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The golden rules to build a supply chain management career from a pro

Posted on by Imarticus Learning

The golden rules to build a supply chain management career from a pro

The supply chain deals with the flow of products into and out of the manufacturing process. The supply chain management stayed flexible even when others shut down during the pandemic. Several challenges, such challenges climate change, wars, and other conflicts, have changed how the supply chain works. It has become essential that the supply chain is created to be elastic enough to maintain the supply flow. You can opt for theory-based university courses to build a supply chain management career or choose an up-to-date course from Imarticus learning and learn from industry experts right at your home.

So, What are the golden rules for building a flexible supply chain?

1.     Planning

2.     Collaborate

3.     Create values

4.     Networking

5.     Automation

Proper planning for designing an efficient logistics system

Planning is a vital nerve for the supply chain management operation. Each company should plan before making any significant changes in its business pattern. The operations team should ensure that there is no vulnerable link, giving the whole logistics view a better overview and pointing out the vulnerable or weak areas of the chain. You can focus on managing weak points and profit maximisation. It allows you to gear up for unforeseen situations and execute an emergency plan to keep the supply chain on track.

Collaboration is key

No supply chain can work solely built on single-origin resources. You must design a logistics chain that relies on others providing resources or services to you. These trusted third-party connections could help avoid disruptions during a crisis. Supply chain management heavily relies on relationships with third-party stakeholders. They help create a smooth, flexible supply chain and boost profits; for example, if you want to increase warehouse space due to growing product demand, a good relationship with the warehouse manager could easily find an adequate space quickly.

Sourcing and pricing

Sourcing in the supply chain deals with planning, designing, and building a trusted supplier base. It also includes determining the procurement strategy and designing pricing strategies. The process involves focusing on stakeholders’ objectives in operations, finance, marketing and distribution. Some supply chain managers favour “everyday low pricing” strategies to reduce demand distortion, improve customer service, and lower costs, while others apply “high-low pricing” strategies to clear slow-moving items and build retail traffic, thereby increasing revenues.

Know the Network

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When creating a supply chain, having information about where your suppliers and customers are, is vital. It equips you to handle any crisis during disruptions. To become a successful supply chain analyst, you must know the locations of materials, supplies, and products. You must understand how the route works and how to introduce agility. Knowledge about the local situations helps mend the existing loopholes in any supply chain.

Automation

Automation is the most trending tool of supply chain management. It increases efficiency and makes it easier to manage the supply chain. With the right software, automation reduces clutter and brings transparency by collating all the required paperwork in one place. Automation centralises the supply chain’s operations, reducing costs and the chances of human errors. Automation is an essential part of the supply chain as it aids in measuring performance in real-time and handling the situation accordingly. It consolidates the supply chain and brings the complete picture into one place, making it easier to assess the situation.

So, do you want to become a successful supply chain analyst? Do you often think you need to spend a lot of money and time on a university course to learn about efficient supply chain management? Think again.

At Imarticus Learning, you can get a professional certification in supply chain management and analytics. You will learn from industry veterans at the IIT Roorkee facility and deal with real-world problems. You can avail of live sessions with experienced faculty members and industry experts. The best part? You don’t need to leave your office or home to learn. Imarticus learning has brought the best of the industry at your door, bringing value to learners and future industry assets.

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

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6 steps to enhance your tableau dashboard

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6 steps to enhance your tableau dashboard

Tableau is a first-rate data visualisation tool. It helps compile, analyse, and represent big data. Companies prefer to use Tableau as a data analysis application. The application has a friendly design with unique features. These are some reasons why Tableau has a growing fan base amongst big data techies. It offers some top-notch data visualisation options. You can study data more effectively while highlighting data points.

Why has Tableau become famous? Why do people want to study how to use Tableau?

Recently, with the increase of Big Data, the variables are numerous. So, studying these big numbers without an analysis tool is almost impossible. Also, companies are leveraging modern tools for data-driven decisions. So, it’s important to have a tool to analyse and visualise data for swift solutions. But there are many data visualisation tools in the market. But almost all need prior knowledge about coding, etc. Tableau, on the other hand, is easy-to-use. You don’t need any coding or technical language. You need to have strong analytical skills. Even a non-technical person can learn Tableau. Tableau’s visualisation and insightful features have helped many companies grow exponentially. The app makes data interesting.

Now, you can choose to learn about Tableau by yourself. But a good Data Analyst Certification course helps you become literate on data visualisation and analysis. You learn the usage of Tableau. But unless you can extract insights to develop solutions, the app doesn’t help much. So, a good course allows you to be mentored by industry leaders.

One of the important things that you learn is to design a dashboard. The app does offer you a basic dashboard. But you need to customise it as per your variables. It improves data analysis and tracks performances. This can be tricky.

Do you want to build an effective dashboard? Here are the six tips for Tableau users.

Connecting Data from All-Over

This is the key to creating an impactful dashboard. You need to collect and connect data from multiple sources for analysis. You aim to create a dashboard with access to all the information in the cloud or warehouse. Now, these steps increase the reliability of your insights. It helps you make key business decisions. Learn data analytics to handle big data rightly to make accurate predictions. A well-organised dashboard helps in identifying trends. Different data sets on a common field help track performance and completion of goals during the whole process.

Managing Reports

There are many data visualisation tools around the globe. But the Tableau dashboard is a fan favourite. It offers key information and precise data. Also, you can choose a dynamic layout to assist in data reporting. Ensure that it helps split the information into many segments for better interpretation. Fix a dashboard size manually. Try to avoid using automatic sizing for maximum utilisation.

Provide Context and Proper Metrics

There are ways to elevate the effectiveness of the dashboard. First, writing a brief with a properly labelled axis is important. It is a key design tip to compare data against projected values, targets, etc. A well-organised dashboard helps in assessing information and presenting a good report. It should be easy to understand at first glance. Also, choosing the right metrics and small-size file images helps fulfil the organisational objectives and reduce the loading time to obtain optimal results.

Avoid Custom SQL & Enable Highlighting

Another major thing we can implement to improve the dashboard is to avoid using custom SQL in live connections, as they are difficult for databases to handle. Instead, using views in the database or multiple joins is recommended for implementing custom SQL. Secondly, enable a highlight button on the toolbar that oscillates between the views. When it is on, a selection in one view highlights the related data in other views. One can turn on the highlighter for a few selected or all fields. You can also turn it on to achieve fast processing speed and optimal results. In addition, we can also choose to display it in a way that highlights specific parts of a view based on their selection.

Limit the Views & Explore Better Visualisations

For a great dashboard experience, limiting the number of views to two or three in the dashboard is vital. Adding excessive views could result in losing visual clarity in the details and interference problems, causing performance issues in the dashboard after it is published. As an alternative, extra dashboards can be created to enhance the story scope. Utilising different visualisation features is an additional way to enrich our dashboard with relevant data points in a simplistic manner, such as graphs and charts. The use of colours and filters in the feature further helps in easy understanding and gaining insight.

Use & Share Information On The Move

Keeping the Tableau dashboard accessible without losing any data or graphical representation of important information is a tough task. Hence, we must ensure the availability of essential visualisation features on all devices, including mobiles. With the help of proper configuration and mobile business intelligence, provide the flow of data at all times. This is for informative purposes as well as analytical processes. The data visualisation features boost the dashboard’s efficacy by notifying everybody about the changes and developments in real time.

Conclusion

Wondering how to become a data analyst and learn more about data visualisation? Click here. For more information related to data analytics and other relevant fields, contact us through chat support, or drive to our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

A deep learning certification can take you places in 2022

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A deep learning certification can take you places in 2022

You’d be surprised how a self-driving car can make sense of the data. It can identify people on the road, traffic signals, road dividers, etc. The intelligence behind this is a well-known learning method. That is “learning by example”.

In humans, the brain is constantly observing and learning. Learning generates responses to stimuli and observations through neural pathways. It involves millions of cells to help our brain work. Deep Learning uses the same logic. It engages artificial neural networks for machines to predict tangible outcomes. DL can process features from information fetched from 150 layers. It enables a device to learn things by example or data. This helps it to review its performance itself.

Importance of deep learning

Organisations need advanced data processing to stay ahead in the digital age. DL justifies its existence in the market by outperforming manual work.

Companies investing in DL are looking to solve complex problems. This helps with the collection of large data sets. DL powers tasks that require voice and image detection from a large volume of data. Standard DL techniques include face recognition, object recognition, assistance, voice-to-speech applications, and translation.

Companies globally are adopting ML. This trend will continue to rise in the coming years. According to GlobeNewswire, the ML market is expected to reach $117.9 billion by 2027. The demand for ML experts is also increasing.

Becoming an ML Expert

Not everyone needs to pursue a graduate degree in ML and AI to serve in the data science domain. Many aspirants prefer to pursue a fast-track certification. For example, Deep Learning Certification Course.

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Those interested in becoming data science professionals start with an ML course. It helps you build a strong foundation for developing AI-based solutions. Many students sign up for various AI Training courses to acquire skills in the data science arena.

You need to select a good course. Ensure that it complies with the current market needs. Technical graduates, especially those who want to shift their career path to the latest trends in data science, can choose certification courses to align with others on the job.

One such course is the certification in artificial intelligence and machine learning program conducted by E & ICT Academy, IIT Guwahati, sponsored by Imarticus Learning. The course stands out for its industry-recognised curriculum and credible teaching standards. Its cutting-edge delivery method prepares students to take on roles as Machine Learning Engineers, Data Scientists, Data Analysts, and AI engineers after successful completion.

Certification in AI & ML course advantages

Following are some of the benefits of the Certificate in Artificial Intelligence and Machine Learning program by IIT Guwahati:

Live online training for students for nine months on weekends. It helps them connect with peers. Also, they get time for self-study. Working professionals benefit the most from the course. Also, it offers extendable credit points for one year per the NEP 2020.

Online sessions connect faculty and industry veterans and cover robust curriculum topics, over 100 assignments, 25 in-class real-world AI and ML projects, and encourage participation in national hackathons.

Designed by industry experts from E & ICT Academy, IIT Guwahati, this course skilfully prepares you to face the professional demands of the industry.

You will learn real-world ML and DL skills through several AI-based business projects, making you the next-gen AI and ML specialist.

A 3-day campus immersion opportunity at the E&ICT Academy, IIT-Guwahati, paves the way to interact with faculty and peers and learn from experts in the field who will validate your learning.

Imarticus Career Services provides placement assistance to students and conducts workshops and mock interviews in addition to CV writing. Additionally, eligible candidates can avail of scholarships based on merit and experience.

Conclusion

This certification in artificial intelligence and machine learning is an excellent course for aspiring data science professionals. It is a fantastic opportunity not only to learn machine learning but also to develop skills in AI. It will equip students with data science concepts, helps them study learning and discriminant models, and master Python programming.

Interested candidates who want more information about Deep Learning Certification Course can contact Imarticus Learning. You can connect by messaging, live chat, or visiting one of our training centres available in major cities in India. Visit our centres in Mumbai, Thane, Pune, Bangalore, Chennai, Delhi, Gurgaon, and Ahmedabad.

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Developing your data science skills: Best machine learning course in India

Posted on by Imarticus Learning

Developing your data science skills: Best machine learning course in India

In a world that is increasingly driven by data, the role of data scientists has never been more important. Data scientists are responsible for extracting valuable insights from large data sets, and their skills are in high demand in various industries.

The best machine learning course in India will teach you the skills you need to become a successful data scientist. You will learn how to use various tools and techniques to clean, analyze, and visualize data. You will also understand machine learning algorithms and how to apply them to real-world problems. With these skills, you will be well-equipped to take on any challenge that comes your way.

Reasons for enrolling on a Data Science course:

  1. The Data Science course will help you to understand the basic concepts of data science and machine learning.
  2. The course will also cover various data science and machine learning techniques.
  3. After completing the course, you can apply these techniques to real-world problems.
  4. The course will also allow you to work on projects using real-world data sets.
  5. After completing the course, you can get a job as a company’s data scientist or machine learning engineer.

Career scope after a Data Science course?

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The career scope after a Data Science course is excellent. With the ever-increasing demand for data analytics across industries, there is no shortage of job opportunities for qualified data scientists. A data scientist must have strong skills in these areas to succeed.

– Strong programming skills: Data scientists need to be able to code in a variety of languages (R, Python, Java, etc.) to wrangle data and build models.

– Statistical analysis: Data scientists must be well-versed in statistical techniques to make sense of data and draw conclusions from it.

– Machine learning: Machine learning is a subset of artificial intelligence that deals with building algorithms that can learn from data and improve over time. Data scientists need to be able to understand and utilize machine learning algorithms.

– Communication: Data scientists need to effectively communicate their findings to those who may need to be more familiar with the technical details. This includes being able to explain results in layman’s terms and creating visuals that help tell the story behind the data.

Learn and Grow with Imarticus Learning:

The Certificate Program in Data Science and Machine Learning is designed for data science & machine learning enthusiasts. Built with iHUB & IIT Roorkee, this data science and machine learning certificate program teaches fundamental aspects of data science and machine learning. One of the Best machine learning courses in India, this course equips students with the proper knowledge to implement & apply these concepts to real-world problems.

The course has it all for you, be it python data mining and machine learning tools or how to use data-driven insights to impact organizational growth positively.

This data science program will enable learners to build a strong foundation in data science and specialize in machine learning with Python for data-driven decision-making. Through this program, we aim to develop professionals who can provide meaningful insights from data and help businesses make the right decisions for growth. 

IIT data science and machine learning course USPs:

Designed By IIT Faculty for Early & Mid-Level Professionals

Live Training by IIT Faculty and Industry Experts

Campus Immersion at IHuB Divyasampark @IIT Roorkee

Startup mentorship and Funding Program

Program Coordinated Top ML Faculty In India

Certification from IHuB Divyasampark at IIT Roorkee and the Department Of Science & Technology

For further details, reach out through Live Chat Support system or visit our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Worried about uncertainties in supply chain? This is what you need to know

Posted on by Imarticus Learning

Several external and internal factors impact the supply chain function of any business. As there are several economic, market-based, manufacturing-led, supplier-focused, and other internal/external factors that can impact its performance, there is a need to be prepared for managing uncertainty in supply chain that exists in the system.

For instance, no one had imagined that the global supply chain would come to a standstill as COVID-19 greatly impacted day-to-day business. As a result, knowing how to manage uncertainty in the supply chain and building a mechanism that can withstand its unpredictability in the framework is important.

Here is all you need to know about managing uncertainty in supply chain:

What is uncertainty in the supply chain?

Supply chain uncertainty can occur at any point in time in a network that is negative or positive and is due to external or internal factors. It refers to the supply chain’s change in balance and profitability that was impacted by potential and unforeseen events. To become a successful supply chain analyst, it is important to know that the ability to manage uncertainty in supply chain will always be a part of making forecasts and predictions.

A good supply chain management course will always cover the strategies of how to manage uncertainty in the supply chain. A robust and well-rounded supply chain analytics online training can help us deal with it following a data-driven approach.

Uncertainty in the supply chain can increase cost pressure and reduce profitability in no time. As a result, a supply chain analyst is expected to understand the reasons for uncertainties in supply chain and ensure that the supply chain is flexible enough to continue to function at the expected pace so that there is minimal impact on business.

Supply Chain Management Certification Course

How to handle uncertainty in the supply chain?

Different approaches can be adopted for managing uncertainty in supply chain. Here are some key activities that you can adopt:

Use historical sales data

As they say, businesses operate in a cycle. We can use this to our advantage by analysing the historical sales data and taking cues from it to understand what can be expected in the future.

We can opt for forecasting, predictive analytics, and other such solutions to understand the context of the historical sales data and what steps can be taken to improve efficiency.

This approach can help us in managing uncertainty in supply chain business operations and be prepared for the future. It is important to realise that high forecast accuracy is critical to a business’s inventory, transportation, and supply chain costs. At the same time, we can improve the level of customer service by understanding historical sales data and making meaningful changes.

Understand return rate

In addition to sales, it is equally important to understand the return rate of the business. We can again go back to the data points like historical sales, historical returns, customer growth, etc., to understand past trends.

Strategies for supply chain flexibility like forecasting and predictive analytics can be used for planning and creating differentiated return policies in the business.

The return rate also depends on the industry average. Therefore, we should consider the average rate of return in the industry and use predictive models to determine the expected rate of return in the future.

Understand quality concerns

Quality issues in products are among the critical reasons for uncertainties in the supply chain for any business.

We can have a quick look at how recalls can put a dent in financials and reputation in no time. We can use a mix of analytics, the internet of things, and social media to understand the next big quality issue for the business.

With the right checks and balances in place, we can reduce the impact of quality issues on the supply chain.

Keep an eye on external factors

Apart from handling the internal factors, it is important to understand that external factors are not in our control.

However, we can keep a close eye on the external factors and understand the global geopolitical and economic scenario to identify the possible reasons for supply chain uncertainties that can impact business.

With a conscious effort to identify and reach such issues, the business has some lead time to handle the next big crisis that does not exist due to any internal factors.

Conclusion

The best approach is to embrace yet not surrender to the element of uncertainty in the supply chain framework. A business should always be prepared for managing uncertainty in supply chain network that may impact from any corner. While we cannot eliminate uncertainty, we can create strategies for supply chain flexibility that causes minimal impact on business.

In our Professional Certification in Supply Chain Management & Analytics course, you can understand this and many other similar concepts in-depth. Contact us through website chat support to know more about it or walk into any of our training centers in major Indian cities.

Don’t opt for an online artificial intelligence course till you read this

Posted on by Imarticus Learning

Don’t opt for an online artificial intelligence course till you read this

Artificial Intelligence (AI) is one of the most important and rapidly growing fields of study.

As computer technology advances, our ability to create machines that can think for themselves grows. This has led to several applications for AI, from creating smarter algorithms and software to helping find new ways to solve complex problems.

An online course might be a good option if we are interested in learning more about AI or want to start using it in work. Before signing up, make sure to read this first.

Topics Covered

Not all online AI courses are created equal. Some focus on the history and philosophy of AI, while others are more technical, teaching us how to code and build AI applications. Thus, knowing what topics will be covered in the course before enrolling is important.

Ideally, we should choose a course that covers the basics and advanced topics. A good online AI course will introduce us to the history of AI, the different types of AI, and common applications. It will also teach us how to code in popular AI programming languages like Python and R. Finally, it should cover more advanced topics like machine learning and deep learning.

Teaching Style

In addition to the topics covered, we should also consider the teaching style of the course. Some courses will feature very heavy lectures, while others will be more hands-on, with lots of opportunities for us to code and build AI applications.

The best online AI courses will use a mix of both approaches. We should look for a course with plenty of lectures, tutorials, and exercises to complete. This will ensure that we get a well-rounded education in AI. This, in turn, will make us a more competitive job candidate or help us build better AI applications in our work.

Instructors

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When looking for an online course, pay attention to who the instructors are. Ideally, the instructors should be experts. They should have years of experience working with AI and be able to share real-world examples with us.

The best online AI courses will also have instructors who are good communicators. They should be able to explain complex concepts in simple terms and make the material interesting and engaging.

Course Length

Some online courses are very short, lasting only a few weeks, while others can go on for months. The course length is not necessarily an indicator of quality, but we should consider it before enrolling.

If looking for a comprehensive education in AI, we should choose a course that is at least a few months long. This will give us enough time to learn the material and complete all the assignments. On the other hand, if we’re only looking for a basic introduction to AI, a shorter course might be all we need.

Cost

Last but not least, we should consider the cost of the course before enrolling. Some courses are free, while others can cost thousands or even lakhs of rupees.

The cost is not a barometer of quality but something to keep in mind. If we’re on a budget, plenty of courses available at affordable prices offer a great education in AI. Moreover, several courses offer EMI or pay-after-placement options so that we can spread the cost of the course over time.

The Bottom Line

Before we enroll in an online AI course, make sure to conduct research. Consider the topics covered, teaching style, instructor, course length, and cost. We can choose the best course for our needs by considering these factors. This, in turn, will help us get the most out of our education and set us up for success in the field of AI.

The Certification in Artificial Intelligence and Machine Learning course offered by E&ICT Academy, IIT Guwahati, is an excellent choice for anyone looking to get started in the field of AI. The course covers all the above topics and is taught by experienced instructors. Moreover, it is affordably priced and offers EMI options.

If you need help choosing the right course or have any other questions, please contact us through chat support or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad. We would be happy to assist you.

Happy learning!

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How I mastered data visualisation with these techniques

Posted on by Imarticus Learning

How I mastered data visualisation with these techniques

A while ago, I wanted to learn how to create stunning data visualisations. I started by reading many articles and watching videos about the subject. After a while, I realised that certain techniques were used repeatedly by the best data visualisers in the field. In this article, I will share the techniques I mastered to create beautiful data visualisations.

Be Clear On The Purpose Of The Visualisation

The first step to creating a great data visualisation is to be clear on the purpose of the visualisation. What are we trying to communicate with our data? What story are we trying to tell? Once we have a clear understanding of the purpose, we can start thinking about the best way to communicate our data.

Let’s say we want to create a visualisation that shows the number of sales made by our company each month. The purpose of this visualisation is to show the company’s growth over time. With this in mind, mapping how data can be communicated becomes easier.

Will we use a line graph to show the monthly sales over time?

Or will we use a scatter plot to show the relationship between the number of sales and the amount of money spent on marketing each month? The possibilities are endless, but ascertaining the purpose of the visualisation is crucial.

Understand The Data

The next step is to understand the data we will visualise. This means knowing what the data represents and how it is structured. The dataset may contain hundreds of columns, but it’s critical to focus only on the relevant data.

For example, if you only want to show the monthly sales for your company, you don’t need to worry about the data for the number of employees or the amount of money spent on marketing.

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We should also think about the structure of the data. Is it in a format that is easy to work with? For example, if we are using a CSV file, is the data in a single column or multiple columns? If the data is in multiple columns, is it in a format that can be easily joined together?

The last thing to think about is the size of the data. How many rows and columns are in the dataset? Is it too big to work with? If so, we may need to consider using a sample of the data.

Define Our Audience

Before creating the visualisation, we must think about who our audience is. What are their needs? What do they want to see? What level of detail do they need?

The visualisation should be designed to communicate the data in a way that is easy for our audience to understand.

For example, let’s say we want to create a visualisation that shows the number of sales made by each salesperson. The audience for this visualisation might be the managers of the sales team.

They will be interested in seeing which salespeople are performing well and which ones are not. They will need to see the data for each salesperson so that they can make decisions about improving the team’s performance.

Develop Our Visualisation

Once we have selected the data and defined our audience, it’s time to start developing the visualisation. This is where the fun begins!

There are a few things to consider when developing the visualisation. The first is the type of visualisation. There are many different types of visualisations, each with its strengths and weaknesses. We must select the type of visualisation best suited to the data and the story we want to tell.

The second thing to think about is the layout of the visualisation. How are we going to arrange the data? What order should the data be in? How can we make the visualisation easy to understand?

The third thing to consider is the style of the visualisation. What colours and fonts should we use? How can we make the visualisation visually appealing?

Finally, we need to determine the interactivity of the visualisation. What features can we add to the visualisation to make it more engaging?

Test And Improve

After we have developed the visualisation, it’s important to test it. Show it to people and see what they think. Ask if they can understand the data or if they find the visualisation visually appealing.

Conclusion 

Creating data visualisations can be a lot of fun. But remember that there is a process to follow. We must first select the data, then define our audience, develop the visualisation, and finally test and improve it. By following this process, we can create informative and visually appealing data visualisations.

If you want to learn more about data visualisation, check out our Postgraduate Program in Data Analytics & Machine Learning. In this course, you will learn everything about data visualisation – from basic to advanced techniques.

If you need more help, contact us through chat support, or drive to our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad. We would be happy to assist you.

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Your career needs IIT Roorkee’s machine learning course

Posted on by Imarticus Learning

Your career needs IIT Roorkee’s machine learning course

Building a career that can yield quality outcomes for you in the future requires a set of excellent skills that appropriate mentors can only help you learn. Besides that, you must choose a career option and a skill that will take you toward your success. A mixture of all of these lives in the IIT Data Science Certification Course, which is designed by acclaimed IIT faculty members. In addition to that, you will study data science and machine learning, a field that’s flourishing every day with technological advancements. 

Data science has always been the driving force behind an industry because of its applications and the outcomes it brings to the table. So, having a career in data science will not only make you a valuable asset to a company but it will also equip you with multiple skills necessary in today’s time. To help you with this, data science online training can be of great use to skill you up in the comfort of your home. 

Before going any further in understanding the importance of IIT Roorkee’s Machine Learning Course in an individual’s career, it is important to learn about the fundamentals of machine learning. 

What is Machine Learning?

It is the field of study that enables a computer to learn without being programmed. There are many things that differentiate a human from a machine. One of which is the ability to learn and machine learning goes a long way to make it happen. Here, the computer learns from analysing huge databases. Then it comes up with solutions automatically. 

There are numerous applications of machine learning but one prominent use of this comes under data science. Hence, it would be a sound decision to opt for a data science online training that teaches you both the skills. 

Importance of Machine Learning 

In today’s world where everything operates with automated technologies, it becomes evident to make technologies that are capable of learning on their own. With each passing day, science is expanding its horizons, and the use of such advancements is transforming industries to be much better. One such example is the use of machine learning in acknowledging trends and understanding customer behaviour quicker than ever. It not only helps customers in solving their issues but also provides businesses with insights that can differentiate them from their competitors. 

If we specifically talk about its application in data science, then the list will go on forever. But in brief, it can be understood as a technology that gives out results and helps in making appropriate decisions without human intervention. 

With numerous evolutions taking place in this field, the demand for it is rising exponentially. It has changed the way data extraction works, and made it modernised which is more efficient and fast. The new automated process is loved and accepted by all, thus its popularity is also expanding. 

Till now, we have acquired a little knowledge about machine learning and its importance in the real world. It is now time to look at the best course from which one can get the appropriate understanding of it. 

IIT Roorkee’s Machine Learning Course

Quality certification to validate your skills and learning is essential when you are applying for a job position in a reputed company. The certification also assures your interviewer about the quality of your skills as they will check the background of your course. And what more can impress an interviewer than a course designed by the IIT faculty members?

This IIT data science certification course is designed in collaboration with iHUB DivyaSampark (TIH) @ IIT Roorkee to provide beginners or mid-professionals with a robust knowledge of data science and machine learning. Accomplished IIT faculty has outlined this new-age course to build you into an asset that an organisation will embrace. 

Here you will be taught all about data mining, machine learning tools with Python, and using data-driven insights to impact organisational growth. 

Benefits of this Course

Before we opt for a certain course, we must check its benefits. This data science online training comes with the added advantage of completing the study in the comfort of your home. Besides that, it checks various essential boxes such as;

  • Quality Certification

The IIT data science certification course comes with a certificate issued collectively by iHUB DivyaSampark @ IIT Roorkee, Department of Science & Technology (DST), and Imarticus Learning under “The National Mission on Interdisciplinary Cyber-Physical System (NM-ICPS). Thus, it will help an individual to stand out among the rest of the crowd, as his/her profile includes a certification by nationally recognised bodies. 

  • Exposure

This course also provides a 2-day campus immersion at iHUB Divyasampark @IIT Roorkee (Greater Noida campus) to connect to IIT faculty members and peers. Such opportunities can help you gain industry insights and can be of great help for your future.

  • Training by Industry Experts

When you get trained by industry experts and a faculty that belongs to IIT Roorkee, IIT Guwahati, IIT Ropar, and other premier institutes, it is quite evident that your knowledge will be much sharper than your competitors. This will be because of the practical insights that you will gain during this program.

  • Startup Funding Program

In addition to the sharp skills, you will also get an opportunity to present your own startup idea and get it funded. This will not only push you to work hard but can also help you with the process of building something great. 

Conclusion

Till now, you must have understood the importance of a career in data science and machine learning. Therefore, it is an ideal time to invest in a course that can yield the best results for you in the future. The perfect IIT data science certification course is here for you to assist in the most essential time of your career when you gain knowledge.

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An epic supply chain management course by IIT Roorkee

Posted on by Imarticus Learning

An epic supply chain management course by IIT Roorkee

It is true that in the modern world, the term “supply chain management” (SCM) has become quite popular. In fact, many leading organizations are now implementing SCM programs in an effort to improve their overall efficiency and competitiveness. However, despite its widespread use, there is still much confusion surrounding the concept of SCM. In order to clear up some of this confusion, it is helpful first to understand exactly what supply chain management(SCM) is and what it entails.

What is supply chain management?

Simply put, supply chain management is the proactive and reactive management of material, information, and financial flows throughout the entire supply chain, from raw materials acquisition all the way to delivery of the final product to the customer. Importantly, supply chain management includes collaboration with channel partners, which can be suppliers, intermediaries, third-party service providers, and customers. 

It should be noted that the term “supply chain” does not refer solely to the physical movement of goods; rather, it encompasses all aspects of a company’s operations that are involved in offering products or services to its customers. 

What it entails?

The goal of SCM is to optimize the overall performance of the supply chain in order to achieve the ideal outcome in terms of cost, service, and quality. In order to accomplish this, SCM programs typically involve using various tools and techniques, such as inventory management, transportation management, and supplier relationship management.

Inventory management is a key component of SCM programs, as it helps manage that the right amount of inventory is available at all times to meet customer demand. Transportation management is another important aspect of SCM, as it helps to ensure that goods are shipped efficiently and safely from one location to another. Lastly, supplier relationship management is paramount to the success of any SCM program, as it helps to ensure that supplier performance meets the company’s standards.

How to learn SCM?

There are numerous ways that individuals can learn about supply chain management. One option is to take an online course, and in my view, there is no better course than IIT Roorkee’s online SCM course. Here I am explaining some of the key features of this course:

  • Epic content: The course is loaded with industry-specific examples, case studies, and real-world applications that make the concepts easy to remember.
  • Expert instructors: You will be taught by IIT Roorkee faculty who are leaders in their respective fields and have a wealth of experience in SCM.
  • Self-paced learning: The online format allows you to learn at your own pace and review material as often as you need.

Whether you are looking to gain a clear understanding of SCM or want to build a career in SCM, IIT Roorkee’s online SCM course is the perfect solution.

Explore a Career in supply chain management with Imarticus Learning.

This supply chain management course by IIT Roorkee is designed to provide you with the necessary skills and knowledge required to excel in this field.

Course Benefits For Learners:

  • Prepare yourself to contribute to the future creation of more tactical and innovative global supply chains that will help you become a successful supply chain analyst.

  • After completing the supply chain management online training, students can start preparing for in-demand careers in supply chain and as demand planners or data scientists!

  • Python teaches students how to gather, analyze  important data that will aid them in making better supply chain decisions.

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

7 tips to remember to make data visualisation better

Posted on by Imarticus Learning

Data visualization is a powerful tool for communicating complex information, but it can also be daunting. Many data visualizations are compelling because they don’t do anything too fancy or complicated. However, the more complex your data visualization is and the more subtle its impact on your audience, the better it will convey your message. You’ll learn how to become a data analyst by leveraging simple data visualizations!

So here are seven things that you should keep in mind when making your subsequent data visualization:

Keep chart and graph headers simple and to the point. 

  • Use the same font or at least something simple and recognizable. 
  • Don’t overcomplicate things by adding too many bells and whistles (like fancy charts) that aren’t necessary for communicating an important message about what makes up your data set; instead, focus on keeping things simple!

Don’t make graphic-heavy slides.

If you want your data visualized in a way that will help people understand it, then don’t make graphic-heavy slides. It is the biggest mistake we see in presentations and can easily fall into.

Use a single color to represent the same type of data

One of the vital things to remember when creating data visualizations is to use a single color to describe the same data type. This helps create a visual hierarchy and lets the audience quickly identify what is essential. If you use more than one color, ensure they are used consistently throughout your visualization.

Don’t use distracting fonts or elements

  • Don’t use too many different fonts. 
  • Don’t use too small or large fonts. 
  • Don’t use thin or thick text; it should always appear legible at its normal size on your computer screen without looking pixelated or blurry—and remember: there’s no need for fancy, glitzy effects like drop shadows here!
  • Finally, try not to crowd your layout with information.

Avoid patterns

While it is essential to be aware of the patterns in your data, you should also avoid them in the design and presentation of your visualizations.

 Make sure labels are visible.

Labels should be legible, placed close to the points they identify, and consistent with the data, formatting, and other labels. They should also be large enough that people can read them easily from a distance.

Order data intuitively

When visualizing a data set, it’s easy to get lost in the maze of numbers and figures. But ordering them can make all the difference in how your audience interprets your information. 

Data visualization is a potent tool for presenting data, but it can be challenging to master. Data visualization is all about communicating effectively and efficiently. By following these simple tips, you can impact your audience. So go ahead, give it a try!

Explore data analyst certification course with Imarticus Learning

With the help of this data science course, you could land a career in tableau. Utilize what you’ve learned by using data science to create intricate models that produce essential business forecasts and insights.

Course Benefits for Students:

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

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