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Tag: Data science course

Which Career Is More Promising: Data Scientist or Software Developer?

Posted on by Imarticus Learning

As per a study, about 2.5 quintillion bytes of data are produced every day. The number is about to increase by many folds in the future. The pace at which data is being generated demands more data science professionals. That’s the reason data science jobs are now regarded as one of the highest-paid jobs across the globe. And, people are joining data science training to explore a career in data.

As, firms are hiring employees who can build technical applications, and collect, analyse and predict data. That’s the reason students are enroling in data science training courses that are best and give job assurance.

Companies are keen to employ data scientists, data analysts, web developers, full-stack developers, and much more technology professionals. According to Imarticus Learning and Analytics India Magazine’s research, there will be a 30.1% increase in data science and analytics jobs in 2022 compared to 2021.

However, more competition in Information Technology requires software career enthusiasts to learn the latest technology for survival. The primary responsibility of data scientists is business analytics. They also work on constructing data and software products using algorithms. The demand for data scientists is high due to the shortage of skilled people for start-ups and corporates. Global companies are searching for professional data scientists to up their game in this competitive world.

Who is a data scientist?

Data scientists collect and interpret large amounts of structured and unstructured information. They analyse, process, and model data before interpreting the findings to develop actionable plans for businesses. The data scientist uses computer science, statistics, and mathematics for data interpretation.

Who is a software developer?

Software developers are the thinkers and doers behind computer programs of all kinds. While some software developers specialise in a single program or application development, others build massive networks or underlying systems that trigger and power other programs. As a result, there are two types of developers: applications software developers and systems software developers.

The approach of data scientists and software developers

To use and organise data in a structured or unstructured form, a data scientist becomes essential and can master the art with the right Data Science Training. Hence, there is a need for a data scientist, with sound knowledge of handling data that demands the best data science training and experience.

Software developers collaborate with computer programmers to test the convenience of using a software program. The component that powers digital systems is software which is the core element of computers. To be precise, software engineering can be termed as the application of engineering principles for designing, structuring, developing, and implementing software. An efficient software developer understands the client’s needs and then develops the software as a solution to the client’s needs.

Important tools used in software development and data science

To be productive, data science career aspirants should be knowledgeable about statistics, software programming, and analytical thinking. In addition, a data scientist should have the urge to learn and be updated about new programming languages.  Python, Swift, and Ruby, apart from mastering SQL, Spark, machine learning, and Hadoop are the most important to learn.

A software developer should know the latest programming languages along with a bachelor’s degree in computer science. A good understanding of computer programming by understanding the functionality of new tools is a plus. Along with various skills, a software developer should possess to flourish in the field of analytical skills. Followed by attention to detail, creativity, problem-solving techniques, and interpersonal skills are vital.

The pay scale for data scientists versus software developers

A report from Payscale.com reveals that the median salary for a data scientist is around 6,00,000. It is not much different in the US. According to a survey by Glassdoor, the median salary for a data scientist is $91470, which is great. So, it is evident that data science can offer ample money and growth. But, the salary also depends on the qualifications, skills, experience, and location. Firms also play a vital role in deciding the pay. 

Currently, the median salary for software developers is $1,00,80 and the growth in employing software developers is set to increase by 24% in a decade. In addition, an estimate states that there are 3.7 billion mobile users worldwide. It demands newer and better applications for smartphones and tablets. It increases the demand for software developers globally. Factors that affect the salary of a data scientist are similar to those of software developers. 

Roles and job titles for a career in data science versus software development

A few important job titles that a data scientist can do are data architect, data scientist, and business analyst. In fact, the roles of data administrator, and business intelligence manager are also in demand. Global companies in the digital world, like Facebook, Twitter, IBM, and Apple, are racing to hire the best data scientists. So, the demand for data scientists is growing like never before.

Some of the interesting career options that connect to software developers are Computer programming. Computer system analysts, web developers, computer network architects, and computer hardware engineers are also on the list. Though data science is a relatively newer concept than software development, it is increasing rapidly. 

Conclusion

This article has showcased the digitisation, technology, data rise, and demand of technology professionals. The high demand for data scientists, and software developers have given rise to the skills gaps. If you are eager to learn new tools for efficient data handling, you can grab a chance to flourish as a data scientist in the long run. Enrol for the best data science training course and enter the world of data.
But, selecting the best institute for data science training is not easy.

You should enquire about the faculty, course curriculum, and the job assistance that they provide. It is always good to get interview assistance, career monitoring, and resume-building tips from the experts. If the institute provides all this then it is the best for the learners.

It should be your priority to learn coding and programming if you want to become a software developer. Furthermore, the amount of data being produced every day is high, which signifies long-term growth and attractive salary await a talented data scientist. So, in the end, we can say that both careers in data science and software development are promising. It depends on individual preferences and interests. Both, career options are good and offer career growth. 

For more details, you can also search for – Imarticus Learning.  You can drop your query by filling up a form from the site. You can also contact us through the Live Chat Support system. To explore more you can visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Bangalore, Hyderabad, Delhi, and Gurgaon.

Advanced Data Science Skills to Stay Relevant in the Post-Pandemic World!

Posted on by Imarticus Learning

The need to upskill to meet the dynamic demands of a technology-first world has been around for the past few years; it has only become more urgent in the wake of the COVID19 pandemic. The emergence of new technologies such as Artificial Intelligence, machine learning and data science has set the tone for the future.

Data Science

In the post-COVID19 world, there are a few advanced data science skills that, when added to the toolkit of a data scientist, can make or break their career.

To ensure that your core competencies are strengthened as a data scientist, you can sign up for a comprehensive data science training course that explores the following:

 

#1: Geospatial Technologies

 With more people working on data-driven decision processes, geospatial data has helped better planning and processing of the system. This knowledge has proved invaluable in tracking the COVID19 outbreak all over the world; come the near future, geospatial technology will likely be extended to other research areas as well.

Data Science

A geospatial data scientist will need to sift through vast geographic and demographic datasets that hide gold nuggets of insight across diverse research topics.

 

 

#2: Natural Language Processing (NLP)

NLP gained traction even before the pandemic reared its ugly head. That said, it is only set to increase in importance and reach in a post-pandemic world. Natural Language Processing

Most organisations often implement self-service systems, such as bots that come with multi-language optimized NLP to help solve customer problems.

Data scientists of the future must understand NLP and master it enough to help companies develop automated solutions for a better post-COVID outcome.

#3: Computer Vision

Computer vision is an artificial intelligence field which trains computers to interpret and comprehend the visual world. It uses digital images from cameras and videos as well as deep learning models to recognise and distinguish objects correctly. With the help of algorithms, computer vision is also integrated to follow up with a programmed response. In current scenarios, computer vision has proved helpful in containing the outbreak and regulating quarantines and social distancing in cities across the world. In the future, where maintaining distance might become the norm, data scientists specializing in computer vision will automatically become more hire able.

#4: Data Storytelling

With data analytics becoming a prime concern for companies across industries, the need for good data storytelling has increased. The benefit of data analysis is not just in the evidence it provides but also in how it is made meaningful and impactful. Gripping storytelling makes it easier for non-data-scientist stakeholders to understand the value of the information and the possibilities it poses.

Data presented as contextual stories, rather than isolated data points, makes individuals more likely to understand the impact, decipher patterns and make more informed decisions.

In turn, as data storytelling would help business leaders with powerful insights, it would help them better prepare for the post-pandemic world’s opportunities.

 

#5: Explainable AI

Considering that AI has reached into nearly every area of human life, companies must be able to trust computers and their decisions. This is where the need for explainable AI emerges. Until now, companies build and sourced AI models that predicted accurate insights from large data dumps. In a post-pandemic world, they may well shift to models that also provide explanations for predictions. Explainable AI is a step forward in reducing the mistrust in non-human workflows. It makes AI systems more transparent and much fairer and all-inclusive than they were earlier.

Conclusion

Advanced data science skills are crucial to the cause of innovation and growth. Advanced upskilling is an integral step for data scientists looking to become more than relevant in the coming years.

Welcome to the Data Science Club of Imarticus Learning!

Posted on by Imarticus Learning

Imarticus Learning is among the top online education providers in India. After its data science course helped many data science aspirants to build a successful career in the industry, it has now come with a new campaign i.e. the ‘Data Science Club’. This club will aim at addressing the shortage of data scientists in India. It will also help in unifying data science aspirants from all over the country & giving them a chance to interact.

Data Science CourseYou can bring the data science club to your college/university with just a simple process. They already have registered 30 colleges from locations like Delhi, Tamil Nadu, and Karnataka.

The registration process is open & you can experience a whole new aspect of data science. One can also join the data science community of Imarticus on various social media platforms.

Mission & Vision of the Data Science Club

  • To promote students across India to build a successful career in data science.
  • To address the talent gap in the data science industry & shortage of skilled data scientists in India.
  • To facilitate the exchange of ideas & information relating to data science between club members across PAN India.
  • To provide industry-oriented learning of data science involving technological advancements & tools used in the industry.

Registration Process

Generally, most of the colleges don’t even have a data science club. You could be the first to introduce a data science club at your college/university. You can visit the Imarticus website and can easily register your college/university for the data science club. You will be required to fill a google form asking for a few details like college name, address, department, designation, email address, etc. The Imarticus panel will get back to you and will inform you about further proceedings.

Benefits of Being a Club Member

This data science club will facilitate its members from various colleges across India in understanding the importance of data science. It aims at motivating aspirants for building a successful career in data science and bridging the talent gap in the current data science industry. The benefits of joining the data science club of Imarticus are as follows:

  • Students of member colleges can attend any event/competition under the data science club for free.
  • You will get to attend lectures or webinars from industry experts/professionals.
  • The members of the club will get to test themselves by participating in the national level hackathon.
  • You will get to attend data science workshops under this club. You will also get a certification from Imarticus Learning for being a part of the data science club.
  • The members of the club will also undergo the faculty development programme.
  • Eligible members/students of the club will also get full placement support from Imarticus.
  • You will get to know about the industry practices & trends by being a member of this club. You will also get to know about the right career roadmap in the data science industry.

If you want to make a transition from data science aspirant to an expert, you have to grab this wonderful opportunity which will bring you closer to the data science community in India. One can also opt for the data science course provided by Imarticus Learning to know about the data science aspects in detail.

Register for the data science club now!

Data Literacy Is Very Much a Life Skill– Here Are 4 Reasons Why?

Posted on by Imarticus Learning

The world is no stranger to data; in fact, in recent times, the world has found itself being bombarded by more facts and statistics than ever before. At quite the same speed, people have also been faced with fake facts, viral social media forwards with little to no truth.

Being data literate has moved from being a niche requirement to being a life skill that allows people to distinguish between fact and fiction. Data literacy is a way of exploring and understanding statistics in a manner that provides meaning and insight.

This meaning isn’t relegated only a data science career or to businesses looking for an edge over competitors. It applies to society and its interconnected systems as a whole.

To drive the point home, here are a few advantages that data literacy offers when looked at as a life skill:

Recognising the Sources of Data

Data is everywhere, especially in a world where nearly everything is digital and produces and consumes more data. There are many different ways in which data exists, including graphs, images, text, speech, video, audio and more. Recognising the different sources of data is the first step towards working with data. The sources, formats and types all have a role to play in determining the use (and potential misuse) of data, which in turn drives data literacy.

Acknowledging the Self as a Consumer and Producer of Data

The messages you send, images you post and likes you leave on social media are examples of data. So are the transactions you make and the searches you conduct on search engines such as Google and Bing. Today, nearly every single person in the world is a data producer; those sources of data are vital to value-generating processes across industries and markets.

Similarly, people are daily consumers of data even if they don’t perceive it as that. The COVID19 pandemic has brought this into the light even further– front page statistics are at the back of everyone’s mind, as are the names of containment zones and the best practices for sanitisation.

Recognize Biases and Fallacies

Data literacy gives the people more agency to call out those producing statistical data that is biased, twisted or outright incorrect. As citizens, consumers and valued members of a society, it is imperative that every individual is able to identify false promises or glossed-over issues that allow wrong-doers to continue as they were.

Data ScienceData literacy gives people the power and the evidential backing to call out those intentionally or unintentionally propagating mistruths and fallacies through awry statistics. This way, data literacy plays a pivotal part in politics, economics and ethics of a society, indeed of the world.

Improves Data Storytelling

Instead of data points presented on their own, data that is presented as descriptive stories make individuals more likely to understand the effect, decipher trends and make more educated decisions. While data storytelling is imperative to learn for those taking a data science course, it is just as important for members of all other fields to better present their arguments such that they catch eyes.

Data has never been a strictly academic factor; however, it has often been painted as complicated, invasive or unnecessary to penetrate everyday lives. Data storytelling ensures that data is taken even further out of that box and presented as actionable insights to even the average Joe Bloggs.

Conclusion

The focus on data science and literacy shouldn’t just be restricted to mathematics and algorithms but everyday applications of data in daily lives. Data understanding allows people all over the world to take more control of what they’re producing and consuming. Data fluency and literacy is achievable by all.

What Are the Career Options after Graduation?

Posted on by Imarticus Learning

Once you have completed your graduation, it is time to build a successful career that is also very rewarding in a preferred industry. One can choose a traditional career after graduation like civil engineering services, medical, etc., or can opt for trending and new-age jobs that are in high demand, based on their academic background and interest.

 

For example, the global data science industry is predicted to grow with a CAGR of 26.9% by 2027. You can choose data science courses to build a successful career as a data scientist. Read on to know some of the best rewarding and trending career options after graduation. 

 

Investment banking 

 

Investment banking is concerned with financial advisory services and raising capital for clients. As an investment banker, you may work with a corporate or a governmental organization. Investment bankers act as a mediator between the client and shareholders/investors.

In the investment banking sector, you can start your career as an analyst and will have to work on databases and visualizations. After a few years as an analyst in the investment banking sector, you can upscale to become an associate. 

Financial Online classes 

If you have completed your graduation in finance, economics, or mathematics, it is a good choice to join the investment banking industry.

There are many online courses for investment banking that can help you hone your skills. Imarticus Learning is a reputed source that can offer you industry-oriented courses for investment banking. MBA investment banking courses are also offered by Imarticus Learning.

 

Data science 

 

Firms are preferring candidates that have done a data analytics course over other candidates. With more and more businesses going online, the demand for data scientists is more than ever. If you have completed your computer science engineering with a specialization in data science, this is the right time to join the industry. A degree in other streams like statistics, applied mathematics, economics, etc., can also help you in getting into the data science industry. One can opt for an online data analytics course to know about the industry processes. 

 

Imarticus will offer you data science courses in India led by industry experts. It provides data science courses in India for professionals as well as for recent graduates. Not only will you learn the basic of data analytics, but will also receive placement support through Imarticus Learning’s courses. You can opt for various job roles in the data science industry like data analyst, data engineer, marketing analyst, etc.

 

Digital marketing 

 

Consumers have shifted from traditional TV sets to online platforms and, firms need reliable digital marketers to engage with them. There are not many institutions/colleges that offer a classroom course for digital marketing. How to learn digital marketing online if there are no classroom courses?

 

Financial Analysis courseWell, Imarticus provides the best digital marketing courses in India without compromising on the learning experience. You do not have to search for ‘how to learn digital marketing online’ as Imarticus offers a PG program and a pro-degree in digital marketing.


Digital marketing is a vast industry and, you can choose from various fields like mobile marketing, content creation, web design, SEO, SEM, social media management, and many more. 

 

Machine learning 

 

Machine learning is another new-age technology that has a successful future. You can opt for an online course in machine learning and can learn about the key aspects of this field. The machine learning industry has various job roles like machine learning engineer, data scientist, NLP scientist, and many more. 

 

Conclusion 

 

You can find data science courses or investment banking courses via Imarticus that can help you get your dream job. They will also offer the best digital marketing course in India with industry-oriented training. You can do a certification course and can straightway start working after graduation. Choose the right career path after graduation with Imarticus Learning!

 

Preparing for your data science interview: Common R programming, SQL and Tableau questions

Posted on by Imarticus Learning

Preparing for your data science interview: Common R programming, SQL and Tableau questions

This data science interview questions blog includes the most frequently asked data science questions. Here is the list of top R programming, SQL and Tableau questions.

R Programming Interview Questions

R finds application in various use cases, from statistical analysis to predictive modelling, data visualisation and data manipulation. Facebook, Twitter and Google use R-programming training to process the huge amount of data they collect.

Which are the R packages used for data imputation?

Missing data is a challenging problem to deal with. In such cases, you can impute the lost values with plausible values. Amelia, Hmisc, missForest, Mice and mi are the data imputation packages used by R. In R, missing values are represented by NA, which should be in capital letters. 

Define clustering. Explain how hierarchical clustering is different from K-means clustering.

A cluster, just like the literal meaning of the word, is a group of similar objects. K denotes the number of centroids needed in a data set. While performing data mining, k selects random centroids and optimises the positions through iterative calculations.

The optimisation process stops when the desired number of repetitive calculations have taken place or when the centroids stabilise after successful clustering. Hierarchical clustering starts by considering every single observation in the data as a cluster.  Then it works to discover two closely placed clusters and merges them.  This process continues until all the clusters merge to form just a single cluster. 

SQL Interview Questions

If you have completed your SQL training, the following questions will give you a taste of the technical questions you may face during the interview.

What is the difference between MySQL and SQL?

Standard Query Language (SQL) is an English-based query language, while MySQL is used for database management.

What do you mean by DBMS, and how many types of DBMS are there?

DBMS or the Database Management System is a software set that interacts with the user and the database to analyse the available data. Thus, it allows the user to access the data presented in different forms – images, strings, or numbers – modify them, retrieve them and even delete them.

There are two types of DBMS:

Relational: The data is placed in some relations (tables).

Non-Relational: Random data that are not placed in any relations or attributes.

Tableau Interview Questions

Tableau is becoming popular among the leading business houses. If you have just completed your Tableau training, then the interview questions listed below could be good examples.

What is Tableau? How is Tableau different from the traditional BI tools?

Tableau is a business intelligence software connecting users to their respective data. It also helps develop and visualise interactive dashboards and facilitates dashboard sharing. Traditional BI tools work on an old data architecture supported by complex technologies. Tableau is fast and dynamic and is supported by advanced technology. It supports in-memory computing. ‘Measures’ denote the measurable values of data. These values are stored in specific tables, and each dimension is associated with a specific key. Dimensions are the attributes that define the characteristics of data. For instance, a dimension table with a product key reference can be associated with attributes such as product name, colour, size, description, etc.

The above questions are examples to help you get a feel of the technical questions generally asked during the interviews.

15 Reliable Sources to Master Data Science

Posted on by Imarticus Learning

15 Reliable Sources to Master Data Science

Data Science is growing at a rapid pace and businesses have been dynamically benefitting from this. A lot of Data Science Courses are available at the Imarticus Learning Data Science Training Center. No doubt, the insights and knowledge of data science have helped business emerge a winner with better knowledge and insights available at their fingertips. Have a look at these 15 important blog resources with the highest number of followers if you are willing to understand and learn data science. These blogs have rich data science resources and won’t let you miss you anything in the world of data science.

  1. Reddit – It’s an American social news aggregation, web content rating and discussion website for everyone who loves to share content and satisfy their curiosity. The registered members at Reddit can submit content such as text posts or direct links and get opinions on the same. It’s a hugely popular website where everyone can participate because it’s simple and easy.

Frequency — About 84 posts per week

Facebook Fans: 1,108,745

Twitter Followers: 511K

2. Google News – Comprehensive and most dynamic up-to-date news coverage, aggregated from all over the world by google news. It’s a popular medium throughout the world since Google has become a most reliable name everywhere. It’s a reliable source of Data Science information where everything related to it will be at your fingertips.

Frequency — About 21 posts per week

Facebook Fans: n/a

Twitter Followers: 214K

3. Data Science Central – Now this is a platform where every kind of information is available in one place. It wouldn’t be wrong if we say that it’s the industry’s online resource for big data practitioners. And it’s damn popular among the practitioners. From analytics to data integration to visualisation, data science centre provides a community experience.

Frequency — About 24 posts per week

Facebook Fans: 1,013

Twitter Followers: 100K

4. KDnuggets I Data Science, Business Analytics, Big Data and Data Mining – Now, if you are looking for the most interesting and updated blogs on day to day evolution of the Big Data, then this is the place to be. Here, one can find the most interesting stuff on analytics, big data, data science, data mining and machine learning, not necessarily in that order.

Frequency — About 34 posts per week

Facebook Fans: 21,860

Twitter Followers: 96K

  • Kaggle I Data Science News – No Free Hunch – A competitive platform where companies and researchers post data while statisticians and data miners compete with each other to produce the best models for predicting and describing the data. It’s a popular platform where professionals compete with each other to come up with the best ideas that they have.

Frequency — About one post per month

Facebook Fans: 35,137

Twitter Followers: 89.1K

    • Revolution Analytics – An exclusive blog dedicated to the news and information of interest to the members of the community, who are deeply interested in analytics and relation disciplines. The blog is updated every US workday, with contributions from various authors.

Frequency — About six posts per week

Facebook Fans: n/a

Twitter Followers: 25.9K

  •  Data Science for Social Good – This social good data science does the work of training data scientists to handle the problems that matter. It effectively trains the data scientists to work on data mining, machine learning and big data.

Frequency — About one post per month

Facebook Fans: n/a

Twitter Followers: 20.5K

  • Data Camp – You can learn to be a data scientist from the comfort of your home through your browser with Data Camp’s data science blog. It’s a comfortable way where total information is available in one place, and you can pick up the topics that you want to master.

Frequency — About seven post per month

Facebook Fans: 340,109

Twitter Followers: 16.2K

9. Codementor – This blog tells you about the latest trends in data science. Here you can read tutorials, posts and insights from top data science experts and developers. This will eventually help you gain knowledge from experienced experts.

Frequency -About one post per month

Facebook Fans: 12,587

Twitter Followers: 22,1K

10. Dataversity – Data Science News, Articles & Education – Here, learn about the latest business intelligence news and get a thorough business intelligence education. This blog is focused more on the business side and understanding it is necessary from the business point of view.

Frequency – About one post per week

Facebook Fans: 6,312

Twitter Followers: 17.4K

11. Data science @ Berkeley I Online Learning Blog – If you are interested in an online course called professional Master of Information and Data Science (MIDS) from UC Berkeley School of Information.

Frequency — About one post per month

Facebook Fans: 14,804

Twitter Followers: 10.2K

12. Data Plus Science – This blog helps people find real answers in data science, quickly and effectively. So it’s a swift means of knowledge generation.

Frequency — About two posts per month

Facebook Fans: 2,932

Twitter Followers: 25.1K

13. NYC Data Science Academy Blog – A one-stop destination for in-depth development tutorials and new technology announcements created by students, faculty and community contributors in the NYC DCA network.

Frequency — About five posts per week

Facebook Fans: 2,136

Twitter Followers: 17,1K

14. Data Science 101 – A blog on how to become a data scientist.

Frequency — About five posts per week

Facebook Fans: 15,925

Twitter Followers: 2,365

15. Data Science Dojo – It’s a revolutionary shift in data science learning. The course offers short-duration, in-person, hands-on training that will get the aspiring data scientists started with practical data science in just a week!

Frequency — About one post per month

Facebook Fans: 12,009

Twitter Followers: 4,664

The Data Science Resources will help you keep updated and gain new knowledge and insights in the ever-evolving field of data science. The data science course at the Data Science Learning Center – Imarticus Learning will ensure updated knowledge to candidates.

How Data Science Training Will Ensure Business Continuity In The Post-Covid World?

Posted on by Imarticus Learning

Lockdown restrictions have pushed us into recession along with a health crisis we have never seen before. Businesses are struggling to make ends meet, and many have had to take tough decisions like layoffs, frozen hiring, salary cuts, and more. The year has also shown us how vital digitalization is and why data science is the driving force in the post-COVID era.

One of the most prominent examples is remote work and how people have adapted to such a form of work. Businesses are accepting digital tools to optimize their functionality, and this is where data science comes in.

Digital tools not only help businesses measure ROI but also determines every small or big aspect like regulating spends, analyzing the long-term impact, and more. The change is making more companies include AI, VR, AR, and cybersecurity to transform their businesses.

Why is data science essential for business continuity?

Here are some of the reasons why adopting a data science course is crucial for current and aspiring businesses leaders:

Analyzing and forecasting

The pandemic gave us clarity of how uncertain times can be. Businesses can go through drastic changes due to such conditions unexpectedly.

With the help of data analytics, we can predict our future better. It helps us analyze risks and develop strategies to mitigate them.

Companies can use historical data from the current situation to estimate t

he trends of the future. Data science training can also give us cues of future obstacles and how to handle them efficiently.

Data Science course

Moreover, historical data can help plan different outcomes of businesses during an unfortunate phase.

Assessing resources for maximum utilization

While analyzing risks and mitigating them fast can prevent disrupting business processes, knowing the way to put resources to use during such times is also crucial.

Every company needs to imply analytic practices to get through critical times and understand the state of their business.

One example of this would be setting up an analytics team for finance. The process will help a business find how changes in the economy can or are affecting their business. Data assists in allocating resources and promotes effective decision-making.

Identify Opportunities

When you adopt data science, you can identify new opportunities for business continuity. The process of analyzing available data resources helps catch loopholes early and find new possibilities to overcome them.

Currently, most companies are aggregating COVID data and combining the same with employee data. It helps one understand better ways to support employees in this crisis. For example, updating a dashboard to check geographical data helps offices take preventive measures or recommend closedown. HR’s are using such data to determine if offices are safe to open or not.

Necessity of cybersecurity

As soon as you step into the data science career, you will know how critical cybersecurity is. It is the most vulnerable risk that any form of data can pose.

Much of this has been at stake since people have been working remotely. There is also an increase in cloud services, which need constant technical tracking, maintenance, and recovery.

Even when companies work remotely, they have to imply IT security to safeguard data exposure and threat. Data science and AI give us solutions to cyber threats and monitor network traffics more effectively across VPNs. It quickly detects points of breaches and infringement in real-time.

Helps in quick changes of services

E-commerce and retail industries use data science and AI to attract customers; both online and offline. Companies now leverage AI-powered solutions to get insights into changing consumer demands. Such data helps optimize the supply chain and minimize disruption.

Data Science CareerThere is a high usage of AI chatbots to get quick solutions to external factors. These chatbots communicate with customers, answer their questions, and record their responses. It is assumed that the usage of chatbots will multiply by 50 times compared to what it was before COVID.

Final thoughts

Business continuity is critical and crucial. More and more companies need to incorporate data science to make businesses effective and reliable. While it has been vital for a long time already, it will become non-negotiable in the post-COVID era. The above-listed reasons give you a brief insight into the bigger picture and why data science is the future of your business goals.

Data Scientists Are in Great Demand And Are At The forefront of The AI revolution.

Posted on by Imarticus Learning

Data scientists are in great demand due to the value they offer to Artificial Intelligence and Machine Learning. With the advent of automation and the increased focus on Artificial Intelligence, organizations and corporations are looking for skilled human assets who have expertise in this field.

In this article, we will cover how a Prodegree in Data Science from Imarticus can help a budding data scientist advance further in the field of AI and Machine Learning. Budding data scientists can utilize an extensive data science course like Prodegree by Imarticus to gain the necessary skills and knowledge that is needed to work with valuable projects and organizations.

Data Science CoursesWhat is Data Science?

Data science is a specialized field of computing and working with data, which promotes data-centric or data-backed business and IT solutions. Data science consists of fundamental methods, tools, and algorithms that use data analytics, data mining, sourcing data, creation of models to work with data, and the execution of IT processes or data models to provide business solutions or attain insights.

Data Science also powers analytical methods which allow individuals to use business analytics and predictive analytics to come to resolutions from the generated insights. Data scientists are also responsible for the process of importing data from various sources and cleaning the data to allow this data free of noise to be used in various applications.

What is Artificial Intelligence?

Artificial Intelligence is the ability of machines or systems, which allow them to take actions based on historical data and through learning on their own without any interference from humans. Artificial Intelligence uses Data Science and Machine Learning to create complex systems, which emulate how human intelligence works and responds to scenarios. Artificial Intelligence promotes automation and supports the idea of machines doing the work autonomously without any human intervention or biases.

This empowers a lot of platforms, machines, and services to provide automated services that save money for companies and allows us to give less effort by relying on rapid and efficient action taken by AI. 

For instance, AI is helping industries and factories by automating a lot of production and helping operations with AI-assisted analytics and suggestions. AI is highly appreciated even in the fields of marketing, advertising, finance, and business by making predictions to support companies in making data-backed business decisions. 

What is a Prodegree from Imarticus?

The AI and Machine Learning centric Data science Prodegree is designed by experts from this field to help future data scientists learn important data science concepts like Machine Learning and data mining, or algorithms and tools to assist in the process of building efficient models to gain valuable business insights and predictions backed by data.

The Data Science courses also offer various modules on business analytics and predictive analytics to provide analytical expertise to students. This kind of a planned data science course encourages individuals to get into this highly valuable field and learn the fundamentals required to build a great future centered on data science and AI.

A Prodegree from Imarticus helps budding developers and data scientists bag valuable job roles offered by reputed organizations like KPMG, Genpact, Infosys, and TCS.  

Data Science Certification CoursesThis course contains real projects, which will allow students to gain hands-on experience to tackle IT challenges and business problems. With this kind of well-planned course and study modules, one can truly get ahead in his or her career and discover new prospects. 

Conclusion

Working with AI is fun and interesting as well, and Imarticus is a great learning hub that promotes advanced data science and involves enrolled students in real-world AI projects. This further contributes to their skill development and exposure to this highly interesting field. AI has huge potential and a great future ahead, and this well-orchestrated course can certainly help in building your career in this field. 

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.