Top 15 Data Visualisations in 2023 and what to learn from them

Many different types of data visualizations can be used in real-world scenarios. Some common examples include bar graphs, line graphs, pie charts, and scatter plots. Each type of visualization has its strengths and weaknesses, so it is vital to choose the right one for the specific scenario.

For instance, bar graphs are good for comparing data points side-by-side, but they can be challenging to read if there are a lot of data points. Line graphs are good for showing trends over time, but they can be difficult to compare multiple data sets. Pie charts are good for showing proportions, but comparing data sets with different total values can be difficult. Scatter plots are good for showing relationships between two variables, but they can be challenging to interpret if there are a lot of data points. 

Choosing the correct type of visualization is important, but it is also important to ensure it is effective. This means using colors and labels effectively, selecting an appropriate scale, and avoiding cluttered or confusing visuals. With so many things to consider, it can be helpful to look at examples of data visualizations that have been effective in real-world scenarios.

What are the Key Trends in Data Visualization in 2023? 

Data visualization is an incredibly important tool for understanding data, and the trends in data visualization are constantly evolving. Here are some of the key trends in data visualization that we anticipate seeing in 2023:

  1. Augmented reality (AR) and virtual reality (VR) data visualizations will become more common as technology advances.
  2. Visualizations will become more interactive, allowing users to manipulate and explore data in new ways.
  3. Data visualizations will become more accessible, emphasizing mobile-friendly and web-based solutions.
  4. We will see more use of natural language processing (NLP) to generate insights from data visualizations.
  5. Personalized data visualizations will become more prevalent, tailored to the specific needs of individual users.

Key skills and techniques to learn from data visualization trends

To create compelling data visualizations, there are some key skills and techniques that you can learn from studying the trends in this field. Here are some of the most important things to keep in mind:

-Choose the right chart type for your data: A wide range of different chart types are available, and each one is better suited to displaying certain kinds of data. When choosing a chart type, select one that effectively showcases the information you want to communicate.

-Make use of color and other design elements: Colour can be used to significant effect in data visualizations, helping to highlight certain aspects of the data or drawing attention to particular patterns. Other design elements, such as line thickness and labels, can also be used to add further context and clarity to your visualizations.

– Keep it simple: Data visualizations should be easy to interpret at a glance. Avoid using too many colors or charts, and stick to a clear and concise layout.

– Use interactivity wisely: If using interactive elements such as tooltips or filters, ensure they genuinely add value and do not simply clutter up the visualization. Interactive features should help the viewer understand the data more quickly, not confuse things.

The future of data visualization and the input a data Analytic Course can provide

The future of data visualization is incredibly exciting. We are only just beginning to scratch the surface of what is possible with data visualization, and there are many new and innovative ways to visualize data that we have yet to explore. A data analytics course can provide the skills and knowledge you need to create unique data visualizations. You will learn how to communicate complex information using visuals effectively and how to design visualizations that are both informative and visually appealing.

Learn and Grow with Imarticus Learning:

Are you looking for a postgraduate Program in Data Science and Analytics? Here is an excellent opportunity to build your data science and analytics career with a job guarantee program. The course benefits fresh graduates/early career professionals with Tech backgrounds.

Course USPs:

  • Classroom & Live Online Training
  • Learn the real-world application of data science
  • Build analytical models that enhance business outcomes.
  • Job interview guaranteed for recent graduates and professionals. 
  • Gain practical knowledge to work as a data science professional.
  • Students placed at over 500 top-tier partner organizations
  • Job-specific Curriculum for practical learning 
  • Gain experience in Python, SQL, data analytics, power BI, and Tableau
  • One-on-one career counselling to ensure employment.

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.

Scope of incident handling in cybersecurity

The scope of cyber incident handling is a rapidly evolving issue, resulting in a need for a new paradigm. More than ever, businesses are now required to ensure that their networks and data get protected from external threats and that internal applications are secure against all unauthorized access. This post will briefly explain incident handling and how it differs from other disciplines in cybersecurity. 

What is incident handling?

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Incident handling refers to the processes and procedures used by organizations to manage and resolve incidents that occur within their IT systems, networks, or organizations. 

It involves the following steps:

  • Detection: An incident gets detected through various means, such as alerts from security systems, user reports, or proactive monitoring.
  • Response: The incident response team is activated and assesses the situation to determine the scope and impact of the incident.
  • Containment: To prevent further damage, the incident response team takes action to contain the incident, such as isolating affected systems or blocking suspicious network traffic.
  • Analysis: The incident response team investigates the incident to determine the cause, the extent of the damage, and the data involved.
  • Remediation: The incident response team implements a plan to repair any damage and restore regular operation of the systems or networks affected.
  • Recovery: The incident response team verifies that the systems or networks are operating normally and that all data has been recovered.

How incident handling differs from other disciplines in cybersecurity?  

Incident handling is a critical discipline within the field of cybersecurity that sets it apart from other related disciplines. While other disciplines may focus on preventative measures such as network security, incident handling focuses on effectively responding and recovering from security incidents once they occur. 

Let’s compare incident handling to some other cybersecurity disciplines:

  • Penetration testing: Penetration testing focuses on proactively testing an organization’s defenses to identify vulnerabilities before an attacker can exploit them. On the other hand, incident handling is reactive and focuses on responding to incidents that have already occurred and mitigating their impact.
  • Compliance: Compliance focuses on ensuring that an organization adheres to various regulations and standards. While also concerned with compliance, incident handling goes beyond it to provide a comprehensive response to security incidents.
  • Network security: Network security focuses on protecting an organization’s network from external threats by implementing firewalls, intrusion detection systems, and other security controls. Incident handling is not limited to just the web and focuses on responding to security incidents across the entire organization.

Why is incident handling required for a business?

Incident handling is essential for any business, regardless of size or industry. 

The following are some reasons why incident handling is crucial for a business:

  • Minimizes Damage: Incident handling enables organizations to respond quickly and effectively to security incidents, reducing the impact on the organization and its customers. By containing the incident and mitigating its effects, incident handling can prevent the loss of sensitive data, minimize downtime, and minimize financial losses.
  • Protects Reputation: Security incidents can quickly spread, damaging an organization’s reputation and eroding customer trust. Incident handling helps organizations respond rapidly and effectively to these incidents, reducing the risk of long-term damage to the organization’s reputation.
  • Maintains Compliance: Many industries have strict regulations and standards that organizations must adhere to. Incident handling helps organizations comply with these regulations by responding to security incidents and protecting sensitive data.
  • Increases Productivity: A security incident can disrupt operations, leading to lost productivity and increased costs. Incident handling helps organizations respond to security incidents promptly and effectively, minimizing disruptions to operations and maximizing productivity.

Explore a career in cybersecurity with Imarticus Learning

Do you want to master digital defense? You can obtain the knowledge and abilities required for success in today’s tech-savvy world from an online cybersecurity analyst course. By learning an ethical hacking certification course, join the ranks of professionals working as penetration testers, subject matter experts, analysts, incident handlers, or SOC Team members. Your ticket to becoming a cyber security celebrity! 

 Course Benefits For Learners:

  • This cyber security course with placement is the perfect way to prep for a career in ethical hacking and penetration testing! 
  • Our instructors will help you become a cybersecurity analyst by providing rigorous SOC team training and teaching essential problem-solving techniques, arming you with the knowledge to dominate cyber threats!
  • This cyber security training will cover the fundamentals of security practices, techniques, tools, and tactics, which come with a job interview guarantee. 

Learn how to create and sell your content marketing strategy with this certification

Building a content marketing strategy is critical for business success. As a marketer, we need to have a deep understanding of the role of content and how it can be used effectively to create business impact.

As traditional marketing is becoming less effective by the day, it has become important for marketers to focus on content marketing to create, retain and engage a clearly defined audience and drive profitable customer action.

Learning content marketing needs a structured approach by way of a content marketing certification course or a digital marketing course with placement assurance. Some institutes offer content marketing courses in a bundle with the SEO course as well.

Let us understand how you can create and sell the content marketing strategy with a structured approach:

What is a content marketing strategy?

A content marketing strategy is a customized strategy that uses various content forms like text, video, audio, images etc as part of the mix to attract, engage and retain an audience.

Building a robust content marketing strategy helps a business gain recognition and establishes expertise in the industry.

With increased brand awareness, the brand is usually found at the top of the mind of the consumer when it is time to buy what the brand is selling.

Importance of content marketing

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In today’s modern age, it is critical for any business to build a content marketing strategy as it helps to stand out from the crowd.

According to a report, businesses with a blog section on their website can generate 67% more leads as compared to other companies. Similarly, 88% of people credit a branded video as one of the reasons that convinced them to buy the product or service.

In such a scenario, content marketing can help you generate more leads, increase the online visibility of the brand, boost loyalty and improve authority among the target audience. With the increasing level of competition, it has become important to have a content marketing strategy in place.

Knowing how to build a content marketing strategy can emerge as a strong point on anyone’s resume. We need to have a clear understanding of the end objective of the content marketing strategy and how each component will work towards achieving the goal.

How to learn content marketing?

We can start the journey to learn content marketing by opting for a content marketing certification course. There are several standalone content marketing courses available and it is also taught as part of a digital marketing course. Some trainers even bundle several individual courses like SEO courses, paid ads courses and content marketing courses to the learners.

These are the various routes with which we can get exposed to the concept of content marketing. It is better to opt for an overall digital marketing course that can help you with an overview of the various elements involved in digital marketing. For instance, a good digital marketer needs to have a clear understanding of several aspects involved in building a robust digital marketing strategy. For instance, a business requires an SEO strategy, paid ads, email marketing and other pillars in the digital marketing strategy to be successful.

As a result, opting for an overall digital marketing course will provide a strong understanding of all the aspects of digital marketing including building a content marketing strategy. This approach will help you get better at content marketing and also help in evolving your role as a professional digital marketer.

Once we have completed an overall digital marketing course from a reputed platform, a standalone content marketing course could be the next step which can teach about advanced concepts. At the same time, content marketing has several channels that can be considered. It will require some level of understanding to differentiate between each one of them and how everything will come together for business success.

The Postgraduate Program in Digital Marketing from Imarticus Learning can help in gaining an overview of the various components of digital marketing. It also covers the content marketing module in detail and will help in providing a deep learning experience in building a robust content marketing strategy.

The content marketing module is placed as early as in module 3 and runs for over 2 weeks in which conceptual and practice-based information is shared with the learners. As the course comes with a placement guarantee, we can be certain that it is the best digital marketing course with placement assurance.

As the course offers case studies from large brands, we not only get theoretical knowledge but also see the concepts learned live in action. The case studies are actively used in the content marketing module as successful campaigns from large brands help give the required direction and motivation to build a robust content marketing strategy.

Technical Courses From IIT – Wherever You Are

Few educational institutions have contributed more to nation-building than IITs. Over the years, the Indian Institutes of Technology have helped build our most capable workforce. It has been seven decades since the first of these institutions were established. One reason the IITs have stood the test of time is that they have adapted to the changing times. They have always stayed ahead of the game and led the education reformation in the country. The need of the hour now is online technical courses. This need has taken great precedence in the last few years.

Why are IIT certification courses the way to go?

Corporate Training

IIT online courses highlight and encourage academic growth. Students have a chance to engage in cutting-edge research. High quality of research is the highlight of these undergraduate, postgraduate, and doctoral programmes. The reputed alumni working in the inudstry also bring to light the values of the educational institutions. These online technical courses offer students a chance to connect with scientists, technicians, and business managers across domains. They share their real-world expertise with the learners.

Interaction with the vast network of IIT alumni and industry experts ensures that students are exposed to new ideas and theories. These online Certificate Courses From IIT ensure that one can avail of excellent resources and use these courses to move forward in their career.

Why Imarticus Learning?

There are many benefits of attending IIT certification courses. Such high-quality education is not always readily available to everyone. Imarticus Learning ensures that you get access to such training with its corporate training programs. Similar to IIT certificate courses online,  Imarticus Learning has the potential to change one’s life. The high-quality corporate training methods ensure that an individual is provided with a world-class education. These training programs emphasise theoretical learning as well as practical knowledge. This combined approach helps a person stay ahead of the ever-changing business landscape.

Benefits of Imarticus Training 

  1. Through Imarticus Training you can improve your employability chances. With its aid one become an asset to their organisation. Such training leaves one more equipped to handle any challenges that arise in day-to-day business.
  2. One can’t ignore skill development in business today. Imarticus Learning methods emphasise honing already existing skill sets. This constant development ensures that one can fare well in the ever-changing business environment.
  3. Imarticus provides industry-required certifications that are sure to increase employability.

Why Imarticus Learning is the Way to Go?

  1. Imarticus Learning is incredibly useful for new graduates. It provides the right exposure and training to people who wish to get started in well-reputed organisations. At the end of a long university experience, it can be difficult to make the transition to a job. The corporate training offered by Imarticus makes the transition much easier.
  2. Mentorship in professional life is hard to come by. Imarticus Learning provides people with mentors and a line of direction. These mentors can make your work easy with their expertise.
  3. People who wish to become assets to their companies can avail of Imarticus Leaning’s benefits. Such training ensures that you are a productive employee.

Given the plethora of benefits that Imarticus Leaning’s programs bring, it makes sense to try them out. Such training can make one a better employee. They not only promote excellence spirit but can also be major factors behind the country’s economic progress.

Pros & Cons- Is it worth becoming an investment banker?

Investment banking is probably one of the top-level jobs all over the world. It is a perfect blend of high pay, long working hours, excellent people’s skill, fierce competition, and much more. When it comes to deciding a career path, various factors determine the choice. Knowing that an investment banking career could be a very challenging yet interesting career option, in the long run, some confusing questions are bound to occur to the mind.

Investment Banking course

The most important one is ‘is it worth becoming an investment banker?’. Or ‘what could be the pros and cons of investment banking?’. Thankfully, at Imarticus, we offer investment banking certification courses falling under the CIBOP program, which can boost your career path. 

Pros of Investment Banking

  • When you would start your career as an investment banker, you would receive a high joining bonus which would make you want to work more in this field.
  • Extensive networking with large enterprises and their people is also a trait of an investment banker. You can have the opportunity to connect with the people in big firms up to a very personal level as well. This opens the gates to building your network of people.
  • Every day is a new day in the life of an investment banker. You would get the opportunity to learn many different subjects from your manager, colleagues, and even customers. Not just an expert in investment banking, you would develop many other skills like financing, taxing, accounting, and of course people’s skills.
  • It can also teach you the skill of becoming a multi-tasker. Since you work with and for multiple people at the same time, you learn to prioritize your tasks in an effective manner.
  • Nonetheless, an investment banking career is a high-paid job. You would get outstanding compensations and bonuses for your work throughout the year.
  • Since everything is online, most of the work can be done from home. If your enterprise approves this, then you can work comfortably and efficiently at home. 

Cons of Investment Banking

  • Intense performance competition in investment banking has begun to affect personal lives as well. There is a shotgun every day at the head of an investment banker to give his career-best performance every single day. If not, there would be many others in line as a replacement.
  • Long tedious working hours would put your work-life balance at stake. You might need to do overtime as well to meet the target annual goals which might be very exhausting. Sometimes, even during your vacation or weekends, you cannot avoid customer calls and might need to work more than 15 hours a day.
  • Some customers can be very difficult to handle and it can be challenging to work with them and understand their needs. They might put up false and unrealistic goals in front of you.
  • There is always an element of fear attached to investment banking in terms of job security. During difficult financial times, it might become very difficult to find another job in case your current employment contract ends or if you are fired from the company in case they do not have enough funds to support you. 

Conclusion

So after having read extensively the pros and cons of investment banking, what should you choose? Although it depends on you and your interests, you can be sure of the investment banking certification courses offered by Imaticus.

These investment banking courses would help you become a successful investment banker in the future and would teach you the ways and tricks of handling all the above-mentioned cons like a professional. 

Advances in Environmental Accounting

Environmental accounting, which is also known as green accounting, is an important tool that helps in managing the operational and environmental costs of the Earth’s natural resources. It incorporates environmental and economic data, either in the public or government sectors.

Gaining knowledge of environmental accounting is beneficial if you want to work as an Environmental Accountant. You can easily do this by enrolling in accounting and finance certification courses such as the US CMA program. Keep scrolling to learn more about environmental accounting and how taking part in the CMA course can be challenging but fulfilling in the long run,

What is Environmental Accounting?

Environmental accounting most often refers to environment-specific costs which might include waste disposal costs and liability costs. When a firm modifies its processes and products and also the environmental impacts, the costs that arise are part of environmental accounting.

All types of data a firm collects can be part of the accounting data. Some of these data are input costs, market costs, and legal costs. Environmental accounting is a relatively new concept but it is gradually catching on.

The natural resources of a nation such as water, forests, and air are commonly known as the environment. A firm uses these resources in their activities which affects them. Proper accounting data becomes necessary in such circumstances to show the impact of a firm on the environment. Environmental accounting comes into function during this as it records the cost and estimates arising from the activities.

Environmental Accounting in the Private Sector

The private sector consists of companies in various industries. Environmental accounting used in a systematic matter by companies showcases the environmental costs incurred. The support of management is necessary for the working of environmental accounting.

If a company wants to ensure environmental accounting, then it must create teams consisting of environmental accountants, engineers, chemists, production managers, and operators. The individual members of the team need to work together to realise the importance of environmental accounting.

Environmental Accounting in the Public and Government Sector

The Indian Constitution provisions the protection of the environment through various laws and articles. A few of these include:

  • The Factories Act 1948
  • Water (Prevention and Control of Pollution) Act 1974
  • Water Biomedical Waste Rules 1998
  • Biological Diversity Act 2002
  • Indian Penal Code
  • Forest (Conversation) Act 1980
  • Indian Fisheries Act 1987

The Department of Environment provides a healthy environment to the country. According to the Companies Act 2013, large companies have to comply with the CSR or Corporate Social Responsibility Rules, 2014. CSR ensures that the company follows the law to provide ecological stability, animal welfare, and conversation of natural resources like land, air, and water.

As per the Ministry of Environment, all organisations have to disclose the measures they adopt for waste mitigation, waste recycling, waste management, and environmental protection. Only a handful of the organisations have disclosed adequate environmental information. There is a need for the development of a precise environmental policy. 

Benefits of Environmental Accounting

The pros of environmental accounting heavily outweigh the cons. Here is an overview of some of the benefits of this type of accounting.

  • Protection of the environment – The primary goal of any business firm is to maximise its profit. The aid of ecological and social systems helps in this goal. Environmental accounting keeps a track of the natural resources that the firm utilises for its functioning. The firm cannot harm the environment or cause pollution.
  • Environmental accounting showcases the costs of using natural resources and the income from them. There is transparency in the presentation of data.
  • Environmental accounting keeps track of the companies to ensure that they are taking care of their social responsibilities.
  • The environmental costs can be reduced by the policies of business firms. Green technology can come in handy for decreasing environmental costs.
  • Once you understand the environmental costs of a product, you can take note of it and utilise it. The firm can achieve better pricing of products and also give importance to environmental issues.
  • The development of a business firm depends directly on environmental accounting along with environmental performance.

What does an Environmental Accountant do?

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Getting CMA certified is the first step to becoming an Environmental Accountant. You can become a CMA by getting the CMA certification from a reputed institute. 

The role of an Environmental Accountant is to find out the environmental costs of a firm. They track the origins of the costs so that they can be reduced in the future. An Environmental Accountant can reduce the company’s costs by suggesting the usage of alternate products or chemicals. 

The identification of environmental costs is one of the big tasks of the person. This can aid the company to design better products using lesser natural resources on the planet. The job of an Environmental Accountant is multi-faceted. They might identify a new income source to keep the company running.

They analyse financial trends over a period of time to form models for future trends. Stakeholders communicate with an Environmental Accountant whenever an environmental incident takes place. They prepare reports for the company which would help in the evaluation of profits.

An Environmental Accountant may even have additional job roles such as making the budget and managing human resources.

Conclusion

Environmental accounting is the need of the hour. Hiring an Environmental Accountant can prove to be hugely advantageous for any organisation. The organisation can keep track of the environmental costs its products incur and act accordingly. The US CMA program is the best course for candidates who want to work exclusively in the field of environmental accounting.

The IMA (Institute for Management Accountants) located in the United States presides over the globally recognised highest credential in management accounting, the Certified Management Accountant or CMA certification. The CMA program incorporates the skills of accounting, corporate finance, performance management and cost management among various other practices.

You can become a CMA by enrolling at Imarticus Learning which is your one-stop destination for the best training. With Imarticus, you can study for the CMA exam and develop skills in environmental accounting. Enrol in the CMA Certified Management Accountant course today and get the best possible training for your CMA exam!

What is Consumer Research, and why is it important?

The consumer is at the centre of any effort made by a business. The key goal usually is to win more consumers and create an army of loyal followers. To grow and scale a business successfully, it is important to have the right understanding of consumers. Spending time, effort, and resources in understanding consumers can help a business establish a robust marketing structure.

As they say, you can only improve what you understand. Consumer research can help a business provide useful insights into the behaviour and expectations of consumers. Consumer research can prove to be an important weapon in improving the quality of products or services being offered by the business.

Here is all we need to know about consumer research and why it is important for a business:

What is Consumer Research?

Consumer research is the process of identifying the motivation, preferences, expectations, attitudes, challenges and buying behaviour of the target consumer. A business needs to understand more details about the target consumer so that it can come up with relevant products and services matching the needs. Also, the business can create various segments and buyer personas that can be used to create specific campaigns.

Consumer research is important for improving the product-market fit and running successful marketing campaigns. Surveys, focus group discussions are interviews are some of the common customer research methods that are used by businesses.

Methods of Consumer Research

Consumer research in marketing can be undertaken by a variety of methods. Some of the popular methods of consumer research are as follows:

Interviews

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Under this method, companies get in touch with the customers and ask them questions about the various aspects of the brand and the product or service. Conducting face-to-face, virtual or telephonic interviews with real customers can be a time-consuming task for a business. However, the insights that can be derived from these interactions are invaluable.

 

Surveys

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Surveys are among the most commonly used method for customer research. Surveys do not offer the same level of detailed insights as interviews but they are simple that do not need a lot of time commitment from customers. As a result, surveys are easy to undertake and can help companies that have a large consumer base.

Analytics

The use of analytics for consumer research is very different from surveys or interviews. Analytics are used to observe consumer behaviour rather than focusing on what the consumer is saying. The customer-reported behaviour can be important in identifying how they are interacting with the brand. It is also helpful in understanding the challenges that consumers are facing. Analytics is mostly used on digital properties like websites, social media, etc.

Review mining

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Review mining is not one of the most preferred but one of the most powerful methods of consumer research. It involved analyzing reviews of the competitors to understand what consumers in a category are looking for. This method of consumer research helps provide qualitative data to improve the quality level of a product or service. It is mostly useful for businesses that offer digital products.

Importance of Consumer Research

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Businesses are expected to have a clear understanding of the expectations and challenges of a consumer. In the modern trade ecosystem where consumers are bombarded with various choices with a shrinking attention span, a business needs to understand the mindset of the consumer. Here is why consumer research is important for a business:

Improvement in offerings

The sales numbers are mostly focused on what has already happened. On the other hand, consumer research helps a business understand how the brand and its products or services are perceived by the end customer. Accordingly, the business can improve its products or services to gain more consumers.

Improved brand positioning

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In the age of data-driven marketing, it can get overwhelming for a business to rely on information from structured or unstructured sources. Businesses can make decisions based on information from the data collected. On the other hand, customer research helps in getting first-hand information from the end consumer. As a result, customer research can be used to develop or strengthen brand identity and positioning in the market.

Building future strategy

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A business must spend some time understanding the consumers. It helps avoid costly mistakes that are realized much later in the absence of consumer research. A customer-centric approach can help a business come up with the right messaging and marketing strategy for business growth.

Executive Certificate Programme For Strategic Chief Marketing Officers by IIM Raipur

The Online CMO Program from IIM Raipur and Imarticus Learning can help me learn in-depth about consumer research and other related topics. The cutting-edge curriculum is among the most preferred IIM Raipur Marketing Courses and helps build the right skills for career growth. The course offers Masterclass sessions by CMOs along with expert faculty sessions from IIM Raipur. We can become the CMO of the future by opting for this Marketing course from IIM Raipur. Click here to know more.

Data Science V.s. Decision Science – A Comparison

In the field of data science and decision science, many specialists are being hired to perform specific tasks. Both fields are unique, making it difficult to justify one over the other. In this blog, we shall look at these two fields of data science and decision science, their similarities and differences.

What is Data Science?

Data science is the branch of data that analyzes the hidden patterns from a large dataset. It is the process of gathering insights from the data for business purposes. The analysis of data involves the use of various applications of mathematics. Commonly used areas are statistics, probability, calculus, and linear algebra.

It uses mathematics, specialized programming, artificial intelligence, machine learning, and advanced analytics. Principles from all these identify the hidden patterns in the large raw dataset.

What is Decision Science?

Decision science, on the other hand, is the branch of data that deals with interpreting the analyzed data. Or in simple words, it is the decision-making process for solving problems based on the analyzed data. The tools used mainly include applications of mathematics, thinking, and behavioral science.

Data interpretation is essential for identifying problems and challenges within a business. You can make reliable, accurate, and unbiased decisions by working on solutions with analyzed data. This helps the business grow and benefits employees by improving their decision-making skills.

What Is the Difference Between Data Science and Decision Science?

Look at this real-life example to get a clear picture of the two terms.

Every social media application has a database. This database consists of data from a large number of users. This data is generally unsorted or not in a pattern. Most of the data is raw. Data science helps analyze the patterns in this unsorted data using various algorithms.

On the other hand, using this analyzed data to plan strategically for improving the application comes under Decision Science.

Here is a deeper insight into what makes data science different from decision science.

Sr. No Parameter  Data Science Decision Science
1 Meaning A branch of data that deals with the analysis of data present in large amounts (large datasets). A branch of data dealing with the interpretation and decision-making based on the analyzed data.
2 Function Collecting information about the data patterns present in large amounts. Understanding the data patterns and processing them into action. 
3 Size of data It works on a large dataset. It works on a comparatively smaller dataset.
4 Framework It acts as a data framework for machines. The machines then do the further processing. It acts as a data framework that humans work on by making decisions and thinking creatively.
5 Tools The tools used are:  The tools used are:
BigML. Strategic planning.
Microsoft Excel. Group discussions.
Tableau. SWOT diagrams.
TensorFlow. Decision matrix.
Apache Spark and many more. Pareto analysis, etc. 
6 Skills required Mathematics. Critical thinking
Statistics. Problem-solving skills
Data Visualization. Mathematics
Deep Learning. Behavioral science
Big Data. Design skills
Programming and many more Analytical skills
Business-oriented approach and more.
7 Data It is a tool used for the improvement of a business. It also helps in the development of a business.  It is a tool used for making decisions. It makes the process reliable and easy. 
8 Applications Education. Business.
Healthcare. Management.
Finance. Law.
Banking. Public health.
Media. Education.
Sports. Military.
Education. Finance and more. 
E-Commerce and many more.
Although there is a wide range of applications of decision science, it is majorly confined to business and management-related activities.
9 Challenges Protecting data from cyberattacks is a challenge in the field of data science.  Critical thinking is a skill that develops with time. It isn’t easy to adapt to out-of-the-box thinking. It is a must for accurate decision-making. It is challenging for the organization and the employees.
Data is present in large amounts. Protecting this data can become difficult due to increasing cyber risks.

Conclusion

At first glance, data science and decision science may appear similar, but they are quite different. Data science focuses on analysis, while decision science deals with the decision-making process. However, both disciplines are equally essential for a successful business or organization.

MBA in decision science is an excellent career option. It is great for anyone interested in pursuing a career in business. If you are an MBA aspirant, this course could be a great way to boost your career.

In this course, you also learn about artificial intelligence In fintech. Imarticus Learning offers an MBA In Fintech Training Program. Enrolling in this program will benefit you. Get yourself enrolled today and start reaping the benefits of this course!

Courses that boost your skills in machine learning with python

The need to develop machine learning skills is becoming more and more important. Machine learning is redefining business as we know it and plays an increasingly important role in many different areas of our lives. There’s no better resource than Python to achieve tremendous success with AI.

This post will provide a basic introduction to machine learning and Python concepts. It will also discuss the best course you can take to boost your skills in machine learning with Python.

Introduction to Machine Learning for Data Science

Machine learning is a tool that has revolutionized the field of data science. It is a branch of AI that allows one to learn from data and make predictions without being explicitly programmed. 

Imagine being able to predict the likelihood of a customer purchasing a product or the probability of a patient developing a particular disease. These are a few examples of the endless possibilities that machine learning can offer.

One of the most exciting aspects of machine learning is that it is constantly evolving and improving. With the explosion of big data and technological advancements, machine learning is becoming more accessible and easier to use. It is no longer the domain of only experts. Anyone interested and willing to learn can start using machine learning to analyze their data and make better decisions.

What is Python?

Python is the world’s most popular and versatile programming language. Its simplicity, readability, and flexibility make it an excellent choice for beginners and experts. Whether you’re a data scientist, software engineer, or just someone looking to automate a task, Python has something to offer.

One of Python’s most significant advantages is its library and framework ecosystem. These libraries and frameworks make it easy to perform complex tasks such as data analysis, machine learning, web development, and much more.

In short, Python is a powerful and versatile language that you can use for a wide range of tasks. Its simplicity, readability, and flexibility make it easy to learn and use. In contrast, its vast ecosystem of libraries and frameworks, strong community, and wide range of applications make it an excellent choice for any project. Whether you’re starting or a seasoned professional, Python is a language you should consider.

Benefits of Taking a Course in Machine Learning with Python

There are many benefits to taking a course in machine learning with Python, some of which include the following:

  • Python has a large and active community, meaning plenty of resources are available for learning and troubleshooting.
  • A course in machine learning with Python will teach you how to use popular libraries such as NumPy, Pandas, and TensorFlow. These libraries are used in industry and academia and are practical data analysis and modeling tools.
  • Machine learning is a highly sought-after skill in today’s job market. A machine learning course with Python will give you a competitive edge and open up new career opportunities.
  • Machine learning has many practical applications in various industries, such as healthcare, finance, and e-commerce. By learning machine learning with Python, you can apply your knowledge to real-world problems and make a positive impact.
  • Machine learning is an evolving field, and by taking a course in machine learning with Python, you can stay up-to-date with the latest techniques and algorithms.

In summary, a course in machine learning with Python will provide you with a strong foundation in the field and give you the necessary knowledge and skills to succeed in the industry. 

Explore Certificate Program in Data Science and Machine Learning with Imarticus Learning. 

Data science and machine learning course

Want to take your machine-learning skills to the next level? The IIT Roorkee machine learning certification is here!

Start your journey with IIT Roorkee’s iHUB Divya Sampark! Our acclaimed faculty members will help you build on the fundamentals while teaching key concepts like mining tools and how to use insights that drive real-world solutions through Python programming. 

Course Benefits For Learners:

  • Learn from acclaimed IIT faculty in this machine learning certification course, and get a unique insight into India’s vibrant industry. 
  • Learn the fundamentals of Artificial Intelligence, Data Science, and Machine Learning to develop skills that impact today and the future.
  • Give yourself a career advantage with our data science online training – where you will gain an understanding of cutting-edge technology that will open up extraordinary opportunities.

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

Building A New Supply Chain With Macro-Ops Planning? Read on

After the advent of digitisation and e-commerce, the supply chain has become the backbone of most businesses. We need to have a proper supply chain mechanism in place if we want to sell through online mediums. Building a new supply chain can be a complex and challenging process. But with the right approach and tools, it is possible to create a highly efficient and effective system that meets the needs of our organization. If we focus on how to become a supply chain analyst, then it can do wonders to create an effective supply chain.

One approach that can be particularly useful in this context is macro-ops planning, which involves taking a holistic view of the supply chain and considering all of the factors that can impact its performance. But how to build an effective supply chain using macro-ops planning? How can we learn about macro-ops planning in the first place? Let’s find out!

Steps to Build a New Supply Chain Using Macro-Ops Planning

Developing a macro-ops plan is essential. We can enrol for a supply chain management course with analytics to learn macro-ops planning. Let’s save it for later. Here are some key steps to follow when building a new supply chain with macro-ops planning:

Defining The Goals and Objectives

Before we start building a new supply chain, it is important to have a clear understanding of what we hope to achieve. This might include goals such as reducing costs, improving delivery times, or increasing customer satisfaction. Defining goals sets a clear direction of where we will be heading.

Assessing The Current Supply Chain

To build a new supply chain that meets our needs, it is important to first understand the strengths and weaknesses of our current system. This might involve analyzing data on key metrics such as delivery times, costs, and customer satisfaction, as well as conducting interviews with key stakeholders to gather insights and ideas for improvement. Once we get an idea of our current systems, we know the lacunas that lie in them and craft a definite plan for improvement.

However, if it is the first time that we are developing the supply chain, then we need to have a thorough understanding of our business model. Knowing about how the supply chain functions in our industry can be of great help in creating an effective supply chain for our organisation.

Identify Key Drivers of Performance

Once we have a good understanding of our current supply chain, the next step is to identify the key drivers of performance that need to be considered in our new system. This might include factors such as demand patterns, supplier capabilities, transportation options, and inventory management practices. Changes in these drivers can be most effective in developing the new supply chain.

Develop a Macro-ops Plan

With an understanding of our goals, current systems and the key drivers of performance, we can then begin to develop a macro-ops plan for our new supply chain. This might involve creating a detailed roadmap that outlines the key steps and milestones that need to be achieved, as well as identifying the resources and capabilities that will be required to implement the plan. The macro-ops plan should be carefully curated as it will be the foundation of all our future actions and the effectiveness of our new system. We can learn to develop the macro-ops plan through the IIT Roorkee supply chain management course (discussed later).

Implement and Optimize the New Supply Chain

With our macro-ops plan in place, we can then begin the process of implementing and optimizing our new supply chain. This might involve making changes to our processes, systems, and infrastructure, as well as working closely with suppliers and other stakeholders to ensure that the new system is running smoothly. What we need to remember is that the changes won’t happen overnight. We need to continuously monitor the execution of the macro-ops plan and how the changes are delivering the results.

Developing an Effective Macro-Ops Plan

Adopting a macro-ops planning approach can help us build a new supply chain that is highly efficient and effective, and that meets the needs of our organization. However, it is important to develop an effective macro-ops plan. Further, we also need to have in-depth knowledge of supply chain systems and how they function. But how can we do so?

best supply chain management and analytics training

We can become supply chain analysts if we focus on learning from a supply chain management course with analytics. IIT Roorkee has designed a comprehensive course on supply chain management – Professional Certification in Supply Chain Management & Analytics that provides us with hands-on learning and deep insights into real-world SCM projects. You can access this course through Imarticus Learning. Mentoring with industry experts provides cutting-edge experience to candidates willing to enter the supply chain and operations industry.

The curriculum of the IIT Roorkee supply chain management course is carefully designed to meet the current age supply chain management needs that use the latest technologies and features. The campus immersion allows us to interact with the top industry leaders and some of the smartest minds and peers in this industry. But it’s incomplete without practical insights, right? The real-life industry projects allow us to learn from the practical projects implemented by some of the biggest MNCs across the world.

Are you ready to develop and implement your new supply chain with macro-ops planning? Get enrolled now with Imarticus Learning.