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Category: Analytics

Data Analytics: The Secret to Growing Your Business Using Data

Posted on by Imarticus Learning

Data Analytics: The Secret to Growing Your Business Using Data

In today’s world, where every aspect of human life relies on technology to function better, the amount of data generated is unimaginable. Now, companies are using this information to their advantage. They are using it to develop their products, market them, and target customers better.

Some of the biggest companies, who are pioneers or market leaders, have been able to make it big by being data-driven in taking business decisions. That is why it makes perfect sense to have a career in business analytics.

What exactly do we mean by data analytics for business?

By taking raw data and by uncovering patterns with the help of insights that are given within the data, the business finds and deploys the best strategies to engage the customers. In addition, as mentioned above, the information they unearth goes into their new product development and other improving other areas of the business.

To implement this process, companies employ data scientists and analyst who uses specialised tools to find relevant information from the raw data. But successful operations necessarily require a data analytics-based foundation which also has an inclusive data strategy.

Is a strategy backed by data analysis good for business?

Of course, it is good for business, as it will ensure you make a more informed decision rather than going ahead with your instinct. This way, as a business owner, you will make the correct decision regarding products, investments, and company operations. Now, this is true for businesses of every scale. Big corporations have spent billions on big data and AI to improve their customer experience and deliver the exact product per market requirements.

For instance, Netflix was able to deliver House of Cards and Arrested Development after studying the data insights. Likewise, Coca-Cola used data analytics to understand their consumer demography and how and why its target ads were performing. 

What else does data analysis do?

Apart from helping measure the key performance indicators, data analytics helps in many other ways possible. Some of the main ones are given below:

  • Help to mitigate fraud and other risks: Data analytics help reduce fraud and theft, unused receivables, staff safety, and legal responsibility.
  • Improve security: Data analytics allow organisations to recognise potential fraudulent behaviour and trace perpetrators after identifying them.
  • Streamline the organisation’s operational behaviour: Data analytics can help in designing operations and controlling them effectively so as to reduce the wastage of human effort and achieve operational excellence.
  • Provide quick customised service: Companies have started using advanced analytics instead of excel sheets and SQL databases to handle quantitative data. This helps organisations to attend to their customers in real-time. In addition, this helps to build a loyal fan base.

How to implement data analytics in business?

If you want to become a data analyst in India, then you need to enrol in a good data analytics course with placement. After registering for the course, you will learn techniques that will help you leverage data analytics for business insights and help your company grow. Here’s how you will implement data analytics to help in the advancement of your business.

  • You need to decide which key metrics to use: As business analysts conducting business intelligence projects, you need to understand the conversion of prospective leads into customers and their conversion rates. You must also understand the customer spending data, review your advertising strategy, and avoid common revenue model development mistakes.
  • Create relevant dashboards for data visualisation: Dashboards are required for explaining statistics to your non-tech personnel so that they can understand all the essential points in a conference or meeting and comprehend what the key areas of focus are. This will help the workforce plan in a better way.
  • Picking the correct tool for data analytics: Apart from understanding the metrics, you also need to understand which data analytics tool provides deeper insights and a better perspective of tracking customer data. 

Imarticus data analytics course, Post Graduate Program in Data Analytics & Machine Learning trains you to handle every aspect of data analytics and take advantage of the best analytics and big data analytics tool. It is one of the few data analytics courses with placement that can accentuate a person’s career and help them grow and prosper in their jobs.

To sum up, as time progresses and the inclusion of technology in human lives increases, the need for data analysis and management will amplify. Therefore, it is almost certain that a career in business analytics is feasible and has the prospect of growth in the coming decades.

Stop If You’re Looking For A Job-interview Guarantee Data Science Program

Posted on by Imarticus Learning

Introduction

Data is one of the most critical assets in the business world. Every company makes its market and future decisions based on data.

The importance of data and its widespread applications has led to a sharp increase in the demand for professionals who have studied data science. These experts can quickly analyse the data and convert it into meaningful business numbers.

No wonder data science is one of the most sought-after professional courses. Companies are willing to offer high salary packages to individuals with data science training.

A data science course with  job interview is your key to unlocking a flourishing career with endless opportunities

Problems with Available Data Science Programs

Most data science online training programs do not come with guaranteed job interviews. Another problem is the lack of practical sessions for the students to gain hands-on knowledge.

Online availability of learning resources is one of the main requirements, allowing students the flexibility to learn remotely.

Your data science online training module must include a good mix of theory-based and practical training. After all, such courses are meant to leave you future-ready. However, many data science courses are found to lack all these offerings.

What Should You Look Out For?

Selecting a course that provides job interview guarantee in a reputed company is one of the best ways to put your career on the right track.

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If you enrol for a data science course, mere theoretical understanding will not suffice. You need practical knowledge too.

Professional Data science online training and courses will equip you with the following skills:

  • Probability and Statistics
  • Multivariate Calculus and Linear Algebra
  • Programming, Packages, and Software
  • Data Wrangling
  • Database Management
  • Data Visualisation
  • Machine Learning
  • Deep Learning
  • Cloud Computing

What are the Top 10 Reasons to Learn Data Science Course in 2022?

With the rapid digitizations of systems worldwide, data-driven decision-making is gaining momentum. Hence, a profession in data science has become the rage.

Most companies look for talented and proficient employees, no matter how small or large. They seek people who can research the data precisely, thus making it the most alluring job and hot career in any domain.

Here, we have assembled the top 8 benefits data science certification offers in 2022.

  • High Salary.
  • Job Opportunities.
  • Offers Quick Growth.
  • Add Value to the Business.
  • Future Focused Career.
  • Center of Decision Making.
  • Freelancing Opportunities.

How to Select A Data Science Program?

Consider a data science course with job interview, where the central focus is on using data science to build predictive models and real-life applications. It should help you grasp the basic principles of data analytics and machine learning – tools in demand in the market.

The course should, additionally, give you a good enough practical knowledge of Python, SQL, Data Analytics, and more. The course content should always be available for review and learning online, always. It would help to revise the content from any place, anytime. Also, ensure that the data science online training program you choose covers all the necessary topics.

You want to pursue a career in data science but are unsure where to start. The world of deep tech is continually changing, so it’s crucial to stay ahead of the curve by continuing your education. Here are a few factors that will help you choose the perfect course.

  • Define your goals.
  • Do your research.
  • Consider your learning style.
  • Check the credentials of the instructors.
  • Look at the reviews.
  • Make sure the course is updated.
  • Determine the value for money.

Final Thoughts

If you’re looking for an ideal data science online training program, the Imarticus learning program will prove right for you because:

  • The course format is easy to follow.
  • We have more than 300 companies and over 35,000 learners enrolled with us.
  • We provide you with quality career support.
  • Experienced and expert creators and tutors have created each course.
  • We aim to enrich students’ careers by helping them learn new skills.
  • Our fee structure is quite reasonable.

Connect with us through chat support on our Contact Us page. Alternatively, you can visit our training centers located in cities like Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, and Ahmedabad.

Is embodied learning essential for artificial intelligence and machine learning courses?

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Is embodied learning essential for artificial intelligence and machine learning courses?

Embodied learning is a form of learning that has been around for quite some time in the field of education. In this approach, one not only provides an intellectual manner of teaching but also involves the whole body in the process. Embodied learning is a form of a pedagogical technique that emphasizes the role of the body and emotions in learning rather than only the mind. The link between the body and the mind lies at the heart of embodied learning.

It is hard to imagine a more rudimentary approach to education than the traditional deep learning training technique taught in most machine learning certifications. It is based on giving information about the world in a random and repeating manner in the hopes that the learner, i.e. the neural network, would be able to separate and generate adequate abstractions of reality.

Embodied AI research and development is mostly focused on computer vision research ideas, in contrast to the first AI technology that relied on data and mathematical optimization. Natural Language Processing, Computer Vision using OpenCV and Convolutional Neural Networks, Reinforcement Learning and Robotics are all part of embodied learning or embodied AI. Using a realistic simulator in a three-dimensional environment, AI virtual robots and egocentric aides may be trained in an embodied environment before being used in the field.

How Does Embodied Learning Work?

Embodiment in AI refers to working with physical systems in the actual world, “robots”, in other terms.

Evolving AI researchers are shifting away from an algorithm-driven approach. Instead, they seek to get a thorough understanding of how biological systems operate before applying that knowledge to the creation of artificial systems like robots or intelligent technologies.

To interact with the real environment and to learn from their encounters, the robots use artificial intelligence, sensors that can collect data from the environment around them, and AI systems that can analyze and “learn” from this data.

Computer Vision

Computer vision is a branch of artificial intelligence that focuses on teaching computers to recognize and analyze visual and video input. Machine learning (ML) models may be used to identify and react to photos. An application of computer vision is unlocking the smartphone through face recognition.

Why This Course?

To position yourself for employment, study the principles of data analytics and machine learning and master the most commonly used data science tools and approaches, Imarticus’  certification in artificial intelligence & machine learning is one of the most comprehensive artificial intelligence courses out there. Students who successfully finish this program will be guaranteed interviews.

Over the years, Imarticus’ placement partners, numbering in the hundreds, have held recruitment drives and have hired students more than a thousand in number. Mock interviews will be conducted by professionals in the field; capstone projects, career mentorship, and other services are all part of the Career Services program. To help the students succeed in the job market, Imarticus devotes its time and attention to each candidate. You will learn how to improve your LinkedIn and GitHub accounts, as well as your CV.

Conclusion

Embodied AI’s early growth has been aided by recent advances in Internet AI. In order for robots to be able to successfully interact with the actual world, Embodied AI will need to surpass the achievements of Internet AI. Imarticus’ certification in artificial intelligence & machine learning, mentoring, and career services will boost your career to the next level if you are seeking a comprehensive program in artificial intelligence and machine learning. Learn AI from the best in the industry. There is no time like the present to get started on your journey to being a data science professional.

Full-Stack Development – Complete guide

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Full-Stack Development-Complete guide

The U.S. Bureau of Labor Statistics shows that between 2022 to 2030, demand for software developers, will rise to 22%. So, full-stack development can be a fantastic career choice in 2022 if you enjoy technology and want to work in the tech sector.

As not only established companies but firms across the globe are hiring full-stack developers, like never before.  

The article will guide you about the full-stack development industry and how to start your career as a full-stack developer. We have covered the following points in the article.

  1. Who is a full-stack web developer?
  2. Full-stack developer skills
  3. Salary of a Full stack developer in India
  4. How to become a full-stack developer
  5. Full stack developer a good career option?

Who is a full-stack web developer?

Full-stack developers are experts in frontend and backend development and technologies. They are well-versed in frontend and backend languages and frameworks, server, network, and hosting environments. In addition, they are experts in both business logic and user experience. That is why they can also make and guide strategies.

The skills required to become a full-stack developer

To be a full-stack developer, you should be familiar with frontend and backend development and frameworks. Soft skills, in addition to development skills, play an essential role in helping you climb the ladder faster.

Let’s have a look at the frontend and backend development frameworks.

Front-end development and Frameworks

Cascading Style Sheets (CSS)

 CSS enhances the aesthetics of the website’s content. This is a style sheet that enables changing the web component and style font, size, spacing, etc. It also specifies how HTML elements should appear on the screen.

Hypertext markup language (HTML)

The appearance of text/images on the screen is controlled by a hypertext markup language. It formats the text as headings, paragraphs, and pop-ups, among other things. It is typically made up of tags that give the text in a document structure a different meaning. 

Backend Technologies and Frameworks

Python

Python is the most popular and widely used programming language. It is adaptable and simple to use. For backend development, we use Python frameworks such as Django and Flask. Django is also a high-level Python web framework and open-source, with a large and active user community.

Java

Java, in particular, was designed from the ground up to be used on the server. Spring and Java Server Faces are two popular Java frameworks.

Javascript

JavaScript and its related environments, such as NodeJS and ExpressJS. Node is a cross-platform, open-source runtime environment that enables developers to create server-side tools and JavaScript applications.

Therefore, an understanding of npm (Node Package Manager) is required.

Knowledge of C#, Ruby, Perl and PHP, Database Management Systems in critical. Version Control, and Web Hosting Platforms are also important to learn.

Soft skills required for full stack developers

Analytical Skills, creative skills, planning, time management, and problem-solving are few but very critical soft skills. A full stack developer should possess all these skills to enter the field of full stack development.

Also, to sustain in the sector and reach heights, one should have a blend of both hard and soft skills.

 Salary of a Full stack developer in India

According to Glassdoor, the average salary for a Full Stack Developer in India is Rs. 6,50,000 annually. But, the package also depends on the years of experience and job locations. In addition, other factors which impact the salary of a full stack developer are institute, job role, company, and status of the project.

How to become a full-stack developer?

To work as a full-stack developer, you must first learn frontend and backend development and frameworks. Also, you should gain knowledge of programming languages such as Python and Java. Also, it is essential to have hands-on experience with database, deployment, testing, and server-side frameworks.

Enroll in a full stack developer course from a reputable institute to learn the skills. You should choose an institute that offers placements and interview preparation. Learn, network with industry experts, and land a job as a full-stack developer.

Full stack developer a good career option?

Full stack developers are in demand. The majority of businesses are recruiting them in record numbers. As per a survey, the industry of full-stack development has seen an increase in employment by 30%. In addition, it is a solid career choice since it allows working in frontend and backend development.

Full-stack developers will be in demand as long as website creation is required for the business. So, if you are looking for a job and career in full stack development in 2022, you should definitely do it.

Final Takeaway

The full-stack development sector is booming, creating many new jobs and incredible career options. 2022 is the best year to join the Full-stack development industry. You can enrol in a full-stack development course that will guarantee you job interviews, gain industry exposure, and launch your career.

The Value Of A Supply Chain Analytics Certification

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The Value Of A Supply Chain Analytics Certification

The most crucial aspect of managing efficiency in any department at any organisation is supply chain management. Supply chain analytics is a collection of procedures that assists in effectively procuring and distributing goods in a supply chain.

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Supply chain analytics is a challenging process that calls for a wide range of expertise. About 57% of businesses view supply chain analytics certification as a competitive advantage that helps them grow their business. Supply chain management online training programs are widely available and can help you gain a better understanding of the challenges that organisations confront in the modern global economy.

Significance of supply chain management 

Profitability and cash flow can both be improved by supply chain management. Any business attempting to maintain continuity should have these as its fundamental goals. Following this management, some of the key goals that might be accomplished include:

  • Supply chain management aims to increase client loyalty by increasing its capacity to supply high-value items at competitive prices. It enhances process efficiency by eliminating redundant steps and improves the method for delivering goods by cutting down on the time and resources needed to offer goods at certain times to designated locations. 
  • Supply chain analytics improve coordination between supply chain participants, (distributors, producers, wholesalers, suppliers, retailers and consumers). Building relationships, communication and cooperation amongst many participants in the supply chain all depend on trust by connecting diverse supply chain stakeholders. 
  • When a product is first introduced, supply chain management focuses on getting it to the client and meeting their demand. As client orders rise, expanding outlets and maximising the size of the supply chain are the primary objectives. The main goal is to boost supply chain effectiveness to cut costs as order volume stabilises. 
  • Connections between supply chain participants through payment systems lower costs by supplying products in response to demand predictions (relevant for maturity and regression stage). The withdrawal aims to expand the services that it provides by supplying goods in response to actual demand. A combination of withdrawal and payment systems is integrated and is preferably applied in sectors where it is difficult to forecast demand. Cost reduction is significantly impacted by the economies of scale at the same time.

Importance of supply chain analytics 

It all comes down to identifying the root causes, effects and solutions to supply chain issues. These three characteristics are referred to as supply chain insights and are gleaned through analytics. The supply chain analytics concept encourages sharing by working with individuals in the chain to build value and fairly distribute advantages among participants. The system’s goals include quality improvement, cost reduction and competitive advantage. This can be accomplished by developing the supply chain, which is referred to as the value chain.

A supply chain can be developed in several ways, one of which can be broken down into subsequent steps. Big data analysis can also be used for this, but first, gather and analyse customer and market data to help managers notice changes in the market and working environment. Data analysis is for employing methods for descriptive and quantitative analysis to derive indicators and patterns of change that may present opportunities for supply chain development.

Why should you register for a supply chain analyst certification online course?

If you want to become an SCM analyst then it is essential to receive supply chain management online training from a reputable institution. The following are only a few of the key abilities you will have after passing the supply chain analytics certification exam to become an SCM analyst:

  • Acquisition of goods
  • Product optimization management of supply chain
  • Innovation projects design of business processes 
  • Risk assessment
  • Supply-chain technology
  • Inventory control and logistics planning
  • Predicting demand
  • Managing the warehouse

With the help of the supply chain, management analytics parties to the supply chain might gain knowledge from one another through their collaborative efforts with a culture that constantly looks for creative possibilities to cut costs. It gives them a competitive edge by exchanging and interpreting information that enables them to alter internal business procedures and inter-organisational relationships.

Conclusion 

To have a large social and economic impact, analytics can be used in a variety of supply chain domains, including sales, logistics, production and sourcing. So now it is a fantastic moment to consider the benefits a thorough supply chain analytics strategy could have for your company. You can become an SCM analyst with the help of a professional supply chain analytics certification program. Imarticus offers the most up-to-date supply chain management online training and a placement guarantee. It takes candidates on a journey to this intriguing field where data analytics and supply chain management converge. Learn supply chain management and earn an IIT Roorkee certification by registering on Imarticus learning right now! 

Learn Hadoop Online: Analytics Qualifications That Will Get You Hired

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Learn Hadoop Online: Analytics Qualifications That Will Get You Hired

Big Data helps organisations to obtain better insights into business to improve decision-making by providing ample information. However, a decade back, there was little knowledge about technologies that are required for storing and processing this sea of information.

Nonetheless, the scenario has altered totally, and nowadays, there are multiple ways to deal with this issue, and Hadoop is one of the first technologies that was used for this purpose. Moreover, since organisations are now fixating on the use of data and storing information is becoming crucial, the need for ample professionals has arrived. So, if you wish to enter this field, then taking time to learn Hadoop online can add to your resume and helps you get better opportunities.

What Are The Skills Required For A Hadoop Career? 

If you are wondering what skills are required for learning Big Data and Hadoop, then you need to dig deeper and understand the curriculum for this section of data analytics training. You need to possess the following tech skills:

  • Linux
  • Knowledge of OOPs programming language or a functional programming language (Java/Scala/Python)
  • SQL/NoSQL
  • Hadoop ecosystem tools like Pig or Hive
  • HBase

Now to acquire these skills, you can enrol for a data analytics course with placement. Now there are many such courses in the market, but one that stands out owing to its advanced curriculum, industry-focused case studies, etc., is the Data Analytics and Machine Learning program from Imarticus Learning. With this course, you will be able to learn about the fundamentals of this field and acquire the skills necessary to further your training in learning Hadoop.

Who Can Opt For A Hadoop Career?

Anyone with the relevant knowledge and expertise can shift to this career path. Having said that, it is primarily the IT professionals who make this switch from the following domains –

  • Software Architects
  • Developers
  • BI /ETL/DW professionals
  • Software testers

Now, if you are wondering about the designations, well, here are some examples –

  • Software Development Engineer
  • Machine Learning Engineer
  • Big Data Consultant
  • Big data Engineer
  • Hadoop / Big Data Developer
  • Hadoop Administrator
  • Big Data Architect
  • Data Engineer

Salary of Hadoop Professionals

Following the designation, another common concern is the salary package on offer. Well, in India and across the world, the remuneration for such expert professionals is handsome and very lucrative.

However, you should also note that your salary will depend on a few factors like –

  • Educational background and specialisation
  • Working experience
  • The company you are joining and at which designation

Having said that, the average salary for Hadoop professionals is in the range of $110,000 to $120,000, to begin with. And, as you progress in your career and rank, it will increase accordingly.

Big Data Analytics in Various Domains

Given below are some examples of which domains have employed Big Data analysts in various roles in their industries:

  • Banking
  • Finance
  • Communication
  • Education
  • Media and Entertainment
  • Government
  • Healthcare
  • Transportation
  • Energy

To sum up, Hadoop has altered how data storage and management work. It has helped data analysts find relevant information easily, store their work and seamlessly maintain the flow of data. However, even though it is a popular aspect of data analytics, it is still not mainstream, and there aren’t many who possess expertise in this matter. So, if you want to stand out in the crowd of other aspirants pursuing a career in data science, learn Hadoop online and get the necessary certifications in order.

7 Things To Keep In Mind When Pursuing Your Data Science Career

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7 Things To Keep In Mind When Pursuing Your Data Science Career

A career in data science is quite alluring in this online era. It has emerged as one of the most popular and pioneering career options in the last decade. And, this trend might continue and grow in the upcoming years as well. But, the initial stage of learning data science might be quite daunting as there are various questions regarding this field as it is quite new to the mass. 

best data science certification courseRead these seven points to know more about data science courses and things you must keep in mind before pursuing a career in the domain.

7 things you must contemplate before starting a career in data science

Choosing the correct role: A very crucial decision that you have to make in the initial stage is the role that suits you. There are various roles in this data science industry like data visualization expert, data scientist, machine learning expert, and data engineer. You will be receiving your job offers which will depend upon your role, field of specialization as well as work experience. So, you must be crystal clear about the role you want to pursue. Otherwise, there will be a cloud of confusion regarding the course and path to go.

The next thing one has to keep in his/her mind is the completion of an online course. By pursuing data science online training, you can learn whatever you want to as you will be provided with enough study material. There are many free and paid online data science courses in which you can enroll yourself. Learning data science can be difficult but most importantly you ought to make sure that your basics are clear.

Notably, clearing your basics will promote you to a suitable level and will give you a further push. For clearing the basics you need to keep yourself updated with the coursework, discussions, and assignments. Keeping up with the daily course discussion will give a very clear picture of the data science field.

There is a distinction to be made between theoretical knowledge and practical knowledge. To excel in the field of data science, one has to focus on both theories as well as practical. Focusing on practicals will help you comprehend reality as you will get a clear picture and a deep sense of how things work and are applied in real life. By completing the course assignments and exercises you can understand the reality of various applications. You must interact with people who are associated with this industry and try to comprehend their solutions to develop a deeper understanding of reality.

But, it is always not about the comprehension of practical knowledge. It is also about following the correct resources. You need to immerse yourself in every source of knowledge you can accumulate. The most easily available sources of knowledge are blogs by renowned data scientists.

By following these blogs, you will be notified by these data scientists about their recent findings and advancement in the field. You must inculcate the knack of reading the recent events that take place in the data science field to keep yourself updated. But, make sure that your resources are genuine and free from malpractice. 

Apart from academics, one needs to put effort into his/her communication skills. Lack of communication skills might end up in the rejection of job opportunities. Acing a job interview entirely depends on your good communication skills. Even if you are working in the field, you will require good communication skills. Besides, you will need a good network as well. To create a good and strong network, you can attend industrial meetups along with popular events and conferences. 

Developing basic knowledge in SQL is very essential in the field of data science. This is also a fundamental skill that a data scientist must possess. You automatically become a favorable person to get hired by various companies if you acquire the knowledge of SQL or data storage techniques. 

The final things that you ought to keep in mind are model deployment, resume, and guidance. Model deployment is a very essential step from the business point of view. One must acquire the basic knowledge of model deployment even if it is not required for your company. Apart from this, a strong resume and guidance from any alumni will end you up with a profound company.

Conclusion 

A data science career is quite in demand in the job market and employers are also investing a huge amount of money and time in data scientists. A career in data science can be very bankable for you. So, get yourself enrolled in a good data science course now and unlock several opportunities in the field. 

10 Things You Need To Know To Become A Certified Ethical Hacker (CEH)

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10 Things You Need To Know To Become A Certified Ethical Hacker (CEH)

The Certified Ethical Hacker is a credential that certifies you in the field of information security. It’s also a great way to distinguish yourself as an IT professional. The CEH exam covers many areas like hacking, ethical hacking, and penetration testing. 

What is CEH?

CEH stands for Certified Ethical Hacker. It is a globally recognized professional certification and has a reputation as one of the most rigorous certifications available today! 

Find Information About Requirements and the Training Process

The EC Council offers certifications that focus on different aspects of security, including penetration testing and ethical hacking. 

Choose a CEH Training Course

Once you have chosen the CEH certification course, it is time to start studying. You will need to study for at least two hours a day, five days a week. The best way to do this is by taking notes while watching videos or reading books on the subject matter. 

Use real-world environments to study

If you want to become a CEH, then you must use real-world environments to study. Try getting a job in cybersecurity. It is not just about learning how networks work but also how different attacks work on those networks. 

Get involved in an exam prep course

Even though choosing only to use a self-study approach might seem daring, it might not be the best course of action. By enrolling in a certification preparation course, you can spend time with a knowledgeable instructor who has experience passing exams. 

Join an online community

The CEH community is one of the best resources to find information about CEH and other cybersecurity topics. You can search “CEH” on Google and read through various blogs and forums. Join the Facebook groups set up specifically for CEH professionals working together to share their knowledge and experience.

Get to know your exam

The exam is based on the CEH syllabus and has multiple choice questions. It’s also a closed book, meaning you don’t have access to any information while taking it. 

Set a Date for the CEH Exam

Having a date set and sticking to it makes it easier to stay focused during the exam. The only time it’s acceptable to take the exam on a day other than your scheduled appointment is if there’s an emergency. 

 Take the CEH Exam

You must be well-rested and have a good breakfast before taking the test. Having plenty of time on your hands during this process is also essential, as no breaks will be allowed during any part (including breaks between sections). 

Clear your mind

You can’t become a Certified Ethical Hacker (CEH) if you don’t clear your mind. The importance of sleeping, eating, and drinking all day long will become apparent when you are in front of a computer screen for hours on end. 

Discover a career in cybersecurity with Imarticus Learning

Students have the best learning opportunities with online cybersecurity certification courses. After completing the ethical hacking course, students will prepare for careers as penetration testers, cyber security specialists, cybersecurity analysts, incident handlers, and SOC Team members.

Course Benefits For Learners:

  • This is the best cybersecurity course with placement that teaches students about ethical hacking, penetration testing, and real-world scenarios.
  • Along with teaching them problem-solving skills, instructors will put the students through rigorous SOC team training.
  • This cyber security training will cover the fundamentals of security practices, techniques, tools, and tactics with a job assurance.

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

Top 6 Tips For Becoming A Supply Chain Analyst

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Top 6 Tips For Becoming A Supply Chain Analyst

Supply chain analysis is a demanding job. If you’re considering the transition into the supply chain industry, the road ahead will be long and difficult. Don’t despair! With a bit of work and effort on your part, you can make it happen. Here are the top six skills for becoming a supply chain analyst.

Cost Accounting.

To become an analyst, you must know cost accounting skills.

There are three stages involved in creating a budget:

  • Collecting information from all departments within your company.
  • Analyzing this data using different techniques such as trend analysis or forecasting. 
  • Summarizing these results into one report (a summary report).

Project Management.

Project management is one of the essential aspects of supply chain management. Project management involves planning, coordinating, and controlling projects to ensure they get completed on time, within budget, and with high quality.

It’s also essential to understand project phases well to identify where each phase concerns other phases or when another phase should be started/completed. 

Leadership.

Leadership skills are essential for supply chain analysts. They’re also crucial in any job, industry, or role. Even if you don’t think that leadership applies to your specific situation, it’s still worth considering because these days, everyone needs them—and they will help you get ahead in business and life.

Business Ethics.

To be a great supply chain analyst, you must understand the importance of business ethics. This is not just about following the rules and regulations in your industry—it’s also about knowing which decisions make sense and which don’t. 

Making ethical decisions can be challenging because there are so many factors to consider: from a cost vs. profit analysis to employee safety concerns, every decision has its own set of potential consequences for everyone involved.

Time management.

Time is the most critical factor in becoming a supply chain analyst. You must be able to manage your time well to complete all of the tasks on your plate. A good supply chain analyst will always have a clear view of their schedule and prioritize their tasks accordingly.

Set goals for yourself

 This is essential to being productive in any job, especially if you’re trying to become a supply chain analyst. Without clear goals and expectations, it’s impossible for anyone—to know where they stand concerning those expectations; this makes it difficult for people who have no idea where they’re going or what they should expect from themselves at any given moment.

Communication 

Communication is key to success as a supply chain analyst, but soft skills are just as necessary. Soft skills include interpersonal skills, leadership, and management, which will help you get along with people in the office or on the job.

Leadership is also vital for supply chain analysts because it shows that you can lead others through your work ethic and attitude towards them.

Explore a Career in logistic management with Imarticus Learning

Managers will benefit from taking the best supply chain certification program when making tactical, operational, and strategic decisions. 

Course Benefits For Learners:

  • By integrating conventional supply chain online courses with data-driven decision-making, get ready to contribute to creating more innovative and tactical global supply chains in the future.
  • Students who complete the IIT supply chain management online training can get ready for highly sought-after careers as demand planners or data scientists!
  • Python will help students make better supply chain decisions by teaching them to be data-centric.

Visit one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or contact us via chat support.

Computer Vision Is Interesting. Here’s Why You Should Learn It

Posted on by Imarticus Learning

Computer Vision Is Interesting. Here’s Why You Should Learn It

You may not have heard of computer vision, but it’s a big deal. It’s one of the most exciting things happening in tech right now. Soon enough, computers will be able to recognize what you’re looking at — whether that’s an object or a person — and then perform actions on your behalf. 

This could mean something as simple as automatically turning on lights when you enter a room or interacting with your smartphone via voice commands instead of typing text messages. But this technology isn’t limited to just action-oriented applications: It has real-world uses for improving everything from autonomous cars to home security systems.

Computer vision is everywhere — and it’s about to invade our lives significantly.

A subfield of AI (artificial intelligence) called machine learning includes computer vision. In machine learning and computer vision, helpful information from digital images or videos is automatically extracted, analyzed, and understood.

You can use Computer vision in industries like agriculture, manufacturing, finance, and healthcare. It’s also an essential technology for autonomous vehicles (AVs), where it helps them identify people or objects in their surroundings.

Computer vision differs from other AI techniques because it focuses on understanding content rather than just identifying objects in an image. For example, if you take an image with two boxes and ask your computer what they are, it won’t be able to tell you; but if instead, you request it, “what color do these boxes have?” or “how many features can we use on this image,” then suddenly our computers become much more capable at finding helpful information!

How does machine learning work with computer vision?

Machine learning and computer vision are two sides of the same coin. Machine learning is the process of training a computer to do a task, while computer vision is the procedure of teaching a computer to see.

So how do they work together? Let’s say you want your robot to recognize objects in its environment and interact with them somehow—like pick up a toy or open an electrical outlet cover (or whatever). For this to happen, you need a machine learning and computer vision at play; otherwise, it would be like teaching your cat how to play fetch without letting him try out his skills first!

What are some real-world uses for computer vision?

Here are some real-world examples of how computer vision can help you:

  • Self-Driving Cars: If you’re wondering what your car will do next or how to get home safely after a night out with friends, computer vision can be of great use.
  • X-ray examination: Even though most clinicians still use manual X-ray picture processing to diagnose and treat illnesses, computer vision can automate the process, improving efficiency and accuracy.
  • Healthcare: The healthcare sector has evolved thanks to computer vision, significantly one of the complete databases for medical imaging information. 

Explore Course on AI and machine learning with Imarticus Learning.

Discover machine learning online training by enrolling in the E & ICT Academy’s deep learning Artificial Intelligence certificate program. 

 Course Benefits For Learners:

  • To gain real-world business experience and prepare for a fulfilling career in data science, students work on 25 real-world projects.
  • Students can impress employers and showcase their skills with a certificate approved by the E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed credential.
  • After completing this computer vision course, students can find lucrative employment in the artificial intelligence and machine learning industries.

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