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Tag: data analytics online training

Keen To Develop A Solution That Will Predict User’s Online Training? Imarticus Could Help You Develop The Right Expertise

Posted on by Imarticus Learning

Online user behavior is something e-commerce and target marketing has been relying on. What helps them predict online user behavior is machine learning and Artificial Intelligence.

The user interest and the pertaining trend help the business and marketing team to anticipate the changes and take the necessary steps for improvement. This change is a trendsetter that has urged many other fields to use the same mechanisms to study its users.

data analytics and artificial intelligence courses in IndiaEver since the online training process gained popularity finding out what the users’ needs became crucial to set up the right kind of courses and setting up the ideal curriculum to nourish their careers.

Predicting user’s online training

Getting the correct feedback on the online learning process is significant to know about what the users are interested in. It helps refine the curriculum and also helps introduce more useful courses to increase the chances of a better career.

Predicting a user’s online training interest requires some specific expertise but it doesn’t involve a single field of study. It requires a collection of subjects that are part of data science. In order to be an expert in predicting user interests, these are the fields of technology that one must master.

  • Artificial Intelligence: User prediction using AI is done through developing models and algorithms that provide a predictive outcome. It is also one of the primary objectives of this technology.
  • Machine Learning: ML is the branch of AI that helps with the computational part or where the machines are made intelligent to work like human brains. BY processing the machines one can help find the relevant data to create a reliable predictive analysis to find out the user interest.
  • Deep Learning is that part of AI that functions as human brains where it recognizes speech, language, objects, etc and that also helps in decision making. Using these factors creates a prediction model that has near-accurate validity. In fact, it is one of the most popular careers at the moment.
  • Natural Language Processor NLP is using technology to understand the common and natural language used by humans. It involves compiling data and processing it appropriately through mathematical, linguistic, or statistical methods. It is just a collective term for multiple steps. Moreover, it uses most of the above mentioned technologies as well.
  • Computer Vision is another branch that works on perspective analysis using videos and images. They help with replicating the visual system in humans and automate the tasks accordingly.

How Imarticus helps?

Imarticus offers various courses in Artificial Intelligence that includes Deep Learning, Machine Learning, Natural Language Process, Computer Vision, etc in the curriculum. It makes a foundation for predictive analytics. The course duration ranges from 2-8 months depending upon the user’s choice. Both online and classroom options are available for most courses.

Analytics and Artificial Intelligence coursesAnalytics and Artificial Intelligence Courses in India are open to both freshers and working professionals. They can select the relevant option when opting for the course. The courses are termed PG-courses and Pro-Degree courses respectively.

Keeping in mind the time constraints for the professionals, the pro degree courses may be completed in a shorter span of time.

Not only do they provide quality courses but also provide opportunities to work with giants such as IBM and others. Both types of courses have this partnership option for hands-on experience.

Analytics and Artificial Intelligence courses in IndiaSuch hands-on courses enable the users to polish their knowledge and make them borderline experts in their respective fields, even for an entry-level.

Conclusion

The learning process at Imarticus includes a program mentor who gives proper guidance and support for the academics. Moreover, the placement assistance at the end of the course increases the prospects of landing the right job.

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

Imarticus Learning Launches Weekend Batches of Post-Graduate Program in Data Analytics for Working Professionals

Posted on by Imarticus Learning

There have been a lot of ups and downs in the corporate world throughout recent years.

However, the position of data analyst or data scientist has stayed secure throughout these tumultuous times. This is one of the major reasons why there have been lots of students opting for a data science course in India. It can help you to work with a lot of renowned brands, or even help you to build your startup from scratch by letting you assess the risk-taking capacity of your company.

This is one course that can help you to pursue your dream career, and Imarticus learning is here to save your day with a data analytics course with placement offers as their new PG program for working professionals with weekend batches.

 What is a Data Analytics course?

Data Analysis comprises different technicalities and tools to extract and analyze data in a way that helps you to determine how a company works and how you can make it work better towards its goal in the future. A proper data analytics course would give you the knowledge of descriptive and advanced analysis by means of machine learning in a way that would enable you to process data through natural language processing, neural networks, sentiment analysis, and other advanced tools.

This way you will be able to find anomalies and changes in the market trends, answer questions and make predictions that would help the company to determine the profits and losses from an investment and interpret what kinds of investments they should make in the future.

 Benefits of Data Science courses in your career

 Whatever turmoil the corporate industry faces from different market trends, this is one job that never goes out of trend. This is why it is labeled as the hottest job of this century. In the financial year 2021, the data analytics market grew by $45.4 billion, which is around 26.5% more than last year.

This field is estimated to contribute 41.5% to the IT sector by 2026. Not only yours, this job literally can also make or break a company’s reputation. So here are a few ways how data science courses can benefit your career.

  • It is one of the sectors with an overabundance of positions with predictions of having an even bigger impact in the corporate sector in the future, so you will never have to worry about going out of jobs.
  • The payscale matches your work output, so you will never have to complain about getting the short end of the stick.
  • Being one of the most versatile fields, this course can help you to work in almost any kind of industry from healthcare to e-commerce services. So, literally a dream job.

Conclusion

The future of the data science industry is standing on firm ground and blooming with opportunities. This is why the number of students wanting to learn data science courses in India as well as globally has increased by leaps and bounds.

Whether you are a student or a working professional wanting to polish your skills, as always, Imarticus learning has come forth with this golden chance of weekend batches for PG program in data science course with placement from big companies to kickstart your career.

Fashion Trends Using Data Analytics

Posted on by Imarticus Learning

The fashion industry is one of the biggest sectors globally. In India alone, the textile industry was estimated to be worth around $100 billion in 2019. It attracted Foreign Direct Investment worth $3.68 billion between April 2020 and December 2020.

Like any industry, companies in the fashion sector use technology to advance further and enhance their performance. That’s why the demand for data analytics professionals is rising steadily in this field.

The following article will throw light on what do data scientists do in the fashion sector and how they are helping this industry grow.

How Data Analytics Helps the Fashion Industry

Understanding the customers

Data analytics helps fashion companies in getting better insight into their customers. They can collect data from reliable sources, optimize it and analyze it to find unique patterns in their purchase behavior and modify their marketing strategies accordingly.

Data scientists handle the gathering of the data because the source can influence the quality of data significantly. When a brand has a better understanding of what its customers want, it can create products accordingly and get ahead of its peers.

Analyzing the competitors

Competitive analysis is a major aspect of any industry. Knowing what your competition is doing and the reasons why it’s making progress can help you chart out a better future plan.

Data scientists are capable of finding patterns and factors that affect certain outcomes. They assist fashion brands in analyzing the industry and thus, help them beat their competition.

Optimizing the sales process

The sales process should be smooth and hassle-free for every customer. It shouldn’t be difficult for a client to find the product he/she wants. However, in many cases, the customer doesn’t know what he/she wants. This is where data scientists come in.

They create recommender systems that analyze a customer’s past interactions with the brand, the available data on him/her, and predict his/her most preferred choices. Recommender systems also predict user behavior based on what other users with similar interests like. By using recommender systems, fashion companies can easily sell more products and retain more clients.

Data Science Course

Predicting future performance

Forecasting how the current industry trends will behave can help a company greatly. Data Analytics and Machine Learning Training allow fashion companies to perform predictive analysis. It assists them in making better-informed decisions about their current and future products.

For example, it can help them decide the right time to launch new offers. Similarly, it can help them determine how their existing campaigns will perform so they can rectify any errors.

Starting a career in data analytics

Now that you know what do data scientists do in the fashion industry, you might be interested in pursuing a career in this field. Becoming a data analytics professional is quite simple if you have the right knowledge. Data scientists are experts in machine learning, artificial intelligence, mathematics, and statistics. Hence, you must learn these subjects and get familiar with the relevant tools used in this field.

The most effective way to do so is by joining data analytics courses in India. Joining data analytics courses online will help you in learning the necessary concepts and get certified as a data science professional.

Conclusion

Data analytics has become an integral part of many industries, and fashion is one of them. You should start looking for data analytics courses in India if you want to make use of this opportunity. It would be best to join data analytics courses online because it would ensure you can study safely and from the comfort of your home.

Top Big Data Analytics Challenges in Health Insurance!

Posted on by Imarticus Learning

Have you ever wondered that by the end of 2025 there will be more than 200 Zettabytes of data available in global cloud storage?

This ever-increasing data is either available in an unstructured or semi-structured form. The health insurance sector is one of the major contributors to this global data.

The rapid digital transformation of the insurance sector is powered by artificial intelligence, machine learning and predictive analysis. Big data in the field of health insurance has started playing a crucial role.

In order to transform the unstructured data into a structured one, organizations need detailed algorithms. Trained professionals from the field of data analytics can build and apply these algorithms in a strategic way to make the best use of the data.

Big Data Analytics Courses in India

There are no two ways that data analytics is transforming the insurance sector at a much faster pace, yet the unique nature of the health insurance market poses many challenges to meeting the requirements. If you are looking to make your career as a data analyst in the health insurance sector, you should first understand some major data-related challenges existing in the health insurance sector.

In order to facilitate flawless services, two major challenges faced by the health insurance sector are Regulatory compliance and data integrity.

Regulatory Compliance

Most of the challenges in any process which is governed by rules and regulations majorly set by the state are the matter of regulatory compliance. Even the slight shift in the set of the state and the federal regulators may result in a major shift in terms of execution and thus always having a close eye on the latest developments has become the need of the hour.

One such regulatory Act in the health insurance sector is the Health Insurance Probability and Accountability Act (HIPAA). Despite the understanding of HIPPA’s privacy policies, very few insurers are aware of its data security and protection.

For example, e-PHI contains the electronic records of personal health information as guided by HIPAA’s security rule book. These guidelines ensure the insurer will maintain the confidentiality of the data they receive through e-PHI.

In order to safeguard crucial and confidential data, insurers need to identify and protect the data from potential threats and need to ensure that the entire workforce during execution follows all the compliance.

Data Integrity

Data integrity is not a very new challenge, many solutions to it exist, but the lower standards in terms of quality can cause major issues.

The main challenges related to data integrity lie in the health reports of patients. To deal with these challenges, special data understanding is required. In addition to this, the nature and scope of the patient-provider relationship lie in precisely capturing the events such as illness, diagnosis, prescription, claims, etc.

The problem lies in identifying the policyholders who are not in active engagement with the insurers. Another related problem lies in identifying the policyholders who stop filing prescription-related claims.

What would a Data Analyst do to overcome these challenges?

Big Data Analytics Course in IndiaIf you are looking for some data analytics courses in India, to build your career as a data analyst in the health insurance sector, you can contribute at every stage, right from data mining to data architecting to statistics.

Data analysts design the required infrastructure that suits the organizational requirement of data integrity and compliance dynamics. Data analysts play a crucial role in designing independent systems which help them analyze the data, engineer the data and eventually get the best out of the data.

To get a clear sense of what data analysts do, we should see data analysts as data architects, data scientists, data engineers, and statisticians at different phases of the project.

If all this information regarding big data in health insurance has piqued your interest, you must research more about the data analytics courses in India which would provide you with the next steps to get that much closer to becoming a full-fledged data analyst yourself.

Join the latest webinar on this for FREE

https://imarticus.org/Learn-Data-Analytics/

How Do I Start a Data Analytics Study?

Posted on by Imarticus Learning

Before commencing anything new a lot of questions and queries baffle the mind. When starting a data analytics study there are some factors one must keep in mind for a smooth and practical flow of the study. By investing some of the time in the beginning to follow these steps, a good amount of time and efforts can be saved while carrying out the actual study.

Keep the following points in mind before kick-starting a data analytics study.

  1. Understanding the Capacity: Before you begin to explore a particular study in data analytics, it is significant that you know about the whole capacity of data analytics.
    Data Science Online Course
    There is going to be a great requirement of the theoretical knowledge and deep insight about data and understanding data. Learning about the coding languages and syntax is paramount to make a hold on data analytics.It can prove to be advantageous if you take up a data analytics course online which can make you learn data analytics and its different elements in a precise and detailed manner. You may refer to Imarticus learning which can help you hone your undiscovered skills and make you a genius in data analytics.
  2. Experimenting: Once you gain proper knowledge about the coding languages and their systematic usage, it is really important that before you jump on to the main data analytics study, you apply what you have learned by the way of an experiment. Internet is filled with data published by various renowned companies which can be used for the experimentation. Experimentation is the only means which can help you establish a relation between the cause and the effect.
  3. Specifying the Pre-requisites: Once you are done and satisfied with your experimentation, to begin the actual study in data analytics you need to specify the requirement of a specific date on which the research is going to be based. This data can be in any form like the number of people from the general population or the number of people working from home etc. Understanding the specifications of the data, in the beginning, is paramount.
  4. Collecting the Data: After specifying the requirements of data and recognizing the sources of that data, the collection has to be started. Data can be availed from various sources like the company portals or the organizational databases.The collection of data has to be appropriate and methodical so that it is not hard to decipher when the study begins. Sometimes the data collected is not at all in a usable manner and has to be filtered on various levels before beginning the actual study. In such a scenario, the data undergoes a processing and cleaning process.
  5. Processing the Data: For better understanding, scattered data has to be represented methodically for the study to be smooth. In this step, various tools are used to make the data workable. With the help of bar-graphs, tables with rows and columns, data are presented systematically. Generally, the use of spreadsheets is done for a structured display of data.
  6. Cleaning the Data: At this point, still, there would be a lot of information which is going to be of no use while carrying the study. There are chances that there is a duplication of the data. Most of the times there are certain errors in the data which may cause a lot of problems while studying and analyzing it. Such errors are got rid of in this cleaning process.

After following these steps, the study of data analytics can be taken forward in a hassle-free and smooth manner. To learn data analytics and how to communicate the data after analysing it, refer to Imarticus leaning which is an ideal way to learn data analytics through professionals.