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Category: Analytics

Top 15 Scrum Master Interview Questions

Posted on by Imarticus Learning

Scrum is a framework under the agile methodology that allows quick iterative modulations for a project under agile principles. The Scrum Master has a crucial role to play when it comes to project management. Scrum masters are responsible for overviewing the project development process and managing the scrum team to boost overall productivity. Given the importance of this role, it has become a lucrative career prospect for people in the IT industry. A Scrum certification can help you obtain relevant knowledge regarding the domain.

Important Interview Questions with Answers

Here is a list of top 15 scrum master interview questions with answers to help you prepare for your job interview.
Q. What are some important benefits of performing Scrum?
A. Scrum helps to continuously improve the process by repeatedly looking into the actual performance of the software. It has more transparency and visibility. It also reduces the cost of failure and boosts the ROI for the project.
Q. List the main artifacts of the scrum process.
A. Some of the main artifacts of the Scrum process include product backlog, velocity chart, sprint backlog, burndown chart, and product increment.
Q. Define a Scrum sprint.
A. A Scrum sprint can be understood as a short time-frame during which a scum team completes a work. The work here includes a potentially releasable product increment.
Q. What do you understand by product backlog in Scrum?
A. A Scrum product backlog can be explained as a list or menu that includes all the activities that need to be done in the project. The items on this list can be technical or user-centric.
Q. Explain the role of a Scrum Master in Scrum.
A. The main role of a Scrum master is to overview the project requirements and make sure that the team is meeting the project deadlines. The Scrum Master is also responsible for removing any impediments in the process and ensures that all Scrum practices are followed. They have to boost the overall productivity of the team in the process.
Q. Describe the main elements of the scrum burndown chart.
A. The scrum burndown chart has two axes; the X-axis and the Y-axis. The X-axis depicts the total working days whereas the Y-axis displays the work due in the process. Other elements include the start point, finish points, ahead of schedule, behind schedule, estimated and actual task remaining.
Q. Briefly explain the drawbacks of using scrum.
A. One of the drawbacks of using scrum is that the daily meeting and frequent reviews require substantial resources and continuous changes.
Q. Explain the concept of velocity concerning Scrum.
A. Velocity is simply the total effort a team is capable of in a sprint.
Q. What is the story point in scrum?
A. The story point can be understood as a parameter used in agile project management to assess the difficulty of executing a given user story.
Q. Explain scrum poker.
A. Scrum poker is a method to evaluate the relative size of development goals in the software development process.
Q. How is scrum different from the Iterative model?
A. Scrum is a combination of iterative and incremental model.
Q. Explain the ceremonies performed in Scrum.
A. The three major ceremonies performed in scrum are Planning meeting, review meeting and retrospective meeting.
Q. Mention any two other agile methodologies apart from the Scrum.
A. Two other agile methodologies apart from Scrum are KanBan and Lean.
Q. What should be an ideal time-frame for a sprint?
A. An ideal timeframe for a sprint can be two to four weeks.
Q. How can you track progress in the sprint?
A. Any progress in a sprint can be tracked down by the Burndown chart.

India Moves to Install an Automated Face Recognition System

Posted on by Imarticus Learning

What is Facial Recognition?

Facial recognition is a technique that allows the identification of an unknown person or helps determining a specific person’s identity just by using their face.

It is a part of artificial intelligence technology called computer vision. Facial recognition, however, is specialized and can come with baggage and some spoofing vulnerabilities for a few applicants.

How Does Facial Recognition Work Exactly?

Early automated face recognition systems depended on biometrics, like the distance between the person’s eyes, which would convert the two-dimensional features being measured into numbers that would help describe the face. This process of recognition involved comparing these vector values to the already known set in the database.

One complication that was faced in this initial technique was that it did not account for minor errors like head rotation and tilt as it was a more geometric approach.

artificial intelligence and machine learning coursesNow the software that is being focused on has a more photogenic approach,

allowing a more efficient three-dimensional facial recognition.

Things will be made much clearer, in this respect, to aspirants by taking up an artificial intelligence and machine learning course and will help them succeed in an artificial intelligence career.

What Does India Have in Mind For The Use of Automated Facial Recognition Software?

India, in a recent bid to automate the Indian criminal system and improve national security, has decided to implement an automated facial recognition system. This is being done starting with the headquarters of the NCRB in Mahipalpur.

Facial recognition has been a branch of artificial intelligence that has been strongly debated for a long time with a large number of skeptics worrying about the various threats that it can pose to privacy. The initial concerns included that facial recognition software if implemented completely can track the location and movement of citizens, giving this information to the government, without consent. These concerns have been dealt with and hence the software is now being put out.

An automated facial recognition system would be available to all the branches including state police, central forces, and central agencies which all fall under the central government.

According to the NCRB, the presence of an automated facial recognition system would serve as storage for criminal photographs while also facilitating a more efficient method to source out crime patterns and would allow a better understanding of criminal motives.

Using just one click of an icon on a mobile phone, crime fighters will be able to detect all of the criminal histories associated with a person from the automated facial recognition system database. It also has the ability to source out and collect data from a wide set of sources like CCTV footage and sound an alert if a blacklisted criminal is located.

It also updates the database by adding in new information and new pictures that it can collect through various forms of media like newspaper clippings, raids, sketches, and if a picture has been taken by a citizen.

This system may also help collect proof for crimes and thus aid the police and court in indicting a criminal quickly.

HOW A SUPPLY CHAIN MANAGEMENT TRAINING IS PROVING HELPFUL DURING PANDEMIC

Posted on by Imarticus Learning

As the world got rocked by an unprecedented pandemic, the supply chain management course proved to be one of the best decisions for some students. With this type of training, businesses are more prepared to ramp up their production and need a healthy workforce to handle it.

In this blog post, students will learn the importance of a supply chain management career. So, let us start with the fundamentals of supply chain management.

What is supply chain management?

Supply chain management is a network of entities involved in the process that begins with raw materials and leads to production, warehousing, distribution, and marketing. The goal is for distributors to get products into the hands of consumers efficiently by reducing costs while also maintaining product quality at all times. It is where supply chain management training comes in!

Supply Chain Management Training: Why it’s important?

SCM is a thorough understanding of demand and inventory management. How stock prices fluctuate based on market movements are just reasons companies should invest in staff members who have undergone supply chain management training.

Typically, students interested in this type of career can complete a Supply chain management online course that focuses extensively on business and marketing principles. Students will learn how processes can be improved by effectively providing resources at each stage of the distribution process, including manufacturing, warehousing, transportation, marketing, and distribution. 

How A SCM Training Is Helpful During Pandemic

The importance of supply chain management gets neglected, but it is an integral part of any organization’s success. Good supply chains focus on internal processes and external factors such as suppliers, product development, finance & accounting, etc. They drive customer satisfaction by lowering risk exposure from poor quality or discrepancies with stock levels that might result from errors during production or logistics operations.

The time when products arrive at their end destination should be minimum and consistent with the manufacturing time.  The quality of products needs to match customer expectations. The supply chain must reduce risk exposure caused by external factors such as poor weather conditions. It might affect transport costs or delays due to political events or strikes.

In many cases, this is important when companies lack capacity or because it makes sense from an operational cost-savings perspective. Since purchasing power may still help drive down costs and improve the bottom line. It is also an essential aspect of supply chain management.

Why Enroll in SCM Program at Imarticus Learning

Supply Chain Management CoursesThe Professional Certification in Supply Chain Management online course and Analytics is created in partnership with DoMS and E-learning Centre, IIT Roorkee, and industry professionals.

Imarticus Learning aims to equip candidates interested in entering the operations and supply chain business with cutting-edge experience.

Supply Chain Analytics allows management to make data-driven choices at the strategic, operational, and tactical levels.

There is a scarcity of experts with process and analytical skills in the Supply Chain Management area. This credential prepares students for jobs such as Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner, which are in high demand.

Some course USPs:

  • The Supply chain management course lets the students learn job-relevant skills that prepare them for an exciting Supply chain management career.
  • Impress employers & showcase skills with a certification endorsed by India’s most prestigious academic collaborations –  IIT Roorkee and Imarticus Learning.
  • World-Class Academic Professors to learn from through live online sessions and discussions. This will help students understand the practical implementation with real industry projects and assignments.

Contact us through the Live chat support system or schedule a visit to training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, and Gurgaon.

What are the Top AI and Machine Learning Courses in India?

Posted on by Imarticus Learning

Artificial intelligence is one of the most talked-about technologies in recent years. It’s also an area expected to increase over the next decade, with AI and machine learning predicted to be worth $153 billion by 2025. This blog post covers what AIML is, the career scope, and the best courses to opt for a lined career!

Artificial Intelligence: Defined

Artificial intelligence is the general field for all types of AI and machine learning algorithms. In contrast, AI and machine learning courses refer to specific types of software or algorithm that can do certain tasks better than humans.

Artificial intelligence has many applications across different industries- from customer service chatbots on your favorite websites to autonomous vehicles driving you around town. It has been used in various industries such as healthcare, finance, engineering, IT services, and more – it’s even being implemented in education! There are also many career paths you can take within artificial intelligence.

Reasons why organizations are relying on Artificial Intelligence?

Artificial intelligence is a growing field in the industry, and it has been around for more than half a century. Still, its capabilities have improved very recently with deep learning algorithms. A lot of companies are getting attracted to AI because of its ability to make sense of all kinds of structured or unstructured data by using machine learning algorithms

  • From identifying cyber threats early on to preventing fraudulent financial transactions, Artificial Intelligence is being used everywhere with a vast amount of data.
  • Machine Learning helps organizations process large amounts of complex information- whether that’s online search queries or medical records – by teaching computers how humans think/work by providing examples instead of coding rules into them. It automates tasks based on experience and data.
  • Artificial Intelligence plays a vital role in the financial sector as it speeds up trading, helps to improve customer service, and provides more accurate predictions on which stocks will increase/decrease value, etc.
  • From improving communication with customers by providing instant responses to solving problems with the help of predictive analysis Artificial Intelligence has found its place everywhere, from manufacturing units to hospitals.

What is the scope of making a career in Artificial Intelligence?

Employers are looking for people who have gained experience in Artificial Intelligence through internships or projects they’ve been working on during their time at college because there aren’t many courses available that provide hands-on knowledge about AI right now.

If you decide to pursue a career in Artificial Intelligence, you can get started by following courses in machine learning and data science.

Alternatively, you could build up your skillset by opting to gain certifications provided by educational institutions with high-quality material and expert guidance.

Learn and Grow with Imarticus Learning:

AI and machine learning courseThe Artificial Intelligence and Machine Learning program certification has been designed to provide the best learning outcome to aspiring AI and Machine Learning learners.

This 9-months extensive program helps students prepare for Data Analyst, Data Scientist, Machine Learning Engineer & AI Engineer roles.

This Machine learning certification program bolsters foundational skills in AIML to gain a deep understanding of the subject. This course goes a long way towards helping unlock lucrative career opportunities in the coveted fields of Artificial Intelligence and Machine Learning.

Course USPs:

  • Master skills of AIML through the most relevant curriculum designed by industry leaders.
  • Get an exciting opportunity to participate in a unique 3-day Campus Immersion module & interact with peers.
  • Learn what New Age AI/ML Engineers do by solving the problems they face on the job.
  • Get the opportunity to work on multiple AI & ML projects & create your own GitHub project portfolio to impress potential future employers.

What Are the Types of Change Management

Posted on by Imarticus Learning

What is Change Management?

Change Management is a process that helps organizations/firms to cope up with advancements. With all the technological enhancements going on, they need to adapt quickly to the changes. Their employees also have to learn and adapt to new working methodologies to grow. In this article, types of organizational change management & individual change management will be discussed.

Types of Organisational Change Management

• Evolutionary Change Management – It is one of the oldest and most experienced forms of change management. It is a part of natural selection where man has evolved and so do his thinking. It may not be evident in a short period but when we compare the state of today’s industries to the state of industries fifty years back, we might witness a lot of change.

• Revolutionary Change Management – This type of change management occurs when organizations/firms are forced to change due to extreme/foreign forces. It may be from the government, protests, etc. Firms have to cope up with these types of changes otherwise it may become a matter of survival of the firm in the market.

• Directed Change Management – Directed Change Management is a younger model of change management than the aforementioned models. It is designed to achieve a specific target/vision. Organizations have to use their custom models, strategies & processes to achieve the desired goal. It is of three types which are as follows:

1. Developmental Change Management – Whenever any organization brings changes in its working culture, methodologies, standards, etc. they have to cope up with the developmental change management. Examples of developmental changes are an increase in sales/capital, a shift in communication standards, etc. The firm has to make sure that each employee learns and adapts to the new changes. If they fail to do so, it will ultimately hamper the firm.

2. Transformational change management – It is a complex and challenging type of change management faced by companies/firms. They have to work on a vision/aim in which the future is uncertain. The hit and trial method is widely used to generate more information. Examples of Transformational change are shifting of business on a digital/virtual platform, complex mergers & acquisitions, etc.

3. Transitional Change Management – Transitional change occurs when the present state is going to be changed into something completely different and better. Examples are the launch of new services/products replacing the old ones, shifting of work locations, IT shifts, etc. The firm has to ensure that each employee should let go of the old working environment both mentally and emotionally to grow and develop.

Individual Change Management

The aforementioned change management types were in respect of organizations. Personal change management is also important for a person to adapt quickly to the changes and play a part in the development of the firm. it is also categorized into four types as follows:

• Exceptional Change Management – In this type, an individual has to make sure that personal trouble in any field should not affect all other parts of life and living.

• Incremental Change Management – In this one, an individual has to cope up with monitory hikes, new responsibilities to adapt to a new role.

• Pendulum Change Management – When a complete swing of the present state to another state happens, this type of change occurs. An individual has to make sure he survives

• Paradigm Change Management – This type of change occurs when a change in beliefs, morals of an organization happens. An individual has to learn new characteristics of the firm

Change management is a very interesting field and one can find various change management courses available in the market/internet to know more. There is a lot of competition in the market for market share, the firms which understand the importance of their employees make sure they grasp new things quickly and help in the development of the firm. This article was all about various parts of change management.

10 Essential Leadership Qualities For The Age Of Artificial Intelligence

Posted on by Imarticus Learning

Artificial intelligence (AI) is slowly being a revolution that can completely change the workforce. At the same time, it is still not able to replace human intelligence and reliability.

This is the main reason why leadership qualities are highly significant under the circumstances.
When AI is starting to show its power, it takes a highly capable leader to show the team that there is still a lot the humans can do.

In order to show them the same, a ladder needs to have certain attributes at this age of AI. These are qualities that are not taught during an Artificial intelligence course but are the ones that you need to develop yourself.
The essential leadership qualities

  1. Agility: In this fast world, a leader needs to have a quicker mind and make strategies on the go. This is one area where there are no compromises. If you have to survive in this era you have to be an agile leader.
  2. Adaptability: Sharpen adaptability skills because the requirements and circumstances could change anytime, A leader must be willing to make changes swiftly but effectively to adapt to the situations. Better the adaptability, finer would be the outcome.
  3. Accountability: Be accountable for all or any actions and decisions made as a team. Since leading from the front requires trust, this attribute helps develop confidence within the team. So be accountable and transparent.
  4. Commitment: Artificial intelligence may be able to show the way but the decision-making power is still with the humans- leaders. A leader must be committed to the decisions made and for any changes thereafter.
  5. Better communication: A leader needs better communications skills, period. Developing this attribute is more important than enrolling in any Artificial intelligence course. Look for courses that help develop this personal quality.
  6. High work ethics: Learn to value others in the team and give as much importance to every part of the work system. One who can inspire others and aspire to be a better person is better valued by the companies.
  7. Foresight: AI may be able to foresee future possible changes but it is the leader who needs to have the foresight to see and decide for the possible changes that could be down the lane. It also calls for some amount of creativity to use such changes for the betterment of the company.
  8. Flexibility with demands: When Artificial intelligence is predicting changes even a small change of course can have major impacts. A true leader must be flexible with such changes according to the demands. A leader must be able to alter his or her working style to suit the new scenario and should also be able to make it productive.
  9. Be able to influence: The flexibility in work and coming up as the winner at the end of such a trial should be enough to influence others to follow. This is one leadership quality that is highly dependent on the other attributes. One must be reliable, adaptable, and trustworthy enough to influence others. When you influence others to be positive, you are giving more value to yourself and to the company.
  10. Stay Humane: AI might be taking over too much of human efforts but the one thing that it cannot take away is the humane nature. A ladder who stays humane under all circumstances is sure to be born as a commander. This is another attribute that no Artificial intelligence course could teach you. You stay grounded even when you are flying high; it’ll make you the person that defines leadership qualities in this very age of robotics and manmade intelligence.

Also Read: 10 Interesting Facts About Artificial Intelligence

Don’t Miss These Comprehensive Questions To Ace Data Science Interview!

Posted on by Imarticus Learning

109 common data science interview questions to remember

 Data science interviews are often considered to be difficult and it might be difficult for you to anticipate what questions you will be asked. The interviewer can ask technical questions or throw you off guard with questions you hadn’t prepared for.

To pursue a full-fledged Data Science Career, it is important for you to be up to date on an array of questions that might be asked during the interview, ranging from programming skills to statistical knowledge, or even field expertise and plain communication skills.

Here is a segmentation of the various categories along with the list down of the possible questions you can expect in each category as an interviewee during a data science interview.

Statistics

As an interviewee, it is essential for you to be prepared on statistical questions since statistics is considered to be the backbone of data science.

  • What are the various sampling methods that you know of?
  • Explain the importance of the Central Limit Theorem.
  • Explain the term linear regression.
  • How is the term P-value different from R-Squared value?
  • What are the various assumptions you need to come up with for linear regression?
  • Define the term- statistical interaction.
  • Explain the Binomial Probability Formula.
  • If you were to work on a non-Gaussian distribution, what is the dataset you would use?
  • How does selection bias work?

Programming

Interviewers may ask completely general questions on programming to test your overall skills or may try and test your knowledge on big data, SQL, Python or R. Listed are a couple of questions that may turn out to be relevant for you to crack that interview like a pro.

  • List the pros and cons of working with statistical software.
  • How do you create an original algorithm?
  • If you were to contribute to an open-source project, how would you do it?
  • Name your favorite programming languages and explain why do you feel comfortable working in them.
  • What is the process of cleaning a dataset?
  • What is the method you would take for sorting a large list of numbers?
  • How does MapReduce work?
  • What is Hadoop Framework?
  • If you are given a big dataset, explain how would you deal with missing values, outliners and transformations.
  • List the various data types in Python.
  • How would you use a file to store R objects?
  • If you were to conduct an analysis, would you use Hadoop or R, and why?
  • Explain the process using R to splitting a continuous variable into various groups in R.
  • What is the function of a UNION?
  • Explain the most important difference between SQL, SQL Server, and MSQL?
  • If you are programming in SQL, how would you use the group functions?

Modeling

While a Data Science Course will teach you the basics of modeling, at an interview you may be asked technical questions like building a model, your experiences, success stories and more.

  • What is a 5-dimensional data representation?
  • Describe the various techniques of data visualization.
  • Have you designed a model on your own? If yes, explain how.
  • What is a logic regression model?
  • What is the process of validating a model?
  • Explain the difference between root cause analysis and hash table collisions.
  • What is the importance of model accuracy and model performance while working on a machine learning model.
  • Define the term- exact test.
  • What would you rather have; more false negatives than false positives and vice versa?
  • Would you prefer to invest more time in designing a 100% accurate model, or design a 90% accurate model in less time?
  • Under what circumstances would a liner model fail?
  • What is a decision tree and why is it important?

Problem Solving

Most interviewers will try and test your problem-solving ability during a data science interview. You may be asked trick questions or be subjected to topics that evoke your critical thinking abilities.

Listed are some questions that will help you prepare for an upcoming interview.

  • How would you expedite the delivery of a hundred thousand emails? How would you track the response for the same?
  • How would you detect plagiarism issues?
  • If you had to identify spam social media accounts, how would you do so?
  • Can you control responses, positive or negative to a social media review?
  • Explain how would you perform the function of clustering and what are the challenges you might face while doing so.
  • What is the method to achieve cleaner databases and analyze data better?

Personalization Is The Future of L&D: Here’s How?

Posted on by Imarticus Learning

The business dynamics of today are rapidly changing. Almost all industries are undergoing a change and as a result, consumers are getting access to content and services that serve their unique needs and demands.

Long gone are the days, when companies could churn out off the shelf content and services like cookie cutters and target it towards a specific market. These days personalization is at the forefront of innovation and companies are creating services and content from the ground up, based on their learnings of user behavior.

This situation is true for L&D (Learning and Development) companies as well. They are integrating old content with new personalized pieces and engaging their users from fresh perspectives and so far, it has yielded results that are better and significantly more profitable, thus marking this innovation as the way for the future.

Advantages of Personalization in L&D

Personalizing learning and development initiatives for students has more benefits than ever before. Mentioned below are some of the most significant ones:

Personalization Favours the Development of Skills

The first and most significant benefit of personalizing L&D content is the promotion of skill development. By customizing the content to a student’s specific needs and demands, not only does the student acquire more skills, but also acquires it in a more efficient and effective manner.

Personalization allows for the creation of a learning journey that is synonymous with the student’s thought process and perspective. This serves two purposes; first, the learner is able to relate better to the content that is being taught and second, the instructor can deliver the course material better, as he understands the needs of the student.

This way, students are naturally encouraged to reach beyond their prescribed curriculums and thus acquire more skills.

Personalization Boosts Learning Engagement

Engaging learners is one of the most fundamental objectives of any learning environment and personalization helps platforms and instructors achieve this in the best possible way. Research shows that personalized content sparks intrinsic motivation in students, which further urges them to move forward with the course and ultimately encourages them to go beyond as well.

Along with this, personalization also makes the learning journey more fun and interesting, which assures that the students are engaged for longer bursts of the time, rather than short intervals. Additionally, leading online learning platform Udemy has reported higher retention among its students because of personalizing all the course material that is available on the platform.

Personalization Is the Future

In this rapid era of technological development, individuals always need to be on the lookout for what’s next in order to prepare themselves better for the future. Personalizing the learning journey of the students has been reported to make them more curious and inquisitive to learn about the next big thing. This will not only help you retain your students for a longer period of time but also encourage them to find and discover the next big thing on their own and chase it with all their might.

How to Personalize Your Content?

Now that you know the importance of personalization, one of the best ways to achieve this within your organization is by promoting coaching. Both internal and external coaching has been proved to be one of the best ways to promote personalized learning as the course material is highly curated and targeted for a specific audience.

You can either choose to work 1 on 1 with your employees or even work with them in small batches of 5 to 10. This will allow your students to interact more freely with the instructors and also give them the freedom to be more creative. Along with this, you need to make sure that your learning space is safe and judgment-free. Urge your students to take risks, fail and most importantly succeed and learn continuously.

Conclusion
Personalizing content is the future for learning and development. Thus, now is the time you start personalizing your organizations approach the development of your employees and believe us, you will see results that will make you proud.

So, go ahead discuss with your stakeholders and plant the foundation of personalization in L&D for your organization today.

For more details, you can also visit: https://www.linkedin.com/showcase/4821209/admin

Why Are Companies Considering Candidates With An Artificial Intelligence Certification?

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Artificial Intelligence has expanded at an exponential rate in recent years, despite significant progress in the field. In the field of computer science, AI practices can be found everywhere. It provides you with an idea of how many different ways a computer system can be designed.

artificial intelligence and machine learning courses in India It is designed to carry out the cognitive functions that humans have specified. This indicates that the scope of an artificial intelligence and machine learning course is enormous, and AI has potential that is currently beyond human grasp.

Scope of An Artificial Intelligence Course in India

Artificial Intelligence has enormous potential to transform every sector of the economy for the greater good.

AI encompasses a wide range of technologies, including self-improving algorithms, machine learning, big data, and pattern recognition, to name a few. There will be few industries or sectors left unaffected by this potent weapon in the not too distant future. This is why online Artificial Intelligence courses are becoming increasingly popular in India.

With each passing day, the gap between the number of AI professionals required and those available widens. Corporations are spending money to train their existing employees on Artificial Intelligence technologies. However, the demand is far higher.

Learn AI

Certification In Artificial Intelligence & Machine Learning

Learn AI via 25 in-class, real-world projects focused on offering exposure to various industries. This 9-month program will help you prepare for the roles of Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

artificial intelligence and machine learning courses by E&ICT, IIT GuwahatiThis machine learning certification program was established in collaboration with the E&ICT Academy, IIT Guwahati, and industry professionals to give an optimum learning outcome,

This course will strengthen your core abilities, allow you to take advantage of our Expert Mentorship program, and give you a practical grasp of AI and Machine Learning.

Data Science Prodegree

Develop your knowledge of Data Science ideas and build robust models to generate relevant business insights or forecasts with a working knowledge of critical Data Analytics technologies such as Python, R, SQL, and Tableau in these 14 in-class and industry-oriented projects.

PGP In Digital Marketing

Our Digital Marketing Postgraduate course is meant to provide you with a more in-depth and practical understanding of Digital Marketing ideas. The postgraduate program takes a collaborative approach that emphasizes several Capstone projects, job-specific skills, and guaranteed job interviews.

This course will prepare you from beginning to end to start or advance your career in the Digital Marketing segment, including resume building, mock interviews, job leads, and references, making it an ideal Digital Marketing course with a strong focus on placements to help you land your dream job.

Post Graduate Program in Data Analytics & Machine Learning

This machine learning certification program is for recent graduates and early career professionals interested in pursuing a career in Data Science and Analytics, the most in-demand job skill.

To become job-ready, master the fundamentals of data analytics and machine learning, as well as the most in-demand data science tools and methodologies.

With this placement-guaranteed program, you’ll learn Python, SQL, Data Analytics, Machine Learning, and Data Visualization. After completing the course, students are promised interview opportunities.

artificial intelligence and machine learning coursesTakeaway

AI is one of the most popular technologies on the planet because of its diversity and superior solutions. It has been rapidly expanding. As you can see, the scope of AI has broadened to include a wide range of industries, including healthcare, transportation, security, etc. Multiple industries require the expertise of experienced AI specialists as a result of this increase.

Check out Imarticus IT classes, targeted at working professionals, if you want to learn more about AI and machine learning algorithms.

The Impact of Data Science on Current Events and the World

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The Impact of Data Science on Current Events and the World

Data science remains one of the most lucrative and challenging career pathways for experts. Successful data professionals now grasp the traditional skills of analyzing massive quantities of data, data mining, and programming.

best data science courses in IndiaData scientists must control the complete spectrum of the data science life cycle and must be flexible and understandable so as to optimize returns at each stage of the process to detect meaningful intelligence for their organizations.

You can also contribute to this surge by doing proper data science online training.

Skills that data scientists must have:

According to a study by IBM, a data scientist must be able to perform the following tasks:

  • Use math, statistics, and a scientific approach
  • Use a variety of tools and strategies for data assessment and preparation – for example, SQL, data mining, and data integration methods
  • Data extraction through predictive analysis and artificial intelligence (AI), including in-depth learning and models
  • Write apps for data processing and calculating automation
  • Tell — and illustrate — stories that show the importance of findings at every level of technical knowledge and comprehension to decision-makers and stakeholders
  • Explain the use of these results for business challenges

The number of job opportunities in the industry is increasing by more than 5% a year, according to an IBM study.

What is the role of data science in the current scenario?

  • Inadequacies can cost companies up to 30% of their income. The data science course allows you to follow a number of business indicators, including manufacturing times, delivery expenses, productivity for employees, and more, and suggest improvements.

It is feasible to reduce total expenses and increase return on investment by limiting waste of resources.

  • Data science enables companies to consistently refine their products and services to suit a changing market by assuring a ready-flow of practical insight into customer psychology, behavior, and satisfaction.

Data on clients can be accessed from a range of sources, and information mining from third-party platforms such as social media, search engines, and data sets.

  • One of the most intriguing aspects of data science is testing. New, inventive options are compared with current features and often produce surprising outcomes.

Companies can create incremental revenue gains through consistent, long-term testing. Data scientists are in charge of conducting thorough tests to ensure the effectiveness of marketing campaigns, product launches, job satisfaction, website optimization, et al.

  • Data science is used in the current scenario to improve a company’s safeguarding of sensitive information. Banks, for example, deploy sophisticated machine-learning algorithms for detecting fraud based on variations from a user’s normal financial activities. Because of the vast volume of data created every day, these algorithms can detect fraud faster and more accurately than humans.

Algorithms can be utilized to protect sensitive information via encryption.  By ensuring data privacy you can help guarantee that your organization does not misuse or reveal sensitive information about its consumers, such as credit card numbers, medical information, or Social Security numbers.

  • Data collection and analysis on a bigger scale can help you spot developing trends in your market. Purchase information, stars and influencers, and search engine searches can all be utilized to discover the things people want.

Conclusion

It can be concluded that a career as a data scientist is an extremely lucrative option in the current world as data science is gradually taking over the entire world. The data science pro degree can help you understand the intricacies of this field and learn data science effectively.

If you are a recent graduate and want to learn data science, a post-graduate program in data analytics and machine learning can help you learn better from live faculty and bag guaranteed jobs in the future. Proper data science online training can help the audience come here.