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Tag: big data analytics course

Big Data Influences Online Trading in 3 Primary Ways!

Posted on by Imarticus Learning
Reading Time: 2 minutes

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
Reading Time: 3 minutes

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.

In The Face Of Job Uncertainty, Can A Career In Big Data Protect You?

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Reading Time: 3 minutes

Big data involves extracting, analyzing and processing vast amounts of data using different techniques. With electronic apps proliferating through sectors and geographies, data is generated from various sources every day, everywhere, by everyone.

While big data entails sifting through unstructured data in multiple formats, the insights derived from these data dumps are invaluable to business or societal goals. Detailed knowledge of the business, through big data, will build greater efficiencies and give them an advantage over rivals in a data-driven environment.

The importance of big data has come further into light during the novel corona virus pandemic. Although the world is far away from a cure, the use of big data has allowed organisations and governments to manage the crisis, mitigate the impact as far as possible and maintain lock downs at a national level.

That said, healthcare is not the only sector that benefits from big data. Nearly every industry known to humans today can derive actionable benefits from big data, should they use it to its maximum potential.

The burning question, then, is if a big data career can keep you safe from job cuts, layoffs and furloughs. It just might, for the following reasons:

Big Data CareerA Shortage of Big Data Talent

Although there are many complexities involved in incorporating data-driven perspectives into traditional business practices, recruiting the best talent has become a consistent frustration across industries. Both as a result of this and as a precursor to this, companies have been failing to realise the full potential of big data and have been able to extract only a limited amount of insights.

A Breadth of Possibilities

Companies and industries are only just realizing the potential of big data across the board. Therefore, there is a myriad of paths to explore within the field in the coming year. This makes today an opportune time for those in looking to kickstart a big data career. Companies will be on the lookout for those with solid core competencies as well as a willingness to learn and experiment. Much of big data’s capabilities are hitherto undiscovered; big data analysts and scientists can help industries derive as much value as possible.

Evolving Technologies and Software

Technology continues to change and transform, which means new sources of data are being added into the mix. For traditionalists, this amount of data can look daunting and be misconstrued as useless. However, big data professionals can interpret these data dumps, extract value and engage in data storytelling such that big data drives business goals from the get-go. Additionally, new software is being introduced to handle niche requirements; a big data analyst or scientist with some experience in this will prove to be invaluable to a company exploring big data possibilities.

A Surge in Big Data Courses

If the number of enrollment in big data and related courses are anything to go by, then it is safe to say that interest in big data is only increasing by the day. A good big data analytics course, however, doesn’t stop just there.

It also delves into machine learning, Artificial Intelligence and Natural Language Processing because all of these are intrinsic to the process of deriving actionable insights. Any big data analyst worth their salt will strengthen their competencies in these fields first and then apply theory into practice.

Conclusion

A great way to get your foot in the door and strengthen your skillset is to enrol for a big data analytics course. While the job market seems to be bleak the face of a potential recession, you can offset some amount of impact if you’re pursuing a career in big data. It’s most likely to rebound from this depression and create meaning out of the noise even in difficult times.

Applications of Analytic Used in Ecom & Social Media Sites – #KnowledgeBytes | Imarticus Learning

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This Imarticus Learning video explains the Applications of Analytics. Amazon is one of the examples of applications of analytics. This video describes how Amazon has mastered the art of cross-selling by giving product recommendations on the right pages. This is possible because of the data analysis. Facebook is another example of analytics.

Facebook applies analytics to customize the notifications that the users receive. EA and Zynga from the gaming industry are other examples of the application of analytics. Another important application of analytics is the FICO credit score. Email spam filtering, which is a need for email applications, also uses analytics to give their users a better experience.

Check our complete #ImarticusPrograms playlist here: https://bit.ly/2JP52hM Subscribe to our channel to get video updates.

To know more about Data Analytics Certification, please visit here – https://imarticus.org/post-graduate-program-in-data-analytics/?utm_source=youtube&utm_medium=organic&utm_campaigntype=youtube

Why Imarticus?

Imarticus Learning offers a comprehensive range of professional Financial Services and Analytics programs that are designed to cater to an aspiring group of professionals who want a tailored program on making them career ready.

Our programs are driven by a constant need to be job relevant and stimulating, taking into consideration the dynamic nature of the Financial Services and Analytics market, and are taught by world-class professionals with specific domain expertise.

Headquartered in Mumbai, Imarticus has classroom and online delivery capabilities across India with dedicated centers located at Mumbai, Bangalore, Chennai, Pune, Hyderabad, Coimbatore, and Delhi.

For more information, please write back to us at info@imarticus.org Call us at IN: 1-800-267-7679 (toll-free)

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Top Reasons Why Big Data Analytics Is One of the Best Career Moves!

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Reading Time: 3 minutes

What is Big Data?

We are living in an era where we consume data more than anything, be it food or water or even electricity. If you use technology to help yourself in your day to day chores or if surfing the internet to find information for your purpose is an on-going thing, you are one of the beneficiaries of the big data.

So what exactly is the big data? In the most basic sense, big data can be understood as the collection of data that is extremely large in size and is accumulated on a continuous basis.

Big Data AnalyticsIf we go by the general definition of it, the big data is an industry that deals with systematic extraction and storage of information in the form of data from various data points; it also helps to perform complex analysis of extremely large data sets.

The data stored is used to perform analysis to identify patterns, trends or establish association and relationship among different variables especially relating to human behavior and interactions. Examples of some big data sets include data generated by the stock exchanges, social media sites, etc.

Many big corporations are using big data today to gain customer insights and design their policies and price their products accordingly to gain maximum output from their investment on customer acquisition and other areas.

Big data analytics as a career option

In the contemporary world data is the fuel for exponential growth. Corporations today use data in conjunction with other progressive technologies like the machine learning and artificial intelligence to help process large piles of information and gain valuable insights from the same. The new technologies not only help to do too much in too little time but it also minimizes the chance for random human error, which is very likely when dealing with an extremely large amount of data set.

Since the big data is a fairly new field, very little is known about the career options and the work required to build a career in the domain. If we were to compare it with traditional occupations that are held in high regard, data analysts have a similar role to play as the doctors in our lives. Basically, they are the doctors for data, who help to analyze and scrutinize data and find any anomalies if they exist.

Big Data Analytics CareerThe most important factor why big data analytics is a good career option can be understood through the lens of general economics.

At present the demand for data analytics professionals in the industry is higher than the labor supply for the same, this means that it’s not only a growing field but also the one with higher perks and remuneration.

According to IBM reports the jobs in the data industry in the US alone will increase to 2720000 by 2020, higher than the current supply of professionals in the field. A career in big data is the most sought after especially in the developed economies.

According to sources, the current size of the analytics market is around one-tenth of the global IT market and is assumed to grow and become one-third of the global IT market in the coming years, another reason why it’s a good career move.

Finance and Analytics online coursesThe number of job posting on some of the reputed job portals has also shown a significant increase from the previous year indicating high growth in the field.

Big data analytics adoption is growing with the minute, another important indicator that favors the career move in the data industry is the increase in companies that are adopting big data analytics to improve their day to day functioning and cut their costs on futile marketing and advertisement.

The use of big data helps to make things more contextual for the customers and optimize the output and price for the brand in the process. The big data course is designed to help develop a comprehensive understanding of the subject and is beneficial for those who are eying for a career in this field.

Will Doing Big Data Analytics Courses Help To Make a Mid-Career Jump?

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Reading Time: 3 minutes

“Data is the new oil for business” is the tag line used in the modern world ruled by digitalization. Businesses today depend on data for various reasons. As you are aware data generated every day is counted in quintillion bytes so ideally, traditional methods of data handling are not sufficient to handle this lump-sum data productively.

The primary intent to learn Data Analytics is to figure out a pattern using which assessing customer preferences and tastes may be easier. Big data confines itself as a large sum of data available either in a structured or unstructured format.

Different big data analytics, tools, and techniques are on rising demand for the impact of big data on businesses. Such tools are put to effective use in finding business opportunities and making business decisions.

Competitive advantage for big data analytics aspirant with a tech background 

For a person working in a software firm who has some technical knowledge undertaking big data Hadoop course will be extremely beneficial to beat the competition. A report from Forbes suggests that the median salary for a data scientist is $110000. Corporate giants like Cisco, IBM, Oracle, Google, and Microsoft have posted numerous job openings in this field. However, Big Data has widespread use in different sectors of business like Aviation, Pharma, education, Telecom, healthcare, It, Retailing and sports. There are endless opportunities for a person who masters Big Data Analytics Courses in any phase of a career.

Merits of a private training institute

As far as private training institutes are concerned they design a comprehensive structure of big data analytics and provide hands-on training for better knowledge about the concepts. In order to make a career shift, you do not have to invest in sky-rocketing fees of legacy education institutes and their degrees. Various online private institutes offer state of the art classes, online sessions, and programs for your convenience.

Capitalize on the trending big data analytics course by opting for private online institutes who are performing extraordinarily in governing the aspiring students in any phase of their career. Learning and getting trained with professional hands may land you in a dream position.

Skilled and properly trained Big Data Analysts are paid hefty and long-term growth may be possible if you deliver the expected results to the companies.

Big data analytics training encompasses several technologies like:

  1. Machine learning which co-relates to Artificial intelligence and creates automatic proactive models that analyze bigger problems and brings about a meaningful solution.
  2. Efficient data management program to be designed by the companies for organizing the data that is constantly flowing in and out of the organization.
  3. Data mining is a technology which assesses large quantity o data to figure out a pattern which can be further called into meaningful insights for the business.
  4. In-depth understanding of Hadoop framework which skillfully stores data using commodity hardware and runs its cluster of applications in it.
  5. In-memory analytics uses system memory to analyze the data thereby saving time and better decision-making.
  6. Operating with Predictive analysis which uses historical data along with statistical tools and technologies to find a future prospect.

Some of the job titles that one may get into big data are big data engineer, data visualization expert, Hadoop developer, information architect, business managers, software testers an more.

You may be wondering why is big data being a prominent part of successful business, well, let me answer this with the following points:

  • On the long run, big data analytics tools like Hadoop and cloud analytics reduce the cost of storing a large sum of data by identifying ways to build a profitable business.
  • Big data technique Hadoop, when clubbed with memory analytics, helps in analyzing the information and make decisions immediately based on the research. Thus aids business in a fast and better decision-making process.
  • Big data analytics ability to identify the customer needs, has leveraged on the businesses to produce new products that satisfy the customer needs.

To sum up

If your previous job was mundane and not exciting enough, you could probably want to get closer to the way business works through big data analytics. Having knowledge about technical aspects will be an added advantage to take up data analytics as a mid-career jump. Explore more through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

How are Online Retailers Using Big Data Analytics?

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Reading Time: 3 minutes

Data is being generated at every moment of the day and has grown from retailers using their own data to databases available across industrial verticals. It is so huge that cloud storage is now the buzz word. Data analytics with the Big tag deals with data primarily and the predictions or forecasts from analyzing databases that help with informed decision making in all processes related to business. This could run into volumes of several petabytes of data.
But, why would one need a Big Data Analytics Course? Because smaller databases that are less than a terabyte size-wise can be tackled with traditional tools. However, modern data tends to be unstructured and comes in the form of videos, audio clips, blog posts, reviews, and more which are challenging to clean, organize and include huge volumes of data.
The tools and techniques involved in the capture, storage, and cleaning of data need necessarily to be updated. One also would need faster software that can compare databases across platforms, operating systems, programming languages and such complexities of technology.
The speed and agility of analytics offer big advantages and savings in making informed business decisions. That’s why investing in data analytics and Data Analytics Training is such a popular choice across industrial verticals and sectors.
Let us look at the data analytics improvements of some real-life examples.

Offering marketing insights:

Foresight from analytics has the potential to change marketing strategy, operations and more in all firms. Whether it be effective marketing strategy or promotional campaigns, decision making, purchasing, cost-saving measures, targeting the customers, promoting products or improving efficiency through the predictions, insights, forecasts, etc help make those decisions. Just look at the campaign of Netflix covering over 100 million customers for inspiration.

Boosting retention and Customer-Acquisition:

Coca Cola used their data foresight to draw up their retention and loyalty reward programs and to improve their services, products, and customer stories. Besides boosting sales such improvements trigger loyalty too.

Regulatory compliance and Risk Management insights:

Singapore based UOB did their risk assessment and management for the financial sector and budgeting. Foresight and predictions can also be effectively used as a critical investment in regulatory compliance.

Product innovations:

Take the example of Amazon’s diversification into groceries, food, and fresh-foods segment. Their analytics program was based on the acceptance of customers trends and successfully helped innovate product lines, design models of innovation in saleable products, etc.

Management of logistics and supply-chains:

This essential field can be transformed very effectively as Pepsico did with improved processes, scheduling deliveries, warehouse management, reconciling logistics and shipment needs and more.
Budget and spending predictions:
The loyalty of customers is reflected in spending patterns and data is collected from use of credit cards, effects of promotional programs and customer retention data, web users log-in data, IP addresses, etc to gauge predictions for spending and effective budgeting. Did you know that Amazon analyses accounts that run into astounding figures like 150 Mil customers and their analytics programs increased sales by 29 percent and new customers by 40 percent? That’s huge profits from data analytics!

Bettering customer service:

Improvement in customer experience yields big dividends as in the case of Costco where specific customers who were at risk with listeria contamination in fruits and were warned instead of creating a scare with emails to all customers.

Demand forecasting:

Just look at the Pantene and Walgreens hair-care products sales figures. They promoted the products based on a demand prediction of weather and anticipated higher humidity affecting sales of anti-frizz hair products. Pantene recorded a 10 % increase and Walgreens a 4% sales increase. Smart use of data analytical predictions by retailers!

Research on journeys of customers:

This graph is never a straight line and when in retail marketing analytics with many thousands of customers, one can help understand data like where an individual customer will seek product info, how and where to reach such customers, why the customer loyalty changed, etc. Looking for the needle in the haystack is now easy with data analytics.

Concluding note:

All enterprises, especially in the retail sector, need big data analytics to have reduced operational expenses, a competitive edge, enhanced customer loyalty, better productivity, and retention. The demand for data analysts keeps growing alongside the growth of data and is an ideal choice of careers with scope, payouts, and growth. If you wish for a Data Analytics career, then do a big data analytics course at the reputed Imarticus Learning. Their data analytics training with assured placement, certification, soft skill modules,industry-suited curriculum, and real-time project work offers the best career choices. Enroll today!

Why do Corporates Need Big Data Analytics Training?

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Reading Time: 3 minutes

Why do Corporates Need Big Data Analytics Training?

Data is an invaluable organizational asset in modern times since big-data is being exploited for its value in providing business foresight and predictions based on analytics.

ML, AI, and deep learning algorithms are applied to massive data volumes to provide corporations with the opportunity to use their data to tweak their measurable efficiency, and the decision-making process, and also reach out to a larger number of employees at the same time.

And, data analytics training on big data is no single program. It is a technology combination that helps the corporations extract the best value from data and analytics tasks. 

Corporate advantages:
The important plus factors of data analytics for corporations are explained briefly below.

Database Management: Data can be from different sources and in various formats. Its quality and organizations are of prime importance before going in for big data analytics. 

Since in most large corporations the data travels from department to department, and various subsets may be added or deleted as the case may be, it becomes necessary to have an established repeatable process and a master management program format to maintain the quality of the organizational data. This ensures that the management of data is in synchronization across the organizations.

Mining and modeling of financial data: The technology for this task allows the examination of several petabytes of data produced by the moment. This task will enable you to sift through the data for relevance, and then use the subset for predictions and forecasts which hasten the decision process and in turn impact informed decisions being taken for critical and strategic decisions by the management.

Pricing and modeling using ML: ML trains the machines and AI to help it learn to recognize the patterns involved. This hastens its self-learning process and allows the algorithm to automatically move through more complex data models and still deliver accurate and desired outcomes.

This Big Data Analytics Training capacity is invaluable, especially where unknown tasks and risks are involved or where models need to be continuously auto-generated.

Storage and engineering of Big-data: Hadoop is a commonly-used, free and open-source framework which uses clustering of information on hardware to store larger amounts of data. Since data continually increases in volumes, types, and sources, the Hadoop models used for computation handles very big-data volumes and needs no license. It thus allows for using demographics, sensor data, driver data and market information all on the same platform. The best example here is of the 2000 crisis in Ford and how it overtook the competition in Asian and European markets.

Product development and analytics in-memory: Instead of using the hard disk, such a facility allows the access of data from the system memory instead. This allows quick decisions, analytics and predictable outcomes from the organization’s data. One of the most significant advantages of the system memory is that it is iterative, agile, removes latencies in processing and data preparation while providing for quicker and better decisions and analysis that is interactive especially in product development and modeling.

The task of Predictive Analysis: Here, the technology used consists of algorithms based on statistical modeling and ML techniques. Large corporates use their data for gainful business outcomes based on Big Data Analytics to make the best decision in any given scenario.

Marketing, risk assessment, and fraud detection are just some of the areas that benefit from such analysis. Were you aware that Singapore based OCBC used such insights to achieve a new customer increase rate of 40 percent?

HR capabilities and mining texts: The latest improvements are used to analyze data from text messages drawn from the surveys, comments, Twitter, web posts, emails, blogs, books, and such text-using sources. Such analytics is beneficial in strategizing for competitive leadership, the introduction of new products, newer areas for development, and establishing loyal customer relationships both within and outside the organizations.

Parting notes:
Training and cleaning of data are very important to organizations to take quick and effective decisions at the right time, especially when it comes to strategic and critical business decisions. Since data analytics comprises of a series of technological programs executed in systematic models, it is essential to do a data-analytics course before one makes a career in this field. The scope for such jobs is indeed never-ending because of the sheer volumes of data being generated and available for analysis.

Doing your course with the reputed Imarticus Learning ensures you are job-ready, proficient in data analytics and get a chance to hone your presentation skills too through the soft-skills modules. Top this with certification, and you are all set to start a great lucrative career. Do you have any more doubts? Get in touch with Imarticus today.

How Big Data Analytics can impact business results?

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Reading Time: 2 minutes

Big data analytics are for those companies, corporates, and global organizations that take their businesses and the respective business aspects such as efficiency, growth rate, profit-making, market positioning, market targets, customer satisfaction and stakeholder satisfaction seriously, and wish to see a consistent development and progress in all of these business aspects periodically.
Let us deeply examine how big data analytics can impact your business.

1. Data collection gives insight – The general big data collection made by companies and corporates sketch a deep insight into its customers, trends in markets, profit scopes and loss areas, help in understanding their product in relation to the business market, and the target products and services that will enable bigger profits and revenues to the company/organization at large.
2. Improvement of internal operations – With the impact of big data analysis not only will you be able to understand the business worlds, business markets, your goods/services value in this relation, you will also understand what business aspects and agencies within your business operations need attention and work. This can positively contribute to the progress, development, and profitability of your company/organization largely.
3. Understand employees and workforce – Through big data analysis you will be able to understand the efficiency, effectiveness, and quality of your company’s/corporate workforce at large, and be able to help them become better at their skill sets, tools, and techniques, or you may even choose to hire better, and competent professionals from the job market. This will naturally impact your organization’s success scale in various contexts.
4. Helps understand the consumer – Big data analytics not only helps you understand the needs, requirements, and standards that your stakeholder wishes you to deliver but it also imparts a deep understanding about the consumers in the marketplace. This will, in turn, inform you about the aspects where you can improve, re-build, and develop your goods and services as per the consumer market demands and requirements. This will add to your corporate profitability and growth immensely.
5. Understand your company’s strengths – Big data analytics with all its insight and analysis about the information on market trends, customers demands, market’s profits, and demands, helps you sustain your business by giving you a clear analysis and look into your company’s already existing strengths and merits. These can be worked upon further to gain more progress, development, business evolution and direct your profits in a seamless manner. You will also understand what makes your company a leader, and be able to predict its future with the help of big data analysis.

Data Science Course

The above are but just some of the advantages of big data analysis. A professional big data analyst will tell you that data mining today is equivalent to gold mining a company, and these information pieces, data, and tools must be kept with the company for the present, and future analysis, and also to learn from past failures/blunders. Thus, big data analysis is a comprehensible, strong tool in understanding an organization/corporate/enterprise in the most precise manner possible. You can gain a big data analytics course to kick start a job in data analytics as a career.

What jobs can you get with a Data Analytics degree?

Posted on by Imarticus Learning
Reading Time: 2 minutes

 

The Data Analytics industry is one of the fastest growing sectors, proving to be a job provider to thousands of potential professionals every year.

Therefore, upon the successful completion of a Data Analytics degree, there are various job options that you can explore. Some of these have been deeply detailed in the following paragraphs. Let’s have a look. 

  1. Gaining a Big Data Analytics course or degree can give you a winning career as a Business Analyst – As a Business Analyst, you will be handling responsibilities such as Database management, cleaning up of data sets and organizing them.

    Creation of data visualizations, that convey information in an engaging visual manner to the audience. You will also be responsible for building models that explain the interaction of various variables, and this will be used for companies future references. 

  2. Operations Research Analyst – An Operations Research Analyst methodically uses data mining, data modeling, data optimization, and statistical analysis to help companies, corporates and organizations run cohesively and efficiently. Their major responsibility also includes streamlining of operations processes, minimizing waste and optimizing source models. Operations Research Analysts are also called as Operations Analysts, Operations Business Analysts, and Business Operations Analysts. 

  3. Quantitative Analyst – A Quantitative Analyst usually handles the finance department using, applying and implementing trading strategies and assesses risk factors and help/guides in generating maximum profits.

    They are deeply involved in the usage and designing of mathematical models that give financial firms and organizations to price and trade securities accordingly.

    You will require skills such as a great aptitude in mathematical statistics and finances, calculus, and machine learning. These will be the basics of your career as a successful Quantitative Analyst.

  4. Market Research Analyst – Studying market trends and conditions, and observing them carefully to forecast the profitability and revenue of a certain new product or new service is a job role carried out by Market Research Analysts.

    With their skill sets, tools and techniques they research and are able to predict market trends, market downfalls, measure the precise market success of various products and services, and thus identify potential markets where the said product/service can become a future success. 

    This helps organizations, corporates, and global companies understand market trends and make a fruitful profit for themselves, while making a positive impact on the society at large, with their respective product/service. 

Through individual coaching, guidance, and mentorship, you can explore many career advantages through a valid degree course in Data Analytics. These degrees usually have strategic career partnerships with industry relevant global companies and organizations (data analytics course with placement) that will help you mold you step by step process as a Data Analyst. 

You will also gain deep practical learning through internships and first-hand exposure in a corporate set up. Networking and socializing for career connects is an important task which you will be able to do through interacting with professionals and experts during your internship.

This will then help you walk down your successful path as a Data Analysts under whatever focus/stream you may later choose to focus on.