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11 Innovative Ways to Improve Data Visualisation

Posted on February 28, 2023April 5, 2024 by Imarticus Learning

Organisations gather a huge volume of data each day. This data, in its raw form, is messy and unstructured. It conveys no meaning. One can find patterns and trends only when refined and presented in a certain way. Data visualisation helps in doing so. The process transforms an unrefined and raw dataset into a form that can be understood and provides insightful information. Thus, data visualisation enables data scientists to deliver the story they want to convey using the data.

As with any form of storytelling, data visualisation requires creativity, design skills and the ability to explain the information most simply and efficiently as possible. Data analysts use several strategies to ensure that their data sends a clear and compelling message. One can learn these strategies as part of data analyst training.

Some of the best ways to improve data visualisation are listed below:

Decide the message you want to convey.

You should clearly know what you want your audience to take away from the visualisation. A dataset means nothing to a viewer until you give it meaning. Once you know what you want your data to stand for, you can design and present it that way.

Clean up and understand your dataset.

A thorough analysis of the dataset is essential before it can be visualised. Clean up your dataset and eliminate elements that do not contribute meaning, particularly when dealing with a large dataset. Only when you reach a conclusion based on the data can you convey it to others.

Choose the best graph type for your data.

Different charts and graphs are used to depict different forms of data. For instance, a line plot is used to show numerical trends over time, a bar graph is used to compare data values within the same category, and a pie chart shows the proportional distribution of data points within a specific category. Depending on your data and what you want to do with it, you can find which graph fits it best.

Keep things simple.

Choose simple charts and structure your data in a way that’s easy to understand. The better you know something, the more simply you can explain it.

Pay extra attention to the text.

You can neither make your visualisation completely text-free nor fill it with redundant text. Your visualisation usually has a title, label and legends. A title needs to be precise and easily understandable. Labels should also be simple and readable. Legends must be thought carefully as they should make understanding graphs easier.

Use colours in the right way.

Colours are an essential component of visualisation. Depending on how you use it, they can either enhance your visualisation or make it confusing. Avoid using too many colours and the same colour for the same data.

Keep your audience in mind.

The type of audience will impact the design of data visualisation. Depending on the audience’s familiarity with the subject, you will decide the level of explanation required and the design elements to be used. For instance, charts for internal stakeholders will look different from those designed for external audiences.

Reduce density.

Don’t try to cram everything on one chart. If there is too much information or too complex, illustrate it using more than one chart. Use whitespaces to help your readers focus and comprehend the information better.

Make use of dynamic visualisation.

Using dynamic visualisation can make your data highly insightful. Interactive visualisations where the viewers can remove some categories of data can help them understand the graph better. Gifs can also be used to depict the same base graph over different periods or conditions to demonstrate changes in the data.

Reduce dimensions.

When several dimensions are shown in the graph depicting different measurements for each data point, it will only confuse the audience. They will find it difficult to find or understand patterns. Thus, use a few dimensions to convey the meaning of your dataset.

Mention the source of the data.

Include the link to the original dataset to make your data visualisation as unbiased and objective as possible. Be honest about the assumptions you made, the data that was omitted and how you reached a particular conclusion.

The skill of data visualisation is essential to learn for data scientists. The data they gather and analyse can be of use to people only if appropriately designed.

At Imarticus Learning, we offer the perfect Data analytics course with placement. Our Postgraduate Program in Data Analytics and Machine Learning focuses on data visualisation with Tableau and PowerBI and other job-relevant skills. All graduates and professionals (up to 5 years of experience) with a technical background are eligible to apply.

Apply now to begin your journey as a data expert.

How does designing the supply chain work

Posted on February 27, 2023April 1, 2024 by Imarticus Learning

Designing the supply chain is a critical aspect of any business that involves the movement of goods and services from the manufacturer to the end customer. It involves the coordination and management of all the activities and resources required to plan, source, produce, and deliver goods and services to customers.

The value of the global market for supply chain management (SCM) was USD 18.446 billion in 2021. It is forecasted to grow at a CAGR of 10.9% from 2022 to 2030.

The increasing use of technology and new advancements are making the supply chain better and helping the market to grow.

Meanwhile, SCM is a dynamic field. It comes with many challenges for companies to navigate. These challenges include:

Complexity

Volatility

Transparency

Risk management

Sustainability

Cybersecurity

Talent and skill shortages

Cost reduction

Efficiency

In this article, we will take a closer look at the key components of designing an efficient supply chain. It also covers how to become a certified supply chain analyst and future-proof your career.

How to design an efficient supply chain management?

Designing the supply chain involves understanding and optimising the flow of goods and services from the manufacturer to the end user. It encompasses various activities such as:

Planning

This includes forecasting demand, determining production schedules, and setting inventory levels.

Sourcing

This involves procuring raw materials, components, and finished goods from suppliers.

Manufacturing

This includes the production of goods and services.

Logistics

This contains the movement of goods and materials from one location to another. It also concerns itself with the coordination of transportation and storage.

Inventory management

This covers managing the flow of goods and materials in the supply chain. This includes the storage and distribution of inventory.

Distribution

This comprises the physical delivery of goods and materials to customers. As well as the coordination of returns, and reverse logistics.

Customer service

This includes addressing customer complaints, tracking orders, and handling returns.

An effective supply chain design requires balancing these different activities in a timely, cost-effective, and efficient manner.

Overall, a successful SCM design involves ongoing analysis, optimization, and adaptation to changing market conditions. Businesses must be willing to invest in technology, data analytics, and employee training to stay competitive. That’s the only way to meet the demands of their customers.

To delve deeper into how to design an efficient SCM, you can explore a supply chain management course with analytics certified by IIT Roorkee.

Features of supply chain management course with analytics

Imarticus Learning is offering a supply chain management course with analytics certified by IIT Roorkee. The highlights of the course are as follows:

Curriculum design

This cutting-edge curriculum, designed by the IIT Roorkee, will give you a comprehensive understanding of SCM and analytical skills. These skills include problem-solving, technical, communication, project management, technology, and many more.

Through the use of Python, you will learn how to analyse data. And you will be able to make better supply chain decisions.

Pedagogy

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

Led by the IIT faculty, you will gain a solid foundation in the key concepts of SCM. The industry experts will provide practical learning for SCM processes, tools, and techniques.

Campus immersion

Get a chance to participate in a 3-day campus immersion module at IIT Roorkee. You can interact with peers and learn from the IIT faculty in person.

You can also visit the Delhi or Noida campus. Here, you will work on a capstone project under the guidance of industrial mentors.

Experiential learning

Tackle complex, real-world problems in the SCM industry through projects. And create a portfolio of your projects to showcase to future employers.

Combination of SCM and big data

Modern supply chains generate a large amount of data, often referred to as big data. Build strategic global supply chains of the future by combining traditional supply chain techniques with data-centric decision-making.

To enrol for this course, you must have:

Basic understanding of Operations Management and Programming.

Interest in learning SCM.

Why choose Imarticus Learning?

With the increasing trend of e-commerce, there has been a significant increase in the movement of goods. This results in a corresponding rise in the number of job opportunities. Especially, for those skilled in SCM.

The SCM program offered by Imarticus Learning helps you capitalise on this opportunity. It also helps you advance your career in the field. Click here to know more about the course. Or you can get in touch with a representative.

Imarticus Learning is a global premier ed-tech platform. They specialise in technology-driven training. Moreover, they have a decade of experience in the industry. They provide career-enhancing education across several key industries. Some of them are banking and finance, data science and analytics, new technology, and digital marketing.

Power BI: Get started with Python to automate tasks

Posted on February 27, 2023April 6, 2024 by Imarticus Learning

Showcasing the effectiveness of the data analytics course and machine learning, is the effectiveness of the participants at using Python for automation of tasks

While automation as a strategy is well appreciated, it is necessary for a working professional to learn the necessary skills to undertake implementation. Automation can be achieved in varying degrees by a person depending on his skills. While there are some rudimentary methods to automate tasks, the best way to automate is to go through a learning process through which one acquires effective automation skills. This is where it becomes important to learn python. Those who learn python develop simple coding skills that are very effective at helping themselves automate unproductive tasks when using Power BI.

Automation with Python: An integral part of the curriculum

A working executive who seeks to upskill himself and sets himself the ambitious task of acquiring a leadership mindset in data science should go through a well-built curriculum. The inclusion of a Python Certification Course and the automation techniques is just one way of adjudging if a skill development course covers the essentials.

Learning on the job, without going through a data analytics course, has many disadvantages. Learning on the job limits you to the exposure available in the immediate environment. The knowledge of one’s colleagues on python may not be very wide either. In such a situation, being a self-learner means that there is no one who researches the needs of today and tells you what to learn. Even if you do come to know what should be learned in data analytics and machine learning, you may not get the right tools, and teachers to guide you through the process.

A structured data analytics course curriculum can accelerate one’s learning in Python, SQL, Data Analytics, Machine Learning, and Data visualization.

Advantages of Python

Learn python to empower yourself in the world of technology. It is one of the latest, most effective languages. A Python Certification Course has several advantages that have resulted in it being popular. Here are some reasons:

It is designed to be a readable language as it uses English much more than punctuation.
Python is also used widely in web development, data analytics, and machine learning.
It is an open-source programming language.
Many programming languages have become obsolete but Python is popular and all the tools that make it easy to use are available easily.
Python communities are big and anytime one comes across any hurdle, and after having done a python certification course one can reach out to these and resolve the problems.
Libraries for python ensure that a software team can focus on their core goals.

Data science and machine learning are becoming an integral part of business

A data analytics course is one of the best ways to upskill. Data science is one of the key pillars of technology-driven businesses and big firms. Data collection, management, assessment, and usage result in massive results for a company. Data science impacts sales, user base, suppliers, hiring, marketing, and overall success of the business.

Python skills form an integral part of technology and learning it well can substantially help in automating many tedious tasks and make you more productive. Thereby, giving you an edge over those who are still learning it.

The Ultimate Guide To Learning Python Online

Posted on February 24, 2023April 6, 2024 by Imarticus Learning

The Ultimate Guide To Learning Python Online

Are you looking to make a career as a web developer or a programmer? If yes, it is imperative that you should have a thorough knowledge of programming languages. We have heard about different programming languages and Python is one of them. As per reports from The Economist, it is estimated that Python is going to become the most popular programming language in the world sometime soon.

This means that more websites will use Python for web development. It will become a preferred programming language with developers too. Quite obviously, job openings in Python will also increase in the industry. In such a situation, it becomes inevitable to learn Python. Various kinds of tutorials and training programmes are now available online, with which you can develop a basic idea about Python.

Understanding What is Python

While going through a Python tutorial, the first thing that you will learn is what is Python in the first place.

Python is a general-purpose, object-oriented, but a high-purpose programming language. Along with web development, you can use this programming language for other kinds of programming and software development. Mentioned below are some development areas where Python is really helpful:

Software development and desktop app
Writing system scripts (instructions for telling the computer to “do” something)
Mobile app development and back-end web
Performing mathematical computations and processing big data

The majority of beginners in the programming and development field now prefer learning Python as their first programming language because of its versatility and simplicity. The Python community is also quite strong and supportive and keeps up with increased popularity.

Getting Started with Python

If you are a newbie to programming with no knowledge of algorithms or coding, do not worry. You will have no problems learning Python as the programming language comes with a simple and easy-to-use syntax.

At the very beginning of Python training, we will learn how to install Python and run it on systems. The majority of Mac and Linux systems have Python pre-installed in them. However, it is important to check if the latest version is present or not.

Running Python by using Thonny IDE

This is the easiest way of running Python as Thonny IDE comes with the latest and updated version of the language packaged in it. You, therefore, need not install Python separately.

Running Python without Thonny IDE

You can also install and run Python on your system without using Thonny IDE by following the steps below:

Download Python’s latest version
Now, run the provided installer file. You have to keep on following the steps as they instruct you to install Python. During the process of installation, check on ‘Add Python to Environment Variables’. With this feature, you will be able to run Python from any segment of the system
You have the option of choosing the path where Python will be installed in the system
On completion of the installation process, you can run Python

Running Python

You can run Python in different ways. We will discuss them below:

Running Python in Immediate Mode

Once you install Python, in the command line type ‘python’. You will notice that the interpreter will invoke in immediate mode. You can type in Python code directly. You have to press Enter to get output.

For instance, try typing ‘1+1’. Now press Enter. You will get ‘2’ as output. For exiting the mode, type ‘quit ()’ followed by pressing Enter.

Running Python in Integrated Development Environment (IDE)

For writing a Python script file, you can use any text editing software. You have to save it with a ‘.py’ extension. With the use of IDE, coding becomes easier and more convenient.

IDE is a piece of software that offers useful features to the programmer for application development. The features include syntax checking and highlighting, code hinting, file explorers, etc.

Mandatory Tools for Python Development

Integrated Development Environments (IDEs)

Before you start learning Python, you must choose an IDE and set it up. You will write all your Python code here. You can choose an IDE independently and install it.

Test Runner

When you are a beginner, you would want to learn the basics of the language and not be much interested in testing. But, test running is important to ensure that all elements of the program are working properly. In Python, developers use Nose, Unit Test, or Pytest frameworks/libraries for testing.

Debugger

Post-coding, bugs will be there. But, the important thing is to identify them as soon as possible and resolve them. There are many debuggers, which you can use in Python.

Conclusion

Learning Python online is the most convenient thing. You can also join a Python class at Imarticus Learning to hone your skills in the programming language. The interactive tutorials online also help in learning the language with solved examples and many mock questions.

How to become an expert in data visualisation

Posted on February 24, 2023April 5, 2024 by Imarticus Learning

Data visualization is quickly becoming an essential skill for anyone looking to break into the data science industry. With the increasing amount of data collected and analyzed, a highly competent understanding of data visualization tools and techniques can significantly benefit any organization. But how does one become an expert in data visualization? In this blog post, we will explore the key steps needed to become an expert in this field, from mastering the fundamentals to exploring advanced concepts such as machine learning and artificial intelligence. Read on to learn more about how you can become an expert in data visualization.

Importance of making a career in data visualization

Data visualization is not only about making pretty pictures. It’s about conveying information in a way that is easy for people to understand. When done well, data visualizations can make complex ideas digestible and help people see the world in new ways.

A career in data visualization offers the opportunity to make a real difference in how people understand the world around them. As a data visualization expert, you’ll be able to take data sets and turn them into visually-appealing and informative graphics that tell a story. You’ll help people see the world in new ways and make complex concepts more understandable.

There is a growing demand for skilled data visualization professionals as more and more organisations recognize the power of data visualization to communicate information effectively. A career in data visualization can offer job security, good earning potential, and the opportunity to make a real difference in the world.

Understanding data and its structure for perfection:

Data visualization is creating and manipulating visual representations of data to help people understand it better. It is a powerful tool for exploring and understanding large data sets and can be used to answer questions, find patterns, and support decision-making.

There are many different data visualizations, each with its strengths and weaknesses. The type of visualization you use will depend on the kind of data you have, the question you want to answer, and your audience.

Choosing the right tool for data visualization

Here are some things to consider when selecting a tool:

– The type of data you are working with: Some tools are better suited for specific data types than others. For example, a tool like Excel might be a good choice if you have a lot of numerical data. A tool like Tableau might be better if you have more categorical data.

– The level of complexity: Some tools are better suited for simple visualizations, while others can handle more complex ones. If you need clarification on what you need, it might be worth starting with a more straightforward tool and then moving on to something more complex.

– Your budget: There are both free and paid options available, so you’ll need to decide what you’re willing to spend. Remember that even the free options can require a significant investment of time to learn how to use them properly.

How can a data analytics course help you keep up with industry developments?

Data analytics is an integral part of keeping up with industry developments. By taking a data analytics course, you can learn how to collect and analyze data effectively. This will help you decide where to focus your efforts and how to improve your products or services. In addition, a data analytics course can also help you keep abreast of new developments in the industry so that you can be prepared for changes that may impact your business.

Learn and Grow with Imarticus Learning:

The Data Analytics course at Imarticus Learning intricately focuses on providing an integrated learning experience. With one-of-its-kind career support services, our programs are built to support students as they take a step into their careers with a new perspective. While you become an expert in Data Analytics, you also get access to over 500+ placement partners and explore unlimited opportunities.

This is a full-time 6-month program on weekdays for fresh graduates or early career professionals.

Upon completion, students earn a Postgraduate Program in Data Science and Analytics certificate that adds considerable value to their professional credentials.

Course USPs:

The career services team can help you find a new job with data analytics and machine learning skills.

Redesign your resume professionally and highlight your strengths in the best possible way.

Prepare students for interviews and unique build training module.

Dedicated & Expert mentors for curriculum to ensure up-to-date academic learning

National-level data science competition to showcase data science skills for real-world applications

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

Ways in which you can boost your supply chain management strategies

Posted on February 23, 2023April 6, 2024 by Imarticus Learning

The supply chain is the backbone of any business, and visibility is key to ensuring its efficiency. There are many ways to improve visibility in your supply chain, including using technology, data analytics, and collaboration.

Technology can be used to track assets and inventory levels, as well as to monitor supplier performance. Data analytics can identify patterns and trends in data, which can help you make better decisions about your supply chain. Collaboration with other businesses in your supply chain can also improve visibility and communication.

Need for Streamlined Processes in Supply Chain Management

The need for streamlined processes such as automation, standardization, and process mapping is driven by the desire to improve efficiency and effectiveness within the supply chain. Companies can minimize errors and optimize performance by automating tasks and standardizing procedures. In addition, process mapping provides a visual representation of the workflow, allowing for easy identification of bottlenecks and potential improvements.

Factors to consider when upgrading strategies for supply chain management?

When upgrading strategies for supply chain management, there are several key factors to consider, including:

Building Strong Relationships: It is important to build strong relationships with suppliers, manufacturers, distributors, and customers to ensure smooth and effective communication, increase trust, and reduce the risk of disruptions.
Managing Risk: Supply chain management strategies should include risk management plans that consider potential disruptions such as natural disasters, economic downturns, and changes in government regulations.
Embracing Innovation: Supply chain management strategies should also embrace innovation and technology, such as artificial intelligence, blockchain, and the Internet of Things, to improve visibility, increase efficiency, and reduce costs.
Sustainability: A sustainable supply chain strategy should consider the environmental and social impact of sourcing, production, and distribution and aim to reduce waste and emissions and improve workers’ lives in the supply chain.
Cost Optimization: Strategies for supply chain management should aim to optimize costs, including reducing costs associated with materials, transportation, and labor while maintaining quality standards.
Agility and Flexibility: Supply chain strategies should be agile and flexible, allowing organizations to adapt quickly to changing market conditions and customer needs.
Data Analytics: Strategies should also include data analytics to provide insights into supply chain performance and help inform decision-making and continuous improvement initiatives.

Tips for students to build a career in Supply Chain Management?

Here are some tips for students interested in building a career in supply chain management:

Gain a solid understanding of the fundamentals: Study the basic concepts of supply chain management, including logistics, procurement, operations, and production planning.
Develop technical skills: Acquire skills in data analysis, project management, and technology such as enterprise resource planning (ERP) and supply chain management software.
Gain practical experience: Participate in internships, co-op programs, or work part-time in a supply chain-related role to gain valuable experience and make industry connections.
Network with industry professionals: Attend industry events, join professional organizations, and connect with supply chain professionals to build your network and learn from experienced practitioners.
Stay up-to-date with industry trends: Read industry publications and follow relevant organizations on social media to stay informed about current trends and developments.
Focus on continuous learning: Pursue additional education and certifications to continue developing your knowledge and skills and demonstrate your commitment to the field.
Develop soft skills: Soft skills such as communication, problem-solving, and collaboration are also important in supply chain management and can help you build effective relationships with colleagues and partners.
Seek out mentorship: Find a mentor who can provide guidance and support as you build your career in supply chain management.

Build Strategic SCM Career with Imarticus Learning:

If you want to build a successful career in the Supply Chain and Operations industry, consider enrolling in the Chief Supply Chain and Operations Officers online training from Imarticus Learning. This 10-month leadership program at IIM Raipur is designed for senior supply chain professionals. You will gain a comprehensive set of strategic, operational, personal, and technological skills to become an effective SCM manager.

During the program, you will have the opportunity to collaborate with other professionals in your field and embark on a unique learning experience. The course includes a simulation exercise where learners work on live-global projects. This supply chain management strategies course provides hands-on experience in balancing the responsiveness and efficiency of a supply chain.

Course USPs:

Develop leadership skills and prepare for global interactions
Become expert in SCM and make strategic decisions
Gain insight from pioneering SCM leaders
Opportunity to connect with alumni at IIM Raipur.
Join the Alumni league of Professionals at IIM Raipur

For further details, contact the Live Chat Support system or plan a visit to one of our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

How impactful is python in machine learning

Posted on February 23, 2023April 1, 2024 by Imarticus Learning

Python is one of the world’s most widely used and popular programming languages. This is because, in many areas, it excels, for instance, in creating video games, embedded programming and even manufacturing mobiles. Also, Python is essential for machine learning (ML) and artificial intelligence (AI). In fact, all the data science online training programmes have a huge portion of their courses allotted for just Python. Notably, a good machine learning certification course gives a detailed knowledge of Python. Read on…

Why is Python important for machine learning?

The partnership of Python and machine learning has made its place in data science and IT. Python is used for various tasks, from software application development to web development. Here are some reasons why Python is important for machine learning:

Flexibility

Python is an extremely flexible language, and for this reason, it can be used with other languages as well. It allows developers to choose between scripting or OOP. Python also does not need the recompilation of source code. So, it is very easy to see results, and the operations are also easily done. Thus, there is no room left for errors.

Very rich ecosystem

Python is a high-level coding language with a vast ecosystem of frameworks, tools and libraries. These libraries and tools are equipped with pre-written codes that help users carry out a large number of functions. This also saves a significant amount of time while coding.

Consistency and simplicity

The codes written in Python are concise and readable. Artificial intelligence (AI) and machine learning (ML) often have complex algorithms, but Python’s simplicity enables one to create reliable systems. It is straightforward and easy to understand, and hence easy to learn.

Independence of platform

This is a binary platform and an independent programming language. Python can run on various platforms and different software architectures. One can write the program, compile and then run it on different platforms. Python runs on various platforms like Macintosh, Windows, Linux and macOS. Integrating other languages like C++, Java and R, with Python is also very easy.

Strong community support

Python has very strong community support, although it is a language that is open source. It is free and has a large number of very useful tools and libraries. Developers can also discuss their problems in forums or chat with other developers to find some solutions. Python also has corporate support with companies like Google, Instagram, Facebook, Quora and Netflix.

Great data visualisation

The presentation of data is extremely important in machine learning and data science. Python has been really helpful in presenting specific data in a human-readable format. Python libraries have great data visualisation tools, which help set up the data, figures, parameters and plotting. These kinds of libraries help present the data in different forms, like histograms, images, line plots, contouring and pseudocolour, three-dimensional plotting, and multiple subplots and paths.

But, why Python?

Python is one of the foundational languages in machine learning. However, the projects are different from a typical software project, which signifies that deep knowledge of the subject is required. The crux of having a career in machine learning is by knowing Python because it is both flexible and stable.

It is very important to have the right sets of libraries and an environment well-structured for developers looking forward to solving programming challenges. This is where the pre-written sets of libraries have a huge part in helping them with the sets of frameworks and libraries to choose from, for example:

Keras – Used for deep learning and machine learning models
NumPy – Used for data manipulation and data cleaning
Scikit-learn – Used for data modelling
OpenCV – Used for image processing
Seaborn – Used for data visualisation
Caffe – Used for image processing purposes

It becomes easier for developers to create a product faster with these solutions. More so, the team of developers need not waste time searching for libraries which suit their project the best. The use of an existing library is the best for implementing further changes.

It is also observed that around 150,000 online repositories have packages which are custom built for Python. For example, Python libraries like NumPy, Matplotib and SciPy can be easily installed in programmes that run on the language.

Conclusion

The implementation of Python in different kinds of machine learning projects and various other tasks has made the work easier for data scientists, machine learning engineers and developers. Python can be used to compose the available data and analyse that, which makes it the most popular programming language in data science. The IIT Roorkee data science and machine learning course offered by Imarticus is an excellent programme that helps you to start a career in machine learning with an intricate knowledge of Python.

What is the importance of aggregate planning in the supply chain

Posted on February 23, 2023April 1, 2024 by Imarticus Learning

Aggregate planning for the entire supply chain could be an alternative if your manufacturing facility is inefficient and poorly planned. If a manufacturing company wants to increase operational efficiency, it must prioritise aggregate planning in supply chain management (SCM).

Aggregate planning methods can be useful when trying to predict supply chain needs several months in advance. With this method, you can see the big picture of the materials you will need to produce all the goods that people want to buy.

To receive bulk discounts and avoid shortages, it is best to place orders for the entire planning period. Knowing the ins and outs of aggregate planning and the supply chain is crucial before introducing it into your operations.

Examples of aggregate planning in supply chain management

The following are all examples of aggregate planning in SCM:

Good demand prediction
You’ll need to know the demand size for your goods before you can plan when to order supplies. Future demand for your products can be accurately anticipated by utilising historical data. This is in addition to the trends and predictions made by experts in your field. You will need the resources indicated by your forecast. This will tell you how much to produce to satisfy the demand and maintain a constant rate of production.
Production of goods and services

It is proportional to the accessibility of necessary resources (equipment, labour force, efficiency). You may check with your production department to find out how many products could it make within your time range. This might not be adequate to meet the needs of the public. But, making use of available production resources can help you set reasonable product output goals. Consider the possibility of worker and machine absences also.
Constraints on available funds

Investing in something is fine, but you need to remember that your spending plan has limits. Your options may be constrained by your budget in certain situations. Think about the cost of interest for any loans you might need to start up your business. To sum up, save up enough money to cover your future expenses.

The significance of aggregate planning

Achieving the organisation’s long-term goals depends in large part on aggregate planning.

This leads to a more contented and joyful workforce.
Lessen fluctuations in staffing levels.
Determines available funds in the near term.
Contributes to optimal space utilisation.
Accomplishes organisational aims and objectives.
Aids in balancing supply and demand.
Reduces expenditures related to varied stocks, hence minimising stocking costs.
Maximises service to clients by balancing demand and supply, and reduces wait times.
Provides higher value to customers.
Makes the most of available resources in manufacturing.
Utilises the potential of various tools.
Keeps production rate fluctuations to a minimum.
Reduces a company’s overall operating expenses and boosts its bottom line so it may better pursue its objectives.

Strategies to implement aggregate planning

If you are facing a problem with aggregate planning, there are multiple strategies you can adopt. Here are some that can help:

Level strategy

The level method seeks to maintain steady output and headcount. Businesses must have accurate demand estimates to determine whether to ramp up or slow down production. This is in response to seasonal fluctuations in client demand. A level strategy provides staff consistency. One of the disadvantages of a level strategy though is an increase in backlogs and stocks.

Chase tactics

The chasing strategy seeks to dynamically balance supply and demand. The advantages of a chase strategy include having fewer goods on hand and fewer late jobs. The disadvantage is a drop in output, quality, and morale at work.

Using a complicated method

Hybrid strategies aim to strike a middle ground between level and chase tactics.

Before you begin your aggregate strategy

There are a few things to think about before beginning an aggregation plan. Have a look:

Knowing the goals of the overall strategy and the fallout if those goals aren’t met is a prerequisite.
Knowing how many orders make up your aggregate plan, and whether or not those orders will conflict with one another.
Determining which demand plans will not interfere with your aggregate strategy.
Thinking about whether or not the benefits outweigh the costs of implementing a comprehensive strategy.

The term “aggregate plan” is used to describe a strategy that is broad enough to apply to multiple industries. The change could be little, like introducing a new line of products, or significant, like expanding into an entirely new market.

Conclusion

Are you interested in understanding the basics of operations and supply chain management? Then, Imarticus Learning has just the right supply chain management course in association with IIT Roorkee. With this course, you can learn the basics and take your organisation to the next level. Contact their representative for more details.

Artificial Intelligence – How certification course can help boost your AI skills

Posted on February 23, 2023April 6, 2024 by Imarticus Learning

Artificial Intelligence (AI) is rapidly transforming how we live and work. As businesses increasingly adopt AI technologies, the demand for skilled professionals in this field is skyrocketing. With the potential for high-paying jobs and a wealth of opportunities, AI is quickly becoming the most sought-after skill in the job market.

With so many new technologies and concepts emerging, how can you stand out and stay ahead of the curve? The answer lies in certification. In this blog, we will explore how a certification course in AI can give you the skills, knowledge, and confidence to excel in this dynamic and growing field.

From building a solid foundation in AI principles to learning the latest tools and techniques, a certification course will help you stay ahead of the curve and take your career to the next level. So, whether you’re a student, a professional, or just someone who wants to dive into AI, read on to find out why a certification course can help you achieve your goals.

What is Artificial Intelligence?

Artificial intelligence, or AI, is the branch of computer science that deals with building machines. Imagine a world where machines can understand natural language, see and recognize objects, play chess better than humans, and even drive cars independently. This is the world of AI.

Siri and Alexa are virtual personal assistants powered by AI, capable of understanding and responding to voice commands. They can set reminders, play music, answer questions, and tell jokes. Another example is self-driving cars, which use AI to navigate roads, avoid obstacles, and make split-second decisions to ensure the safety of passengers and other drivers.

AI is also revolutionizing the medical field with systems that can analyze vast amounts of medical data and help doctors diagnose diseases more accurately. In the financial sector, AI algorithms can analyze stock market trends and make predictions that allow investors to make informed decisions.

In short, AI has the potential to transform almost every industry and make our lives easier and more convenient. With its ability to learn and adapt, AI has the power to solve some of the world’s most pressing problems and shape the future in ways we can’t even imagine. So, if you’re looking for an exciting and dynamic field to get involved in, consider exploring the world of Artificial Intelligence!

How to learn Artificial Intelligence?

Learning Artificial Intelligence (AI) has never been easier and more accessible. Anyone can start their AI journey with many online resources, tutorials, and courses.

How to get started:

Build a solid foundation in mathematics, including linear algebra, calculus, and statistics. These subjects provide the mathematical underpinnings of AI and will be essential for understanding advanced concepts.
Learn a programming language commonly used in AI, such as Python or R. Some online tutorials and courses can help you get up to speed with these programming languages.
Familiarize yourself with the basic concepts of AI, such as machine learning, computer vision, and natural language processing. You can do this by taking online courses, reading books, or following tutorials.
Practice your skills by building small AI projects. This will give you hands-on experience and help you understand how AI algorithms work in practice.
Stay up-to-date with AI advancements by following industry leaders, attending conferences, and participating in online communities.

AI is a rapidly growing field with unlimited potential. So, to make a difference, learn something new, or have fun, start learning AI today.

Discover IIT artificial intelligence and machine learning course with Imarticus Learning.

Are you prepared to advance your career in a new tech-focused field? Enroll at the E & ICT Academy for their comprehensive IIT AI ML course! You can get ready for the roles of Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer with this intensive 9-month program.

Through real-world projects from various industries, you will develop a solid foundation in data science concepts and work with industry experts to learn how to apply machine learning, deep learning, and AI techniques practically.

Course Benefits For Learners:

Students work on 25 real-world projects to develop real-world business experience and prepare for a rewarding data science career.
With a certificate recognized by the E & ICT Academy, IIT Guwahati, and a credential supported by Imarticus Learning, students can attract employers’ attention and demonstrate their skills.
Students who complete this IIT artificial intelligence course land lucrative jobs in the machine learning and artificial intelligence sectors.

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

Learn Python Online In 2022: Zero To Mastery

Posted on February 23, 2023April 5, 2024 by Imarticus Learning

Python is a high-level programming language that Guido van Rossum created in 1989. It’s also great for beginners because it has a simple syntax that makes it easy to write code. Python is an open-source language, and you can download it for free. You can use Python on your computer or in the cloud!

Python is the most popular language for data scientists and AI. A common myth is that it’s hard to learn Python, but this guide will show you how to learn Python online in 2022!

How to learn Python online?

Python is an interpreted, object-oriented, high-level, dynamically semantic programming language. It is particularly appealing for Rapid Application Development and for usage as a scripting or glue language to tie existing components together due to its high-level built-in data structures, dynamic typing, and dynamic binding.

You can learn Python online, but you might want to consider taking a class. There are many great ways to learn Python online.

Here are just a few:

Python tutorials
Python documentation
The Python community (forums and meetups)
Books and videos on YouTube.

Here are a few reasons to learn Python in 2022

If you’re just getting started with coding and are wondering whether or not you should learn Python, here are three reasons why it’s a great choice:

Python is easy to understand. The syntax is relatively simple compared to other programming languages. There are also plenty of tutorials available online that explain how to use its various functions.
Python is suitable for general-purpose programming. Whether you want to write scripts for your personal computer or build web applications on top of the Django framework, Python has all the tools necessary for creating basic software programs in various domains like science and finance.
Python can improve your coding skills across multiple languages: Most programming languages have used the concepts behind object-oriented design since their creation in the 1990s. So once you’ve mastered using them with Python’s syntax structure, it should be reasonably easy to switch to another language.

Bonus reason to learn Python as a data scientist.

Another great reason to learn Python is that you can use it for data analysis and machine learning. If you’re looking for a language that can help you with your career in data science, then Python is the best choice for many reasons:

It’s easy to learn and use
It’s easy to read
It’s easy to maintain
It’s easy to share (useful for collaboration)
Python is easy to scale

Discover Python Training courses with Imarticus Learning

We build predictive models that improve business outcomes by learning how data science gets applied in the real world. This ensured placement program is appropriate for professionals and recent graduates who wish to pursue a career in data science and analytics.

Course Benefits For Learners:

Learn how to use Tableau to master the abilities of Python for data science, SQL, data analytics, machine learning, and data visualization.
25 in-class, real-world projects will help you master data science abilities. Participate in hackathons, capstone projects, and mock interviews to develop practical skills.
Our curriculum includes capstone projects, real-business initiatives, pertinent case studies, and mentoring from relevant industry professionals to assist you in becoming a skilled data scientist.