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Tag: Analytics

Why the IIT supply chain management program the best of 2021?

Posted on by Imarticus Learning

The supply chain encompasses all of the actions, people, organizations, information, and resources required to transport a product from conception to client. In the consumer goods industry, this is likely to include raw materials, production, packaging, shipping, warehousing, delivery, and retailing. The end goal is straightforward: fulfill the customer’s desire.

Further, supply chain management is the process of combining supply and managing demand not only within the firm but also across all of the supply chain’s innumerable units and channels so that they function together quickly and productively.

 Supply chain management is critical for any firm since it can introduce various benefits. But, inadequate supply chain management can result in very expensive delays, quality concerns, or reputation issues. Poor supply chain management can also lead to legal concerns in some circumstances if vendors or processes are not compliant. Technology advancements have opened enormous possibilities for supply chain management, allowing supply chain managers to collaborate intimately and in real-time with supply chain participants.

 A certified supply chain analyst has a very important role in every industry that involves the supply chain. A supply chain management career can guarantee you a high-salary job in various sectors. The IIT Supply Chain Program is the best and comes with some exclusive benefits.  

supply chain management and analytics coursesThis 6-month supply chain management online course has been specially prepared by IIT faculty and industry professionals to assist you in learning. With the ever-increasing trend of e-commerce, the number of products in transit has also increased. The number of supply chain management employees has increased disproportionately across industries. This training will prepare you to capitalize on this opportunity.

 Why Pursue IIT Supply Chain Management Course?

The benefits of IIT certified supply chain analyst course are as follows:

  1. Discover supply chain management knowledge and much-required analytical skills with this program built by IIT Roorkee’s DoMS & E-Learning Centre. This course will assist you to become more data-centric and improve supply chain selection by using the strength of Python.

    SCM courses
  2. This supply chain management online course will assist you to learn from one of India’s greatest faculties via live online sessions and conversations. IIT faculty workshops will help you construct essential concepts in SCM, while industry specialists will provide hands-on learning for SCM processes, tools, and strategies. This course will teach you how to construct a solid SCM foundation and use analytics through engaging live sessions with renowned trainers and industry professionals.
  3. Participate in a three-day campus immersion session to tour the IIT Roorkee campus. During the campus immersion, you will connect with your peers and learn from IIT academics. You will get the opportunity to go to the Delhi or Noida campus and work on the Capstone Project with the help of expert mentors.
  4. Tackle tough real-world challenges that necessitate a full understanding of principles, mastery of skills, and comprehension of the business context. With these real-world SCM projects, you can boost your resume and stand out. You will be able to create your own project portfolio and dazzle potential employers. Through rigorous in-class exercises and SCM projects, industry experts teach you crucial job-relevant skills.
  5. Massive volumes of data are generated by supply chains – Big Data, to be more explicit. Prepare to participate in the creation of smarter, more strategic, and tactical global supply chains of the future by merging traditional supply chain methodologies with data-driven judgment.It is very evident that the demand for a certified supply chain analyst is increasing by the day. In such a situation, certification can give your career the right boost and help you bag your dream job in your desired company. Enrolling in this course can be a game-changer for you!

supply chain management and analytics courses

Hands-on Linear Regression Using Sklearn!

Posted on by Imarticus Learning

Linear regression in Machine Learning is a kind of analysis where there are both dependent and independent variables. Their relationship is depicted here by a linear line from the provided data. This technique is mainly used for predicting the results.

The data and the values from the linear regression are used to find the Mean Squared Error (MSE) to change the values of the variables so that they have the least value possible and get the most accurate results.

While there are several tools that are usually used for linear regression Sklearn is one of the popular tools.

What is Sklearn?

Sklearn is the short form for Scikit Learn which in Python Language, an open-source ML library to help unify the various tools of algorithms in machine learning.

Linear Regression trainingSklearn precisely works as a one-stop solution that helps with importing, preprocessing, plotting, and predicting data.

Its versatility, powerful nature, ample documentation, and active nature make it one of the popular toolkits in ML.

Linear Regression in machine learning

Linear regression comes at the last stage of the ML processing. Though there are several tools for the same, Sklearn is used more because of its versatility. When there is a log of consistent data it is easier to predict future patterns. The various steps towards the implementation of linear regression are,

  • Loading the data or object from its source
  • Training the model results in dividing the data into dependent and independent variables.
  • Later it is split the data into train and test sets.
  • It is the test set that will be used for the predictions.
  • Explore the results to find the suitability of the data for linear regression. A low accuracy data shows the non-compatibility of data to this.
  • Narrow down the data to a smaller portion and repeat the same steps above.
  • Now the data should be able to show the MSE which can be used for better predictions.

Importance of Linear regression 

Linear regression is important as it determines the accuracy of the prediction from the data given and also finds out the predictors that are significant for better results.

Linear Regression Training in Machine Learning

It is useful in determining the power between the dependent and independent variables such as sales and expenditure, or in the case of health care dose and its effects on the body, etc.

Analyzing the regression model explains how much the variables do change with respect to each other. Forecasting weather or its impact and changes is a fine example of this application. In the case of sales and marketing, it explains how much increase is possible in income with a specific amount of expenditure.

Finally, it is one of the main tools for predicting future trends and possibilities. It can be used for a future prediction of any time span. Linear regression using Sklearn provides a near-accurate prediction of the values.

In addition, there are different types of linear regression – simple or multiple linear regression. Each type is suitable for a different purpose or type of data available.

Conclusion

Its possibility is too vast that it requires proper Linear Regression Training to use the best data for getting the most accurate output. Once learned it is easier to predict data and values in the fields of sales, marketing, financial assessments, insights into consumer behavior, risks in finance or loans, etc.

As already mentioned, the accuracy of the prediction highly depends on how compatible the data is for the linear regression model. The Sklearn method is a far better option to determine the same and can provide the closest values to help with a better prediction model for the business.

Data Analytics in Healthcare: Can a Techie Succeed in The World of Medicine?

Posted on by Imarticus Learning

In the modern-day, Information Technology has seeped into all sectors. Industries have adopted Data Science and Analytics to drive their work and have reaped the rewards for it. In the paradigm where Data Analysts are highly sought after in all sectors, how do they fare in the field of Healthcare?

 

Big Data Analytics courses are the perfect way for techies to break into the medical sector. It has become a tool with unlimited potential, and a Data Analytics career in healthcare is a very real and prospective opportunity.

Data Analytics is generally used to draw meaningful interpretations, find trends and predict possible outcomes from Data.

Healthcare Analytics specifically aids in avoiding preventable diseases, conducting an accurate diagnosis, predicting and combating epidemics and coming up with effective treatment strategies for diseases.

A Healthcare Analyst contributes to improving the quality of healthcare and reducing the treatment costs by automating tedious processes.

Applications of Data Analytics in Healthcare

There are many applications of Data Analytics in healthcare, and a career in the field works to implement these uses. Some of the most popular applications are:

Patients’ prediction: Healthcare Analytics can be leveraged to improve patient predictions. The past admission records can be used to discover hospitalization trends, peak times and deploy personnel accordingly.

Strategic Planning: The existing data can be used to identify patterns, conduct studies and map out strategies for extensive care and in community medicine.

Electronic Health Records:

It is one of the most popular uses of Data Analytics in Healthcare. It is used to track patient medications, treatments, progress, and medical history. Data Analytics on these can reveal more details about their medical conditions and lead to more accurate prognoses.

Predictive Analytics: Predictive Analytics is the practice of recognizing patterns and predicting probable outcomes by studying the data presently available. This can be used to improve care delivery for patients with complex medical history by using history to try and predetermine the conditions they may face in the future.

Data Analytics Careers in Healthcare

The applications of Big Data analytics in medicine are vast, and more are being uncovered every day. In this scenario, techies are being welcomed into the sector with open arms. Healthcare employs techies as Data Analysts, Informatics Consultants, Clinical Data Managers in the Quality and Performance improvement sector.

One can also get promoted to leadership positions for other Analysts as Informatics Director or Chief Medical Information Officers. All these positions come with their responsibilities as well as perks. The roles and responsibilities would also entail assistance in the proper integration of data analytics within specific healthcare areas.

Conclusion

A career as a healthcare analyst is a door that opens infinite possibilities. Not only do you get to save lives as a part of the field, but you also get to innovate and change medicine in your way.

Take Advantage of This Once-In-A-Lifetime Opportunity To Express Your Ideas And Win Fantastic Prizes.

Posted on by Imarticus Learning

Are you a Data science blogger? Imarticus Data Science is proud to announce our Data Science Blogging contest. This contest will reward the best Data Science blog posts of 2021 with fantastic prizes with up to 10,000 gifts vouchers.  

Do you feel like you have many insightful thoughts to share as a blog on Data Science & Analytics? If you enjoy writing about data science, there is a once-in-a-lifetime opportunity to put your ideas in front of countrywide audiences. And the best blog post author stands to win a prize for their work!

data science and analytics blogging contestShare your blog on any of the following topics: 

  • Data science
  • Data Analytics
  • Machine Learning
  • Data Engineering
  • Deep Learning
  • Computer Vision
  • Python Programming and many more related to Data Analytics topics. 

 The Criteria to Participate in Data science Blogging contest

  • All blogs should be 500 to 1000 words in length.
  • The content must be original, well-researched, plagiarism-free, and informative.
  • Do not entertain duplicate posts.
  • The deadline is August 31st, 2021, at 11:59 pm IST.
  • The number of article contributors is restricted to three members.
  • blog.imarticus.org will host all the articles with credit given to the contributor(s). Blog entries are considered Imarticus Learning intellectual property from this point onward.

 How to enter in the Data science Blogging contest and the process

  1. Write a blog on a topic of your choice pertaining the data science and analytics. After completion, share your blog at blog@imarticus.com on or before August 31st, 2021, 11:59 pm, Indian Standard Time (IST).
  2. The originality, creativity, and level of depth in all blog articles.
  3. The content should meet the minimum criteria explained above and be submitted before the given deadline.
  4. Will upload all the eligible blogs on or before September 11th, 2021.
  5. The writers will receive the respective blog links by September 11th, 2021. The individual should share the blog link on their social channels with mandatory hashtag rules.
  6. Imarticus team will evaluate the engagement on the individual blog posts until September 30th, 2021. The Imarticus panel team will shortlist the best 25 blogs and promotes them on their social channels until October 30th, 2021.
  7. The blog that receives the most engagement by October 30th, 2021, is shortlisted as the winner. Imarticus Editorial Panel’s decision is final and binding in case of any dispute.data science and analytics blogging contest

 Why should you participate in the Imarticus Blogger of Year Contest?

  1. Imarticus Social recognizes your skill and is eager to help promote your blog.
  2. Exiting winning amount to motivate and encourage your effort.
  3. The winner details will get necessary coverage within the media promoted and supported by Imarticus Learning.
  4. We will promote the interview of the top 25 selected bloggers on different social channels of Imarticus Learning. 

Apart from the 10,000 gift voucher to the winner, Imarticus Learning will give prizes to the other participants. The details are as follows:

  • Winner: 10,000
  • Runner Up: 7,500
  • 3rd Place: 5,000
  • 4th to 10th Position: 2,000
  • 11th to 20th Position: Imarticus Hall of Fame Entrydata science and analytics blogging contest

T&C Apply.
Imarticus Learning shall own the Intellectual Rights of the blog content shared with us at blog@imarticus.com with due credits to the writer(s) till perpetuity. Imarticus Learning reserves all the rights to use, publish or remove the content on all our platforms.

The decision of the Imarticus Editorial Panel shall be final and binding in all matters. Any dispute will fall under the jurisdiction of Mumbai. The winners will receive Gift Vouchers.
To know more – Click here 

Conclusion: 

If you are interested in data science and want to share your ideas with the world, then this is a once-in-a-lifetime opportunity. Entering our #ImarticusBlogLikeAPro Season 1 Championship Award along with a cash prize of INR 10,000/ will not only is fun, but it could also win you fantastic prizes! Professional tone required for submission.

Customer Data Mapping, Engagement and Developing Trust with Data Analytics!

Posted on by Imarticus Learning

Data analytics is the new talk of the town. You might be planning to learn something online and wondering if you should do a data analytics course or a certification in data analytics, then this article will tell you the reasons to learn data analytics online and how in every business sector data analytics is getting more relevant every day.

To ensure the success of any business, developing trust and ensuring customer satisfaction has always been a key recipe. The introduction of analytics in customer data mapping has completely transformed the way businesses engage with their customers and win their trust.

With proper customer data utilization using analytics, businesses are able to engage customers in a more personalized way. Many organizations are reaping the benefit of using analytics to improve customer engagement.  Analytics allow using intelligence in the customer data to provide tailor-made offerings. Several factors like using various data sources, well-developed core analytics capabilities and integration of AI and IoT into processes make this possible.

Key trends in customer engagement using analytics:

Growth is likely to continue:

More companies have started using analytics for better customer satisfaction, and this percentage is growing each year.

Analytics going to be the main driving force:

This has been observed that organizations that are more experienced in using analytics than their competitors are able to gain more trust and provide more customer satisfaction.

Analytically experienced are using more data:

data analytics courses in IndiaAnalytically experienced organizations tend to use more data from all possible sources when compared to lesser experienced organizations.

Data sources, like customer, vendor, regulator, and competitor data, and data types, like mobile, social, and public data, all are getting used and playing a major role.

Key points for better customer mapping

Data source and data types:

Large in volume and variation ensures quality data. When different types of data like mobile, social, and public data are collected from various sources like customers, vendors, regulators, and competitors, analytics can lead you to a more accurate forecast.

Integrated system:

By using the data-based dashboard while fixing your customer strategy, the scope of guesswork comes down to null. Data analytics systems integrate into existing infrastructure with minimal effort and without a need for overall change. Integrating new data and analytics into the existing model improves your customer service.

Innovation to turn customer mapping into customer satisfaction

Data mapping using analytics takes traditional data mapping to a whole new level. This works as the best foundation for decision-making. These strategic changes could include social media strategy, website upgrades, and many other things.

Building profiles using Analytics

Analytics helps to identify each client independently, based on their intercommunications throughout their journey with the business. Businesses can then trace and gather precious data for future use. Analytics can build individual customer profiles using this data based on real-time action, habits, and inclinations.

Importance of Qualitative data

Few analytical tools support solutions that take qualitative data into account. Knowing how happy customers are, key phrases they use, or survey feedback are all forms of qualitative data. Quantitative data analytics and qualitative customer experiences must be equally prioritized to ensure a better result.

Prioritization of personalization

Incorporating customer journey analytics into strategy is important. Using analytics, the appeased customer is going to receive can be personalized and segmented. When customers receive more personalized and relevant content, they are likely to be more interested.

Conclusion

If you want to learn data analytics online, then Imarticus offers you a data analytics course and certification in a data analytics program that you might be interested in.

best data analytics courses in IndiaMapping customer data, understanding the buyer’s persona (a fictional identity of a buyer based on customer data), and going the extra mile to meet the customer’s demands can really help businesses, and data analytics is the way to go.

Post Graduate Program In Data Analytics Curriculum Designed To Deliver The Best Learning Outcome For Working Professionals

Posted on by Imarticus Learning

Recent times have seen unprecedented growth and popularity of Big Data, making it an indispensable domain of almost every industry. With an overwhelming amount of data available around us, businesses are focusing on using this valuable resource most efficiently.

That being said, a concomitant rise in demand for skilled data analysts has led to the inevitable mushrooming of data science courses in India.

If you are looking for a comprehensive data analytics course or data science course in India, Imarticus can help you take the first step towards your goal. With its extensive, industry-approved, and experiential Post Graduate Program In Data Analytics and Machine Learning, future Data Scientists are sure to gain immense professional benefits.

About the Data Analytics and Machine Learning Course

According to Statista, the global Big Data market is predicted to grow to US$ 103 billion by 2027, a figure more than twice its expected market size in 2018.

The need of the hour for budding and working data science professionals is a robust data science course with placement assurance. That’s where Imarticus comes to the rescue. The PG program in data analytics and machine learning is designed to help future data scientists learn the foundations and real-world applications of the discipline.

Suitable for fresh graduates and working professionals, the data analytics course seeks to nurture the most in-demand employment skills in data science and analytics with assured interview opportunities and guaranteed job interviews.

What’s Unique About the Program?

Data Analytics and Machine Learning Courses in IndiaHere’s what makes the Imarticus PG Program In Data Analytics and Machine Learning stand out from any other data science course in India:

Guaranteed Interview Opportunities

With over 400 placement partners, Imarticus assures guaranteed interview opportunities for candidates who complete the course successfully.

Learn Job Relevant Skills From Industry Experts

Learners are empowered with critical job-relevant skills through multiple in-class industry-oriented projects, case studies, capstone projects, hackathons, training sessions, discussions, and much more.

Extensive Career Support

Imarticus offers an extensive preparation guide to learners through different career services such as preparation workshops, capstone projects, career mentoring, mock interviews, and a lot more.

Flexible Learning Batches

Weekdays are for the fresh graduate program (6 months, full-time), and the program for working professionals (9 months, part-time) is delivered on weekends.

Curriculum Highpoints

  • The curriculum for early-career professionals or fresh graduates includes:

SQL Programming, Python Programming, Statistics, Machine Learning with Python, R   and Data Science, Big Data and Hadoop, Big Data Analytics with Spark, Data Visualization with Tableau, Data Visualization with Power BI, Placement Preparation, and Capstone Project.

  • Professionals with 0-5 years of experience have advanced curricular elements as follows:

SQL Programming, Python Programming, Statistics, Machine Learning with Python, Neural Network and Deep Learning, Machine Learning on Cloud, AI (NLP and Computer Vision), Data Visualization with Tableau, Placement Preparation, and Capstone Project.

Conclusion

The Big Data revolution has taken the business and IT world by storm and is here to stay. Enroll with Imarticus Learning to make your career in data science and machine learning future-proof by learning from the best in the industry.

Data Analytics and Machine Learning Course in IndiaWith a sea of data science courses available out there, make sure that you choose a data science course with job assurance

How Imarticus Helps The Young Adults Towards ‘on the job’ Learning With Their Future Education Plans?

Posted on by Imarticus Learning

Imarticus Learning is a privately held education company located all over India, holding expertise in technical learning. This education company offers classes on various domains through both physical classrooms and virtual online mediums.

In today’s technology-driven world, holding onto a job with hectic timings and updating yourself through education to achieve career growth has become a necessity.

What Imarticus has to offer:

Imarticus offers ‘On the job’ learning with various benefits. For professionals with full-time jobs, this education company provides well-organized sessions through E-learning. The education programs aim to train learners to gain in-demand skills, extract insights, and improve decision making.

The courses are tailored by experts to give hands-on knowledge and experience via industry-specific projects and a cutting-edge curriculum developed following current trends that meet the organization’s and employee’s needs.

With over 3000 hours of developed E-learning classes, they offer a variety of E-learning solutions to educate anyone on a variety of expert fields. They have a capable team equipped with the experience to provide solutions through E-learning classes.

Program features:

The course consists of skill retraining and upskilling, keeping in mind the current requirements of the industry. It comes with a legion of program features like mentorship, integrated LMS (learning management system) which promotes self-paced learning, delivery of learning hours with a team of E-learning professionals, high learning engagement, and post-training evaluation.

These programs help in developing critical thinking, retraining, knowledge enhancement, and strategic development.

Data Science CourseThey also conduct skill assessments and competency mapping so as to create a comprehensive learning framework to prepare the new employees and also the existing employees with relevant future skills, dedicated delivery analysts, and account managers to ensure seamless delivery of training.

Other benefits:

‘On the job’ learning through specialized Imarticus E-learning also promotes various other benefits to the learners.

  • Flexibility:

It is far easier for the students to hold on to online learning than traditional classroom learning, especially for professionals with hectic schedules. A stable internet connection and a computer are the only requirements to turn any place into a classroom.

  • Accessibility:

These E-learning courses are accessible from all around the country, so even if you are out of the city for work purposes, you will still have continuous access to classes, which would not be possible otherwise.

  • Range of specializations:

For the job holders who are looking to improve their skill set through online learning, thousands of hours of useful content that can strengthen their knowledge and skill base is always available. They can choose the best suited to their domains.

  • Cost-effectiveness:

The options of E-learning are much more economical than classroom training methods. In today’s economy, where job losses and pay cuts are normal, the students can still be assured that their education will not be affected and, in turn, their careers.

Conclusion:

The global demand for online training programs has increased a lot in recent times. The field of online education has been observing fast growth because of the need to upskill or retrain skills. It’s a boon for anyone looking to progress in their career.

10 Most Popular Analytics Tools In Business

Posted on by Imarticus Learning

The increasing importance and demand for data analytics have opened up new potential in the market. Each year, new tools and programming languages are being launched aimed at easing up the process of analyzing and visualizing the data.

While many such advanced business intelligence tools come up in paid versions, there are great free and open-source data analytics courses and tools available in the market too. Read on to find out about the 10 best and most popular data analytics tool for business right now.

1. R Programming
R is the most popular programming language cum tool widely used by experts for the purpose of data analytics and visualization. The tool is free and open-source in nature and allows the users to alter its code set for clearing bugs and updating the software on their own.
2. PYTHON
Python is an open-source and free OOP based scripting language popular in the data analytics market since the start of the 90s. Python supports both structured and functional programming methods and is very easy to learn and operate upon. Python is expert in handling text-based data.
3. Tableau Public
Tableau Public is another free software and business intelligence tool which is capable of connecting all kinds of data source be it Excel-based data, Data Warehouse or web-based data. Tableau creates maps, graphs and dashboards with real-time updates presenting on the web. The data can be shared over social networks too.
4. SAS
Sas is a leading analytics tool and programming language specifically developed for the purpose of interacting with and manipulating data by the SAS institute in 1966 with updates presented during the 80s and 90s. Data present in SAS can be accessed, analyzed and managed easily from any sources and is capable of predicting behaviors of customers and prospects along with recommending optimized communication models.
5. Excel
One of the most popular and underrated data analytics and visualization tool in the market, Excel was developed by Microsoft as part of their MS Office and is one of the most widely used tools in the industry. All kinds of data analytics tools still require Excel to work in some kind of way and it is very easy to be learnt and operated.
6. KNIME
KNIME is a leading open source and integrated analytics tool developed by a team of software engineers from the University of Konstanz in January 2004. KNIME allows the users to analyze and model the data through visual programming integrating components of data mining and machine learning via its modular data pipelining concept.
7. Apache Spark
Developed in 2006 by the Berkeley’s AMP Lab of University of California, Apache is a fast large-scale data processing, analysis, and visualization tool capable of executing applications around 100 times faster in memory and 10 times faster on disk. It is popular for data pipelining and machine learning models development allowing it to double up as business intelligence tool.
8. RapidMiner
RapidMiner is another powerful data analytics tool which can double up as business intelligence tool owing to its capability to perform predictive analysis, behavioral analysis, data mining, etc. The tool can incorporate with any other data source types such as Excel, Microsoft SQL, ACCESS, Oracle, Ingres, IBM SPSS, Dbase, etc.
9. Google Analytics
A freemium and widely recommended product for data analytics, Google Analytics is a perfect offering from Google for the Small and Medium-scale enterprises who don’t possess the technical knowledge or the means to gather that knowledge in the present course.
10. Splunk
Splunk is an analytics tool mostly directed to searching and analyzing machine-generated data. The tool pulls up all text-based log data and provides the means to search through it for gathering any relevant or required data.

What Are The Benefits Of Bringing Big Data Analytics Education?

Posted on by Imarticus Learning

Education, human behavior and interpersonal interactions have always held our interest as topics for research and discussion. Such data analysis can draw out many insights that can be beneficially used to improve the ways we work. learn and analyze issues around us. Did you know that the big data industry is projected to touch a total value of 28 million USD very soon? No wonder the educational field is looking to exploit the many benefits of a big data course in the educational field and analyzing the results to tweak the outcomes.

The very first step in this process is to set up the functional database and its analysis process. In the field of education, this would imply building a community website. Why? Data analyzed so far shows that if students needed information 93 percent of the time they looked online for it.

The popularity of libraries of information available by doing a simple Google search or Googling as students call it is the most popular method for not just students but parents looking for educational institutions for their wards as well! It is a given that online presence helps prospective students and their parents find you.

But, can we also use the digital platform to educate students?  Here are at least three ways to benefit from big data analytics and exploiting a big data course of benefits for your educational institution.

1. Assessing student performance:

Improving student performance and assessing their performances can be efficiently leveraged by big data and its analytics. Individualized learning modules can help find knowledge gaps and personalize the learning materials to fill in the gaps. By so adjusting the learning rate no student in a class is way ahead or too far back on the learning curve. Since learning styles, rates and methods may vary over each student, adaptive learning scores by understanding and identifying the gap in learning and taking corrective action before it is too late.

A differentiated style of learning deals with the most effective style to help the student learn. Adaptive learning curates the learning exercises matching them to the student’s needs and knowledge gaps. Competency-based AI and Big Data Analytics Course-based tests aid the students to gauge their learning levels and progress from thereon.

Using all these three types of learning AI can test how well the students can adapt their learning to applications of it and thus promote the progress of students based on individual interests. Traditional methods like exams, project work and assignments and exams can be used as data trails to help monitor learning activities and performances. The behavioral analysis attained can help provide personalized feedback to each student.

2. Personalizing educational programs:

Big data can help in customizing and personalizing learning materials and individualized programs for students using both on and offline resources. Blended experiences improve performances, generate more learning interest and help improve the performances of students. Students can learn at their own pace and style and even discover areas where they excel at applying their learning to applications. The classroom can effectively be turned into a nursery for budding professionals, entrepreneurs, gamers and businessmen who are well-initiated in exploiting benefits offered by skilling themselves in a big data course.

3. Learn from the results and improve the dropout rates:

Big data analytics can help us learn and predict the lacunae in learning and thus prevent dropouts. Corrective measures can easily be applied if unusual behavioral patterns are caught early. Personalization of these measures through suggestions from big data analytics can help target the source of the problem and resolve the issue or gaps in learning. Big data analytics’ behavioral analysis can also help in career counseling, providing information on various programs and courses at various institutions so students can choose their careers wisely.

Parting notes:
The class sizes keep increasing with compulsory education and teachers are often facing many challenges in giving attention and help to the large numbers of students. A big challenge like this has been simplified by incorporating computer programs that allow each student to follow his own pace and learning curve. The technological advancements in the last decade and especially in education has seen many applications that are data-driven and can be processed for use as learning materials to base your future decisions on.

Rather than concentrate on just building a good educational website from scratch one can use simple website solutions from online builders. The time saved is best used on implementing processes for reporting and better analysis. Do you want to learn how to use Big Data analytics in education? Reach out and do a big data course at the Imarticus Learning Institute to emerge career-ready.

How Do Imarticus Online Internships Help in Students’ Learning And Placement?

Posted on by Imarticus Learning

The online-driven workplace that businesses currently employ ensures the availability of countless career opportunities. And, the ones with technical skillset requirements are getting quite some traction.

Notably, the demand for such career options seems to be growing even in the near future. Considering this, there also comes a demand for skilled students ready to take the industry by storm.

While there are multiple ways to gain the required skill set for a job opportunity, the best of them are acquiring certifications and taking online classes or courses.

Besides, it is always better to have hands-on experience in your domain before entering a permanent job. And, internships are the best way to gain the required skills and desired attitude to excel in a job.

Online MBA Education CoursesWhy go for internships?

Nowadays, employers expect a candidate to be the best in skillsets when they just enter the organization. So, they have to invest less time training them. In order to gain a moderate to the professional level of skill set before even entering a job, internships are the best way. This is the reason internships are always recommended.

Now, let us take a look at how you will be benefited from an internship.

Real-life, industry-based projects: Though study programs, including offline and online learning modes, tell what your job will actually require you to do, in real life, organizational projects are way more difficult and challenging. So, once you get into an internship, you will be given a real-life experience of such projects. It would be really difficult to perform tasks initially. But, with the help of your team members, you will be able to complete your tasks and overcome challenges, thereby improving your skills and enhancing your knowledge in the process.

fintech CareerProper personal exposure: During an internship, you are exposed to much more than just technical issues. That is, you will get a guided exposure to company conferences, meetings, discussions, etc. This way, you will be meeting people from several departments. All the above will help you gain an understanding of how an organization runs and how various people and departments interact with each other. This will give you a good experience in business understanding and interpersonal skills.

A chance to develop your skills: You will be put through various projects where you will be facing different types of challenges in almost every step. To get the work done the right way, you will need to communicate with your team members and heads. This will help you acquire information on the process. Also, this will help you improve your communication skills. Further, internships offer opportunities to improve your skills related to organizational operations and project management.

By the end of an internship, you would have gained proper knowledge about organizational working, project plans, and essential technical and communication skills required for project progress and completion. With practical exposure, internships in association with theoretical knowledge of the domain offer the much-needed push to be the desirable candidate during placement drives or walk-in interviews.