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Category: Management

Sports Analytics and Big Data: A Guide to Analyst Training

Posted on by Imarticus Learning

Big data and data analytics are becoming widely popular terms in today’s technologically dominant landscape. Numerous organisations and sectors are embracing these emerging technologies to make fruitful use of data. The sports industry is also leveraging big data analytics to revolutionise sports.

Data analytics and sports might seem completely unrelated. But, data analytics has proven useful in improving game quality, fan experience and player safety. Nowadays, sports analytics are taken very seriously by professional teams, managers, coaches and players.

 

Data analytics jobs are in huge demand these days. These jobs pay well and provide several opportunities to aspiring data scientists. If you are a sports fan, you can now have a rewarding career as a data analyst. Sports analytics is the perfect career choice for you, allowing you to pursue your love for sports. However, since data analytics is a technical field, you need to have proper data analyst training.

How is sports analytics changing the game?

It helps coaches make decisions regarding the recruitment of athletes.

Player recruitment is an important part of any sport, particularly at the professional level.

Many modern sports franchises are leveraging data analytics to recruit the right players for their teams.

Data is being used to identify and hire talented but undervalued players.

Universities are also using data analytics to discover potential upcoming athletes. This allows them to understand where to invest their time and efforts.

It helps broadcasters create a better viewing experience for fans.

Sports commentary makes watching a sport more fun. The broadcasters provide stats and facts for viewers to understand the importance of each event. This makes the viewing experience more compelling. This is made possible by big data analytics.

Big data is also being used to increase live attendance in stadiums by satisfying fans and enhancing their overall experience of watching a game live. This can be done by analysing which games have better chances of selling swiftly and prompting frequent audiences to buy tickets.

Another way to compel audiences to watch games live is to improve the supply of items that are in high demand. This can include merchandise, eatables, etc., which can improve the viewer experience.

Big data can also be useful in tackling the factors which affect the viewer experience negatively. For instance, it can save viewers from the struggle of finding a parking spot by carrying out traffic analysis.

It is used to create better sporting strategies.

Strategy plays a significant role to win a game. Be it an individual sport or a team sport, players cannot compete without a strategy in mind.

Coaches make use of big data to create personalised winning strategies for each player and the team as a whole. For example, Liverpool FC’s coach used data analytics to compete against opponents and emerge as winners of the Premier League.

It helps in live data collection.

Data like speed, distance, mileage, etc. is difficult to gather manually. However, with wearable devices operated using artificial intelligence and machine learning technologies, vital data can be collected in real-time.

The devices are worn by players or attached to their clothes to keep track of player performance and fitness variables like heartbeat, speed, etc.

This data can help coaches in preparing an ideal fitness plan for players and improve their safety.

RFID tags are also attached to players or their sports equipment to collect crucial data.

It allows better judgment.

Many times, a situation occurs where the referees might find it challenging to take a decision. Thus, they might end up taking the wrong decision. This impacts the whole game and demoralises the players.

With big data and analytics, sports authorities now make use of devices that can track data which is difficult to be observed by the human eye. For example, it can give information on a strike or a ball hit that could be missed by referees.

Sports analytics is a relatively new field and the sports industry is still in the process of optimising its applications. Thus, it has a huge scope for research and development.

However, data analyst training is necessary to enter this job market. Our team at Imarticus Learning has designed an data Analytics and Machine Learning course to kickstart your data analyst career. Our Postgraduate Program in Data Analytics and Machine Learning comes with guaranteed interview opportunities and extensive career services. Graduates and professionals (with up to 5 years of experience) having a technical background are eligible to apply.

Sports analytics is an upcoming and interesting area of work. Join the big data revolution to make sports more fair, entertaining and competitive.

The Future of Programmatic Marketing: Machine Learning Certification Course in 2023

Posted on by Imarticus Learning

The world has observed rapid growth in Programmatic Marketing. Companies are expanding huge sums of money on programmatic advertisements. It was estimated that companies will spend around $542.31 billion in this industry. This number will continue to grow in the future. 

Machine learning plays a huge role in the industry of programmatic marketing. If you are willing to commence a career in programmatic marketing, then you will require an online machine learning certification course. In this article, we will discuss the future of programmatic marketing and the role of machine learning in it. 

What is Machine Learning?

One of the most important subfields of Artificial Intelligence (AI) is Machine Learning (ML). Machine learning allows a machine to remember and learn without any complicated programming language. The learning procedure is only possible by identifying patterns and analysing data. Industries around the globe can enhance their business and marketing by simply using machine learning. This technology furthermore strives to comprehend the customers and their behaviours. 

What is Programmatic Marketing?

Programmatic Marketing is the distribution of advertisement that does not involve any human being. In other words, this means selling and buying products with the help of advanced software in the digital space. To target customers, programmatic marketing extracts data like age, location as well as interest. This helps the companies to easily target their customers and yield more percentages. 

How is Machine Learning Used in the Field of Programmatic Marketing?

 

As we already know the definitions of machine learning and programmatic marketing, let’s learn how these two aspects are interdependent. Machine learning is mainly used in programmatic marketing to extract and analyse data from myriad sources. It also sorts customer data patterns and assists companies to understand their customers. This helps these companies to enhance themselves as well as their services and campaigns. For example, a retailer may use the insights to check the items the customers purchased during a particular season so that they can yield more revenue in the next year.

Machine learning can even target customers from various sources like social media and online traffic to advertise a particular product of a particular company. Like this, it can enhance the performance of the advertisements as well as the reach of the products. If a company is willing to increase its reach and campaign performance, then opting for machine learning will be the wisest decision.

What Does the Future of Programmatic Marketing Store for Us?

The future of programmatic marketing is very bright and will keep on growing. Companies are already investing huge sums of money in this arena and this investment will increase in the future. As the world is getting dependent on programmatic marketing, many modifications will take place in future. Here we have discussed a few of those modifications. 

Supply Path Optimisation (SPO)

Supply Path Optimisation is a very new term and is being used very recently. However, according to the predictions, the usage of SPO will only increase in the future. The main purpose of SPO is to make the supply chain easier between publishers and advertisers.

Demand Path Optimisation (DPO)

Demand Path Optimisation is the inverse of Supply Path Optimisation. Its emphasis is on the buying factors rather than the selling factors.  When DPO is incorporated with SPO they create better transparent terms with the potential buyers.  DPO can boost revenues and reduce unnecessary risks from ad vendors.

Programmatic Audio

Programmatic Audio is something very similar to display advertising. However, here advertisements are played in the form of audio. This method can be used on the radio, podcasts and music streaming applications. 

A World Without Any Cookies 

Industries are planning to eradicate all the cookies used by third parties. By the end of 2023 companies are willing to terminate the two decades old practice. Subsequently, brands and marketers will use solutions that are user-oriented and will focus on privacy as well. 

Conclusion 

If you want to commence a career in programmatic marketing then you must enrol yourself in a certificate program in data science and machine learning. This online course will help you to earn the requisite skills and knowledge about programmatic advertisements. Besides, this program will also open many opportunities for those who want to commence a data scientist career. So without any further delay enrol yourself on the certified program by Imarticus Learning.

Earned a data science certification? What next?

Posted on by Imarticus Learning

A Data Science Certification course can be an excellent way for students to gain the skills and knowledge needed to pursue a career in data science. The course will provide an in-depth overview of data science concepts, techniques and technologies essential for success in this field. Through the certification program, students will develop the ability to manage and analyze large datasets effectively, create visualizations from their findings, build predictive models, and confidently use machine learning algorithms.

best data analytics course

By completing a Data Science Certification program, students can access job opportunities at established tech companies and cutting-edge startups that require skilled professionals familiar with data science tools and best practices. Furthermore, they will acquire the technical expertise necessary to tackle real-world problems and develop innovative solutions. With the acquired knowledge, students can pursue various roles, from data analyst to data engineer to data scientist.

By having a Data Science Certification, employers will recognize that you have the skill set needed to succeed in the ever-changing world of Big Data and Analytics. Your certification will also demonstrate that you have taken the initiative to acquire more specific skills related to this field and be committed to learning more.

How can PG in Data Analytics after data science certification help?

A PG in Data Analytics can help students build upon the skills and knowledge gained through completing a Data Science Certification program. This program offers hands-on projects, allowing students to further develop their expertise in data science tools while applying them to real-world scenarios. Students will learn advanced techniques such as natural language processing, deep learning, and image recognition that cannot be acquired through a certification program alone. Additionally, some postgraduate programs guide how to create a portfolio that successfully showcases your capabilities as a data scientist. Finally, the postgraduate program may offer mentorship from industry professionals or networking opportunities with other experts in the field, both of which are invaluable for career growth. Combining a Data Science Certification with a Post Graduate Program in Data Analytics gives students a strong foundation for developing a successful career in this field.

Thus, it is clear that with the help of a data science course with placement and a postgraduate program in data analytics, students can transform their careers and get desirable growth opportunities. With the acquired knowledge and skillset, they will be prepared to take on challenging roles in data science and remain competitive in this rapidly changing field.

How does Learning Hadoop help with Data Science and Data Analytics?

Learning Hadoop can be beneficial for those interested in data science and analytics. Hadoop is an open-source software framework that stores, processes, and analyses large datasets quickly and efficiently. It enables developers to write programs that process massive amounts of data across distributed clusters of computers. By learning Hadoop, students will gain the skills and expertise necessary to build more complex data systems and manage large-scale datasets. Furthermore, when you learn Hadoop online, it allows you to understand the different parts of a data science project, from building an ETL pipeline to producing meaningful insights. Therefore, adding Hadoop to your data science skill set can open up new possibilities for career development.

Making a Career Transition with Imarticus Learning:

Are you looking for an edge in the highly sought-after data science and analytics field? Imarticus Learning has just what you need! Their personalized Postgraduate Program In Data Science And Analytics is designed to give recent graduates and professionals a head start on their careers. You will gain industry knowledge and the practical skills necessary to succeed in this ultra-competitive job market – all while benefiting from guaranteed job assurance upon completion of your program! With 25 real-world projects crafted by experts geared explicitly towards today’s businesses, get ready to make waves as one of tomorrow’s tech superstars starting now with Imarticus Learning.

Course USPs:

  • Build a strong foundation of Excel for data analysis
  • Summarise data with pivot tables and charts
  • Build a solid foundation for programming
  • Practice coding skills with 20+ coding questions
  • Build a strong SQL foundation for data querying
  • Create datasets for data analysis
  • Run data analysis process using Python libraries

Is a postgraduate program in data science worth the hype?

Posted on by Imarticus Learning

There is no doubt that data science is one of the most popular and in-demand fields today. 

And with the ever-growing amount of data being generated daily, the demand for qualified data scientists will only continue to increase.

A postgraduate program in data science can be an excellent investment for your future. The field of data science is constantly evolving, and having the latest skills and techniques can help you find more attractive job opportunities. And with the internet age, you can learn data science online right from home.

So, if you’re considering a data scientist career, a postgraduate program in data science is definitely worth the hype! 

In this blog, we’ll look at a few reasons why that’s the case

  • In-Demand Field

Data science is one of the most in-demand fields today. Companies are always looking for ways to improve their business operations and make better decisions. 

With the rapid growth of data-driven industries, there is a constant need for experts who can analyze and interpret large data sets.

Data science combines computer science, statistics, and mathematics skills to extract knowledge and insights from data using various techniques. They then use their findings to build predictive models and make business recommendations.

Data scientists use their skills to solve real-world marketing, finance, healthcare, and more problems.

  • Competitive Salary

A postgraduate program in data science can provide you with a competitive salary. With the right skills and experience, you can easily earn well enough.

In general, data science is a very lucrative career choice. The average industry salary for data analytics and machine learning roles is between Rs 5-25 Lacs. With the right skills and experience, you can easily earn well enough to support yourself and your family.

  • Make You Skilled

A postgraduate program in data science can help you build a successful career by equipping you with the latest tools and techniques to tackle real-world problems effectively.

The program will enable you to identify and solve complex business problems by applying data-driven methods. You will also learn to communicate your findings to decision-makers effectively.

Working on real-world projects will allow you to gain practical experience that will be invaluable in your future career. In addition to the practical experience, you will also gain a deep understanding of data science concepts. This will help you develop new skills and knowledge to apply to your future career.

  • Specialisation

A postgraduate program in data science will allow you to specialise in a particular area of data science. It will make you more valuable to potential employers, as you’ll be able to offer them a more specific skill set.

Many types of data science programs are available, so choosing one right for you is essential. Consider your career goals and the kind of data you want to work with before deciding.

You can become a data scientist, machine learning engineer, business analyst, AI engineer, web and social media analyst, ML consultant, etc. There are many possibilities for you to explore.

  • Networking

Networking is an important part of succeeding in any field, and data science is no exception. With the right approach, you can easily make connections that can help you advance your career.

In addition to networking, postgraduate programs in data science can also help you learn from some of the best minds in the field. You’ll have access to lectures and seminars from world-renowned data scientists, and you’ll be able to learn from their experiences. This can help you develop the skills you need to succeed in your career.

  • Certification

The certification from a prestigious institute will put a stamp of authority beside your name and give you credibility. Your employers will feel more confident in working with you.

Conclusion

Data science is a rapidly growing field, and there will be plenty of opportunities for you to advance your career. With the right skills and experience, you can easily become a leader in the field.

You can learn data science online if you’re looking to pursue a data scientist career. Imarticus Learning offers a data science course with placement. It’s designed for students who want to learn data science from the ground up, and it includes complete access to our online learning platform, so you can start putting your skills to use immediately. You can visit one of their centers to learn more about the program.

If you’re considering a postgraduate program in data science, hesitate no more! The time to take the next step is now. 

What are the essential components of exceptional supply chain management?

Posted on by Imarticus Learning

At the most basic level, Supply Chain Management oversees the entire production process, from procurement of raw materials to manufacturing them into goods to finally selling them in the market. This binds an organisation together by keeping both the suppliers and producers in a loop.

Supply Chain Management is very much in demand in recent times because of the rapidly evolving industry. This kind of management helps organisations to reduce costs by streamlining the entire production process and at the same time, making huge varieties of products available to the customers according to their needs. There are several courses that provide certifications for supply chain professionals. 

The major tasks of an efficient Supply Chain Management team involve the following- 

  • Material handling
  • Service creation
  • Fulfilment of the order
  • Information tracking
  • Product lifecycle management 
  • Supply chain planning

Essential Components of Supply Chain Management

  • Efficient Planning- You must make a plan in advance to satisfy the distributor’s or the customer’s needs. To keep ahead of demand, preparedness is essential, even if your company just makes up a small portion of the supply chain. Planning becomes vital in this situation. You must ascertain the impact your company has on the supply chain before deciding how to preserve efficiency while providing your customers with continuous value. Inventory levels are automatically updated as items enter and exit a warehouse, and the information is updated. From there, you may examine the info, predict demand and order the products or resources required to satisfy future consumer demands.
  • Low-cost sourcing- Making decisions about who gets what is a component of Supply Chain Management. You must supervise order transactions, control inventory movement, approve payments and occasionally send out advanced shipment alerts when there is an anticipated delay even in the warehouse or distribution centre.
  • Modern technology usage- It is crucial to keep an inventory to have a highly successful Supply Chain Management system. An inventory is a ready list of the things, supplies and other necessities needed to make a good or provide a service. To distinguish between available stock and required stock, this list must be updated frequently. The ability to produce and sell products is impossible without effective inventory management, hence it is essential to the operation of Supply Chain Management. Currently, businesses are beginning to pay greater attention to this component due to its influence on production.
  • Efficient production and delivery- Your company needs a supply chain to guarantee the traceability and authenticity of every item if it deals with any form of food, drink or chemical. For example, Supply Chain Management makes sure that the ingredients required to make a box of cereal have been accepted, processed, shipped, stored and delivered following stringent guidelines.
  • One option to automate this part of the supply chain from a warehouse perspective is by employing barcodes for validation and traceability. Supply Chain Management and logistics are conjoint. It’s critical to coordinate orders, pick and pack, plan deliveries, invoice, dispatch, notify and collect payments. Every exchange along the road needs to be closely watched to ensure there are no mistakes or delays, even when using third-party courier systems.
  • Reverse logistics- Building networks to facilitate and speed up product returns is another aspect of Supply Chain Management. Finding a new use for the goods includes considering options like reproduction, scraping or putting them back in the warehouse. Supply Chain Management involves being adaptable and satisfying the needs of the customer, in addition to adjusting to changes in supply and demand.
  • Grasping trends accurately- A constant flow of information controls the world today. A company must keep up with all the most recent information regarding the numerous facets of its production to be successful. If the information is effectively and promptly communicated throughout the different levels of the organisation, it will be easier to understand the market patterns of supply and demand for a specific product. In a knowledge-based economy, information is essential, and a business’s prospects may be doomed by ignorance of any business-related topic.

Supply Chain Management Course

Nowadays, Supply Chain Management is a very popular course. To be successful in this dynamic, ever-changing industry, businesses need teams with adequate supply knowledge to help them and guide them. This field provides huge growth opportunities because of being highly demanded.

The IIT Roorkee Supply Chain Management course is provided by Imarticus. Their professional certification in Supply Chain Management and Analytics is an ideal program one can choose to become a supply chain analyst. This program provides you with live classes by top professionals and industry experts, hands-on learning experience with real-life Supply Chain Management project work, and an IIT Roorkee alumni status.

This certificate course will help you gain job-relevant skills and will help you take strategic decisions. It helps you with impressive learning and project portfolios that will help you in the placement process. If you want to take up a Supply Chain Management course, this is your ideal choice. 

Conclusion

Supply Chain Management is a crucial part of the dynamic business world. It deals with the most crucial aspects of a business. Hence, proper training courses must be taken up to be able to contribute to the success of an organisation. The right course like that of Imarticus will provide you with an accurate skill set and proper training, helping you get attractive offers. To succeed in Supply Chain Management, one must make decisions that will shape the course of a business, so it is advisable to take a certificate course to have hands-on experience.  

Why is the supply chain a principal driver of business growth in 2023?

Posted on by Imarticus Learning

A supply chain is a network of people, resources and organisations involved in creating a product for sale. This chain-like system starts by sourcing the raw materials, turning them into valuable products, and finally making them ready for sale.

In recent times, the supply chain has evolved by streamlining the process of making goods available to consumers at a much lower cost. This has increased the living standards of society as a whole. The entire process of manufacturing and producing goods has become a whole lot easier. The supply chain keeps the group of suppliers and producers connected and managed efficiently. 

There are huge growth opportunities in this field as jobs are increasing with each passing day. To become a supply chain analyst, more people are showing an interest in this field and looking for the best supply chain management courses to pursue. 

There are many ways in which the supply chain is evolving in this ever-changing world – 

  • They are making it easier for the consumer to purchase products from a store or online websites. 
  • They are incorporating a lot of climate-friendly measures in the production of goods. They are making sustainable environment-friendly goods to attract climate-conscious consumers.
  • They are constantly adopting new practices of sourcing raw materials and also trying out new suppliers to bring in a variety in their product ranges and make them appealing. 

Importance of Supply Chain as a Driving Force of a Business

  • Better after-sales service

    The main responsibility of an efficient supply chain is its customer service and how it manages the flow of services required after a sale is made. This decides the satisfaction of a customer and ultimately, the fate of the company. Customers should get optimum support, answers to all their queries, and solution to their issues. The job of the supply chain is to keep the after-sales service accessible for all so that the customers can contact them as and when required. This will make them feel connected to the organisation.

     

  • Upgrading the product quality
    This is one of the most important tasks of a supply chain. In this dynamic world with fast-paced industrial evolution, they should try to upgrade the quality of launched products constantly. They should play around with the packaging to make it lucrative or they should work on procuring long-lasting, durable products which are eco-friendly to attract all kinds of consumers. They can also invest in sourcing high-quality raw materials, which will make the products heavy-duty, adding to the goodwill of the business.
     

  • Reducing manufacturing costs

    Reduction of costs is the most difficult task for a business to handle and that is why supply chain teams try their best to incorporate cost-effective measures for the production of goods. This involves introducing newer low-cost machinery, buying raw materials at the wholesale rate, reducing the number of defective items, and increasing the efficiency of the chain system. They could also work to limit the number of suppliers so that the cost can be managed as well as try to target a large range of consumers so that the sale increases, generating profits for the company.

     

  • Introducing optimal marketing strategies

    It is the role of the team to come up with alluring strategies to increase sales. They should present the product in the best way to attract customers to make a purchase. Increased use of advertisements and social media can also be fruitful in generating buzz about a product. This is the deciding factor for the success of a product.

     

  • Bettering the financial condition

    The supply chain team has to work towards improving the financial position of the business. It has to produce good quality products so that the customers return to make a purchase again. This is linked to the company’s goodwill, helping it build a brand name and bettering its position. It has to work in a way that the company generates profits, has reduced production costs, increased cash flow, and reduced fixed assets. This will prove that the company is adapting to new changes and making progress, adding to its success. 

Supply Chain Management Course

Supply Chain Management is a course that is very much in trend these days. In this dynamic, ever-changing industry, businesses require huge teams with adequate supply knowledge to help and guide them in this process for a company to emerge successful. 

Several courses provide certifications for supply chain professionals, but they are not always legitimate or helpful in improving your skill set or providing you with proper training. The best supply chain management course with analytics is provided by Imarticus. Their professional certification in supply chain management and analytics is in collaboration with IIT Roorkee.

This program provides you with live classes by top professionals and industry experts, hands-on learning experience with real-life supply chain management project work, and an IIT Roorkee alumni status. This certificate course will help you gain relevant skills and will help you take data-driven decisions at strategic levels. It helps you with impressive learning and project portfolios that will help you in the placement process. If you want to enrol in a supply chain management course, this is it. 

Conclusion

A Supply Chain Analyst is a profession that has been rapidly evolving in the last few years. It deals with the most important aspect of a business — demand, and supply.  One needs to take up a proper course to know the trends and dynamics of it to be able to contribute to the growth of an organisation. The right course will provide you with the accurate skill set and proper training, making you lucrative to recruiters. Supply Chain Management is not as easy as it looks and requires one to take decisions that could make or break a business, so it is advisable to take the required guidance before you step in. 

IIT-Roorkee Machine Learning Certification: Why It Is Important?

Posted on by Imarticus Learning

As we all know, the technological revolution is taking the world by storm. Every day, new technologies are being developed and used to solve problems in many different fields. One of these technologies is machine learning which has come a long way. As a result, an IIT-Roorkee Machine Learning Certification is becoming increasingly important for anyone who wishes to stay ahead of the curve.

The IIT-Roorkee Machine Learning Certification provides students with a comprehensive overview of the field and its principles. From understanding foundational concepts to practical applications in real-world scenarios, this certification helps equip learners with the knowledge they need to succeed in a rapidly changing world. Additionally, the program allows learners to stay ahead of the curve by learning cutting-edge techniques and algorithms for machine learning tasks.

This post will discuss why the IIT-Roorkee Machine Learning Certification is important. We will explore how it can help learners stay abreast with the latest developments in machine learning and help them gain a competitive edge in their respective fields.

Why Is IIT-Roorkee Machine Learning Certification Important?

IIT-Roorkee Machine Learning Certification is important for a variety of reasons.

First and foremost, it equips learners with a comprehensive understanding of the field. The program covers both theoretical and practical aspects, helping learners develop an in-depth understanding of the fundamentals as well as more advanced concepts. As a result, learners are better prepared to apply their knowledge in real-world settings.

Aside from providing a broad overview of machine learning principles, the IIT-Roorkee Machine Learning Certification also emphasizes the importance of staying up-to-date with the latest advancements in the field. Learners are exposed to the newest techniques and algorithms which they can use to tackle complex tasks. This ensures that learners remain on top of their game, allowing them to stay ahead in their respective fields.

Finally, the IIT-Roorkee Machine Learning Certification also provides learners with valuable industry connections. Learners have opportunities to network with professionals from various industries and gain valuable insights into their respective fields. This helps them remain knowledgeable on the latest trends and advancements in their chosen field.

How can one pursue the IIT-Roorkee Machine Learning Certification?

The IIT-Roorkee Machine Learning Certification is offered as an online program. The course consists of several modules, each module focusing on a different aspect of machine learning. Learners can take all the modules at once or just choose certain ones to focus on depending on their interests and goals.

The course is also designed to be flexible and accommodate different learning styles. Learners can choose from various materials such as videos, lectures, quizzes, and more to best suit their needs. Moreover, the instructors are highly experienced professionals who have a deep understanding of machine learning principles and techniques.

Apart from the online course, prospective learners can also opt for an on-campus program that focuses specifically on the IIT-Roorkee Machine Learning Certification. This option is ideal for those who want to take their time and gain a deeper understanding of the subject.

So, no matter what path you choose to pursue, the IIT-Roorkee Machine Learning Certification, you can be sure that it will be a valuable asset for your professional development. Not only will this help you acquire the skills and expertise to remain informed on modern industry trends, but it will also open up career prospects in an assortment of sectors.

Explore Data Science and machine learning with Imarticus Learning

Do you want to become a data scientist and enhance your machine-learning abilities? Then look no further! IIT Roorkee Certificate Program in Data Science and Machine Learning is the perfect avenue for you. Start building up foundational knowledge today so that you can develop skills in this high-demand field tomorrow!

 Course Benefits For Learners:

  •  Learn from IIT Roorkee’s experienced instructors.
  • Gain in-depth knowledge of the fundamentals as well as advanced concepts of Data Science and machine learning.
  • Give yourself a career advantage with our IIT Roorkee data science online course – where you will gain an in-depth 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.

A Brief Timeline of AI: Here’s Why you should opt for an IIT Artificial Intelligence Course

Posted on by Imarticus Learning

In today’s digital age, technology has taken giant strides across every stream. Various sectors like are adopting or upgrading technology at a rapid pace. Artificial intelligence (AI) technology has gained significant popularity in recent times. AI adoption helps streamline processes, to reduce man-hours and overhead costs across sectors. So, sectors are adopting AI technology creating increased job opportunities in the AI field. Examples are education, the corporate sector, tourism, healthcare, retail and hospitality.

The IT market expects to reach $190 billion by 2025. By 2030, AI is expected to increase global GDP by $15.7 trillion. With so much happening on the AI front, it is natural for tech enthusiasts to look out for AI courses.

Does AI and Machine Learning (ML) make you curious? Do you want to learn AI but do not know where and how to start? Courses like IIT AI ML Course provide the best learning outcome for AI and ML learners.

Continue reading this blog to understand AI. Also, what makes an IIT Artificial Intelligence Course so unique for AI learners?

What is Artificial Intelligence?

AI is a computer science branch. It talks about developing intelligent machines to think and work like humans. AI simulates human intelligence through machine technology. For instance, learning and speech recognition. Different factors are responsible for developing AI. These include ML, neural networks, big data, and natural language processing. AI finds use in different industries. It saves time and effort across processes. So, AI has gained increased prominence in the modern tech-enabled world.

Who is an AI Professional?

An AI professional develops an intelligent algorithm to analyse and forecast future events. They create machines to reason, think and function like humans. An AI professional studies human brain functioning. It helps them to develop computer programs that replicate human cognitive abilities.

Who can learn Artificial Intelligence?

Students or tech career aspirants interested in learning artificial intelligence and data analytics. Also, people who love programming. People with knowledge of programming languages like Python etc.

 How can one learn AI?

The popularity of AI technology has led to many AI courses now being offered. AI Courses Online and offline are both available. Even weekend courses are available for students or working professionals. One can start AI learning with advanced mathematics and then consider learning to code. The IIT AI ML Course offers practical knowledge of ML, deep learning, and AI concepts. It also provides real-world AI and MI projects. It will help a student or professional build a strong AI concept for becoming an AI professional.

Skills required by AI Professional

Anyone looking to become an AI professional should have below skills:

· Technical knowledge of data insights

· Knowledge of algorithms, advanced mathematics, and statistics. A post-graduate degree in these areas will help.

· Advanced knowledge of programming languages like R, Python etc.

· IT industry knowledge and the latest AI and ML trends

· Communication and presentation skills

What Career Path can AI professionals take?

An IIT Artificial Intelligence Course will help you become

·         AI Engineers to create artificial intelligence models

·         ML Engineers to develop, build and manage data-enabled ML software applications

·         Big Data Engineers to develop  systems for communication and data collection

·         Data Scientists to collate and interpret data and predict information

·         Data analytics to analyse data and mine insights. Use the information to make business decisions

What’s unique about the IIT AI ML Course?

The IIT AI ML Course is a 9-month Artificial Intelligence and Machine Learning Course. The course is a tie-up between Imarticus Learning and E&ICT Academy, IIT Guwahati. The advanced IIT Artificial Intelligence Course helps master AI and ML concepts. Aspiring AI and ML career aspirants will find this state-of-the-art course very insightful.

The IIT AI ML Course offers the below benefits to make you a new-age AI and ML Specialist.

· Prepares for Data Scientist, Data Analyst, ML Engineer, and AI Engineer roles

· Master ML & AI skills via the IIT Artificial Intelligence Course. E&ICT Academy and AI & ML industry leaders have designed the course.

·Data science, machine learning, deep learning, natural language processing and computer concepts covered in the course

· Gain hands-on experience with 20+ live AI-ML business projects

·Take part in a unique 3-day Campus Immersion module at the E&ICT Academy, IIT Guwahati Campus. Interact with their students and AI&ML faculty.

· Get an opportunity to take part in a national Hackathon to upgrade your AI and ML expertise

Conclusion

AI has become important in today’s dynamic business environment. IIT AI ML Course offers AI concepts. It offers an expert mentorship facility. Practical real-world knowledge of AI and ML forms part of the course. It is a partnership between Imarticus Learning and E&ICT Academy, IIT Guwahati. Our course offers live AI and ML projects from different industries. It helps your transition as an AI professional.

For more on our AI program, visit our website, chat support, or training centres. We are in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, and Ahmedabad.

5 Examples where Tableau can Simplify Your Analysis

Posted on by Imarticus Learning

A tableau is a powerful tool for analyzing data but doesn’t replace statistical software. Tableau can simplify your analysis process by allowing you to visualize the results of your analysis in a way that’s easy for others—and yourself—to understand.

In this post, we’ll look at five examples where Tableau simplifies your analysis:

Finding the right data can be complex.

corporate leadership

Data quality is a huge issue in data analysis. With the right data, it can be easy to make extraordinary discoveries and gain insights through your analysis. However, if you’re trying to find the right data out of thin air or if there is no way for you to get hold of specific information (like records that are only available electronically), finding good results will become an uphill battle. Tableau can help with both these problems by allowing users access to different sources of information so they can find exactly what they need when they need it most!

Self-service analytics

Self-service analytics means allowing non-technical users to work with data. A tableau is a great tool for this analysis because it’s easy to use and learn, so you don’t need extensive technical knowledge or training.

Tableau has many benefits when it comes to self-service analytics. The software can be used on mobile devices, making it easier for your organization or business unit to analyze its data on the go—and without needing any special hardware or software.

Location-based analysis

A location-based analysis is a powerful way to analyze data by location. For example, you can use Tableau to find patterns in your sales data by state or zip code. You can also visualize this information and see what’s happening at a particular store or location based on where people buy products.

Visualizing and presenting data

A tableau is a tool for making data-driven decisions. It’s also a tool for visualizing data, presenting it in charts and graphs that make sense to people who aren’t experts on analytics or statistics. And finally, it’s a tool for communicating your analysis—to other people who may be working on similar projects but with different goals than yours.

Combine multiple sources of information 

You can use Tableau to combine data from multiple sources in one place. This powerful capability can simplify your analysis, particularly when combined with advanced mapping functionality. 

Tableau can be used as a standalone tool or integrated into other analytics software like Excel or SAS. Learn Tableau online with other data sources such as Microsoft Access or SQL Server databases. 

Discover a career in data analytics with Imarticus Learning

With this data science course, you can become a data analyst and receive a job offer. Create complex models using data science that produce vital business forecasts and insights by putting your new knowledge to practical use.

Course Benefits for Students:

  • The most widely used data science methodologies and tools, as well as data analytics and the fundamentals of machine learning, will be familiar to students.
  • To receive a data analytics certification course, students must complete 25 real-world projects and case studies directed by business partners.
  • Using a data analytics tool to display data is one of the most in-demand skills in the market. Therefore, recent graduates and those starting their careers might want to think about enrolling.

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

How To Build a Twitter Sentiment Analyser Using Natural Language Processing

Posted on by Imarticus Learning

Natural language processing is the capability of the computer program to comprehend the human language, both verbally and manually and then use it for communication. Computer systems use linguistics, computer science and artificial intelligence for this complex operation. After understanding the context of the textual or verbal content, they can use it to infer, analyse, and make something of their own. In simpler terms, they are trying to understand and use language just like a human. 

Building a Twitter sentiment analyser

NLP is a part of a machine learning course with placement. You are trained to develop code for activities like these, where you will be building a Machine Learning model that will try to understand the sentiment behind a tweet. Using this Twitter sentiment analyser, you can try to understand which tweets have hate speech or objectionable speech in them. It could also be used to filter sexist and racist tweets as well. It is an activity that is related to supervised learning.

For this activity, you would need the following:

  1. Coding knowledge of Python.
  2. You will need to use various libraries of Python and natural language processing.  
  3. A dataset consisting of tweets. This dataset can be downloaded from the Twitter API.
  4. Knowledge of three classifiers – logistic reasoning, Bernoulli Naïve Bayes and Support Vector Machine (SVM)

Coming to the dataset will contain various fields like:

  • Twitter handles: The id of the user
  • Ids: Unique tweet id
  • Date: The tweet date
  • Flag: It refers to the social platform’s filtering response to indicate the query’s polarity, i.e. is the tweet positive or negative? If no such response exists, then the default value of this response is NO QUERY.
  • Text: The text of the tweet. This is the content that we have to process and comprehend the context.
  • Stopwords: A list of stopwords or words that are irrelevant for processing is provided to the machine learning dataset so that these words are not used in the assignment.

 

The rest of the other fields will be removed or overlooked while the text will be processed for sentiment comprehension and reporting. This machine learning technique is used by all websites, mainly social media platforms, forums and dating apps, to filter and remove objectionable content. Along with the filtering script, the sentiment analyser is used to understand the milieu of the tweet.

What does the project pipeline contain?

The chronological steps that form the project pipeline for the machine learning assignment are given below:

  • Import the required dependencies i.e. the ML libraries that are required to understand the emotion behind the tweet. For this, you could import the Seaborn library or the Wordcloud library.
  • Read and load the dataset. The dataset will be loaded onto the ML model after cleaning the raw data and extracting the information relevant to the code development target.
  • Exploratory data analysis. Analysing the data for the specific target variables. Which tweets have the data variables and which tweets do not have them? The empty values are treated as NO QUERY or null valued fields.
  • Data visualisation of target variables. The visualisation of the usage of the target variables in a pictorial manner will tell how densely the emotional words are used. This will help in extracting the necessary language indicators that will help to understand the context of the tweet.
  • Data pre-processing. After the visualisation has been done, the data will be further filtered for being split up and for training the machine learning model for future analysis of the tweets. Stemming and lemmatization are performed in this step which helps to reduce the language to its root form by understanding the meaning of the words.
  • Splitting our data into train and test subsets. This is an intermediary step which will be necessary for the training of the model.
  • Transforming dataset using TF-IDF vectorizer. This will help to evaluate the model with the help of the transformed data. The polarity of the words, either positive or negative will be processed for matching with the sample data. Here numerical values are given to various emotions.
  • Function for model evaluation. The context will be understood in this stage based on the sample dataset and the inferred dataset. After that, a comparative analysis will be done which will help us to understand the extent of the polarity of the words.
  • Model building. After the sample dataset has been analysed and processed for the context, this data will be used for the evaluation of future data.
  • The assignment will be concluded with the necessary inferences from the experiment and analysis of the sample dataset.

Once you enrol for PG in data analytics, you will learn more about this in greater detail. Also, if you take admission with Imarticus Learning for a PG program in machine learning and artificial intelligence, you will participate in live projects that will help you understand how to manage professional responsibilities.

To sum up, if you plan to learn how to build Twitter sentiment analyser or similar programs, then learning natural language processing is the right first step. Here, you will learn the basics of AI and ML, which will help you build such an extensive program without any hassle. 

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