Machine Learning A-Z: Hands-on Python and R in Data science

R and Python are both equally great programming languages. However, each has its own set of advantages that it offers to the user. For example, when we are talking about development processes or IT operations, Python is always a better option. But when it comes to statistical tasks or analytics, R can prove to be a much more suitable alternative.

This is because R has been created for Statisticians and for statistical projects. Skilled programmers can, however, employ any of the two languages to perform any task. For instance, Python can be used for using statistical techniques like Regression Analysis or Bayesian inference on datasets. Similarly, R can also be used for building new Data Science tools and data models. 

Python is quite easy to learn with simple syntax while R has various language boundaries. One can easily learn Python online with the help of a course. However, R is far superior in graphical and statistical procedures. R is more scientific in nature and will be much easier for statisticians or professionals who have worked with MATLAB, another scientific programming language.

Python is more focused on running algorithms and makes it easy to build programs in general. In Data Science, however, both are equally important and competent languages. R and Python can work with massive databases and are equally good at Machine Learning projects. 

R in Data Science

R is used in Data Science for graphical and statistical purposes. This language can help users create advanced visualizations and high-quality graphics as well as dynamic graphics. R is also great for data mining and statistical computing in general.

R has a set of functions that allows datasets to be loaded into the memory with program statements, but that is only required if you are going to be building R programs that will keep getting used for various functions. Otherwise, you can simply use the data import function in R Studio (IDE for R). R is able to work with data in two different formats in R studio, CSV and TXT. Once you select the dataset you wish to be working with, R will load the dataset and you can then work on it.

Python in Data Science

Python is a high-level programming level that does not require compilation before running code. This makes it very fast to use for all kinds of projects, including Data Science and Data Analytics. Python is extremely flexible and is a multi-paradigm language, thus, allowing Data Scientists to use different approaches and keep improvising the language with extensions and plugins.

Before loading a dataset in Python, you must first import pandas (library) and install them in Python. After that, a custom function must be created that loads the dataset for you. By creating a load_csv function, you can fundamentally provide an argument for your dataset’s file path.

Also, the readlines() are used in order to ensure that the program returns a list containing the lines inside the .csv dataset. You can also additionally present the data in a more visually appealing way by returning the dataset in a data frame format. This makes it easier to view the data as compared to the native list format or NumPy arrays.

Conclusion

Both the languages also are open-source and have huge communities behind them to keep providing new libraries. There are also a good number of updated tools and powerful IDEs (Integrated Development Environments) available for both R and Python.

If you wish to learn Python or R for Data Science, you should definitely opt for a solid Post Graduate Program in Data Science. You can also choose to take up a Machine Learning course with a placement or a Data Analytics course with placement as well. 

The value of an IIT supply chain management certification

The value of an IIT supply chain management certification

Supply Chain Analytics Certification facilitates managing the movement of goods and services. It also deals with meeting customers’ needs in a timely and economical way. The demand for Supply Chain Managers is increasing at a high rate and has surpassed other professions. This is because SCM managers are the crucial links for the operations. 

If you are looking to work in a global company that deals with logistics internationally, then the course is the correct train to your destination. This course will equip you with the knowledge of cross-border relations and other aspects of the Supply Chain.

The Supply Chain Analytics Certification at Imarticus will enhance your portfolio to secure a prospective job in the company. With an IIT certificate in Supply Chain Management, you can pursue a top career in roles such as Data scientist, Supply Planner, Supply and operations planner, and Demand Planner. With your basic understanding of operations management and programming, you can further excel in the various course segments. 

What makes IIT certification in Supply Chain Management special?

The course connects Supply Chain Management with Information technology tools such as Machine Learning, Blockchain, and Big Data Analytics. The 6 mega projects offered in the course will give a clear picture of the industry. 

We, at Imarticus, offer one-to-one mentorship with Industry experts who hail from top companies around the world. Our course will also allow you to connect with the multi-national network of professionals who work in the industry and own Logistics companies. This will offer you an opportunity to increase your network of connectivity and simultaneously gain skills from the experts. 

Why do you need Certification In Supply Chain Management?

Suppose you are a business professional who wants to upgrade your knowledge in Supply Chain Management and explore analytics. In that case, it is right to seek more as this course offers case studies that you can perhaps relate to your job. 

On the other hand, if you are a student who has a keen eye for creating sustainable supply chain solutions through data analytics, then this course would sharpen your skills. The course would enhance your potential and give you both theoretical and practical knowledge. 

Supply Chain Analytics Course Training will help you learn and experience the analytics role and the dynamics of SCM analytics. You will learn to work with SCM data and get practical exposure to analytics techniques and tools. On completion, you’ll have theoretical and practical skills to efficiently conduct analytics and optimisation to meet your organization’s SCM needs.

What kind of concepts would be covered in the course?

The course will help you understand the key role of analytics in Supply Chain Management and the current dynamics related to the industry. The course would give you a brief insight into Cognitive analytics, prescriptive analytics, predictive analytics, and Descriptive analytics.  

  • The Bullwhip-effect
  • Risk-pooling
  • Supply Chain Design 
  • Just-in-time Planning and Control
  • Supply Chain coordination 
  • Project management techniques
  • Real-time route optimization

If you have the right set of tools in the SCM and think that there is a lot to explore, then you simply have to visit here.

If you want to learn data science and machine learning, look no further

If you want to learn data science and machine learning, look no further

We all must be familiar with the terms data science and machine learning. These are the emerging technologies that are in high demand these days. They are the present and the future in a technologically-driven world, which is why most people opt for a career in these fields. If you’re a fresh graduate or someone who wants to elevate his career or is interested in starting a career in analytics, you have reached the right place. This article will discuss the reasons to go for a career in data science, different job roles, and the best data science course available.

Simply put, machine learning is the science of getting computers to learn and act like humans by feeding them information from the real world. Coming data science is the science that is used to process a huge volume of data using different tools, algorithms, and methods to discover hidden patterns in the raw data. These advanced technologies are not restricted to a specific area but are applicable in various fields, such as transportation, healthcare, finance, sales, and many more.

Why go for a data science and machine learning course?

  • High demand

The data science sector is highly employable and the fastest growing job market globally. It is predicted that data science will create 11.5 million jobs by 2026. The demand for data scientists is high in various industries, making it a versatile career option.

  • Eliminates boring tasks

The primary benefit of data science is the ease it has brought to operations by automating manual, cumbersome, and redundant tasks. Many industries benefit from these advanced technologies as they use historical data to train machines to perform repetitive functions in much less time.

  • Highly remunerative career

A certified data science and machine learning course paves the way for one of the most highly paid jobs. Glassdoor revealed that data scientists earn an average of $116,100 annually. Moreover, the abundance of opportunities available for people in various sectors makes it an appealing prospect.

  • Highly prestigious job

Businesses highly value data scientists as they help make smarter, data-driven decisions. They hold an essential say in companies as even the higher management relies on their expertise on some issues. They are highly reputed since they make more intelligent products, improving overall user experience.

  • Career growth

If you’re feeling stagnant in your job, a professional certification from a data science course can help grow your career exponentially. It will make you stand out among your competition and strengthen your profile. A study by Business Wire stated that a certified data science course led to a salary increase of 20% to 40%.

Job roles in data science and machine learning

A certified course in data science and machine learning is well-regarded and opens up plenty of opportunities for you in the form of the following job roles:

  • Data scientist
  • Data Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • Data Architect
  • Machine learning Engineer
  • Project Manager
  • Data Statistician

Anyone interested in data science and machine learning can enter the job market as a data scientist at any career stage. A background in Mathematics and statistics would be of great help. However, you can aspire to become a data scientist irrespective of your academic background and even if you’ve never written a code, with the help of your sheer commitment and proper guidance.

Imarticus Learning offers an excellent Certificate Program in Data Science and Machine learning for working professionals and anyone looking to kickstart his career. This certified course is built in collaboration with iHUB DivyaSampark, a technology innovation hub at IIT Roorkee.

This comprehensive program is easy to understand and prepared by the acclaimed IIT faculty and industry experts for early and mid-level professionals. Thus, it focuses on building a strong data science foundation and specializes in machine learning with Python for data-driven decision-making.

Some of the important features of this data science program are as follows:

  • Live online training will be imparted by renowned faculty of India from IIT Roorkee, IIT Guwahati, IIT Ropar, and industry experts.
  • A 5-month program designed to equip you with the proper knowledge to implement and apply data science concepts to real-world problems.
  • Opportunity to participate in 2-day campus immersion at iHUB DivyaSampark at IIT Roorkee.
  • Startup mentorship and funding support under the program.
  • Program coordinated by Dr. Balasubramanian Raman, the top data science and ML academician.
  • Certified collectively by IIT Roorkee and Imarticus Learning under the National Mission on Interdisciplinary Cyber-Physical Systems.

Check out the program in detail on our website. You can even connect to us through chat support or meet us in person at any of our nearby training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

How To Use Tableau To Improve Your Data Analysis Skills

How To Use Tableau To Improve Your Data Analysis Skills

Tableau is a data analysis tool that lets you create, analyze and share interactive dashboards. Thousands of organizations worldwide use it to visualize their data in a way that helps them make intelligent decisions. Tableau professionals use Tableau Desktop to build and manipulate charts and tables with point-and-click ease. 

An overview of Tableau

Tableau is an interactive, self-service reporting and analytics tool. Faculty and staff can access Tableau in a single Creator environment using Tableau Creator or through a shared dashboard.  It’s easy to use, but it’s also powerful enough for more advanced users.

Tableau helps you analyze your data by allowing you to connect all the elements of your business in one place so that everything from customer interactions to sales processes gets organized in one place.

 You can then use this information as part of reporting or decision-making processes at any level, from local to global organizations. You can use Tableau to create dashboards and visual representations of your data that help you understand its essential elements. 

How to create visualizations in Tableau?

A tableau is visualization software that allows you to create interactive and beautiful data visualizations. Tableau is an industry-leading cloud-based data analysis tool. It allows users to create complex charts, maps, and dashboards in minutes using their desktop or web browser. Users can also collaborate with other teams via webhooks so that everyone can view the same file simultaneously. 

Making Visuals in Tableau

Let’s start with actual Tableau data visualization.

  • Boolean: This type of data stores true and false.
  • Date/Datetime: This data type can facilitate Tableau’s built-in date hierarchy when used with legitimate date or DateTime fields.
  • Numbers: These values are numerical in nature. Values may be either floating-point numbers or integers (numbers with decimals).
  • String: A string is a group of letters or numbers enclosed in single or double quotation marks.
  • Geolocation: To plot maps, we need these values.

Tableau: A Better Way To Manage Business Data

Tableau is one of the best business intelligence (BI) tools for visualizing and analyzing data. It helps you make better decisions faster.

Tableau is great for:

  • Analyzing your data in Excel or another reporting tool
  • Reporting on websites and dashboards
  • Creating high-quality presentations and reports
  • Using Tableau to improve your data analysis skills will help you become a more valuable employee.

A tableau is a powerful tool; many features can help you become more efficient. 

Explore a career in data science with Imarticus Learning

 

online learning

With this Tableau online training, you can learn Tableau and receive a job offer. Create complex models and learn data analytics skills that produce vital business forecasts and insights by putting your new knowledge to practical use.

Course Benefits for Students:

  • The most widely used data science tools and methodologies, as well as data analytics and the fundamentals of machine learning, will be familiar to students.
  • To receive a data analytics certification course, students must complete 25 real-world projects and case studies directed by business partners.
  • Using a data analytics tool to display data is one of the most in-demand skills in the market. Therefore, recent graduates and those starting their careers might want to think about enrolling.

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

Why your supply chain model is likely to fail

Why your supply chain model is likely to fail

When managing your supply chain, the hardest part is often figuring out the suitable model. What’s the best way to ensure you get what you need and when you need it? How do you get the most value out of your supplier relationships? 

These are tough questions that every business owner faces at some point in time, but they don’t have to be complicated. That’s because each business has its unique needs and circumstances. 

To be successful at any level, you need to have a good supply chain model. Therefore, understanding what makes up a successful supply chain system is essential.

Optimizing for efficiency

Supply chain optimization is a strategic function that helps you to get the most out of your resources. It’s also a competitive advantage, business enabler, and source of differentiation.

Supply chain optimization allows you to:

  • Reduce cost (e.g., labor cost)
  • Enhance margins (e.g., transportation costs)
  • Improve quality (e.g., reducing waste through routing)

Viewing supply-chain management as a cost center

SCM is not just about cost reduction. It’s about optimizing the entire supply chain, from planning and forecasting to execution and delivery. If you view supply chain management as a departmental function, your organization will likely fail because it won’t have enough resources or personnel to run efficiently.

Suppose you want your business model to succeed over time. In that case, you need an integrated approach that includes everyone in your organization—from executives who manage budgets for products and services to frontline employees who deliver those goods or services.

Dismissing the importance of trust

The initial step in building a successful supply chain is to ensure that you have the right people in place. You will need to know who your suppliers are, what kind of product they produce, how reliably they can deliver it, and whether or not they will treat your customers well.

Not seeing your supply chain as a strategic asset

This can be a big problem because there are many ways in which improving supply chain performance can provide benefits beyond just cost savings and performance improvements:

  • It will improve customer experience through faster delivery times or reduced returns rate (which leads to greater customer loyalty).
  • It will make employees happier by giving them more time with customers, reducing anxiety about missing deadlines or changing orders as needed, and lowering stress levels for everyone involved!

The key takeaways are that each business needs to build a supply chain model based on its own unique needs and circumstances.

Explore a Career in Supply Chain Management with Imarticus Learning

best supply chain management and analytics courses

The best supply chain management certification course will help managers make strategic, operational, and tactical decisions. Prepare to contribute to the development of more tactical and inventive global supply chains in the future by combining traditional supply chain online courses with data-driven decision-making.

 Course Benefits For Learners:

  • Students are exposed to essential technologies, including six real-world projects, to thoroughly understand the industry and prepare them for a successful career.
  • Completing a supply chain planning allows students to prepare for highly sought-after jobs such as demand planners or data scientists!
  • Python will teach students how to be data-centric and improve supply chain decision-making.

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

Is pursuing a supply chain management career on your mind? Logistics and supply chain management courses can help

Is pursuing a supply chain management career on your mind? Logistics and supply chain management courses can help

A business is all about satisfying its customers with superior services and to do that the company needs a fluent supply chain network that works effectively. A well-managed supply chain is implemented for making the connection between the company and the supplier so efficient that it does not affect customer satisfaction. In simple language, a supply chain is for delivering the right service to the right person at the right time. 

Companies are always in high need of supply chain analysts and this indicates the urgency of the supply chain management course. You can also build a supply chain management career with Imarticus which has come up with their Professional Certification in Supply Chain Management Course. If you have no idea where to start, then this article can be the first step in the process of knowing the supply chain industry more intricately. 

Supply chain: Overview

A supply chain is a process that goes through multiple steps including the sourcing of raw materials, producing the product, and delivering the outcome to the users. It is a multiple-layered system that records all the details like activities done in each of the steps, information that is used, human resources that have been devised, and also the details of the natural resources that have been turned into useful components.

Why does a company need to understand a supply chain?

Indeed, this is an intricate process, but there must be some reason why companies need to understand the supply chain. The first reason is that it helps to reduce the company’s overall cost by analyzing all the steps of the supply chain. Any malfunction in one step can harm the overall chain and lead to cost more to the company. 

The other reason is that it helps to develop a strategic plan. A supply chain includes multiple steps and each of the steps belongs to a different industry, like raw material extraction, manufacturing the product, delivering the product, and so on. It helps the company to get ideas about these industries they may plan to enter in the upcoming future. So it is understandable why companies need expert supply chain analysts to grow their business. 

Career options in the supply chain industry

If you want to take up a supply chain management career then here are some options that you can match your expertise with.

Chief supply chain manager: A chief supply chain manager needs to possess an intricate understanding of the business he is involved with and also should have leadership skills. 

Supply chain manager: A supply chain manager is appointed to look after the entire supply chain operation and report it to the senior managers. 

 Purchasing manager: The purchasing manager’s role involves the duties like, managing a strategic purchasing process, evaluating pricing trends, looking after the relationship between the vendor and supplier, and many more.

Logistics manager: The responsibilities that a logistic manager has to perform are enhancing the product workflow, and negotiating the costs of suppliers, shippers, and distributors. 

Production manager: A production manager tracks the production process and makes sure that it does not exceed the budget and stipulated time limit. 

Many other options are going to come in the future because the supply chain industry is reportedly growing and to match the industry requirements, a supply chain management course can be the most effective thing.

Conclusion

With Imarticus Logistic management course you can get the opportunity to learn industry-related skills from the top IIT faculties. The curriculum is designed to help you get relevant skills, proper certification, monitoring, and the other facilities that are needed to become an industry specialist. 

The Rise of Data Science in India: Jobs, Salary & Career Paths in 2025

The Rise of Data Science in India: Jobs, Salary & Career Paths in 2025

Read on to find out about the increasing demand for Data Scientists in 2025 as per the latest study by Analytics India Magazine and Imarticus Learning.

Data science is in demand, with 80 percent of companies investing in it worldwide. Organizations widely adopt data science, machine learning, deep learning, and artificial intelligence in the current market scenario. That makes data science important in preparing for changing job markets.

Technology, healthcare, automobile, education, etc., use data science to get ahead in business. They explore unknown data, identify data patterns, and predict future trends.

India’s share in data science and analytics jobs worldwide has increased to 11.6 percent due to the digital transformation across domains. That makes data science a lucrative career.

What is data science?

Data science is a discipline that sizes, shapes, and analyses data. Machine learning in data science is a subset of data analysis. The field is primarily concerned with discovering patterns or making predictions from data. That is the reason businesses interpret data to make efficient decisions. 

Data science is a compatible career choice for people who want to pursue a professional career in dealing with data. It also provides opportunities for people with a business background to apply their knowledge from past jobs to solve problems in different fields of work.

Why should you choose data science as a career?

There are numerous advantages to pursuing a career in data science. We’ve compiled a list of reasons why you should opt for a career in data science and analytics.

A lot of work opportunities.

As we enter our second pandemic year, we have seen people laid off from renowned companies worldwide. Yet, data scientists are in high demand in workplaces and earn the highest median salary out of all the data science and artificial jobs. During the pandemic, the data science sector also saw a remarkable growth of 30.1 percent in April 2022. 

High-paying Salary

Whether you’re just starting in data science and artificial intelligence or have some experience, a competitive remuneration package is critical to your success.

Data science and machine learning job profiles are among the highest-paying job roles in the current market scenarios. 

As per the AIM and Imarticus learning report, India has seen a significant jump in the salary brackets. The number of jobs falling in more than 50 lakhs salary bracket has increased to 20 times. As a result, more professionals are opting for data science and machine learning courses.

Data Scientists are in demand

Data science has become an in-demand skill, and many organizations are adopting it. Data analytics has been adopted by nearly every industry on earth due to its ability to predict trends for customers and employees within the company itself.

From data scientists to data analysts to machine learning engineers, companies need them to apply data science in the company. With more companies adopting data science and more people learning about the potential, the demand for data scientists has been rising.

Easy Career Advancement

Data science is not only restricted to being a data scientist. You can also explore other branches like deep learning, machine learning, artificial intelligence, etc. Climbing up the ladder is easy if you deal with any data interpretation role. 

Extracting information from data is the foundation of taking important decisions in the company. So, when handling any data interpretation role, you play a vital role in strategic decision-making. That’s how you could quickly grow in different business functions and advance your career.

The scope of data science and machine learning is clear. High-paying jobs and career growth are appealing. Everything contributes to data science’s positive outcome, from the salary to job roles to growth. 

Undergraduates or even experienced professionals can learn data science, machine learning, or artificial intelligence by enrolling at an institute. 

You can register for Imarticus learning’s data science and machine learning course and can learn the concepts quickly.

Their program is designed to address industry-relevant learning needs and help professionals build successful careers in data science.

Download the full report here. 

What makes AI certification in 2022 different from previous technology certification courses?

What makes AI certification in 2022 different from previous technology certification courses?

In a nutshell, artificial intelligence is a technology that combines computer science with datasets and mathematical optimization in order to solve problems. These include machine learning and deep learning, which are usually referenced in combination with artificial intelligence.

Artificial intelligence techniques are used to develop expert systems that can predict or classify depending on input data. Possessing an AI certification in the year 2022 might just turn out to be an asset for you.

Impact of Artificial Intelligence on the World

online learning

The world we live in is increasingly being shaped by artificial intelligence. It is hard to overstate the importance of artificial intelligence (AI) in strengthening and transforming many businesses throughout the globe. It is becoming more commonplace for organizations and sectors throughout the world to be transformed by artificial intelligence.

Rather than being a vision for the future, the AI present is being used in a range of industries. Corporate finance, health care, transportation, and logistics all fall under this umbrella term.

  • Artificial Intelligence in Corporate Finance: Corporate finance is a great use case for artificial intelligence since it can better forecast and analyze the risk of loans. Artificial intelligence (AI) technology such as machine learning may help businesses raise their value by improving loan underwriting and decreasing financial risk. 
  • Artificial Intelligence in Healthcare: AI and medical technology have been attempting to decipher human speech for more than half a century. Speech recognition and text analysis are standard features in most NLP systems, as are translations between the two. There is a prevalent usage of NLP applications in healthcare to interpret and categorize clinical documents. Unstructured clinical notes may be analyzed using NLP systems, which can provide a wealth of information on patient quality, technique improvement, as well as improved outcomes for patients. 
  • Artificial Intelligence in Transportation: Autonomous transportation might be led by artificial intelligence, for example, to minimize the number of traffic accidents caused by human mistakes. AI has had a significant impact on the transportation industry, allowing for unprecedented degrees of collaboration amongst different road users. Automated vehicle technology is being researched and developed across the world by car manufacturers, technology companies, and research organizations. While some of these innovations are designed to supplement rather than replace human drivers in everyday tasks (such as parking), others are designed to take over all aspects of driving. 
  • Artificial Intelligence in Logistics: As a result of artificial intelligence revolutionizing warehouse activities such as data collection and inventory management, firms may gain efficiency and income. Anticipating customer demand, making changes to orders, and rerouting goods in transit are all possible using artificial intelligence. Using these forecasts, you may make changes to your orders and have the most in-demand items sent to nearby warehouses as required. Artificial intelligence can link warehouses in a supply chain to discover the most efficient method of transferring products.

Conclusion:

Having an AI certification in 2022 might turn out to be really beneficial for any candidate with a technical or non-technical background. A study by Gartner shows that the implementation of artificial intelligence in the industry has increased from 10 to 37 percent from 2015 to 2019 which has increased even more with the years passing by. 

Imarticus has come up with a post-graduate program in data analytics & machine learning that is all-inclusive of what you need to learn so that you eventually possess an artificial intelligence certification. Learn AI from Imarticus with the latest recommended AI tools and get certified in this domain within a time frame of just nine months.

Supply Chain Certification in India: Insight into the Big Data of Logistics and Supply Chain Management

Supply Chain Certification in India: Insight into the Big Data of Logistics and Supply Chain Management

Do you have a basic understanding of operations management and programming at your job? Are you a student looking to secure your future with an IIT supply chain management course

A certificate course in supply chain management from IIT-Roorkee, one of the best engineering and management institutes in India, is certain to pave the way forward for a career in global supply chain logistics and big data management. 

Why learn supply chain management?

Incidentally, the demand for specialization in supply chain management has increased manifold in recent times. Health and food supply chains, for example, have made a sudden, festering appearance with a need for interventions in maintenance. Along with this, temporary technological support at vulnerable sites and a revolution through big data programming and management are expected outcomes of the leaders born out of this training period. 

In the world of supply chain management, it’s essential to make data-driven decisions to ensure a seamless operational workflow. Since supply chain management and big data analytics is a specialist’s role, the demand for trained personnel has been steadily on the rise. The industry values professionals that can harness the power of data to minimize costs and predict customer behavior. 

A certificate course prepares you for exciting and high-demand profiles like Data Scientist and Supply and Operations Planner. Luckily, your search for an online supply chain management course to tackle emerging global problems is over with Imarticus’s Professional Certification in Supply Chain Management and Analytics

Why pick this course?

Imarticus Learning’s online course in supply chain management provides a convenient yet intensive training period for tomorrow’s industry professionals.

The course offers interactive lessons from the best professionals in programming and operations. Real-world and live supply chain management projects will make you future-ready, and an advanced curriculum will support an in-depth understanding of your domain. 

New-age curriculum and professional learning are the need of the hour for students looking to gain a competitive advantage. Live online training with IIT-Roorkee faculty and hands-on training with industry experts will get you there before your peers. 

Learning supply chain operations and management in depth at the IIT supply chain management course is as good as real-world experience in the global market. The IIT supply chain management course has been rated 4.85/5 by approximately 470 learners, making it a must for anyone looking to launch their programming career.

Course features

The certificate course in supply chain management has the following salient features: 

  • IIT-Roorkee faculty and industry experts 
  • Online classes for students and working engineers 
  • Certification in analytics with a specialization in supply chain logistics 
  • Advanced curriculum and hands-on SCM training 
  • Unique modules and in-depth, intensive curriculum and training

Benefits and Takeaways 

The Imarticus Professional Certification in Supply Chain Management and Analytics is a lifetime experience in learning from experts. The faculty will train you to act as catalysts of change and development in global supply chain management and logistics. The salient features to remember while applying are: 

  • A-grade training and facilities from IIT Roorkee 
  • Latest course content with field experience 
  • Multiple languages covered including Python 

Please contact chat support for further details about the course. You may also visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon, for a quick chat with our consultants. Hurry, the clock is ticking till the next deadline for the application for certification. 

Why IIT’s Artificial Intelligence programs are unmatched by those at other colleges

Why IIT’s Artificial Intelligence programs are unmatched by those at other colleges

The IITs’ Machine Learning and Artificial Intelligence courses are highly renowned due to their promising results. The course opens up several opportunities as it is utilised in the background of technology across various industries. Keeping in mind all the AI trends, all the branches of the Indian Institute of Technology offers these courses for every student across the nation who wishes to pursue AI.

The IITs have always provided us with groundbreaking research and talented alumni who have made waves in the domains of Artificial Intelligence (AI) and Machine Learning (ML). The Indian Institutes of Technology have started offering these programmes in collaboration with other premier institutes such as Imarticus Learning so that more interested students can have access to high-quality education. This will allow more individuals to gain skills in AI and ML.

Let us lightly touch upon why the domain of Artificial Intelligence is so essential to the modern world. We will then learn about what we can expect from the AI/ML programmes the IITs offer.

What is Artificial Intelligence?

Artificial Intelligence can be understood as the machine’s ability to display and perform human functions and capabilities, such as creativity, planning, learning, and reasoning. It is used mostly to establish viewpoints related to environmental problems, achievement of goals, and problem-solving techniques. The role of the computer is to gather information or prepare the data with the help of various sensors to create a response. 

Where is Artificial Intelligence used?

There are several zones where Artificial Intelligence and Machine Learning are offered. 

  • Advertising and online shopping: Personalised opinions and recommendations are widely propagated due to the usage of Artificial Intelligence. For instance, logistics, planning of inventories, and optimisation of products fall under this category.
  • Web Searching: Relevant search results are only possible due to magnificent work engines with the help of AI.
  • Digital Personal Assistants: AI has turned daily routines simpler by answering questions and offering relevant information. 
  • Machine Translations: This can be both in verbal and written format and is required to help with language translations. Automated subtitling can also be performed due to such AI properties.
  • Smart Homes, Infrastructures and Cities: These smart thermostats are considered to be energy-saving and developers are required to manage and control traffic jams along with improved connectivity.
  • Cars: Nowadays, it can be noticed that every car contains AI-power safety managerial functions. For example, automated sensors are required to detect accidents and dangerous situations. 
  • Cybersecurity: Used mostly against cyber attacks, the role of AI plays a necessary role to input data, recognise patterns and put on warnings. 
  • AI against the COVID-19 Pandemic: AI has been used in thermal imaging as well as thermal projections in various airports and so on. It has also been useful for medical purposes as the infection can be understood better from computerised lung scans. Sufficient data is being acquired to track down medical health issues with the help of AI.

Hence, this proves that Artificial Intelligence is required in every aspect to lead a better life in today’s world. 

What can we expect from IIT’s Artificial Intelligence Programs?

The IIT AI Course, compared to other colleges, offer learners with upskilled knowledge that can be applied across several industries. Imarticus Learning’s Certification in Artificial Intelligence and Machine Learning Course is designed along with the E&ICT Academy, industry leaders and the renowned IIT Guwahati.

Taking place for over 9 months, this program exhibits a practical understanding of machine learning and artificial intelligence. The course is taught by world-class professionals allowing a flexible learning journey as exhibited by NEP 2020. 

The unique part of this course is that it will teach you relevant skills that are necessary for various AI Deep Learning Projects, Business Projects and other AI-specific roles. Also, students can receive an exciting opportunity of a world-class campus education and interact with the peers and faculties of IIT Guwahati. Overall, it will be an enriching experience in terms of learning and a Machine Learning Certification for future job prospects.

Conclusion

Machine Learning and AI is a great discipline to study which has a wide scope. Hence, enrolling in the IIT’s  Machine Learning and Artificial Intelligence Course is proven to be more beneficial and can help to kickstart your career from the beginning itself.  The IITs are known for their excellent syllabus and faculty so a certification from this prestigious institute will surely provide you with an edge.