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Learn The Evolution of Data Science- From AI to ML

Posted on by Imarticus Learning

Learn The Evolution of Data Science- From AI to ML

Data science is a discipline that draws from various fields of study, including artificial intelligence (AI), machine learning (ML), and statistics. The goal is to extract insights from large amounts of information, which you can use in various applications.

 Data scientists work with large datasets to solve complex problems by applying techniques based on these fields of study. In this post, we’ll explore the evolution of data science from AI to ML so you can better know what it means to be a data scientist today!

An Introduction to AI

AI refers specifically to technologies created using various approaches derived from machine learning techniques—for example, deep neural networks (DNNs), reinforcement learning agents such as neural networks with associative memory and temporal difference methods—and evolutionary algorithms such as genetic algorithms (GA).

AI is used in various industries and has become a vital part of our society. For example, AI is used in healthcare to help diagnose diseases, improve patient outcomes and reduce costs. In agriculture, it’s used to monitor crops and detect disease before it spreads. 

In education, it gets used as an assessment tool for students or teachers who need help with specific skill sets such as computational thinking or problem-solving. You can also apply this in transportation (for example, autonomous vehicles), financial services (credit scoring), or other areas where humans interact closely with machines.

An Intro to Machine Learning

ML is an approach to artificial intelligence (AI) in which computers learn without being explicitly programmed using statistical models based on historical data or user input. Machine learning uses algorithms that make decisions without human intervention or explicit programming instructions; its goal is to solve complex problems without requiring human intervention at every step.

The Evolution of Data Science- From AI to ML

The evolution of data science has been an exciting ride. From the early days of artificial intelligence (AI) to machine learning and deep learning, we have seen many advances in AI and ML over the past few decades.

The next level of evolution will get driven by another technology: artificial intelligence, or AI. We are already seeing some of the first signs of this new development.

Data science is an interdisciplinary field that draws upon principles from computer science, mathematics, statistics, physics, and engineering to help us understand the ever-increasing volume of data produced by our society.

Artificial Intelligence has been around for years, but it wasn’t until recently that machines could outperform humans in certain areas. The use of deep learning (DL) had enabled AI algorithms to make big leaps forward in accuracy and speed since 2015 when Google released DeepDream. This image recognition toolkit uses convolutional neural networks (CNN) trained with large datasets as part of its machine learning pipeline process recognition tasks such as image classification.

Explore a machine learning certification course with Imarticus Learning.

With the help of this IIT data science and machine learning certification course, students can launch their data science careers. Through this curriculum, students will learn artificial intelligence, data science, and machine learning fundamentals and the knowledge necessary to apply these ideas in the real world.

Course Benefits For Learners:

  • Students will learn Python in this five-month course, which IIT faculty members created to help them understand data mining and machine learning methodologies.
  • This data science course will be taught live online by the best instructors in India.
  • Our online data science program will help students build a strong foundation in data science.

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

Read This Quick Guide Before You Go For A Data Science Interview 

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Read This Quick Guide Before You Go For A Data Science Interview 

First of all, congratulations on receiving an interview invitation for your dream job!

This article covers all the important information you need to prepare for your upcoming interview. But first, let’s look at the meaning and importance of data science. 

“Data is information, and data will define the future,” Prime Minister, Narendra Modi, remarked at the Audit Diwas event. This demonstrates the possibilities of data science and machine learning. Today, every business needs people who can translate cutting-edge technology into usable data insights. 

As a result, there is a greater demand for experienced data scientists to assist companies in making various decisions. This is an excellent opportunity to join this burgeoning sector. So, study data science, apply for your dream job, prepare for the interview, and get started as a data scientist.

Roles in Data Science

It’s critical to figure out which role is best for you:

  • Data Analyst: The most popular choice for persons who learn data science is a data analyst. Pulling data from SQL databases, performing exploratory data analysis, managing Google Analytics, assessing A/B test results, and understanding excel are all common jobs for data analysts.
  • Data Engineer: Individuals who specialize in creating and developing data infrastructures for data-driven businesses with a high volume of traffic are called data engineers. Designing data models, implementing data processing systems, and administering SQL and NoSQL databases are examples of everyday tasks.
  • Data Scientist: A data scientist’s job profile combines the responsibilities, tasks, and activities of both a data analyst and a data engineer. 

Data Science Interview Guide

  • Programming: Good programming abilities are mentioned in every job description as an eligibility requirement because no data science position is complete without the ability to alter data. Almost every technical interview begins with a programming question.
  • SQL skills: Every analyst is expected to be able to extract data from a relational or non-relational database. Several analyst job descriptions expressly call for experience developing complicated SQL queries to collect data. To crunch datasets, one should be familiar with Python libraries such as NumPy, pandas, and scipy.
  • Machine learning: Machine learning is a crucial topic to cover for data science jobs at the middle and senior levels. Algorithms, linear regression, machine learning problems, decision trees, and other topics should be covered.

Common Interview Questions

Preparing frequently asked data science interview questions is the best way to answer difficult questions and get your dream data science job. Following are a few commonly asked questions that you can prepare for:

  • Why do you want to enter the data science field?
  • What are the various ways to extract valuable insights from databases?
  • What are all the steps to make a decision tree?
  • How to use recommender systems in data science?
  • What all data science courses have you completed?

One of the best ways to learn and start a career as a data scientist is to complete the best data science courses.

Post Graduate Program (PGP) in Data Analytics and Machine Learning

The PGP in Data Analytics and Machine Learning is a nine-month part-time weekend-based working professional program. A six-month full-time program offered on weekdays is another option for completing the course. This program teaches you to apply data science in the real world and construct predictive models that improve business outcomes. 

This guaranteed job assurance program is excellent for recent graduates and professionals interested in pursuing a career as a data scientist. The PGP in Data Analytics and Machine Learning programs has the following benefits:

  • The data science course offers an assured placement program where students get interview calls and placement opportunities from top data science companies.
  • It follows an industry-oriented curriculum that companies around the world accept.
  • It is a perfect blend of practical and theoretical knowledge, where hands-on training is provided to students through various platforms and real-world case studies.

Conclusion

Data science is an ever-growing industry with ample job opportunities for fresh graduates and working professionals. Suppose you want to enter this field, pursue a data scientist career, complete various data science courses, and prepare well for the interview. The PGP in Data Analytics and Machine Learning can help you learn essential skills and topics related to data analytics, machine learning, and data science. So, join the course and delve into the world of data.

Contact us now, or visit one of our training centers in Mumbai, Thane, Pune, Bengaluru, Delhi, Chennai or Gurgaon for queries related to the PGP in Data Analytics and Machine Learning.

Related Articles:

The Perfect Guide To Understanding The Data Science Career Path
Transitioning to Data Science: How To Get There?
The Rise of Data Science in India: Jobs, Salary & Career Paths in 2022
Top 5 Trending Jobs In The Data Science Industry

How a supply chain management training is proving helpful during the pandemic

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How supply chain management training is proving helpful during the pandemic

As the world got rocked by an unprecedented pandemic, the supply chain management course proved to be one of the best decisions for some students. With this type of training, businesses are more prepared to ramp up their production and need a healthy workforce to handle it. In this blog post, students will learn the importance of a supply chain management career. So, let us start with the fundamentals of supply chain management.

What is supply chain management?

Supply chain management is a network of entities involved in the process that begins with raw materials and leads to production, warehousing, distribution, and marketing. The goal is for distributors to get products into the hands of consumers efficiently by reducing costs while also maintaining product quality at all times. 

It is where supply chain management training comes in!

Supply Chain Management Training: Why it’s important?

SCM is a thorough understanding of demand and inventory management. How stock prices fluctuate based on market movements are just reasons companies should invest in staff members who have undergone supply chain management training.

Typically, students interested in this type of career can complete a Supply chain management online course that focuses extensively on business and marketing principles. Students will learn how processes can be improved by effectively providing resources at each stage of the distribution process, including manufacturing, warehousing, transportation, marketing, and distribution.

How A SCM Training Is Helpful During Pandemic

The importance of supply chain management gets neglected, but it is an integral part of any organization’s success. Good supply chains focus on internal processes and external factors such as suppliers, product development, finance & accounting, etc. They drive customer satisfaction by lowering risk exposure from poor quality or discrepancies with stock levels that might result from errors during production or logistics operations.

 The time when products arrive at their end destination should be minimum and consistent with the manufacturing time.  The quality of products needs to match customer expectations. The supply chain must reduce risk exposure caused by external factors such as poor weather conditions. It might affect transport costs or delays due to political events or strikes. 

 In many cases, this is important when companies lack capacity or because it makes sense from an operational cost-savings perspective. Since purchasing power may still help drive down costs and improve the bottom line. It is also an essential aspect of supply chain management. 

Why Enroll in SCM Program at Imarticus Learning

The Professional Certification in Supply Chain Management online course and Analytics is created in partnership with DoMS and E-learning Centre, IIT Roorkee, and industry professionals. Imarticus Learning aims to equip candidates interested in entering the operations and supply chain business with cutting-edge experience.

Supply Chain Analytics allows management to make data-driven choices at the strategic, operational, and tactical levels. There is a scarcity of experts with the process and analytical skills in the Supply Chain Management area. This credential prepares students for jobs such as Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner, which are in high demand.

Some course USPs:

  • The Supply chain management course lets the students learn job-relevant skills that prepare them for an exciting Supply chain management career.
  • Impress employers & showcase skills with a certification endorsed by India’s most prestigious academic collaborations –  IIT Roorkee and Imarticus Learning.
  • World-Class Academic Professors to learn from through live online sessions and discussions. This will help students understand the practical implementation with real industry projects and assignments.

Introducing Certification in Artificial Intelligence and Machine Learning in Collaboration with E & ICT Academy, IIT Guhawati and Imarticus Learning

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Introducing Certification in Artificial Intelligence and Machine Learning in Collaboration with E & ICT Academy, IIT Guhawati, and Imarticus Learning

Machine learning is powered by AI. With ML, we can power programs that are easily updated and modified to adapt to new environments and tasks- resulting in quick progress on difficult projects. ML and AI are almost synonymously used in tandem when it comes to the latest tech trends. And, AI has disrupted many industries forever – like SaaS, Manufacturing, Defense, Analytics, public sector, and so on.

If you learn machine learning through the best Machine Learning & AI course, you are likely on a fast and high-growth career trajectory.

Here is why!

#1. ML & AI Are Skills of the Future

Skills in ML can affect your long-term employment prospects because the field is projected to experience rapid growth.

With the emergence of advanced technologies like the Internet of Things (IoT), Machine Learning is experiencing a certain surge in demand and popularity.

If you learn machine learning by taking up data science certifications, there is an increase in the probability that you will have better job prospects as compared to someone without ML skills.

#2. Solve Real-World Problems

There is a lot of talk about how AI will replace jobs, but the truth is it will create new job opportunities. As an ML engineer, for instance, you get to work on projects that have a big impact in the real world and lead to business solutions that are meaningful.

#3. Versatile Growth Opportunities in the Data Sciences

Machine learning and artificial intelligence (ML &AI) skills are beneficial to a data science career. Both positions give you the opportunity to let your knowledge of both fields expand. Switching back and forth between roles can quickly enable you to become an invaluable resource in today’s rapidly changing world.

You want to have an advantage as early as possible so that you can learn about solving new and undiscovered problems. When the time comes, these skills will be in great demand and allow you to secure a career path on the rise.

What does a growth path in this domain look like?

Typically, a machine learning engineering career path begins with being a Machine Learning engineer. Machine learning engineers develop applications that automate common tasks previously done by humans and take care of the repetitive ones for humans to do efficiently without error.

When you earn a promotion as an ML engineer, you are then promoted to be an ML architect! Their responsibility is to develop and design prototypes for applications that need development.

There are a few other roles in the field which one could take on as well. These include ML data scientists, ML software engineers, senior software architects, and more.

New tech arenas keep developing into this space. So, keep your interest, skills, and industry demands aligned for the best growth!

How to make a successful career in AI & ML?

Want to learn machine learning with the best Machine Learning & AI course?

Imarticus brings to you the class-leading AI & ML certification in collaboration with the E&ICT Academy of IIT-Guwahati.

Our highly-rated program has fostered hundreds of successful professionals serving the industry worldwide. Your chance to be a part of this prestigious career trek begins with us. Enroll with Imarticus now!

Data Analytics: The Secret to Growing Your Business Using Data

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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

Posted on by Imarticus Learning

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.

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