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Category: Management

Scaling the supply chain management: Giving technology its due.

Posted on by Imarticus Learning

Scaling the supply chain management: Giving technology its due

Supply chain management (SCM) has been one of the most important topics in the business world for years. As businesses have become more globalized, optimizing and streamlining supply chains has become more pressing. However, while SCM is a critical function for any business, it is also an area that needs to be addressed regarding technology investments.

Role of Technology in supply chain management for digital transformation.

Technology plays a vital role in today’s supply chain management as digital transformation becomes an increasing reality for businesses. Automation, data analytics, tracking, and collaboration tools are ways technology changes how supply chains operate.

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Digital transformation affects every aspect of business today, and the supply chain is no exception. To stay competitive, companies must embrace new technologies that can help them streamline their operations and improve efficiencies. One of the most critical aspects of this is data analytics.

Data analytics allows businesses to track their inventory levels, production rates, shipping times, and more in real time. This information is critical for making decisions about where to allocate resources and how to optimize the supply chain. In addition, data analytics can help businesses predict future demand trends and anticipate potential problems further down the line.

Another key area where technology is having an impact is collaboration tools. To effectively manage a supply chain, businesses need to be able to communicate and collaborate seamlessly. This is often easier said than done, but various software platforms now allow businesses to share information and work together more efficiently.

Technology is also changing the way shipments are tracked throughout the supply chain. GPS tracking devices attached to loads allow businesses to monitor their real-time progress and identify potential delays. This information can then be used to adjust the route or schedule if necessary.

Benefits of using technology for SCM?

Technology has revolutionized the way businesses operate and manage their supply chains. In the past, supply chain management was a manually intensive process that was often error-prone and inefficient. However, with the advent of new technologies, businesses have been able to automate many of the processes involved in managing their supply chains. This has significantly improved the supply chain’s accuracy, efficiency, and visibility.

Implementing technology solutions has dramatically reduced costs, which is very valuable for businesses.

How can Supply chain management course with Analytics help make a career?

A career in supply chain management is demanding and challenging, but it can be gratifying. A successful career in this field requires strong analytical skills and business acumen.

A supply chain management course with analytics can help you develop the skills you need to be successful in this field. The course will teach you how to use data to identify trends and optimize the supply chain. You will also learn how to manage risk and create plans for dealing with disruptions.

After completing the course, you will be well-prepared to enter the workforce or advance your career in supply chain management. With the knowledge and skills you’ve acquired, you’ll be able to impact your organization’s bottom line positively.

Learn and grow with Imarticus Learning

The Professional Certification in Supply Chain Management and Analytics from Imarticus Learning will prepare you for high-demand job roles such as Demand Planner, Data Scientist, or Operations Planning Manager. This IIT Roorkee supply chain management course prepares you to become supply chain analyst and attain skillset by providing the cutting-edge experience necessary due to the shortage of professionals with process & analytics talents in today’s industry landscape.

Course USPs:

Master SCM skills in analytics through with cutting-edge curriculum designed by IIT Roorkee. 

Learn from the best faculties in India through live online sessions and discussions.

The course offers a campus Immersion module at IIT Roorkee. This allows interaction with peers and faculty from the IIT campus.

Learn to solve complex problems demanding a thorough understanding of concepts, mastery over skills & knowledge of the business context.

Participate in building smarter, strategic, and tactical global Supply Chains of the future by combining traditional Supply Chain techniques and overlaying them with data-centric decision-making.

For further details, contact the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Automatically Summarise Your Emails with Natural Language Processing

Posted on by Imarticus Learning

Automatically Summarise Your Emails with Natural Language Processing

With the rise of Artificial Intelligence and Machine Learning, several new technologies are coming to the fore. Out of these new applications, Natural Language Processing (NLP) is one of the most popular parts of AI and ML technology. It is the new buzzword, and many companies are investing in its implementation.

But what is NLP? It is a process that helps break down human language and meaningfully interpret it. It forms the core of many software applications you use daily. It is making a real difference in summarising emails. But, it has far greater usage, and you can learn all about it here.

Translation software, grammar correction software, chatbots, spam filters, voice assistants and search engines, every software app mentioned here uses NLP to understand the text better. It is also used for several data analyst training apps.  

How does NLP work?

NLP works by following a simple process, which consists of two basic steps. The first step is the training that comprises text vectorisation. In this process, the text or voice is converted into a form that the machine can understand. This is carried out with the help of various NLP tools. After that, ML training algorithms are fed this data to train as per requirement and generate output data or tags. The machines build the statistical models to train their knowledge bank. All text features are extracted and fed into the ML algorithm.

Then this data is fed into the next stage after the training stage. It is called the prediction stage, where the text is then processed in the classifier model. The data from the text is segregated, and then the output is extracted.

What can natural language processing help you in doing?

From all the above apps, you have a clear idea of what NLP can help us do. But NLP is not limited to that only. It can help us to do a lot of other things as well. It combines the power of computer science and linguistics for performing various technology-related actions. If you have been using Cortana, Siri or Alexa, then you might clearly understand what text-based technology can do. After using the voice input, it can convert it into text and then use it for:

  • Transcription
  • Translating one language to another language
  • Training ML models for another task

Other secondary and tertiary tasks can be done with natural language processing. NLP is taught as a part of the analytics and machine learning course. In today’s market, it is in demand and generating employment rapidly. Software developers and data analysts who understand AI and ML can make full use of knowing NLP. You can earn a lot by simply using your NLP skills in the market.

How can you automatically summarise your emails with the help of NLP? 

Email filtering and email summarisation can be easily performed with the help of NLP. The text is extracted, and then a piece of summarising content or snippet is searched. If that is not present, automatic paraphrasing is done, and new sentences are introduced, which can automatically summarise the email. This technique is also helpful and used in data entry of e-commerce websites, and the descriptions are summarised on the main display page of the website.

Another use of natural language processing is a shocking and simple one. It is not worth missing because it is so basic yet advantageous. It is your email inbox. Have you seen the spam folder containing all promotional emails and useless messages? Email services can filter out spam messages by using NLP to filter them out.

Are there any other advantages of NLP?

Yes, due to the advent in the field of Artificial Intelligence and Machine Learning, NLP can be used in the following:

  • Performing large-scale analysis

NLP helps to resolve issues of news reports by analysing fake news. It can also help handle customer tickets by prioritising the important ones over the less important ones. It also helps filter and match social media comments to specific profiles and block out profane ones.

  • Automate the real-time processes

NLP is vital in building automated tools with little or no human supervision or interaction. It can perform these actions all around the clock without stopping at any time. It has been used rampantly in all the fields involving virtual avatars, in the content industry and in movies.

  • Customising voice and text-enabled software

You can tailor AI software by customising natural language processing to suit your needs. These can be used to produce and filter human-like emotions from the given datasets.

With NLP and creativity, you can do anything you want. All you need to do is find how NLP can aid you in simplifying and automating various processes.

To sum up, NLP is helping to streamline different processes and summarising emails is one of the main areas. Now, if you are intrigued by the whole technology and how it is making a difference, you can learn more about it by enrolling in data analytics and machine learning courses offered by Imarticus Learning. You can check out the PG program in ML and AI that covers the fundamentals of the field and prepare you for the professional life ahead. 

Learn the top 5 data science and machine learning hacks.

Posted on by Imarticus Learning

Learn the top 5 data science and machine learning hacks

It is clear that the world is moving towards machine learning and data science technology. The demand for machine learning professionals has skyrocketed in the last few years. To stay ahead of the competition and secure your future, it pays to know some of the most valuable machine learning/data science hacks that can help you succeed.

And one of the ideal ways to learn these machine-learning hacks is through machine-learning certification courses. These courses provide a comprehensive overview of machine learning and data science concepts and techniques, giving you the knowledge and skills to use machine learning in multiple scenarios. 

Moreover, the good thing about machine learning certification courses is that they are available online, so you don’t have to leave your home or office to attend them. You just have to enroll in one of these courses and start learning machine-learning hacks with ease.

So, what are some of the machine-learning hacks you can learn through machine-learning certification courses? 

Well, here are the top five machine learning and data science hacks that you should consider learning:

Understand Machine learning frameworks:
It’s true that without a machine learning framework, machine learning will not be able to execute. So, you should have an in-depth understanding of machine learning frameworks. Also, explore machine learning algorithms and work on hands-on machine learning projects to gain an in-depth understanding of machine learning.

Experiment with data:
Data is an essential component in machine learning. So, experiment with different types of data like text data, image data, audio data, etc., to get a better understanding of how machine learning works. And try to use data from different sources to get insights into machine learning. You can also use data visualization tools to explore data.

Creative thinking:
Machine learning is all about creativity. Think out of the box and fill up your mind with creative ideas to solve machine learning problems. These creative ideas can be applied to build machine learning models or improve machine learning accuracy.

Get practical experience:
Machine learning can be learned through theoretical courses, but that doesn’t make you an expert. You need to have practical experience in machine learning and data science projects to become an expert. So, enroll in data science online training programs from reputed organizations.

Knowledge of Statistics:
To understand machine learning and data science, you need to have a good grasp of statistics. You should know the basics of descriptive and inferential statistics for machine learning applications. Furthermore, gain an understanding of machine learning accuracy measures such as precision and recall.

These are the top 5 machine learning and data science hacks that will help you build a successful machine learning career. With these tips in mind, you can become an expert machine-learning engineer and get ready to take on complex machine-learning projects! 

Discover Data Science and machine learning certification courses with Imarticus Learning.

With this IIT Roorkee data science and machine learning course, students can lay the foundations for their data science careers. The curriculum will provide them with an understanding of data science and machine learning principles, along with the ability to apply these concepts practically.

 Course Benefits For Learners:

  • This five-month course, developed by IIT faculty members to help students understand data mining and machine learning methodologies, introduces them to Python.
  • This certification course is taught by subject matter experts and provides students with the opportunity to learn machine learning algorithms.
  • By enrolling in our online program, students can set themselves up for success in data science.

 Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch with us via chat support.

Imarticus Learning’s supply chain management course. The foundation of your successful supply chain management career.

Posted on by Imarticus Learning

A supply chain is a network of facilities and distribution options that starts with producing goods and ends with the delivery to the final customer. The main aim of supply chain management (SCM) is to reduce inventory costs while maintaining high levels of customer service. To manage a supply chain effectively, you need to have a strong understanding of how each link in the chain works together. You also need to know the latest trends and developments in SCM. The Imarticus Learning supply chain management course is designed to give you a comprehensive overview of SCM, from strategy and planning to execution and control. By the end of the period, you will have all the knowledge and skills you need to build a successful career in SCM.

What is Supply chain management? Scope of growth of the Supply Chain Management industry

Supply chain management (SCM) is the process of planning, executing, and controlling the supply chain’s operations to ensure customer satisfaction and achieve a competitive advantage.

The scope of supply chain management has grown in recent years as businesses have become more global and complex. The industry is expected to grow as companies look for ways to improve their operations and increase their competitiveness.

Who is a Supply Chain Manager? Tasks and Duties of Supply Chain Managers

A supply chain manager is a professional responsible for coordinating and managing the various activities and resources involved in the movement of goods or services from supplier to customer.

The main tasks and duties of a supply chain manager include the following:

– Planning and developing strategies for the efficient and effective movement of goods or services from supplier to customer.

– Coordinating and managing the activities of all the stakeholders involved in the supply chain, such as suppliers, manufacturers, logistics providers, etc.

– ensuring that all processes in the supply chain are running smoothly and efficiently.

– Monitoring performance indicators such as cost, quality, delivery, etc., and taking corrective actions as required.

– Identifying opportunities for improvement in the supply chain and implementing solutions to address them.

How can a supply chain management course with analytics help you establish a career in Supply Chain Management?

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A supply chain management course with analytics can help you establish a career in Supply Chain Management by teaching you how to manage and optimize the supply chain effectively. The course will cover topics such as supply chain planning, execution, and control; transportation management; inventory management; warehousing and distribution; and customer service. In addition, the course will provide you with the skills and knowledge necessary to use analytics to improve decision-making in the supply chain.

Learn and Grow with Imarticus Learning!

The Professional Certification in Supply Chain Management and Analytics is an innovative program designed by CEC, IIT Roorkee, and industry leaders to provide a cutting-edge experience that can help launch your career into operations.

Supply Chain Analytics empowers decision-makers with data-driven insights to make strategic, operational, and tactical decisions. The certification prepares you for high-demand job roles such as Demand Planner or Data Scientist. Your process expertise will be invaluable with another talent with a robust analytics background.

Course USPs:

  • Learn Job-Relevant Skills
  • IIT Roorkee supply chain management course certification
  • Learn from IIT Faculty
  • Get Mentored by Industry Experts
  • Certifications for supply chain professionals
  • Campus immersion at IIT Roorkee
  • Curriculum designed by CEC, IIT Roorkee

With the ever-increasing trend of e-commerce, you need to be prepared for a change. This six-month program will help prepare students with what they’ll face in their future careers as those who work or plan on working within SCM industries such as Amazon and Walmart start implementing this technology more widely across all departments internally too. With this course you have a great scope to prepare and make a career in Supply Chain Management. 

For further details, contact the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Related Articles 

How Supply Chain Analytics Help Managers Predict Future Demands 

A look at sustainable supply chain management roles for 2023

Posted on by Imarticus Learning

A look at sustainable supply chain management roles for 2023

The rapid growth in technologies has remarkably changed the face of supply chain management. Over the last two decades, it has seen enormous growth and the future is likely to be more prosperous and promising. Hence, becoming a supply chain analyst in the upcoming time is one of the booming career paths.

In today’s times, innovation has a great role to play in sustainability in supply chain management. Along with this, there will be more focus on sustainability to uphold environmental and societal values. Therefore, trends like the circular economy come into action. As per this, the company will build products to have a less environmental footprint and products will be long lasting as well as reusable. To complement this trend, companies can use data drive supply chains to leverage cloud-based supply chains that will provide detailed analytics. This gives a deeper understanding of business operations, and so, one can make strategies depending on them to be more sustainable in the future. To get in-depth knowledge about this, one must pursue a supply chain management course with analytics. 

Now let us take a quick look at the meaning of sustainable supply chain management. Further, we will discuss the opportunities that the field offers in 2023. 

Sustainable Supply Chain Management

Sustainability is the addition to the entire supply chain management system which addresses global issues like climate change, deforestation, human rights, and many more. 

Nowadays, businesses are getting more considerate about the environment around them. Thus, they are taking steps to lower their carbon emissions and enhance the waste management system. 

Through sustainable supply chain management, organisations can make a huge difference in their business operations.  

Sustainable Supply Chain Management Roles

best supply chain management and analytics courses

One can have a booming career path in sustainable supply chain management. In order to opt for such a job role, one needs to pursue beneficial courses like the IIT Roorkee supply chain management course. 

Now, let’s jump on to the roles that 2023 offers, in the field of sustainable supply chain management. 

 

  • Logistics Manager

 

In brief, the role of a logistics manager is to monitor the supply chain throughout the entire process. He is responsible for organising, storing and distributing goods from the place of supply to their destination. Nowadays, automation has made this job role far more interesting to handle. It has made late-stage custom packaging easier than ever. Besides that, now you can plan and deliver the shipment over any channel like Uber, and even by drones. Along with this innovation in the job, it is customer satisfaction that will help the business grow. 

 

  • Sustainability Leader

 

Sustainability in business operations is one thing that the world needs. It has been in use for quite a long time but with better technologies, its impact has come to notice. For example, newer technologies like automation bring out precision, and AI coupled with machine learning monitors resource consumption. As a result, resource utilisation is at its optimum level and benefits the organisation in the long run. Further, it also strengthens the financial impact of the business operations. 

 

  • Demand Planning Manager

 

The demand planning manager bridges the gap between the business and its customers. He becomes a commercial troubleshooter that is empowered to solve issues like demand-supply balancing problems. He also analyses the problems that have arisen at transaction levels. This way one can evolve in their career path as well, from demand planning to business creation. With newer automation technologies, the demand planner will get acquainted with cloud-based planning systems and learning algorithms.

 

  • Production Planner

 

In this job role, the production planner takes care of the production unit and looks at the bigger picture for the company. He predicts the level of manufacturing, keeping in mind the predictions for sales and other company goals. He takes care of various actions such as creating a production plan, and grouping products into product families. As a result, it turns one into a master craftsman. While managing all of these, they become one of the essential factors behind the profitability of the business. 

Conclusion

While managing one of the most important functions of a business, there are several challenges that one needs to tackle. To run smoothly during rough times, it is essential to be trained in a particular way that prepares you for real-world problems. 

To become a supply chain analyst with all the needed skill-set and knowledge, one must pursue a supply chain management course with analytics. It will not only build you into a professional but prepare you for the future as well. Attending the IIT Roorkee supply chain management course will transform you into an asset that can benefit a business in the long run in the future. 

Developing and gaining skills as per technological advancements makes one stay in the business for a longer time.  

Introduction To Machine Learning Course with GitHub and Creative-AI

Posted on by Imarticus Learning

The popularity of AI and ML has skyrocketed in recent years, and the domain has seen significant investment to meet its rising demands and take the technology forward. As a result of this, employment opportunities have opened up, and candidates from various fields are now getting into this domain.

In this regard, having an AI certification from any leading institution can be of great help to you, and it will open up new opportunities for you. So, read on to learn more about it.

What are GitHub and Creative-AI?

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Talking about the artificial intelligence and machine learning course, there are two tools that you should have a great grasp on, GitHub and Creative-AI. The reason is their popularity and wide range of usability.

GitHub

GitHub is an online repository tool software developers use to store project codes and databases, track the code, and collaborate with other developers on projects. This way, GitHub makes life easier for developers when sharing big files of code, and there is no requirement for zip-packing the files.

On the other hand, in the case of collaborating on open-source projects with fellow developers, it is quite simple and easy. GitHub also serves as a social network for developers to network, meet and collaborate with fellow developers, and pitch their online portfolio to prospective employers or business owners. 

An interesting part of GitHub is the portfolio display feature. GitHub allows developers to host their projects on the platform and see whether the code is in working order. For that, you don’t need to pay and upload your code on paid hosting services.

Creative-AI

It is the simulation of creativity in machines using the help of Generative Adversarial Networks (GANs). It uses the power of AI and ML to create two neural networks that, when pitted against each other, give a nearly-accurate result. In other words, from an original dataset, you can create a new dataset that is almost the same but with a few minor differences. That means you can create new music, images, audio and video output from the existing content input.  

What are the advantages of understanding GitHub?

Since GitHub is an internet hosting service –cum-repository, it has certain advantages in strengthening your resume as a software developer:  

  • You can show your coding prowess to others

Since you have been storing your entire code on the platform, it is easier to show employers and developers your ability to read and write code. Machine Learning is all about being able to pitch your ideas in front of people, be it an employer or a stakeholder. Also, it shows that you have the true mindset of a seasoned developer who is willing to improve their code since you have put it on a public platform. If you are a bit open-minded and can accept feedback, then you are one of the best candidates to get hired. Who knows, you might not have to begin at entry level, and you might get a direct entry as a mid-level developer.

  • It reflects that you are a team player

More than the programming skills, what is valued in an enterprise is the capability to collaborate. Several developers meet and sit down to ponder on a project and improve the functionality of a piece of software. Artificial Intelligence and Machine Learning are all about collaboration. Organisations value this aspect a lot; therefore, GitHub adds an edge to your resume.

  • Most of the Machine Learning projects require open-source code

And that is where GitHub is one of the most helpful tools. Not only are there hordes of repositories which consist of machine-learning algorithms and code from all over the world. Many developers have contributed to it and worked on it to enhance the code. So, you are saved from a lot of work as you might not have to start a machine learning project from scratch. If you start from zero, it is very difficult and time-consuming to create and train an ML model. Also, you get to use the wisdom and skills of talented developers because of open-source projects on GitHub.  

How will Creative-AI benefit you in your career?

It is extremely beneficial for AI and ML developers to possess knowledge of Creative-AI, especially if they are inclined towards fine arts and artistic fields. Music, illustrative arts and video content creation or any other form of media creation and editing requires AI and ML professionals. These professionals need to have Creative AI on their resumes, and it is a must-have. Google, Facebook, and some top gaming companies have many openings for people with tech and art skills in this field.

So, you can see that understanding GitHub and Creative-AI can work wonders in your career as an AI and ML developer. However, the question is where to get the knowledge of these two tools from. In that case, you can consider an IIT artificial intelligence course.

And for that, you can look at the Certificate Program in Data Science and Machine Learning from IIT Roorkee in partnership with Imarticus Learning. It will help you get the required knowledge and ensure that you receive the placement as you move forward.

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Artificial Intelligence And Machine Learning: Top Courses, Skills, Salaries And Careers

How is data science changing the world?

Posted on by Imarticus Learning

The popularity of data science boomed in the post-2010 period. It has been there for years. Most of the people who have versatile skills have been at work with it for years. But where were they lagging? The speed of the computers was one of the areas where development was still required. The second area where they required a bit of initiative was with the type of apps that were being created. Slowly, with the help of better processors, which were also very quick and had good computation capability, we were able to make a breakthrough in AI and ML. This was extremely beneficial from the view of data science and analytics as well. Companies also understood the importance of collecting user data. They had started in the 1990s, but it was only now that we could see the results. The FAANG companies’ success is living proof of that.

There’s a big scope for analytics in big data as it finds many applications in this domain. According to Jeff Bezos and Mark Cuban, analytics will be a big player in the coming decade, especially in e-commerce. The increased use of machine learning in analytics systems could use the precious personal data of the customers that companies collect to give purchasing suggestions has miraculously transformed the shopping experience. Not only that, social media giants such as Facebook, and Twitter, along with various dating apps, are also utilising user data to optimise the media feed posts or potentially match people on their systems.

What are the various job roles in the field of data science?

Here are some job roles that you will be eligible for with data analyst training –

  • Data Architect

The responsibility of data architects is to create a database system(s) and then maintain it for the preparation and processing of analysing data. To understand and develop the database system’s architecture, they must first comprehend the process of building models. Then they have to use machine learning techniques for wrangling raw and unstructured data into a more usable form. For this, you need to know the highest level of python and database coding. An average data architect could earn anything in the range of ₹12,50,000 – ₹20,00,000 annually.

  • Machine Learning Engineers

Machine learning engineers have to rely a lot on software engineering backgrounds. So, they need to know the basics of coding, data structures, algorithms, and a lot about being able to know about self-learning and unsupervised learning systems. Their main job is to make a computer learn independently from the data and the observation. They help in the development of Machine Learning models which can perform a specific action but involve the gathering of data primarily. They need to have advanced knowledge about such data interpreting models, focusing on statistical computing, data visualisation and data mining. Machine learning engineers can expect a salary of around ₹12,50,000 – ₹20,00,000 annually.

  • Data Scientist

Data scientists have responsibilities like using data analytics tools to extract the information from the gathered data sets and inferring them to make better decisions. Currently, they are required in every industry, and businesses hire such professionals to make business decisions that can amplify their organisations’ growth.

Data scientists also need to know about machine learning. Still, they also require visualisation tools like Tableau or various graphical libraries of Python to process the information to arrive at a decision. In India, the average salary of data scientists is somewhere between ₹8,00,000 – ₹20,00,000 annually.

Opportunity In a Changing World: Data Analytics Course with Placement

Data Analytics is one of the best careers in the present times. To tell the truth, it is highly beneficial because it teaches you two of the most important skills that you will need in the future. The first is knowing how to analyse the data and have an insight into something with its help. The second skill is coding which is so important in today’s time. Beyond 2022, these two skills will pay dividends, both in terms of monetary benefits and their use in the real world. Therefore, one needs to have data analyst training if he/she is interested in building a career in a growing sector.

What do you need to study to become a data analyst?

A PG in data analytics would be the appropriate certification. This certification should cover R or Python for interpreting the data into graphs. Make sure you pick up the relevant libraries. SAS could also be helpful for statistics. Then if you want to enter the field of Big Data, Apache Hadoop could also be relevant to Data Analysts. Tableau and Excel are a must for analytics because of the various tools that come with the package.

Imarticus Learning offers the best data analytics course with placement. With the help of this course, you can now explore the world of data analysis with the help of industry experts and gain knowledge on the nits and grits of this field. Also, this PG course in data analytics and machine learning assures placement.

To sum up, hopefully, you have received an outlook on how the world of data analytics is emerging and what the future holds for this domain. Also, how completing the data analyst training can help you adjust to this changing world and supports your career in the coming years. 

Think Bigger. Think PG Data Analytics

Posted on by Imarticus Learning

Think Bigger. Think PG Data Analytics

Growing and adapting to change is one way to stay ahead of the curve. Thinking big is another way. And then there’s data analytics. 

Data analytics is the process of collecting, analyzing, and using data to make better decisions. It’s an essential tool for businesses of all sizes, but it’s often underutilized. 

That’s because many businesses don’t realize the potential that data analytics has to offer. They see data analytics as a cost-cutting measure or a way to improve efficiency, but they don’t see it as a way to generate new revenue or drive growth.

Here’s why:

  • Data Analytics Can Help You Make Better Decisions 

First, you should think bigger about data analytics because it can help you make better decisions. This is because data analytics gives you access to insights you wouldn’t otherwise have.  

For example, let’s say you’re trying to decide whether to enter a new market. You could use data analytics to research the market and understand the needs of potential customers. You could also use data analytics to track your competitors and see how they’re doing in that market. 

With this information, you can make a more informed decision about whether or not entering the new market is the right move for your business. 

  • Data Analytics Can Help You Generate New Revenue 

Second, you should think more about data analytics because it can help you generate new revenue streams. This is because data analytics allows you to identify new revenue-generation opportunities. 

For example, let’s say you sell products on your website, but you notice that most visitors don’t purchase anything from you. However, you notice that many people are visiting your website from mobile devices. 

You could use data analytics to understand why people aren’t buying from you and then make changes to your website so that more people complete purchases. Or, you could use data analytics to develop a mobile app so people can purchase your products on their mobile devices. In either case, you can advance your company by thinking creatively and utilizing data analytics to create new sources of income.

  • Data Analytics Can Help You Improve Your Bottom Line 

In today’s business world, data is king. By understanding your data, you can gain valuable insights into your customers, operations, and overall performance. However, sifting through all of this data can be a daunting task. 

That’s where data analytics comes in. It is the process of extracting meaning from data. By analyzing your data, you can identify patterns and trends that can help you improve your bottom line. 

For example, you might use data analytics to track customer behavior, optimize your marketing campaigns, or streamline your operations. The possibilities are endless. So if you are searching for a way to give your business a competitive edge, don’t underestimate the power of data analytics.

Data Analytics offers insights that lead to improved decision-making skills for businesses which in turn helps them optimize their productivity. Identify which areas need improvement revenue-wise within their company, thus helping them maximize their profits! 

Discover PG in data analytics with Imarticus Learning

 You might be able to find employment at Tableau with the aid of this data analyst training. Create complex models using data science to produce vital business forecasts and insights using what you’ve learned.

Course Benefits for Students:

  • Students will be familiar with the most common data science methodologies and tools and the fundamentals of data analytics and machine learning.
  • Students who complete 25 real-world projects and case studies under the guidance of business partners will receive a data analytics course with placement. The Data Analytics and machine learning course is an intensive program that will teach you how to use data analytics to solve real-world problems.
  • One of the most in-demand skills on the market is the capacity to display data using a data analytics tool.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch via the chat support system.

Work smart, not hard: Enrol for an online IIT Roorkee online data science course.

Posted on by Imarticus Learning

Work smart, not hard: Enrol for an online IIT Roorkee online data science course

No doubt. Data science is a great career choice. The data scientist role is one of the trending jobs in the market today, and the demand for skilled data scientists is only increasing. However, becoming a data scientist is not an easy task. It requires hard work, dedication, and, most importantly, the right skill set.

One of the ideal choices to acquire the skillset is to enroll in an online data science course offered by IIT Roorkee. IIT Roorkee is one of the leading technical institutes in India and is known for its excellent data science program.

In this post, we will cover the skillset you will learn in the data science course as well as the benefits of enrolling in such a course. So, if you are looking to take your data science career to the next level, read on!

What skills will you learn in the IIT data science course?

The data science course offered by IIT Roorkee is designed to give you a solid foundation in data science concepts and methodology. You will learn about data wrangling, data visualization, predictive modeling, and machine learning. In addition, you will also get exposure to big data, which is an essential skill for any data scientist.

Apart from this, the data science course is hands-on and practical. You will work on real-world data sets and learn to use popular data science tools and techniques. This will give you the confidence and skillset required to tackle any data science problem.

Benefits of taking the data science course

There are numerous benefits to enrolling in an online data science course.

  • The data science course will improve your skillset and make you more attractive to employers. Not only will you be up-to-date with the latest data science tools and techniques, but you will also have a portfolio of data science projects to show.

  • The data science course will give you a chance to network with other data science professionals. This is a great way to learn from others and make valuable connections in the data science community.

  • The data science course is an investment in your future. By acquiring the skillset, you will be positioning yourself for a successful and rewarding career.

  • The data science course is flexible and convenient. You can study accordingly and complete the course at a time that suits you. This makes it an ideal option for busy professionals who want to upskill without having to sacrifice their work or family commitments.

  • The data science course is an ideal way to get started in data science. If you are a beginner to data science, the course will give you the foundation you need to start your data science journey.

So, if you are looking to take your data science career to the next level, we recommend enrolling in IIT Roorkee data science online course. With its excellent data science program, you will acquire the skillset you need to become a successful data scientist.

Discover Data Science and machine learning courses with Imarticus Learning

Students can launch their data scientist careers with this certificate program in artificial intelligence, data science, and machine learning. The curriculum covers the fundamentals of these subjects as well as practical applications for real-world use cases.

Course Benefits For Learners:

  • This five-month IIT Roorkee data science and machine learning course will equip learners with the skills to work as data scientists.
  • India’s best teachers or you can say, experts, will deliver this data science course live online.
  • Students can lay a solid foundation in data science with our online course.

 Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch with us via chat support.

IIT Roorkee does it again. This time it’s a data science and machine learning course

Posted on by Imarticus Learning

IIT Roorkee has announced a new Data Science and Machine Learning Certificate Program. This program aims to provide students with hands-on training in data science, machine learning techniques, and domain-specific applications using Python.

The increasing importance of Data Science And Machine Learning

Data science is a hot topic in the industry and has increased over the past few years. Data Science is a method for extracting only significant insights from a vast amount of data by combining statistics, scientific principles, and algorithms. It is an interdisciplinary field with a solid foundation in business, computer science, statistics, and mathematics.

Machine learning aids in developing new products and provides businesses with a view of trends in consumer behavior and operational business patterns. In many of today’s top companies, including Facebook, Google, and Uber, a considerable portion of the operations revolve around machine learning.

Data scientists use their skills to solve problems with data and make predictions about how people will behave through this information. They build models that can tell them what will happen next (like predicting gun violence), or they build tools that allow you to quickly analyze large amounts of data (like Google Analytics).

Data scientist positions are available across many industries because they require expertise in different areas — including software engineering, machine learning algorithms design & implementation, mathematics & statistics education research methodology. 

IIT Roorkee Launches A New Programme In Data Science And Machine Learning

Data science and machine learning are two sides of the same coin. They are both a subset of computer science but have different focuses. Data scientists use algorithms to analyze large amounts of data, while machine learning experts develop algorithms that automatically learn from previous experiences and make predictions based on those experiences. 

In this course, students will learn how to build machine learning models using Python programming language (the most popular language for data scientists). 

The iHUB DivyaSampark at IIT-Roorkee and Imarticus Learning have jointly launched a certificate program in data science and machine learning (ML). After passing the course, students can consider careers as data analysts, managers, data scientists, business analysts, business intelligence specialists, and consultants in data analytics. 

Additionally, iHUB DivyaSampark will provide a platform for Data Science and Machine Learning enthusiasts and students to present their start-up concepts and request financial support. The course concludes with a campus immersion module.

Explore A career in Data Science with Imarticus Learning.

credit risk course

With the help of this certificate program in data science and machine learning, students can launch their data science careers. Through this data science online training, students will learn the fundamentals of data science and machine learning as well as the skills and knowledge necessary to apply these ideas in the real world.

Course Benefits For Learners:

  • This five-month program, designed by IIT faculty members, will teach students how to use Python to understand data mining and machine learning methodologies.
  • Leading academics from India will instruct this online data science certification course.
  • Our IIT data science certification course will help students build a strong foundation in data science and Machine Learning.

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

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