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Category: Management

What is the role of a supply chain analyst in managing uncertainties in a supply chain?

Posted on by Imarticus Learning

A supply chain involves a network that connects a firm and its suppliers in order to manufacture and deliver a certain product to the end-user. This network consists of many activities, individuals, entities, information, and resources. The supply chain also symbolizes the stages necessary in getting a product or service from its initial state to the consumer. A supply chain management career has become a dream for many young students.

supply chain management coursesA supply chain analyst plays a critical role in the design and execution of large-scale initiatives. A supply chain analyst gathers and processes data in order to improve the supply chain system. He/she works to improve employee performance and reduce the expenses of project-related commodities.

A certified supply chain analyst is the point of connection for many significant purchases made outside the firm for projects. He/she conducts market research and negotiates with corporate representatives to guarantee that the parent company receives the greatest price available. He/she is aware of the inventory on hand and proactively manages what is being used to assist other team members by ensuring they have the necessary tools.

What is the job of a certified supply chain analyst?

  • Create and develop techniques for gathering and managing supply chain data
  • To improve business revenue, research potential partners and seek out best-price contracts
  • Maintain a professional and friendly connection with contractors while supporting corporate aims and values
  • Contribute to the enhancement of a positive image and cross relationships with business partners and suppliers
  • Examine and evaluate collected data to identify problem areas in the supply chain process and devise ways to enhance it

How does an analyst manage uncertainties?

  1. Mitigating risk will look extremely different based on a variety of supply chain-related elements. Look for specific weaknesses in the supply chain, such as sole-source vendors or centralized inventory. New software and other technology tools are now available to assist you in determining the origins of your risk.
  2. In some circumstances, the consequences of an unforeseeable global calamity can be exacerbated because businesses have focused too long and too hard on cost-cutting measures and efficiencies. However, the same tactics that can make a supply chain run more efficiently and cost-effectively, such as sole-source suppliers, can also lead to longer, larger, and more significant interruptions. Balance your need for protection against unpredictability with your desire for improved efficiency.
  3. A supply chain analyst creates a list of what-if scenarios that he/she can guide the team through in a simulated supply chain disruption crisis. These tests are critical dry runs of situations that are very likely to occur in the future, and they can provide invaluable insights into how much crisis management work they should focus on.
  4. Although it is critical to have particular procedures in place in case of large-scale supply chain disruptions, it is also critical for supply chain managers to consider risk and uncertainty when making all decisions. Considering the effects of changes on risk management is critical to protecting against disproportionate losses caused by uncertainty, especially when deploying new technology, working on supplier development, or boosting overall efficiency.

Conclusion:

Companies are putting supply-chain risk management back on the menu in a more uncertain environment. Cybersecurity threats are becoming more destructive. A proactive approach paired with a strong risk-management culture will be a game-changer for businesses, assisting them in avoiding and managing future supply chain breakdowns.

For students wondering what to do after graduation, a supply chain management career might be the right start. A supply chain management online course will help you get closer to your dream career. There are great supply chain management online courses that you must check out!

supply chain management courses

What are the Job Roles of an AI and ML Specialist?

Posted on by Imarticus Learning

In today’s data-driven world, the highest demanding and relevant jobs have got to be that of an AI and ML specialist. Most major industries now rely heavily on artificial intelligence and machine learning to optimize their business better.

It helps them to detect the clients’ needs and cater to them accordingly. It even helps them to look after their employees’ well-being, which in turn makes them more productive and loyal to the company. This is possibly the best time to do an AI and machine learning course if you are worried about your future.

artificial intelligence and machine learning coursesThis is one job that will never go out of positions as most sectors these days need an AI and ML unit in their teams. If you are confused about which institute would be better for your career, then you do not need to look very far. Like always, Imarticus Learning has come through with one of the best AI and ML certificate courses that will immediately give you that extra edge over others.

However, the question remains about what having these jobs entails? Here, we have tried to give accurate job descriptions for artificial intelligence and machine learning specialists in detail. Please, read through it to learn more about it.

Artificial Intelligence Specialist

There are a variety of aspects to an AI specialist’s job. However, all of these meet at a certain point. That is, they develop computer software to comprehend different situations through hypotheses. They test these hypotheses by comparing them to the workings of the human mind. All of these are done through cognitive stimulation.

They also use this to enhance the opportunities and suggestions provided by and inside of a variety of different industries. This is versatile enough to be applicable in any major industry that deals with clients. The job roles of an AI specialist can be any, but not limited to, the ones following:

  • Software analyst: Using AI to debug or check the performance of software
  • Data security engineer: Safeguarding a company’s intra network and internetwork as well as data governance and data integrity
  • Research scientist: Extracting, designing, analyzing, and comprehensively preparing data using AI predictive analysis and another forecasting
  • AI developer: Develops AI systems and integrates existing software with AI systems
  • IoT engineer: Developing IoT-based devices and integrating AI software and processes in them
  • Cloud specialist: Empowering data with cloud systems

 Machine Learning Specialist

This is a profession dedicated to developing algorithms that can adapt to or learn from the available data to make helpful suggestions and predictions. Some of the job roles are:

  • Machine learning engineer: Involved in sourcing data, creating the machine learning model, and implementing it
  • Machine learning architect: Setting up, integrating, and maintaining machine learning components according to the requirement
  • Data engineer (data modeling specialist): Involved in data modeling and ensuring data can be used for machine learning
  • Machine learning developer: Involved in programming and setting up machine learning systems like forecasting and predictive modeling
  • Automation engineer: Automating processes using ML
  • Deep learning engineers: They work with complex datasets to power up neural networks using deep learning and ML
  • Artificial neural network specialist: Creating neural networks and ensuring that the system has the ability to make decisions mimicking human beings.AI and ML courses

There are many benefits to an AI and machine learning specialist’s job. The major ones being, you will never go out of a job. This is also a high-paying job, so you will never have to think about the salary input being less than your performance output. So, do check out Imarticus Learning’s AI and ML certificate course to give your career the necessary boost.

AI and ML courses

Use of Data Analytics in Improving Working Capital Management

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What is working capital management?

Working capital is an organization’s utilization of money to cover its daily needs, such as paying for raw materials, supplies, and salaries. The term can also be applied to individuals. Working Capital Management is defined as “managing cash flow so that it fulfills all the business needs”.

For example, if you have $10 in your wallet but need $100 worth of groceries today, your working capital would be negative $90. Working capital management takes care of the flow of funds within the organization. It ensures that funds are available to meet short-term obligations without having to borrow or sell assets. It’s essential for all businesses because it affects the growth and the profits of the company.

Without sufficient working capital, companies will fail before utilizing their full potential. Working capital management is a critical function for every company. Whether you are operating in the manufacturing or service industry, managing your working capital will impact your ability to grow and succeed.

How does it help the organizations?

Data analytics can help organizations measure how much money they need for their working capital based on their current situation. This way, they can improve their working capital management by minimizing risks such as overinvesting or underinvesting in one area while neglecting others.

There is a need for both MSMEs and large manufacturers to remotely manage their supply chain, cash flows, etc. This has led to a rapid and massive shift away from manual processes. This is where automation comes into play – Accounts Receivable Automation (ARA) was developed as an alternative solution by many companies who needed more control in this area of their business while still managing all aspects with less workforce. These systems allow businesses to deal directly with suppliers and it drastically cuts down processing between payments and delivery.

Application in the real world

In the past few years, the use of Data Analytics has been steadily increasing as a way for organizations to understand their customers better and identify trends.

In today’s world, data analytics is indispensable as it facilitates the efficient working of an organization. The proper recording and analysis of every activity related to the manufacturing cycle of the products help in having visibility of the processes.

Data Science Course

One particular area where Data Analytics can be applied is in examining customer payment patterns, such as when customers pay or don’t pay on time. For example, one company found that because of the customers who paid late, they were losing roughly about $21 million annually due to delayed payments from other clients. It also examined the reasons as to why people pay late. They came up with several insights like cash crunch during month-ends, etc. that stopped them from making these payments.

Using a company’s balance sheet and cash flow statement, a financial analyst can determine when the business has excess funds and also the times when they need more money. This analysis can then be used to establish an appropriate financing strategy that balances the company’s needs with its ability to repay the debt over time. Data Analytics makes the entire process smoother and better.

Conclusion

To maintain change, it is imperative to differentiate between noise and signal. This is done by developing measurable, granular  KPIs that are monitored strictly. Carefully analyzing historical data can provide valuable insights into managing networking capital by quickly finding and dealing with emerging issues.

Contact us today if you want to be well equipped when it comes to dealing with such situations. With a digital analytics course, implementing these tactics in your business becomes easier.

With a data science course, you become aware of the techniques that go into it. The course comes along with a placement opportunity so that you’re all set to apply your business analytics knowledge in managing operations.

What is the Difference Between a Business Analyst and Business Intelligence?

Posted on by Imarticus Learning

When the business analysis markets are expected to hit the 20 billion mark and considering that business analytics actually makes the business five times faster, better informed and effective, it gets a little confusing when people mix up the terms “BA-Business Analytics” and “BI- Business Intelligence” and use them interchangeably when the two areas are really different.

Let us explore how we can define the two areas and what their differences really are.

A Brief Definition:

By definition BA means the technology and approach behind the data analysis where one can establish trends and gainfully cull insights into business data with the ultimate goal of boosting the planning, efficiency and productivity of a business’s future goals and performance.

It is a Why- approach to business needs. The Business Analyst depends on the use of the predictive models, specific data sets and statistical analysis to justify why a business decision needs to be taken based on predictive analysis of future performance parameters.

BI refers to the analysis of the same business data on a wider scale and with large volumes of unstructured data and focuses on the how and what- approach to business needs involving what and how you can use and mine raw data, the tools required for OLAP, querying, data management and reporting etc, to align and draw out the business performance goals and stimulators based on both prescriptive and predictive analysis.

You can learn all of these by doing a Business analyst course.

The Differences Table:

Here are some of the key differences explained below.

1. BI reports analyzed data as against BA which uses technology and tools to perform data operations.

2. BI uses current, past and historical data in comparison to BA where past data is used to gain foresight or extract insights. Both have the same goal of increasing productivity, efficiency and use data to achieve business results.

3. BI is the method or process whereas BA comprises of inputs from BI to arrive at the visualized and extracted information.

4. BI provides insights drawn from the data in use while BA is the process of working on the data and arriving at solutions for the use of Big Data in use.

5. BI appears to be a part of BA which effectively uses information management, data warehousing, business applications, security measures, and risk mitigation.

6. BI uses a combination of predictive and statistical analysis and modelling in comparison to BA which works on huge data volumes to analyze, retrieve, publish and make reports on it.

7. BI uses sets of structured data drawn from applications like the ERP or financial software applications while BA cleans and works with unstructured data while transforming the data into valuable meaningful data for BI.

8. BI normally is restricted to dashboards with a user-interface in comparison to BA which relies on a vast armoury of tools and software applications.

9. BI uses the same format and a sub-set of data for insights while BA works on the raw data to transform it into various databases to draw out trends and foresight.

10. BI roles like executives, analysts, and managers use pivot tables, reports and the dashboards while BA analysts use past BI reports and capacities to help get tasks done with the required BA information.

11. BI is about Big Data access and control over data while BA focuses on handling the data

12. BI focuses on effectively running the business process while BA brings transformational changes to make the enterprise’s processes more effective and productive.

13. BI is a subject in the field of the ever-popular BA.

14. BI uses tools like for analysis in real-time, data-reporting, Mapping Analysis, OLAP and Dash-boards in comparison to BA tools like requirement and use-case, user stories, data, SWOT analysis, predictive modelling and such.

Conclusion:
Let us now elucidate on the table to sum up our differences. No, Business Analytics and Business Intelligence are different and should never be used interchangeably. The field of BA is vast and with growing data and the need for BI is increasing and encompassing all processes and all fields.

To be a good Business Analyst one needs to learn business analytics too and it goes without saying that to be a good BA analyst BI is essential. The debate ends when the needs and end goals are met through doing a Business analyst course. So, here’s to analyzing, using and predicting insights well using both BA and BI. All the best!

How Machine Learning Systems Can Streamline Healthcare Disbursement Setups?

Posted on by Imarticus Learning

The ripple effects of the COVID19 pandemic have been felt across industries at several levels. The healthcare industry wasn’t spared either, with essential healthcare workers moving to the frontlines to deal with the emergency. As a result, many organizations saw their back-end operations, such as appointment bookings and disbursement trackers, floundering.

However, there is a silver lining in this situation– it’s that technology has speedily been integrated into systems. Telehealth software has seen a surge in demand so as to prevent risks of exposure; healthcare disbursements are next on the list to be made easier.

Healthcare disbursements are traditionally tricky and convoluted processes; the pandemic has put further amounts of strain on the system and caused frustration, delays, and errors. However, machine learning in healthcare is a step forward in fixing disbursement delays.

Here’s how:

  • Moving from Checks to Digital Disbursements

A majority of disbursement systems around the world rely heavily on cheques and other outdated methods. However, this has become a point of friction at this time considering courier services have shut down and deliveries are very delayed. In such a scenario, the use of digital reimbursement options, bolstered by machine learning, is tempting.

Providers can facilitate faster payouts through DTC (direct-to-consumer) payments. By shifting the process online, providers will also be able to keep track of all patient and consumer data on one server. Machine learning can be used to pull up the relevant information, create automated disbursement setups, and ensure the consumer receives their disbursement digitally. The reduced reliance on paper payment processes will lessen the load on healthcare finance systems as well as get disbursements out to the right people in a flash.

  • Addressing Glitches in Systems

Several reports talk of misplaced cheques, incorrect deposit information, and several such kinks in telehealth and digital healthcare solutions being used today. Machine learning can be leveraged to iron out these kinks because, especially during a healthcare crisis, such errors can have a snowball effect on consumers and providers alike.

Providers who use machine learning systems to manage delays will be able to maintain strict records of past and future payouts. The system can be trained to collect the right deposit information as well as cross-verify with other records if required. The reliance on an automated system, in this case, equals to a lesser reliance on outdated methods of payout tracking.

  • Simplify User Experience

Claiming payouts and processing them can become a nightmarish experience for both patients and healthcare providers alike. Machine learning systems effectively reduce quite a number of manual steps which, in turn, saves time, money, and efforts. Machine learning can be leveraged to extract critical information from healthcare contracts, estimate how much is owed, and prepare the right documentation in time for a payout.

For patients, too, the process of claiming payouts become simpler. They will no longer have to fill out a myriad of forms and move from office to counter over days. Instead, by automating certain processes from the providers’ ends, patients can be called in only to verify details if necessary and to provide any other physical documentation the healthcare provider may need.

Conclusion

The healthcare industry will most likely see a surge in the adoption of machine learning and artificial intelligence. This will be across the board– from handling disbursements to automating admissions and discharges. Therefore, students who are interested in pursuing an artificial intelligence career would do well to explore this niche and develop the right skillset for it.

You can do this by enrolling in a machine learning course that focuses on the healthcare system, or take on related projects that could leverage your portfolio when it comes to it. The current strains on healthcare providers worldwide have exposed significant cracks in the system that machine learning could most likely fix.

Which Is the Best Artificial Intelligence Course of 2021?

Posted on by Imarticus Learning

In today’s technological era, machines are everyday partners of humans. Artificial Intelligence (AI) has a crucial role in determining the intelligence of machines.

In 2021, many businesses and public services rely on AI for day-to-day operations. College graduates and young enthusiasts are learning AI to build a successful career. There are many AI courses in the market and, it can get difficult to choose one. Read on to know the best AI course of 2021 and why one should learn AI.

Why learn artificial intelligence?

 The reasons one should look for an artificial intelligence course are as follows:

  • Many organizations and businesses are adopting an AI strategy. The rise of automation in the industry processes has fuelled the demand for AI experts. By opting for an artificial intelligence course, you can future-proof your career.
  • Since AI is a new-age technology, there is a shortage of expert individuals in the industry. An AI professional earns a handsome salary and will always be in demand.
  • Gone are the days when AI was only used by robotics and the space industry. Nowadays, AI has become a versatile technology that is used by numerous industries. Some popular sectors that use AI are healthcare, logistics, finance, banking, and legal sectors. You will open multiple future career prospects for yourself by learning AI.

Why go for online training?

Educational institutions usually do not provide certification courses to students. They offer a complete degree program in which AI is just one of many subjects. If you are willing to only study AI, you would have to go through the whole degree program. It is where online training is a boom for AI enthusiasts.

Also, the recent pandemic (COVID-19) led to the suspension of classroom lectures. Online training has helped AI students during the pandemic period. Working professionals can also commit to an online program easily while continuing their job. However, you need to choose industry-oriented AI ML courses that make you job-ready. Imarticus Learning is a reputed EdTech platform that offers AI ML courses with an industry-oriented curriculum.

 Why choose the AI/ML course of Imarticus Learning?

Imarticus provides a Certification in Artificial Intelligence & Machine Learning that is 9-month long. In association with IIT Guwahati, this AI/ML course is a blessing for AI enthusiasts amidst the pandemic. Besides this certification program, Imarticus offers many other artificial intelligence and machine learning courses like PG Program in Data Analytics & ML. The reasons one should choose the certification program in AI/ML from Imarticus are as follows:
artificial intelligence and machine learning courses

  • This course is offered in association with one of the most premier institutes in India i.e., IIT Guwahati. You will get to learn from academic professors and industry experts.
  • Imarticus strictly follows an industry-oriented curriculum that makes you learn job-relevant skills for the AI/ML industry. During the certification course, you will work on 25 real-life industry projects that will make you job-ready.
  • Some of the top languages and tools covered in this certification course are NumPy, TensorFlow, OpenCV, Spyder, Pandas, and Jupyterhub.
  • Imarticus also offers career services at the end of the certification course. Professionals trained by Imarticus in the past work in some of the top organizations of the globe like Accenture, Standard Chartered, Oracle, Deloitte, KPMG, Infosys, and Tata.
  • This course will also offer a 3-day campus immersion program where you can interact with the peers and faculty members of IIT Guwahati.

In a nutshell

Imarticus provides some of the best artificial intelligence and machine learning courses in India at affordable rates. You can also get a scholarship of up to 40% for the certification course in AI/ML offered by Imarticus. Start your online artificial intelligence course now!

Why is a Supply Chain Certification Lucrative in the next 10 years?

Posted on by Imarticus Learning

Supply Chain Management (SCM) oversees the manufacturing of a product from its origin until it reaches the consumer. Although it may sound simple, it involves several processes and thus requires a set of skilled professionals to ensure its smooth functioning. It is such an essential job profile that people are rushing to find an ideal Supply Chain Management course to become qualified.

Not only is it popular these days, but its prospects also don’t seem to dim in the next 10 years. Could these be the reasons why the supply chain management career is going to be lucrative in the near future as well? Let’s find out!

It offers diverse job opportunities

The SCM career options are so vast that it is difficult to find which one would be the best. These days, every product in the market would have undergone countless planning processes, material procurement, assembly, production, inventory management, and many more steps. Each of these areas comes under the SCM and will need professionals with special skills. It also involves almost every industry in one way or the other, so the diversity of job opportunities is numerous.

Ideal for skill development

supply chain management courses

Skill development is trendy these days. A supply chain management career opens up the opportunity to brush up on several skills. These skills include management, interpersonal skills, communication, teamwork, networking, etc. They apply to all industries, so it is a great way of formulating a wonderful portfolio of both professional and personal skills. Sometimes it can be more productive in skill development than the leading supply chain management certificate course online.

Suitable for all

This is a wonderful career without the hassles of a corporate ladder where everyone is pressured to reach the top. A career here will let you enjoy success and give satisfaction with the prosperity of the company as well. There are opportunities for both management and executive roles and you can still reach the top positions.

Compatible with the technologies

A supply chain is a global industry that is now involved with the latest technologies as well. AI, predictive analysis, automatic cars, drones, etc., all can combine with the supply chain to make each industry successful. This will force people to be more adept at analytical and management skills with an awareness of the overall end-to-end happenings in this field.

Finding the best Supply Chain Management Course

There are plenty of supply chain management certification courses available online. But what makes the Professional Certification In Supply Chain Management & Analytics course in collaboration with the IIT Roorkee different is its hands-on learning process dealing with real-life SCM projects.

supply chain management courses Other than being a top course endorsed by an IIT, this allows the aspirants to become better at decision making. It also permits an in-campus interaction with other students and faculty.

By solving real-life industry problems, it helps in creating a personalized portfolio to impress companies. On top of that, the analytics help in combining the SCM with data and generate a few techniques to make data-centric decisions.

The best course should have a sparkling curriculum that has every step involved in the management from designing to the sales operation. The course could last anywhere from a few weeks to one year. The salary prospects after the completion of the course could be in the range of 3.5-20 LPA, depending upon the qualification, skills, and experience.

Conclusion

People often have different interests in their career and SCM is a fantastic option that can open up opportunities in almost every field. They can have a different career but could still be within the supply chain.

Why is IIT Supply Chain Management Program the Best?

Posted on by Imarticus Learning

The supply chain encompasses all of the actions, people, organizations, information, and resources required to transport a product from conception to client. In the consumer goods industry, this is likely to include raw materials, production, packaging, shipping, warehousing, delivery, and retailing. The end goal is straightforward: fulfill the customer’s desire.

Further, a supply chain management course is the process of combining supply and managing demand not only within the firm but also across all of the supply chain’s innumerable units and channels so that they function together quickly and productively.

Supply chain management is critical for any firm since it can introduce various benefits. But, inadequate supply chain management can result in very expensive delays, quality concerns, or reputation issues. Poor supply chain management can also lead to legal concerns in some circumstances if vendors or processes are not compliant.

Technology advancements have opened enormous possibilities for supply chain management, allowing supply chain managers to collaborate intimately and in real-time with supply chain participants.

A certified supply chain analyst has a very important role in every industry that involves the supply chain. A supply chain management career can guarantee you a high-salary job in various sectors. The IIT Supply Chain Program is the best and comes with some exclusive benefits.

This 6-month supply chain management online course has been specially prepared by IIT faculty and industry professionals to assist you in learning. With the ever-increasing trend of e-commerce, the number of products in transit has also increased. The number of supply chain management employees has increased disproportionately across industries. This training will prepare you to capitalize on this opportunity.

Why Pursue IIT Supply Chain Management Course?

The benefits of IIT certified supply chain analyst course are as follows:

  1. Discover supply chain management knowledge and much-required analytical skills with this program built by IIT Roorkee’s DoMS & E-Learning Centre. This course will assist you to become more data-centric and improve supply chain selection by using the strength of Python.
  2. This supply chain management online course will assist you to learn from one of India’s greatest faculties via live online sessions and conversations. IIT faculty workshops will help you construct essential concepts in SCM, while industry specialists will provide hands-on learning for SCM processes, tools, and strategies. This course will teach you how to construct a solid SCM foundation and use analytics through engaging live sessions with renowned trainers and industry professionals.
  3. Participate in a three-day campus immersion session to tour the IIT Roorkee campus. During the campus immersion, you will connect with your peers and learn from IIT academics. You will get the opportunity to go to the Delhi or Noida campus and work on the Capstone Project with the help of expert mentors.supply chain management courses
  4. Tackle tough real-world challenges that necessitate a full understanding of principles, mastery of skills, and comprehension of the business context. With these real-world SCM projects, you can boost your resume and stand out. You will be able to create your own project portfolio and dazzle potential employers. Through rigorous in-class exercises and SCM projects, industry experts teach you crucial job-relevant skills.
  5. Massive volumes of data are generated by supply chains – Big Data, to be more explicit. Prepare to participate in the creation of smarter, more strategic, and tactical global supply chains of the future by merging traditional supply chain methodologies with data-driven judgment.

It is very evident that the demand for a certified supply chain analyst is increasing by the day. In such a situation, certification can give your career the right boost and help you bag your dream job in your desired company. Enrolling in this course can be a game-changer for you!

How Is a Machine Learning Course Helping Secure Bright Careers?

Posted on by Imarticus Learning

Machine Learning (ML) is an emerging technology that has taken businesses by storm. Currently, more than 30% of businesses in India have already adopted machine learning technology or are planning to adopt it. Besides being termed as the ‘hottest job of the century’, ML job roles also offer lucrative salaries.

ML along with AI (Artificial Intelligence), plays a crucial role in data science operations. Young enthusiasts are looking for ML/AI courses that offer them industry-oriented learning. Read on to know how an ML course can aid in building a successful career.

Reasons to learn ML & AI

 The reasons one should look for an industry-oriented ML course are as follows:

  • The compound annual growth rate of the global ML market is more than 40%. Businesses are adopting ML/AI technologies on a large scale. There will be no shortage of ML job roles in the industry for the coming years. Also, the salaries of ML job roles in the industry are expected to increase in the coming years.
  • ML and AI are versatile technologies that are used by different sectors of the industry. ML/AI algorithms are also used for day-to-day operations in many public sectors. Sectors like healthcare, logistics, e-commerce, education, and retail use ML for their day-to-day operations.
  • Machine learning helps in building smart data analysis algorithms. You can gain meaningful insights from data analysis and understand your customers/clients better. Data analysis skills will also come in handy for making several real-life decisions.

Why go for online ML training?

Colleges in India usually do not provide a certification course in AI or ML. AI/ML is usually included in the traditional degree programs as a subject. You will have to go through the entire degree program to learn machine learning at a college. It is where online training allows you to learn machine learning without enrolling in a degree program. Also, the recent COVID pandemic made it difficult for young enthusiasts to attend classroom lectures.

artificial intelligence and machine learning coursesWorking professionals can commit to an online machine learning course depending upon their free hours. However, you will have to choose an effective machine learning course that makes you job-ready. Imarticus Learning is a reliable EdTech firm that offers industry-oriented machine learning and artificial intelligence course.

Why choose the ML course offered by Imarticus?

Imarticus Learning is a reputed EdTech platform that offers a Certification in Artificial Intelligence and Machine Learning in partnership with IIT Guwahati. This 9-months long certification program can help in preparing for numerous jobs like ML/AI engineer, data analyst, and data scientist. The reasons one should choose the AI/ML certification course are as follows:

  • ai and ml courses
    At the end of the course, you will receive a certificate endorsed by ITT Guwahati, one of the top educational institutions in India. The AI/ML certificate endorsed by IIT Guwahati will be globally recognizable. Also, you will get a 3-day campus immersion program with this course that allows you to interact with faculty members and peers of IIT Guwahati.
  • You will work on more than 100 assignments and 25 projects during the course. Real-life projects will aid in learning the ML industry practices.
  • Numerous AI/ML topics will be covered in this certification course. Some popular topics covered in this course are dimensionality reduction, unsupervised learning, deep learning, NLP, etc.
  • Towards the end of the machine learning and artificial intelligence course, you will compete in a hackathon to judge your AI/ML skills. You will also receive career support towards the end of the course from Imarticus.

In a nutshell

Imarticus has already placed many data scientists in some of the top organizations of the world. With their industry-oriented course curriculum, they will make you job-ready. Start your ML certification course now!

How Data Analytics is Reviving Up the Digital Economy

Posted on by Imarticus Learning

Today, data analytics is a booming industry. It has been estimated that the data analytics market will grow to $187 billion by 2025. These numbers are staggering and they just show how much potential this industry holds for those willing to take on it as a career.

Data analysts have an essential role in our digital economy because they dig out insights from raw data to help companies make better decisions. To succeed as a data analyst, one must be adept with programming languages such as Python, R, SAS, or SQL, among others, and know statistical analysis techniques.

Data analytics course is used to make decisions about important marketing campaigns, product development, and customer service. Data analysis techniques include descriptive statistics, inferential statistics, hypothesis testing, cluster analysis, exploratory data analysis (EDA), causal modeling, and regression modeling.

Use of Big Data and Analytics

The definition of “digital economy” has been blurred by its widespread use but in general, let’s understand what it means. The digital economy uses technology to create, capture, store, manage, transmit and exchange information. One example of this includes using a cell phone app to order food online.

Here, the companies have created an online interface for customers to easily find restaurants that deliver in their area and then order by clicking on what they want. This eliminates the need for human intervention because all orders are taken or placed through the device. This means that the entire process has become hassle-free.

Another most common example where big data is used is retail stores. They use it to analyze their customers’ shopping habits, so they know what products to put out on display during a particular time frame throughout the day. This helps them in maximizing profits while also making sure that every customer gets a personalized experience when they visit the store.

In the same way, most companies use big data to analyze and find patterns in the available data. They leverage this data to derive insights that offer a unique experience to their target group. Companies dig deeper into these insights to identify untapped business opportunities that they can explore. Companies can identify a niche and expand into that area to fill the need gap.

They also have many other options for growth, such as partnerships, joint ventures or acquisitions within their target industry verticals; these strategies allow them to survive and thrive in changing markets while often expanding business operations. While exploring new business areas, companies always study the data available to forecast the project’s profitability.

Use Case of Big Data and Data Analytics

Data analytics is an essential tool when it comes to modern marketing & growing the digital economy. Without it, a company’s decisions would be made without any data to back them up, and you could miss out on some excellent growth opportunities!

best data analytics courses in IndiaThe good news is that there are many different types of data analysis techniques available, so you can find one that works best with the kind of information you have at hand.

If this sounds like something worth investing in, you can consider enrolling for several online courses on Data Analytics from Imarticus Learning. You will learn how to analyze data yourself and come up with insights or use a computer program such as Microsoft Excel and several other data science tools to analyze data.

Conclusion

The digital economy is expanding day by day, and it might replace traditional economies in the future. Artificial intelligence (AI) powered tools manage data in this new environment, while manual tasks remain essential for understanding the numbers.

However, businesses rely heavily on consumer insights obtained through machine learning algorithms. These algorithms are decoded with the help of analysts who provide valuable input during the decision-making processes.

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