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Category: Management

I hired a supply chain analyst for my company and it was the best decision

Posted on by Imarticus Learning

I hired a supply chain analyst for my company and it was the best decision

The work of a Supply Chain Analyst involves analyzing the data and predicting how the delivery of products and services can be improved. It enables a smooth flow of products and services to the customers, thus playing an essential role in the company. The Supply Chain Analyst carries out all activities involved in the product’s life cycle, including the procurement of raw materials, product distribution, and ensuring the correct consumer receives the product at the right time. The use of cloud computing and other blockchain technology is the primary responsibility of supply chain analysts in this situation.

Reduce costs and improve profits

The Supply Chain Analysts have access to the company’s comprehensive data, which is used in integrated planning. This enables them to increase operational efficiency and achieve insights. Here, a career in Supply Chain Management helps the professional in reducing unnecessary costs, thereby improving the whole process. The professional also conducts a meeting with Company executives to suggest regard to the SCM process. 

 Communication and Negotiation skills

It is found that after undergoing a career in Supply Chain Management, professionals can communicate effectively. They frequently oversee the tasks and contact individuals from other departments. The supply chain analyst is also familiar with negotiation techniques and manages them to guarantee flawless shipping. It aids the company in cutting back on additional transportation expenses.

 Efficiency and effectiveness in planning

Here, the supply chain analyst understands the customer’s demand thoroughly and then predicts the future market for the products. It helps the organization identify the particular product segment they need to focus on. Additionally, the supply chain analyst minimizes logistical errors that frequently happen. Although complicated, the procedure entails analyzing a lot of data and planning the production on time. The supply chain analyst also ensures that the product is shipped with the shortest possible lead time. It includes examining the weather before beginning a transport and keeping up the warehouse system. Additionally, they frequently employ database management systems and other analytical tools to find information and do the best possible analyses. 

Equipped with software/ technology 

Applications like Excel, Access, and PowerPoint can all be used by supply chain analysts. They are also competent in using SAP, Supply Chain Guru, and other supply chain-related applications. They satisfy the needs of supply chain management and supply chain analysts. 

Data Analyzation

The Supply Chain Analyst reduces the workload on the organization by converting complex data into simple solutions. The Supply Chain Analyst breaks down the data, in this case, using a unique method. Since massive data is present, supply chain analyst uses multiple software to break down the data and allocate it to the logistics team.

 Problem Solving Skills 

It is essential to identify the issues surrounding supply chain management. Hence supply chain analyst ensures the problems are identified and solved. Plans are made for the future to address the problem and prevent it from becoming worse. The supply Chain Analyst also ensures that the issues are forecasted and solutions are ready in departments. Just-in-time solutions are also innovated to manage emergencies. 

 Latest knowledge in Economics and Market Dynamics

 The field of Supply Chain Management requires updating with the latest information. The supply chain analyst always examines the quick changes in consumer demand. They segregate the market and target it with the best tools available. Instead of focusing on records, the supply chain analyst ensures that future demand is forecasted and trends are monitored. They provide that the market dynamics are studied to identify the customers’ specific needs. It is done to ensure that proper communication is maintained and feedback is also addressed about logistics. The essential advantage of having a supply chain analyst in a firm is their ability to collaborate seamlessly across all departments and effectively manage logistics. 

 The IIT Supply Chain Course enables the professional to build the skills required in a Supply Chain Analyst job. To become a Supply Chain Analyst, you must learn specific skills and enroll in the course. For more details on the IIT Supply Chain Course, you are welcome to browse our training facilities in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, and Ahmedabad. You can also get in touch with us through the live chat service, which is open around the clock. Our website also offers a download for our brochure. Click on the link below, and it will take you to our blog.

From Around The Web: Learn Artificial Intelligence from These Case Studies

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From Around The Web: Learn Artificial Intelligence from These Case Studies

Programming in Artificial Intelligence (AI) is not restricted to any one method or language. A wide range of programming languages, including Python, Java, and R, are used to code AI algorithms. Usually, the Python programming language is preferred due to its easy and understandable syntax.

When you program for AI, you understand that it is slightly different from the traditional programming approach. AI mainly focuses on three skills: learning, reasoning, and self-correction.

Learning involves gathering data and creating algorithms based on the data. These algorithms then instruct the devices about the processing of a task.

data science career

The reasoning is concerned with selecting the best approach to solve a problem. It involves selecting the best algorithm that will suit the niche of the problem.

Self-correction is a design that will ensure that the selected algorithms will provide the best and most accurate results at all times.

As far as the term artificial intelligence is concerned, the most important aspect of learning AI is understanding its applications in real-world scenarios. The best way to do so will be through case studies and recognized courses. Thinking where can I learn Artificial Intelligence? Worry no more, at Imarticus Learning, we offer an Artificial Intelligence course, which also equips you with the concepts of Machine Learning. The course is taught by the leading industry experts to give you the best training and project guidance!

List of Some of the Most Interesting AI Case Studies 

Understanding AI through case studies will help you get a better grasp of its basics, while also being able to understand its business world applications. Here are some case studies that you must check out:

Vanguard Marketing

Although Vanguard is a leading investment company, its domain makes it difficult to market the products, as all the competitors use the same old traditional content and strategies to promote their products. This was when Vanguard turned to AI and started using Persado, an AI platform concerned with language queries. As soon as Vanguard turned to AI, the company saw a 15% hike in its conversion rates! You should check out this interesting case study!

Sony Neural Network Libraries

The multinational conglomerate Sony recently developed an open-source platform called Neural Network Libraries to enable programmers and data science engineers to develop deep learning programs. Neural network-based deep learning algorithms and processes have taken over technology in the past few days. There is so much improvement in the recognition domain that it has even outcasted humans in some applications. This intriguing case study will help you understand the process of deep learning in detail.

MSD’s Chatbot for Healthcare Professionals

Healthcare professionals must stay updated with emerging diseases and treatments. They might need to access content quickly, and this chatbot makes sure it is done without any hassle. Facebook has collaborated with the pharmaceutical company MSD to program this chatbot, and hence its framework resembles that of the Facebook Messenger application. It is one of the most compelling case studies. You will be able to comprehend the complexity of responsive AI and how it works.

Philips’ AI in Diagnosis

The emergence of AI in the medical field is likely to be a boon to society. Processes as simple as prescribing medicines to the complex processes of diagnosing a disease can be done through AI. Due to these advancements, detecting diseases like cancer and predicting their treatments will become an easy job. The innovation-driven health technology company Philips is working on building deep learning programs, along with PathAI, to bring about these changes in the healthcare industry.

Siemens AI for Machine Systems

Detecting discrepancies in machines through datasets and algorithms is the idea behind the automation company Siemens’ Machine System AI. They are also running a project to predict the maintenance and schedule repairs for the train systems. Controlling and monitoring the devices with AI will be critical in predicting future mishaps in the machinery and bringing about solutions for them in advance. Also, an interesting case study to look out for while studying AI.

Takeaway

Learning through application-based artificial intelligence will help you hone your skills in the field. Understanding various case studies for the same is very important and beneficial. Theoretical knowledge will only help you ace your tests, but when it comes to implementing the knowledge in real-world scenarios, you must have proper industry-relevant knowledge.

Want to understand these case studies thoroughly? Well, for that, understanding AI and its branches are vital. Wondering how that can be done? Worry not, because we are here to help you learn Artificial Intelligence with experts! Contact us through chat support or visit our nearest training centers in Delhi, Gurgaon, Thane, Pune, Mumbai, Bengaluru, or Chennai.

A quick and easy guide to Tableau

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A quick and easy guide to Tableau

Tableau is a famous data visualization software that helps people see and understand data. If you’re looking for an easy way to get started with Tableau, this guide will walk you through how it works to what types of visualizations are available in this tool.

What is Tableau?

Corporate leadership

It is a data visualization tool that makes it easy to view and analyze your data. It helps them visualize their findings so they can see patterns quickly and easily—and then act on those trends before they become problems for the company.

Why should you learn Tableau?

A tableau is a powerful tool that both individuals and organizations can use. It’s easy to learn and use, but its true power lies in the data visualization it allows you to create. 

A tableau is a powerful tool that’s easy to learn, use and collaborate with. You can use it in many ways:

  • To make visualizations (charts, graphs)
  • To create dashboards and reports
  • To work with others on data analysis projects

Types of visualizations in Tableau

There are many types of visualizations that you can create in Tableau. Here’s a quick overview:

  • Bar charts. Bar charts show the distribution of values in your dataset (e.g., sales by month). You can use bar charts to compare deals over time or across groups, such as how many people purchased products this year vs. last year or what percent each type of product accounted for at different times during the day (or week).
  • Line charts. Line graphs show trend lines on a chart based on some measures and other data points like age and gender. However, we still want some idea about whether any change is happening over time because otherwise, it would make no sense why one person might be doing better than another even though both have been using the app since the launch date!

Tableau course helps people analyze their data by allowing them to visualize their information visually in a way that makes sense. For example, they might want to see how many products were purchased by customers at different times or the average price for each product sold during the month of last year. Tableau allows you to accomplish these things quickly to make informed decisions based on what your data tells you about your business or project.

Discover a career in data science with Imarticus Learning

Become a data analyst with this data science course that guarantees job assurance. Learn data science practically and create complex models that generate critical business forecasts and insights.

Course Benefits for Students:

  • Students will be familiar with data analytics, machine learning basics, and the most extensively used data science tools and methodologies.
  • To get a data analytics certification course, students must complete 25 real-world projects and case studies led by business partners.
  • The ability to display data using a data analytics tool is one of the most sought-after skills in the industry today. As a result, new graduates and those just beginning their jobs may want to consider enrolling.

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

I tried to learn machine learning and failed. Then I mastered it

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I tried to learn machine learning and failed. Then I mastered it

Machine learning often fails if the course goals are not met while preparing the project. While preparing for machine learning, the ultimate motive is to create a solution for the problem and then ensure that the data connects to the solution. Machine learning frequently fails if the course objectives are not satisfied when working on the project. Solving the problem and ensuring that the data ties to the answer are the ultimate goal while preparing for machine learning. It becomes challenging to succeed in this case if a proper aim is not established and data analysis is performed with insufficient detail. You must realize that machine learning is an iterative process and that having the right metrics for success is crucial.

 Understand the purpose

The objective of machine learning is the most critical factor that must be considered before starting. The fundamental goal of developing a machine learning procedure is understanding the client’s issue. It is challenging to succeed in project management if the true aim is unknown. The critical analysis of the data helps in finding out a feasible solution. Here, it would help if you did not forget to identify the end outcome and compare the data to achieve the goal.

Data

The next major thing to consider is the data. Overload of data and lack of data create confusion. The data needs to be collected to solve the problem. To address the issue, the data must be managed appropriately.  You can create quality requirements to ensure that accurate and appropriate data is collected.

The project fails in the absence of rigorous analysis and quality criteria. Low predictions can also be a result of poorly formatted data. You can work with the clients to identify the precise data they want in the project to resolve the problem. This will enable you to understand the whole process and incorporate data quality standards. Thus, Machine learning would remove the issues in project management.

Generalization

Overfitting is a problem that arises when training data fits too well and ignores unobserved data. It will fail if you train a machine learning model using a tight dataset and it encounters a data point. Most machine learning students frequently make the peculiar error of selecting data that doesn’t correspond to the actual production data.

 On the other side, if the model cannot identify a meaningful pattern in data, it causes the project’s failure. The appropriate data must be examined and incorporated into the model in such circumstances. You must have a comprehensive understanding of the data and be able to pinpoint the client’s precise needs. If the dataset is simple, you can also use the complex non-parametric method of collecting the data.

To increase your project’s success rate, you can also use the validation method. You can use the cross-validation method at the end of the training cycle to test the dataset and complete the model.

 Updating the system

Sometimes, even if it isn’t your mistake, the software you use can cause hindrances in the machine learning process. With up gradation in the software, machine learning projects are developing. The most challenging situation arises when the business situation changes, a drastic shift in customer demand, and the updated models in the market. Updating the existing Machine Learning model is challenging and requires a lot of time. Hence, you need to update the model and try to use new features every time the project is released.

 Forecasting the outcome

People frequently fail to achieve optimal results after applying qualitative data. It necessitates in-depth project expertise. Many people don’t know how to use the data once the data has been finished and the analysis has been done. The project will eventually fail if you lack the proper planning to utilize the data.

After gathering the data, you must determine the client’s needs and present the strategy to them. This would help the student in developing methods to deliver the results accurately. You can also explore the chain management style if the client requires any other changes in the project.

You can contact us by clicking the web link for additional details about the data science online training. We have training facilities in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, and Ahmedabad that you may browse. Additionally, you can contact us by using the live chat support, which is available 24/7. You can also download our brochure from our website.

Can an Artificial Intelligence and Machine Learning Certification Push Your Career Forward?

Posted on by Imarticus Learning

Can an Artificial Intelligence and Machine Learning Certification Push Your Career Forward?

Introduction

Countless professionals, office workers, job seekers, and aspirants are aware of the employment opportunities in artificial intelligence and machine learning and are prepared to provide their services to employers. AI and ML are considered valuable for entrepreneurs planning to increase their business and differentiate the services they provide.

The number of professionals with AI and ML certifications is growing in response to the increasing demand for these technologies in businesses and organizations. If you want to keep yourself updated and are interested in working in Artificial Intelligence and Machine Learning, you should consider a certification course in artificial intelligence and machine learning. 

Alternatively, if you have a Bachelor’s or Master’s in Computer Science, Engineering, Maths, Statistics, or Science with a minimum of 50% marks and do not know what to do next, you should consider this certification. An artificial intelligence and machine learning certification can give you the edge to get the promotion or job you’ve been coveting.

What is the value of an AI and MI certification?

Artificial Intelligence and Machine Learning are great career options–many industries have now consented to using AI and ML. These technologies have applications in several sectors–IT, aerospace, healthcare, robotics, banking, and finance. The Economic Times has predicted that there will be about 3 million jobs in this sector. 

If a person is skilled and equipped with an in-depth knowledge of AI and Ml, they will find it easy to grab a good job with a handsome salary in a multinational firm or any industry mentioned above. Job seekers can also find jobs on platforms such as NAUKRI.COM, which have approximately 15000 jobs for people interested in the field.

In India, the average wage of a professional Artificial Intelligence worker is about Rs. 15,70,800. Apart from the base salary, skilled individuals can use AI and ML certification to enhance their package and position in a company. 

Features of Artificial Intelligence and Machine Learning courses

  1. The courses will teach you extensively about AI and ML technologies and their application. We’ll cover topics like Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Neural Networks, and TensorFlow.
  2. The course provides learners with practical, hands-on learning in AI and ML labs and 12+ projects.
  3. Students get to work alongside world-renowned companies such as Uber, Netflix, Google, and Amazon.

Benefits of Artificial Intelligence and Machine Learning certification

  • Growth in demand

The demand for AI and related technologies will exponentially increase in the next few years. Businesses will switch to AI to generate better solutions and implement customized internal solutions. 

  • Almost every sector uses AI

If you master AI, you will have many career opportunities available in multiple industries. Many people want to be good at specific branches of AI, such as Deep Learning and Natural Language Processing. Being adept at these offers a chance at a great career.

  • High salary 

The median salary for an AI engineer in the USA is USD 130,000. As the sector keeps growing, domestic industries too will start moving towards fairer pay scales.

  • Better chances of getting a job interview 

Obtaining an AI certification can ensure that you get an interview callback. The AI certification will stand apart on your resume and help you get noticed in the pool of applicants.

Problems you can face while getting an AI and ML certification

Mastering AI and ML technologies can be difficult. Collecting data is a big problem faced by students in their careers. For problem-solving and analytics, one will have to request data from clients. The quality of the data obtained will determine how accurate the output will be. 

A career in AI and ML

To pursue a career in AI and ML, one should be mindful of the following facts:

  • You must understand different technologies in Artificial Intelligence and Machine Learning.
  • Focus on the basics of AI and ML.
  • Knowing about the methods that organisations use on their platforms can be an added advantage for job seekers.

Conclusion

A certification course in Artificial Intelligence and Machine Learning from Imarticus Learning Private limited will help you achieve your learning objectives. You can contact Imarticus Learning Pvt. Ltd through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Companies that hire employees with AI-certified skills will be setting themselves up for success as those skill sets continue to grow in demand. Certification isn’t just an opportunity; it’s an investment in your future and a safeguard against economic uncertainty.

How Learning Data Science from an IIT is Different

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How Learning Data Science from an IIT is Different

An IIT is a premier institute of technology in India that offers a world-class education in engineering and other technical disciplines. IITs are known for their rigorous academic programs, which prepare students for successful careers in industry and academia.

Harvard Business Review ranked the data scientist position as the sexiest job of the 21st century. With companies like Amazon, Google, Facebook, and Uber investing heavily in data science (and their employees), it is currently in very high demand.

What are the exclusive features of learning from an IIT?

The statement is quite justifiable if we look at the points below.

SPECIALLY DESIGNED FOR PROFESSIONALS

management development programs

The course has been curated by IIT faculty and Data Science and Machine Learning Professionals. It will help students build a solid data science foundation and master machine learning with Python for data-driven decision-making.

Through this course, we strive to generate experts who can furnish meaningful insights from data and help companies make the correct decisions for development.

LIVE TRAINING

The course will be offered live via online sessions with the best faculty in India. The trainers belong to IIT Roorkee, IIT Ropar, IIT Guwahati, and other supreme academies. The industry experts have ample knowledge of data science and machine learning projects.

CAMPUS IMMERSION

You can visit the campus of iHUB DivyaSampark @IIT Roorkee for two days and get a chance to unite with the IIT faculty and your coursemates. You can also visit the iHUB DivyaSampark startup incubation center and pitch your startup idea in Industry 4.0, Web3.0, Healthcare, and Sustainable Development.

STARTUP FUNDING SUPPORT

Through the Digital India scheme, iHUB DivyaSampark@ IIT Roorkee will deliver a forum for energetic startup-minded students to pitch their startup idea and get allowance support. It is an exciting opportunity for enthusiastic students who want to construct something they are proud of.

PROGRAM DELIVERED BY DR BALASUBRAMANIAN

This course will be handled by Dr. Balasubramanian Raman, designated as the chief data science and ML faculty.

CERTIFICATION BY IIT ROORKEE AND IMARTICUS

The course certificate will be allocated jointly by iHUB DivyaSampark @ IIT Roorkee, DST, and Imarticus Learning. This certificate shall be nationally-recognized, enhancing the students’ resumes and helping them stand out.

What does a perfect curriculum look like while studying at an IIT?

The curriculum of an IIT is highly advanced and updated according to market standards. What shall you learn? Let us see.

Learn Python: Data Science by Example

One of the best paths to learning data science is by example, precisely what you’ll find in this course. The certificate program in Data Science and Machine Learning from IIT is designed to give you a strong foundation in the basics of Python programming. It will teach you:

how to read data sets

how to organize your code with functions and loops

how to visualize your findings with plots and graphs

how to extract critical insights using advanced statistical techniques such as linear regression

how machine learning algorithms work on raw data sets and more.

Understand Basic Statistics for Science

The program is crafted to give you a strong foundation in statistics helping you understand and apply machine learning algorithms. You will learn to handle big data sets and visualize them effectively.

Predict values employing linear regression

Work with mean, frequency distribution, conditional probability, serial correlation, covariance, multicollinearity, etc

Analyze data utilizing Sampling Distribution, F-distribution, T-distribution, Chi-Square distribution, etc.

Machine Learning with Python

Through this program, you’ll gain the necessary skills and knowledge you need to succeed in this exciting field.

Introduction to Machine Learning

Linear Regression

Optimization

Logistic Regression

Decision Trees

Random Forest

PCA

K-Means Clustering

Time Series

Text Analytics

Neural Networks

Conclusion

The Indian Institutes of Technology (IITs) are world-renowned for their rigorous academic programs, unlike what students would find at a traditional college or university. And data science is no exception. Learning from an IIT is a great way to get started if you want to become a data scientist. We have already mentioned what you can expect from our data science program. So let’s not hurry to set your career on fire to be one of the best Data Science and Machine Learning Professionals.

We recommend you check out our Certificate Program in Data Science and Machine Learning if you want to learn data science. The program is designed to teach students the fundamentals and various aspects of data science and machine learning while equipping them with the proper knowledge to implement and apply these concepts to real-world problems.

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

Deep Learning AI For Decision Making In 2022

Posted on by Imarticus Learning

Deep Learning AI For Decision Making In 2022

Artificial Intelligence or AI has always been the future for humankind. John McCarthy coined the term AI in 1956 with the emergence of computer-based intelligence. In AI development, a series of advancements have been made to keep the simulation efficient and ongoing. But first, let’s brush up on Artificial Intelligence.

What is Artificial Intelligence? The simulation of intelligence surpasses human traits but is processed by a machine instead. These machines we are talking about are nothing but gears we use daily. Artificial intelligence utilizes computer systems in making a simulation laden with intelligence models.

AI focuses on speech recognition, language processing, decision-making, and problem-solving, among other features. Apart from being a multi-purpose data-driven model, it also implements other tasks such as planning, management, and learning.

best data analytics course

There are multiple types of AI: Artificial Narrow Intelligence, Reactive Machine AI, Limited Memory AI, Artificial General Intelligence, Artificial Super Intelligence, Self-Aware AI, and Theory Of Mind AI.

Deep learning comes under machine learning, which AIs use to imitate human behavior and gain general insight into humans. If you want to opt for a deep learning course or an artificial intelligence course to benefit your career or implement your knowledge, keep reading this article.

Applications of AI in Terms of Decision Making

Here is a list of all the tasks you can expect from an Artificial intelligence course in decision making.

  • Business operations: AI ensures efficiency in administrative tasks and takes the upper hand when interacting with figured data, thereby making faster and more accurate decisions.
  • Complex problem-solving: A step-by-step process can assist AI in figuring out complex data and multilayer problems. You can also utilize AI tools for predicting and optimizing pricing. 
  • Customer-related management: AI is valuable in the following arrangements –personalized customer interaction, customer behavior evaluation, prediction of consumer trends, and handling customer service.
  • Performance assessment: AI minimizes the number of human errors indefinitely and also helps in providing a transparent cover to employee data.
  • Strategic management: One thing that sits well with AI is the strategic management of changes. It can plan, manage, reduce shortcomings, and deliver a highly manufactured model in production.

Deep Learning Techniques

To create powerful deep learning models, you can choose a deep learning course that teaches these methods. An artificial intelligence and machine learning course teaches the following techniques. 

  • Transfer learning: You can use the transfer learning technique to train a model that has been previously perfected. This method takes less data than its competitors, reducing workload and computation time.
  • Training from scratch: Usually, for newer networks, this training involves collecting an extensive data set for configuring a network architecture. You can use this method for output categories. 
  •  Learning rate decay: The rate at which data becomes unstable has been studied back and forth. The learning rate decay method defines the process of the learning rate for increased performance and reduced training period.
  • Dropout: This technique solves problems like overfitting networks by dropping units and their connections with neural networks. The dropout technique has been increasingly helpful in document classification, speech recognition, and computational biology tasks.

Limitations And Challenges

Deep learning and decision-making go hand-in-hand, but simultaneously, they can hold several limitations that may limit their power. With an advanced simulated environment comes equally baffling challenges. These pointers discuss the constraints faced by AI in terms of deep learning.

  • Massive Pile-up of Data: Deep learning in itself requires the storage of large amounts of data. In addition, more accurate models require better parameters which can pose a storage issue.
  • Inflexibility: One downside of deep learning models is that they face hurdles in terms of multitasking. Machine learning only helps AIs deliver accurate solutions to one problem at a time.
  • Reasoning issues: Reasoning tasks such as programming, implementing data manipulation and long-term planning are beyond the current reach of AIs.

Conclusion

Artificial Intelligence is a rapidly increasing system that enables human behavior and accurately represents human complexity. While there are many scopes in terms of artificial intelligence, an Artificial Intelligence and Machine Learning course can help you pave the way for market trends in 2022. 

Think NLP is difficult? Here’s a step-by-step guide to mastering it

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Think NLP is difficult? Here’s a step-by-step guide to mastering it

If you want to learn NLP, you’re probably wondering why it’s so tricky. The reason is that most people don’t understand the basics of this field or have the patience to learn them correctly. This guide will explain NLP and how to use it to get more out of your data analysis process.

customized corporate training

Natural Language Processing (NLP) is the study of language. It is a branch of AI (artificial intelligence) that studies how computers interact with human language, specifically how to design computers to process and evaluate huge volumes of natural language data.

What are the applications of NLP?

It is a powerful tool that you can use in many different applications. Here are just some of the ways you might use NLP:

  • Customer service: When talking with customers, it’s essential to know how they feel about your product or service. By using NLP techniques like positive language and mirroring, you can find out what their needs are so that you can help them more effectively. 
  • Marketing: Using emotional appeals in marketing campaigns will increase sales and retention rates by 79%. In addition, dynamic targeting has increased response rates by 60%. That means if you want people who like cats or dogs (or both!), knowing where those people live helps ensure they see ads for pet products when they search online!

Thinking that NLP is too difficult for you to learn, think again. It is a tool that can help you get started with your transformation process by understanding how your brain works and what influences the way you think and behave. It isn’t a magic wand or replacement for human interaction; it’s just another way of looking at things to understand ourselves and others around us better!

NLP is a powerful tool that you can use to transform your life. It’s also one of the fastest-growing subfields in AI, so you need to know how it works before jumping into the deep end. 

Discover a career in data analytics with Imarticus Learning

 This data science career will teach students data science in a practical setting. Students will create complex models that will generate critical business forecasts and insights. 

We at Imarticus believe that learning is an ongoing process. Our mission is to prepare our global learning community for a futuristic, tech-driven world by structuring information with modern technology and making learning accessible.

Course Benefits for Students:

  • Students will be familiar with data analytics, machine learning basics, and the most extensively used data science tools and methodologies. 
  • To get a data analyst certification course, students must complete 25 real-world projects and case studies led by business partners. 
  • The ability to display data using a data analytics tool is one of the most sought-after skills in the industry today. As a result, new graduates and those just beginning their jobs may want to consider enrolling.

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

Landing a data analytics job-interviews as a fresher: What I’ve learned

Posted on by Imarticus Learning

Landing a data analytics job-interviews as a fresher: What I’ve learned

Introduction

Trends in today’s industries show that data-driven organisations consistently outperform their competitors. So for businesses, hiring data experts is a growing priority. Data analysts are in high demand, which puts newcomers in a great position. Jobs are emerging and if you have mastered the right skills and can demonstrate your expertise, you can land a data analytics role. Yes, it is possible to get hired as a data analyst even without any previous experience. You need to learn the necessary skills and start marketing yourself as a data analyst. Learn how.

Data Industry

Today, the digital world is driven by big data. It is estimated that by 2025, the volume of global data will touch 180 zettabytes. In January 2020, India alone contributed 9.4% of the world’s total global analytics job openings. Every industry and sector in the world is dealing with vast amounts of data and using data analytics to grow their business. Data-driven businesses consistently outperform their competitors, so it’s a priority to hire logical data experts across industries.

The global big data analytics market size was $240.56 billion in 2021. It grew to $271.83 billion in 2022 and is projected to grow to $655.53 billion by 2029 at a CAGR of 13.4%. This rapid growth in the data industry is creating big demand in the data analytics job market. The number of skilled data analysts is increasing to cope with the demands of data manipulation.

Data Analytics

Data analytics is the process of deriving meaningful conclusions from a vast pool of data that can help companies strategise their business better. The role of a data analyst is to process various types of data about a product, customer, or company, making it relevant for business decisions. Key information processed by data analysts through analytical principles and algorithms helps organizations customize their offerings to stakeholders and customers, and design marketing strategies and business processes.

Data Analyst Role

A fresher can take up a data analyst job provided one learns business processing techniques and the required skills. For starting a career in data analytics, the following steps are recommended:

  • Get certification – Enroll in a prestigious, project-based course thoughtfully designed with the needs of today’s industry in mind.

  • Build your data portfolio – Highlight your accomplishments in the field. Also, showcase your volunteer data skills with what you’ve contributed to data forums and the community.

  • Bank on your transferable skills – Your core skills, such as the analytical skills you acquired during your degree, presentation of data insights, and use of basic analytics tools also add value to your data profile.

  • Identify and enhance the basic skills – Knowing Microsoft Excel is necessary. You can emphasise the essential tasks of a data analyst, such as classifying data and calculating numbers. Brush up on your math and statistics principles.

Learning Data Analytics

If the question of how to become a data analyst is bothering you, then taking a step toward learning data analytics will open up avenues to becoming a data analyst or data scientist. Of course, basic programming skills in SQL, database, BI tool, Python, R, and conceptual knowledge of data mining, familiarity, and interest in topics, including data warehouse, will help in learning techniques in data analysis.

Data Analytics Course

Since data analytics is essential in every field, choosing a good institution to learn data analytics that imparts industry-ready skills to the students is crucial. Training providers offer a high-quality learning experience, supported by skilled and experienced teachers, and have resources to engage in real-life projects. A program in data analytics certification course with job-interview guarantee option will allow freshers to learn and land  good job-interview opportunities.

One such program, Data Analytics and Machine Learning, offered by Imarticus Learning is an ideal opportunity for fresh graduates and those looking to switch careers to Data Science and Machine Learning.

The certification will help professionals improve their knowledge in the field of analytics and specific tools like R programming, SAS, Big Data, Hadoop, and more. With a proven track record of over 1,000 assured placements, Imarticus Landing’s program guarantees an excellent job in a salary range between Rs 7 to Rs 22.5 lakh per annum.

Conclusion

If you are looking for a reliable data analytics certification course with a job-interview guarantee, you are just one step away from your destiny. The Data Analytics course at Imarticus is the best option for you to enhance your career as a reputed data science professional of the future.

For more information about the courses, please contact us via live chat and/or message or visit one of our training centers in Pune, Mumbai, Thane, Gurgaon, Delhi, Bangalore, Chennai, or Ahmedabad.

What a Decade of Success Looks Like in the Edtech Sector

Posted on by Imarticus Learning

What a Decade of Success Looks Like in the Edtech Sector

Since its inception in 2012, Imarticus Learning has become a leading online professional educational facility focused on creating the workforce of the future with new-age programs in Data Science & Business intelligence, Advanced Analytics, AI, Investment Banking, Financial Technology, Finance, Advertising, and much more. Nikhil Barshikar, the founder, chairman, and managing director created Imarticus Learning in 2012 and has effectively directed candidates in the proper professional route.

Imarticus Learning’s all-encompassing courses and programs have helped many successful people. Imarticus regards learning as an ongoing process. Their goal over the years has been to organize information and make learning accessible using contemporary technology to prepare our worldwide community of learners for a forthcoming, tech-driven society.

EdTech company

Imarticus Learning has a track record of achievement in offering high-quality learning from universities worldwide and developing challenging programs that are immersive, relevant, and progressive.

It has attempted to mix in-class study with practical experiences as an ed-tech startup by mainly focusing on hands-on and experiential knowledge. Imarticus Learning has indeed been devoted to offering creative and outcome-focused programs for more than a decade. 

In recent years, a growing number of start-ups have recognised the promise of ed-tech. Because of the Digital India program, the cultural relevance of learning through Indian society, and lower mobile internet pricing, the upward trend will continue.

Venture capital and private equity groups are also investing heavily in this industry, not just in K-12 (kindergarten through 12th grade), as well as online classes. Supplemental courses, exam preparation, online certification, and gamification all have enormous untapped potential.

An examination of China’s present startup environment will reveal a few real winners, among them is the ed-tech industry. With the statewide lockdown in India, there is an unexpected increase in demand for ed-tech businesses, even as others struggle to find their way out. According to analysts, the e-commerce market and ed-tech are some industries that may survive this rough period.

10 Years of Imarticus in Ed-tech

Over the last decade, Imarticus Learning has partnered with industry titans such as KPMG, Capgemini, Deutsche Bank, Goldman Sachs, HSBC, and others. It can today claim 85% of student recruitment in the world’s largest corporations. We have partnered with a total of 480 firms to date, and the list is growing with each passing year, thanks to cutting-edge tech and a strong staff of mentors.

After ten years of meeting the requirements of thousands of students, Imarticus Learning is looking to fund $40-50 million (303-379 crores).

As a consequence of virtual classrooms, electronic learning, digital teaching resources in classrooms, and the increasing use of cutting-edge technologies such as virtual worlds, machine intelligence, and augmented reality, learning delivery and techniques are developing. In various educational institutes, not only students and professors, but even businesses, are becoming increasingly aware of the advantages of educational technology.

Our online training programs are created and delivered in collaboration with international organizations and industry experts.

Students who complete the program obtain an industry-endorsed certificate that will look excellent in any portfolio and amaze future and current employers.

Advantages of Becoming a Member of Imarticus Learning Family

You may do so as an Imarticus after you have finished your course by going into our LMS and accessing curriculum information and learning resources to refresh your recollection.

Furthermore, the private equity platform has provided a multitude of industry opportunities and references of both open and confidential networks, which has aided previous Imarticus students.

Conclusion

To summarise, Indian ed-tech has a very promising future ahead of it, which we at Imarticus are very enthusiastic about. If you wish to discuss and dispute the above topics, or if you are developing anything in this area and want to talk about it, please visit Imarticus’ official page.

Smartphone usage and low data rates have changed the game for ed-techs. In India now, there are around 350 million smartphone users, a figure that is predicted to quadruple by 2022. With these figures, it is clear that mobiles and digital gadgets will be the universities of the future.

The delivery and methods of learning are evolving as a result of online classes, virtual classrooms, digital learning materials in classrooms, and the rising usage of cutting-edge technology such as virtual worlds, artificial intelligence, and augmented reality. Not only students and teachers, but also businesspeople, are becoming more aware of the possibilities of educational technology in several educational institutes.

Online courses provide the general public with a flexible and cost-effective approach to learning new skills. Education advances are allowing people to quickly access education, move beyond traditional academic education, and obtain a deeper grasp of a subject via videos, online study material, and educational applications with a range of learning aids.

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