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Tag: Analytics

Reinvent Your Career With Discounted Programs Against The Pandemic!

Posted on by Imarticus Learning

The COVID-19 is likely to set different industry trends, opening up potential corners related to technology and finance. With the globe adopting the new normal of the 21st-century pandemic, thoughts turn to what comes for those looking for careers in finance and analytics!

With the removal of lockdowns and lifting of restrictions, economies are stimulating. Safety and wellness remain a priority for everyone. The pandemic presents an opportunity to explore the hidden potentials and secure jobs in finance, technology, and analytics through training for future in-demand skills. This calls for the advancement and upgradation of professionals and businesses.

Jobs of Tomorrow:

According to research, “97 million new roles will emerge by 2025, which will be more adapted to a new division of labor between machines, humans, and algorithms”. Such roles are already in demand, including data analysts and scientists, AI and machine learning specialists, robotics engineers, Fintech experts, and business analysts. Organizations need a back-up of an exemplary talent pipeline to implement technologies appropriately.

In this situation, job roles related to technology like cybersecurity experts and data scientists will be in-demand to secure organizations’ surface area from potential risks. This digital transformation increases the reliability of skilled and well-trained professionals.

It’ time to fight back and reclaim control of your career with a strategy that helps you succeed, i.e., intensive training and upgrading.

Fight Back Covid With Imarticus and Prepare!

Many may lurk into uncertainty on where to start?

Well, you definitely can’t sit still and let Covid ruin your career. At Imarticus, we assist you in fighting back by becoming a skilled New Age professional.

We provide a platform for you to invest time into E-learning and new-age career programs. Imarticus learning addresses all your future needs through intensive training that helps you secure a job in top companies in the industry.

While the pandemic may be a problem for others, at Imarticus, we turn this into an opportunity for you. Avail up to 30% off on our placement-oriented future-skill professional training programs and upgrade to the New Age career of your dreams! Imarticus understands your passion for your profession; thus, our ‘industry-first approach’ and industry-academia gap bridging idea prepare aspirants for job placements.

Data scientistBe it a new-age career in analytics, or a career in finance, or a career in marketing, Imarticus learning is focused on skill retraining and upskilling for jobs of tomorrow.

We offer MBA certification courses and management programs for recent graduates, young professionals, and executives. Our programs have been assisting professionals in developing critical thinking, retrain, enhance knowledge, and develop careers strategically for years. Now it’s your turn to enroll in our new-age career programs.

MBA Certification ProgramsImraticus learning aims to train you for in-demand skills, extract insights, and improve decision-making. This is a golden opportunity to enroll in over ‘3000 hours’ of advanced E-learning classes that polish you into an asset for many organizations. Imarticus offers a fee waiver, with discounts up to 30%, which is an exclusive offer during this pandemic era.

Rather than Covid-19 hampering your career dreams, Imarticus lets you turn the tables and explore the potential through learning programs. Sign-up today for these tailored programs to claim control of your careers.

Imarticus Learning strongly respects the power of time and wishes professionals to be productive while staying home during the pandemic. The online e-learning programs are curtailed exclusively for professionals to explore their skills through our programs. Enroll today to avail exclusive discounts on job-centered training programs that add a badge of knowledge and acumen to your career.

Believe it or not, this is the best way to fight back COVID while staying safe at home and boosting careers!

Here Are Some Data Science Careers Which Are Enhancing Our Future!

Posted on by Imarticus Learning

With the increasing reliance on data science by major corporations and the biggest brands, Data science is the prime focus of this decade. Data science is making our future better by enhancing our life in various ways and through various services.

There are different careers like data analysts, business analysts, and data scientists that one can pursue to contribute to this truly interesting field which has a huge effect on our lives and will affect our future in the years to come. Similarly, data science promotes and supports IT and the efficiency or effectiveness of businesses.

In this article, we will cover how data science is enhancing our future and the various respected careers with job roles that are highly in need of being filled. 

How Data Science is improving our future

There are a variety of ways that data science is improving our future; ranging from its applications in medical science to rapid accurate resolutions to troubled customers, data science is responsible for making our lives faster, safer, and smoother in general. For instance, data science is helping the health industry by allowing patients to be treated more effectively by analyzing historic data of patients.

It is also helping medical science by empowering chemical synthesization and simulating the effects of medication on affected individuals or allergies. Data science is increasing safety and cutting risk for us as well with applications in automated braking systems, AI in navigation, and automated cars, warning about industrial risks or any issue with the structural integrity of physical or digital units.

Data science makes our lives smoother by providing assistance in machine learning of customer care or service platforms which in turn give us rapid and precise resolutions. Data science powers the recommendation engines during shopping, social media and search or media recommendations by learning our behavior and global trends and then using AI to provide us suggestions.

Highly regarded Data Science careers valued by companies and the beneficiaries 

A data science course helps individuals acquire the necessary skills to contribute to this highly reputed and valuable field that works with data. 

Data Science JobsData Scientist – A data scientist helps while sourcing the data and then processing the data. Data scientists are experts in data mining and are responsible for removing the noise from the data, handling the data, modeling the data, and storing the data.

 

  • Data Analyst – Data analysts also engage in data mining, data cleaning, and then working on the data with various tools. Data analysts then analyze the data and then use predictive analytics to gain insights from the data with various tools and simulations with the help of the acquired data.
  • Data Engineer – Data engineers work with scripts for injecting data from various sources, they are involved in the modification of data, creation of data models and they work on the data with various programming languages. They also troubleshoot data problems and assist IT or software development projects.2. Business Analyst – Business analytics is highly used by organizations to gain insights from data, and then with their help, companies make business decisions based on the visual or graphical representations and predictive analytics which is backed by data. Business analytics helps businesses a lot by helping them make the right decisions which helps them cut costs or maximize profit while minimizing risk. 

 

 

  • Marketing Analyst – A marketing analyst uses analytics to find our market patterns and the user or target behavior to help companies accurately target ads and marketing promotions. Marketing analysts depend on data to figure out trends and target the relevant audiences. 

 

It is due to data science that we are able to enjoy the various forms of technology and automated or AI-powered services that are backed and powered by data science. An expertly orchestrated data science course can help in acquiring various job roles that are in need to be delegated to human assets trained extensively in data science. 

Data Science and Analytics Career Trends for 2021!

Posted on by Imarticus Learning

A career in data analytics and/or data sciences is presently in extreme demand. This is due to the need to optimize new modes of data collection to identify large-scale problems and find solutions in a world after Covid-19, despite a minor drop in job openings at the start of the worldwide lockdown.

data analytics career

There are several trends that one must look out for if he/she wishes to pursue a career in data sciences and/or data analytics, including and beyond ones that involve adjusting to the ‘new normal.

It can be argued that 90% of data that is generated and collected were over the past 3 years. The demand for data science and analytics is therefore only going to grow in demand, at least for the next 10 years (and probably more). To ride this wave of opportunities in jobs and research and beyond, one must keep up with career trends relating to these fields.

What are the trends one must keep up with to enter a career relating to data?

  1. Understanding Data Collection

One must take a look at the avenues which entertain the possibility of data collection – preferably in new, never-before-seen ways. One may look to his/her area of expertise and collect data on it while combining newly learned data management skills to become a data analyst and/or scientist. This may definitely be aided by undertaking programs like data analytics courses at Imarticus learning.

  1. Analytical Problem Solving

In addition to hands-on experience, data analytics online learning may cover various fields relating to data. One must learn the basics like spreadsheet management in order to tabulate data more efficiently for analyst work.

Data Analytics Career

It is a useful skill to know what to recognize as possible data and convert that into an absorbable format, which will ensure later calculations, problem identifications, and solutions.

  1. Understanding Data Management Tools

If one is more interested in being a data scientist, then he/she must work to observe trends in big data. This involves learning big data management tools like Hadoop to find newer frameworks to collect, store and make sense of data. With earning SQL and no-SQL programming in addition to managing databases, one may find new problems to solve, whether for research or for aiding a business (or one of the myriads of other uses).

  1. Machine Learning

This is further aided by mastering other tools like machine learning and artificial intelligence. There are various tools that one may incorporate into his/her data studies, be they included in basic data science and/or data analytics courses or not. Undertaking this endeavor will allow one to master various avenues for finding and exercising ideas, which the world will go on to greatly benefit from.

  1. Communication

A possibly surprising trend that can be observed in regular data analysts and data scientists is the presence of soft skills. Someone dealing with data is required to regularly articulate and advertise new ways of improving things in his/her burgeoning field. Skills like effectively communicating one’s ideas and building useful chains of interpersonal relations go a long way in aiding the career of a data analyst and/or scientist.

  1. Artificial Collection of Data

One must find ways for his/her data collection and processing models to work without his/her presence. This process involves training replacements – both artificial and human. Ideally, a data scientist is expected to design systems that function without his/her interference, not only to undertake routine tasks but also to identify new problems and calculate possible solutions. A noted data trend is the undertaking of this process.

Conclusion

In conclusion, one can say that he/she must observe several trends relating to data on a regular basis, to adapt and grow into the self that can make a huge impact on this frontier field.

Data Analytics CareerData science and analytics are making strides in the tech market, and it is clearly the future. So, a career in data analytics can be really fruitful in the long run.

Top 5 Courses From Imarticus That Empowers Women!

Posted on by Imarticus Learning

The 21st century is all about progressiveness; and one of the most important ways, by which this is ensured, is by women empowerment. Throughout history, we have seen the oppression of women. However, in this new age, we strive for equality. Education is an integral part of advancement; and thus, we will venture into the top 5 courses provided by Imarticus which empowers women.

Post Graduate Program in New Age Banking

 

Banking and Finance CareerCurrently, job trends in the market are thriving in the field of banking. Hence, comprehensive Banking and Finance Courses can be extremely beneficial for women.

The Post Graduate Program in New Age Banking course of Imaticus in the banking sector ticks all the boxes as it provides two great courses – an 11-month PGP in new-age banking and a 2-year NMIMS PGDBM course in Banking and Finance Management. Added benefits from Imaticus involve a dual certification along with excellent placement with lucrative increments.

Professional Certificate in Fintech 

Finance and Technology go hand in hand; and in this modern age, this integration of technology with finance plays a major role in the Finance industry.

Fintech CoursesHence, a great opportunity for any woman would be to take a course in Fintech online training. Going forward, this comprehensive FinTech course of Imaticus can open new horizons in one’s life by involving one with Cloud Computing, Blockchain, Machine learning, etc.

Post Graduate Program in Data Analytics

This fast-paced world relies on data; and hence, one of the major subjects which is currently in the limelight is Data Science.

Career in AnalyticsImarticus provides a PGP Data Analytics course that can help one to join a leading MNC and hold the company’s helm. With a huge job demand in the field of data science, this can be an excellent opportunity for someone who is a fresher or has a nominal experience of three years to learn tools like Python, SQL, PowerBI, and Hadoop.

Post Graduate Program in Analytics & Artificial Intelligence

With the world revolutionizing at a fast rate, Artificial Intelligence is going to the new normal in the coming years.

Data Analytics and Artificial Intelligence Courses We have already seen the use of AI in computers and mobiles so why not study something which will be mainstream in the coming years? A comprehensive Analytics and Artificial Intelligence course provided by Imaticus along with dual certification can bring lucrative opportunities to your doorstep.

Post Graduate Program in Digital Marketing

The modern age deals comprehensively in digital media like social media platforms, and owing to the rise in social media outreach, digital marketing has taken the job market by storm.

Digital MarketingFor a woman who is determined to take a step forward towards success, a Digital Marketing Training course provided by Imarticus Learning will be perfect. It will not only provide a good and secure job but will also take one’s Digital Marketing Career to new heights.

Conclusion

This new fast-paced world waits for none. In these present times, a woman must be very tactful in correctly choosing her goals so that she can chase her dreams. Women empowerment can only be possible by proper education and only if women take up more jobs in high places and thus be an inspiration for other fellow women.

Imarticus Launched The Campaign – A Paid Scholarship!

Posted on by Imarticus Learning

Times are highly unprecedented in the pandemic. But many of us have bravely fought the COVID war.

 

Our frontline workers have put their lives on the line and made countless personal sacrifices for dealing with this situation. At Imarticus Learning, we salute all these warriors.

We are honored to launch our new campaign – ‘The Joy of Giving’ For Providing 100% A Paid Scholarship” to professional tech-based training courses to COVID warriors and their dependents.

The scholarship is aimed at motivating the learner in you.

There are various ProDegrees available on the scholarship covering different disciplines.

You can choose from:

Data Science Prodegree – Knowledge partner KMPG

Financial Analysis Prodegree – In collaboration with KMPG in India

Digital Marketing Prodegree – Industry knowledge partner Digitas

Credit Risk and Underwriting Prodegree – In collaboration with MOODY’S Analytics

All the programs are for in-demand professional careers and will provide you with the necessary skills and knowledge to break into them and secure a bright future for yourself.

Data Science Course

Data Science course is one of its kind program in India that provides data science online training with a cutting-edge curriculum, case studies, and real business projects.

It will equip you with practical knowledge of working with data analytics tools like Python, R, SQL, etc. This course can open doors for a variety of data science careers like Data Analyst, Data Scientist, Machine Learning Engineer, Data Visualization Specialist, etc.

Financial Analyst CourseThe Financial Analyst course is a skill-building program that covers various core concepts within the financial analysis domain such as Accounting and Financial Modelling, Equity Research, M&A, Job Readiness, Valuation and Corporate Strategy, etc.

After finishing this course, students can build a career as a Financial Analyst, Corporate Finance Manager, Asset and Wealth Management Associate, etc.

Digital Marketing CourseThe Digital Marketing course offers hands-on knowledge and experience of working in the digital marketing domain through its industry-specific projects.

The curriculum includes brand case studies, simulated projects, real website capstone projects, and industry mentorship, to name a few. The Digital Marketing Training will help you in getting job roles like Performance Marketing Manager, SEO Specialist, Content Strategist, Social Media Manager, etc.

The Credit Risk Underwriting course is focused on providing an in-depth understanding of credit underwriting, lending landscape, credit administration, legal and regulatory requirements, etc.

Credit Risk Underwriting CourseThe program not only prepares you for a future career in credit risk underwriting but also provides placement services to help you build a substantial career in this field.

After the end of this course, you will be eligible for many careers including Operational Risk Manager, Risk Analysis Researcher, Credit Financing Manager, Credit Analysis Associate, etc.

Anyone who fulfills the eligibility criteria for the COVID Warrior scholarship can nominate themselves or anyone they know for a paid scholarship for these programs. The nomination process is quite simple.

All you have to do is follow us on Social Media –

Imarticus Scholarship       Imarticus Scholarship      Imarticus Scholarship        Imarticus Scholarship

And tag yourself or someone you want to nominate using the #ImarticusScholarships. There is no limit on nominations. You can nominate as many people as you want. The team of Imarticus will reach out to you with the next step of the selection process.

All the nominees will be required to submit an essay on the experiences of their fight against coronavirus. The Imarticus selection panel will choose the best 25 essays among them. They will be asked to provide attestations of their Supervisors/Reporting Managers/Head of Department certifying their societal contributions during the pandemic.

Imarticus ScholarshipAfterward, the shortlisted 25 essays will be featured on Imarticus Learning’s social media handles. The top 4 essays that will generate the maximum engagements from audiences will be offered 100% paid scholarships for the Prodegree programs.

The last day of filing your nominations is Sunday, 29 November 2020. So hurry up!

Don’t miss this great chance of learning with #ImarticusScholarships

What Does It Take To Be A Good Data Scientist?

Posted on by Imarticus Learning

What does a data scientist do?

The importance and applications of data science have grown exponentially over the past decade. Data science is still in its nascent stage and there’s a whole lot to be identified about this discipline. Businesses have started implanting strategic decision-making tools that leverage data science.

Data helps businesses by providing them with hidden insights and helps them predict the future outcome of their decision. This helps organizations to make a better business decision.

Let’s delve deeper into what these data scientists do and how it helps the organizations.

  • Finding a solution to business problems

Data ScienceOne of the most basic and key responsibilities of data scientists in an organization is to identify existing challenges and problems that a business is facing and finding solutions to remedy the situation. This might seem like a generic responsibility of every important professional but the main difference here is that data scientists use tons of relevant data to find the problem.

They try to come up with solutions after properly assessing the situation using various analytical tools that provide them with useful insights. They leverage statistical analysis, data visualization and mining techniques to provide effective solutions.

  • Find out relevant data using complex research

Data Science CareerThe 21st Century businesses are complex than ever, there are various factors that determine the fate of an organization. With the number of complexities that exist, it’s very difficult to figure out what impacts your business and how it does that.

Data scientists simplify this for organizations by studying all variables affecting a business. They use complex research work to identify the variables that have a maximum impact over the business and which are highly relevant.

  • Identify patterns and trends

Another important work of a data scientist that helps businesses is to identify patterns and trends. Data scientists use sophisticated data analysis techniques to find trends and patterns from the data sets at hand. These data sets are generally historical records of the organization. It helps them to identify the existing patterns and trends which is used to make predictions regarding the future movement of the variables.

How to become a data scientist?

Data Science CourseData science is one of the most in-demand skills in the industry and given the wide range of applications that it has, the demand for a data science professional will continue to rise in the future. One of the most common questions in the minds of data science aspirants is how to become a data scientist? There is no specific answer to this particular question. It depends on what stage of your career you are at and the skillset that you have.

A data science course by reputed institutions such as Imarticus Learning guarantees placement with top-notch firms in the industry in addition to providing relevant knowledge and skills. It also helps you provide guidance from the industry experts who are highly experienced in this domain.

Let’s delve deeper into some of the most prominent skills for data scientists that you should hone if you are planning to opt for a career in this field.

Analytical skills

One of the key skills that are required in this profession and that forms the base of all your work is your analytical skills. One should have an analytical mindset and should be able to identify trends and patterns from a big chunk of data. You should be able to assess a situation from a different perspective to reach a successful conclusion. One should be trained to work with software like Python and R and should be equipped enough to handle large volumes of data.

Problem-solving skills

Another important skill that you need to work on is your problem-solving skills. You need to use data to figure out challenges that exist in the business. After you have figured out the problems you will have to provide a solution using data analytics tools that will help the business to achieve its goals and objectives.

Big Data Influences Online Trading in 3 Primary Ways!

Posted on by Imarticus Learning

Organizations and corporates are using analytics and data to get insights into the market trends to make decisions that will have a better impact on their business. The organization involved in healthcare, financial services, technology, and marketing are now increasingly using big data for a lot of their key projects.

Big Data influences online trading in 3 primary ways:

1. Levels the playing field to stabilize online trade

Big Data analytics

Algorithmic trading is the current trend in the financial world and machine learning helps computers to analyze at rapid speed.

The real-time picture that big data analytics provides gives the potential to improve investment opportunities for individuals and trading firms.

 

 

2. Estimation of outcomes and returns

Big Data AnalyticsAccess to big data helps to mitigate probable risks on online trading and making precise predictions.

Financial analytics helps to tie up principles that affect trends, pricing, and price behavior.

3. Improves machine learning and deliver accurate predictions

Big data analytics training can be used in combination with machine learning and this helps in making a decision based on logic than estimates and guesses.

Big Data Analytics

The data can be reviewed and applications can be developed to update information on a regular basis for making accurate predictions.

 

How Can Data Analytics Improve Remote Learning?

Posted on by Imarticus Learning

Introduction

Data Analytics has transformed how we work today. It has brought in the automation we need. Big Data has found a lot of use in Industries like Healthcare, Finance, Retail, Real Estate, etc. It has made analysis and crunching of data a cakewalk. Earlier, analyzing and sorting information from data sets was a cumbersome task.

It required a lot of people and long working hours to analyse and extract information from those data sets. This got complicated as the amount of data increased and due to an increase in the number of data sets, the results were prone to errors.

Big data transformed and brought in a wave in the process with which companies handle data sets and data. Big Data and Data Analytics have not left any stone unturned.

They have even brought about a significant change in the education sector. It has become a hot career option and you can take up an online or an offline Big Data Analytics course to become a part of this transformation.

Data Analytics is creating new learning opportunities daily. It is now transforming the way students’ study and teachers teach. Data Analytics has elbowed its way to the pedagogy and is now setting up a new definition of how people study.

Remote Learning

Remote learning is the online way of studying where technology becomes the source or medium of knowledge exchange. Remote learning eliminates the use of traditional classrooms removing the barriers of place and time. The Internet has become an essential and Remote Learning is making the best use of it.

Big Data Analytics CourseRemote learning is now been done through a lot of platforms and mediums such as Video conferences, online tasks and assessments, discussion boards, webinars, etc. These platforms allow free flow of information and are equipped with all kinds of features like screen sharing, system control sharing, whiteboards, annotations etc. Remote learning is a new way of learning.

Remote learning generally translates to the face to face mode of studying using technological resources. You can initiate or have access to remote learning from the convenience of your homes.

Data Analytics and Remote Learning

Data Analytics has transformed the education industry. With a lot of data present, one can easily assess the demand for education and tap those markets. Big Data has made it possible for the education industry to move online.

A Data Analytics online training programme would give you insights on how things are working. Also, during a pandemic, the educators and school have easily moved to an online mode with the help of Big Data. With Data Analytics, the teachers can easily keep a tab on the performance of all the students. This would make use of different parameters to show conclusive results.

With Data Analytics, access to information has become easy. Also, the education system has been handled with a systematic approach and all the elements have now been automated.

These practices are now being standardised by trying different strategies and understanding what exactly would work in case of Remote Learning. Also, data analytics make learning safe.

Data Analytics make sure that the adoption of the system is done easily and also the students stay engaged. With data analytics, a lot of applications have been developed with simple and understandable user interface keeping in mind the demographics of the audience. Also, these applications take care of the safety of the student who is accessing remote learning resources.

Using Data Analytics, you can keep a tap on the activities of the students and how they are performing in class. It also manages attendance records, class files, etc with ease.

Conclusion

Big Data has brought about significant changes in the way students learn. With a little more up-gradation, Big Data will now drive this new model of education.

What is The Best Way to Jump Into Data Analytics Within The Finance Industry?

Posted on by Imarticus Learning

Mayanka Chowkar talks about getting placed at a leading Data Analytics finance firm after her Imarticus stint.

I completed my B.Com, and M.Com as well, and was on the lookout for a platform to jump into the finance industry.

I felt Imarticus would be a great way to get into the industry.

Some of my friends have done this Big Data Analytics Training course already and landed good placements. Seeing that, I thought it would be an excellent opportunity for me to also get into the industry through this course and through Imarticus.

I’d rate my experience with Imarticus as a solid 4. I loved most of the concepts and information that are given during the course. The faculty is also excellent.

The Imarticus Learning placement system worked wonders for me.

The staff members and faculty on the course and in Imarticus, in general, have helped me by giving me placement opportunities even before the course ended! By doing this course, I got a once-in-a-lifetime opportunity to learn about the industry and was placed in a good company, too. I’m really excited and happy about this.

I have been placed as an associate and have been tasked with handling the derivative operations. I will be joining my new workplace soon, and I’m so excited about it, I don’t have words to express enough!

Want to learn in-demand skills in the data analytics industry? Talk to an Imarticus counselor today.

What is Linear regression: What is it? How does it help? When is it used?

Posted on by Imarticus Learning

 

Linear regression is a technique for the analysis of data that is statistical in nature. It is used to determine the nature and extent of the linear dependence between independent variables and a dependent variable.

The two kinds of linear regression are

·         Simple linear regression

·         Multiple linear regression

Both use a single dependent variable. When the dependent variable is predicted from a single independent variable it is called simple linear regression. When the dependent variable is predicted using multiple independent variables it is called multiple linear regression.

Data Considerations in Linear Regression:

There are many requirements of the data to qualify for use in linear regression. Almost always the dependent variable uses a scale of continuous measurement ( Ex: test scores from 1 to 50). The independent variable scale could be continuous or category wise. (Ex: Girls Vs Boys).

Linear Regression and Correlation:

Regression analysis is normally used to make predictions. Correlation and simple linear regression are alike since both establish the extent of the linear relationship between the dependent and independent variables. While linear regression defines the variables as dependent and independent, the correlation makes no such differentiation. Further linear regression always predicts the dependent variable as against the independent variables be it one or many.

Here are some of the uses of linear regression.

1. Defines relationships:

Regression analysis can be used for the following tasks where relationships are very tangled and complex. Like

  • Multiple independent variables modeling.
  • Use for analysis categorical or common variables.
  • Model curvature from polynomials.
  • Analyze the effects of interaction and find the extent of the dependence of the independent variables on other variables.

2. Control the variables:

Regression can control statistically every model variable. To make a regression analysis the variable’s role need to be isolated from the other variables and their roles. This means one must reduce the confounding variables effects on the variable. This is achieved by keeping the values of all other independent variables constant and then evaluating the linear simple regression analysis of the dependent variable against one independent variable only.

Thus the model will only evaluate the relationship between these two variables while effectively isolating the other variables. To control the other confounding variables in the regression analysis one needs to only include them in the model and hold the other variables at a constant value.

Let us look at an example to understand the practicality of linear regression analysis. A regression analysis study on mortality from coffee drinking was recently conducted. The analysis showed that higher the coffee intake higher was the risk of dying for the excessive coffee drinker. The initial model had however not included the fact that a large number of coffee drinkers also smoked.

Once included the regression analysis actually determined that normal coffee drinking did not raise the risk of death but actually decreases the mortality rate. Smoking, on the other hand, did increase mortality rates and the risk of death was higher with increased smoking. This is a good example of the technique of role isolation of the variables holding the other variable in the model constant.

Through this one example, we are able to study the effects of coffee drinking on the mortality rate while holding the variable of smoking constant and also studying the effects of smoking on the mortality rate when holding coffee drinking or the other variable constant.

In addition to the above findings, the regression study demonstrates how the exclusion of just one variable that is relevant to the model can lead to misleading and contradictory results. It is hence crucial that the model includes all relevant variables, isolates the roles of each variable and also controls the role of the variables effectively for linear regression results to be true and accurate.

Omitting variables and uncontrolled variables can cause the model to be biased and unbalanced. To reduce such bias a process of randomization is applied to true-life analysis experiments where the effects of the variables are equally distributed to ensure the biasing by the omitted variables.

Conclusion:

Regression analysis can be very effective in predictive models. If you would like to learn more about this subject you can do a data science course at Imarticus Learning where you will ace this subject and also learn to use the technique to real-life situations.