligence certification

The development of self-driving cars needs decision-making models that can cope with urban junctions that are both dynamic and complicated. For autonomous cars to function well, it is critical to precisely identify other vehicles’ paths and simultaneously consider effectiveness and security while interacting with each other.

A self-driving car relies heavily on its vision to detect impediments, read traffic signs, interpret traffic signal status and eventually make an appropriate choice based on what it observes using the principles of artificial intelligence and machine learning. This is a crucial and powerful feature of the vehicle. Read on…

How does a self-driving car perceive information?

A self-driving car must be able to see and identify objects in its environment. This ability to sense the environment around them is a critical property for self-driving automobiles. In order to make this happen, a self-driving car consists of three types of sensors:

  • Cameras: They must have high resolution and adequately portray the surroundings. To ensure that the automobile gets visual data from all directions, cameras must work concurrently to provide a 360-degree image of the surrounding area.
  • LiDAR System: It stands for Light Detection and Ranging, a technique of measuring distances by shooting a laser and then observing the amount of time it takes for it to be reflected back by an object. A three-dimensional picture is created when an LiDAR sensor is used in conjunction with cameras. The automobile can now visualize its surrounding in three dimensions.
  • RADAR System: RADAR is an acronym for radio detection and ranging. Camera sensors are augmented with radar detectors during cases of poor visibility. When an object is detected, radio waves are used to relay back information about the object’s speed and position.

Decision-making in self-driving cars

In self-driving cars, the ability to make quick decisions is critical. In an unpredictable situation, they need a system that is both dynamic and accurate. Sensor readings are not always accurate and drivers often make erratic decisions while being behind the wheel. There is no way to directly quantify these things. 

Deep reinforcement learning (DRL) is employed by self-driving cars for decision-making. Notably, deep reinforcement learning is based on a decision-making mechanism known as Markov Decision Process (MDP). In most cases, a Markov Decision Process is utilized to make predictions about how other drivers will act in the near future.

The automobile must first make the decision to design a route. In order to reach its destination, the automobile has to design the most efficient path from where it is now present. All other options are compared to identify the best one.

After the route has been set, the car has to figure out how to go there on its own. Fixed features like highways, junctions, and typical traffic are known to the automobile, but it is unable to predict precisely what other road users will be doing. Probabilistic forecasting techniques like MDPs are used to address this unpredictability in the behaviour of other road users.

After the behavior layer settles on a path, the system responsible for managing the motion of the car takes control of the car’s movement. This includes the vehicle’s speed, lane-changing, and more, all of which must be tailored to the environment in which the vehicle is operating.

Conclusion

The goal of self-driving automobiles is to improve the safety and efficiency of road traffic. Despite the fact that it shows promise, much work remains. Learn more about self-driving cars and their working with Imarticus’ machine learning course and get your AI certification. Do not hesitate, hurry and apply now. 

Turn Visibility Into A Value With An IIT Supply Chain Management Certification

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Turn Visibility Into A Value With An IIT Supply Chain Management Certification

Supply Chain Management (SCM) manages the flow of products and services and related operations to transform inputs into outputs and satisfy customer expectations efficiently in a cost-effective manner. As a result, it adds value to corporate processes, making the work of SCM specialists crucial for organizational success. 

If you want to comprehend how firms manage their material and product flow across international boundaries, you will need to upskill if you wish to further your career in Supply Chain Industry. The Certificate Programme in Supply Chain Management will help you flourish your career.

An overview of supply chain management course

An SC (Supply Chain) is a network of supplier, manufacturing, assembly, distribution, and logistics facilities that execute the activities of material acquisition, material transformation into intermediate and final goods, and product delivery to clients. Manufacturing and service firms both have supply networks. 

SUPPLY CHAIN MANAGEMENT (SCM) is a systems-based strategy for managing the flow of information, products, and services from raw material suppliers to the end consumer via factories and warehouses. SCM differs from SUPPLY MANAGEMENT in that it focuses solely on the buyer-supplier relationship.

Students get introduced to numerous positions in the supply chain management business, including:

  • Services for Logistics, Planning, and Supply Chain Management
  • Production and Manufacturing
  • Order Management and Procurement Planning
  • Inventory Management
  • Operations of Warehousing and Distribution Centers
  • Transportation Management

Few Reasons to Become a Supply Chain Certified Professional

IMPROVE YOUR CURRENT AND RELEVANT SKILLS AND KNOWLEDGE. This course gives students a modern perspective on supply chain management by regularly updating course content. They collaborate with specialists worldwide to guarantee that the ideas they teach are still relevant in the supply chain sphere today.

EARNINGS POTENTIAL IS HIGHER. According to ASCM, CSCP designees get a pay boost of 21% on average. Not only that, but ASCM Certified people earn 18% more than those with other organizations’ supply chain credentials.

ESTABLISH A NETWORK OF SUPPLY CHAIN PROFESSIONALS. Throughout the course, you will engage with an instructor and peers who will be tremendous assets to you (and vice versa) as you advance your career. There are also 45,000 ASCM members worldwide, so you may continue to network in a global community long after completing your certification course.

Discover a Professional supply chain management career  with Imarticus Learning

The online supply chain management course provides cutting-edge information to those interested in taking the operations or supply chain analytics course. Students who enroll in this online supply chain management program will learn about Demand Planner and Data Scientist job titles.

Course Benefits For Learners:

  • We immerse students in relevant technologies and projects, such as six real-world projects that will give them a solid understanding of the sector to prepare them for a successful future as certified Supply Chain analysts.
  • Students who finish a professional certification in supply chain management can prepare for highly sought-after professions such as Demand Planner or Data Scientist, which are in high demand among businesses today!
  • Students will learn to become data-centric and improve Supply Chain decision-making by utilizing the Python programming language.
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