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Tag: data science career

The Impact of Data Science on Current Events and the World

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The Impact of Data Science on Current Events and the World

Data science remains one of the most lucrative and challenging career pathways for experts. Successful data professionals now grasp the traditional skills of analyzing massive quantities of data, data mining, and programming.

best data science courses in IndiaData scientists must control the complete spectrum of the data science life cycle and must be flexible and understandable so as to optimize returns at each stage of the process to detect meaningful intelligence for their organizations.

You can also contribute to this surge by doing proper data science online training.

Skills that data scientists must have:

According to a study by IBM, a data scientist must be able to perform the following tasks:

  • Use math, statistics, and a scientific approach
  • Use a variety of tools and strategies for data assessment and preparation – for example, SQL, data mining, and data integration methods
  • Data extraction through predictive analysis and artificial intelligence (AI), including in-depth learning and models
  • Write apps for data processing and calculating automation
  • Tell — and illustrate — stories that show the importance of findings at every level of technical knowledge and comprehension to decision-makers and stakeholders
  • Explain the use of these results for business challenges

The number of job opportunities in the industry is increasing by more than 5% a year, according to an IBM study.

What is the role of data science in the current scenario?

  • Inadequacies can cost companies up to 30% of their income. The data science course allows you to follow a number of business indicators, including manufacturing times, delivery expenses, productivity for employees, and more, and suggest improvements.

It is feasible to reduce total expenses and increase return on investment by limiting waste of resources.

  • Data science enables companies to consistently refine their products and services to suit a changing market by assuring a ready-flow of practical insight into customer psychology, behavior, and satisfaction.

Data on clients can be accessed from a range of sources, and information mining from third-party platforms such as social media, search engines, and data sets.

  • One of the most intriguing aspects of data science is testing. New, inventive options are compared with current features and often produce surprising outcomes.

Companies can create incremental revenue gains through consistent, long-term testing. Data scientists are in charge of conducting thorough tests to ensure the effectiveness of marketing campaigns, product launches, job satisfaction, website optimization, et al.

  • Data science is used in the current scenario to improve a company’s safeguarding of sensitive information. Banks, for example, deploy sophisticated machine-learning algorithms for detecting fraud based on variations from a user’s normal financial activities. Because of the vast volume of data created every day, these algorithms can detect fraud faster and more accurately than humans.

Algorithms can be utilized to protect sensitive information via encryption.  By ensuring data privacy you can help guarantee that your organization does not misuse or reveal sensitive information about its consumers, such as credit card numbers, medical information, or Social Security numbers.

  • Data collection and analysis on a bigger scale can help you spot developing trends in your market. Purchase information, stars and influencers, and search engine searches can all be utilized to discover the things people want.

Conclusion

It can be concluded that a career as a data scientist is an extremely lucrative option in the current world as data science is gradually taking over the entire world. The data science pro degree can help you understand the intricacies of this field and learn data science effectively.

If you are a recent graduate and want to learn data science, a post-graduate program in data analytics and machine learning can help you learn better from live faculty and bag guaranteed jobs in the future. Proper data science online training can help the audience come here.

How To Create An Image Dataset and Labelling By Web Scraping?

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Every data science project starts with data. We need to acquire a huge amount of data to train our machine learning models. There are various ways to collect data. Surfing websites and downloading the structured datasets present on them is one of the most common methods for data collection. But there are times when this data is not enough. Certain problem statement datasets are not easily available on the web. And to deal with this situation, we need to create our own datasets.

In this article, we will discuss the method of creating a custom image dataset and labeling it using Python. First, let us talk about acquiring images through web scraping.

Web Scrapping

Web Scraping refers to the process of data scraping from websites. It surfs the world wide web and stores the extracted data in the system. Beautifulsoup is one of the most popular Python libraries for image scraping. The requests library requests the essential webpage.

How To:

When we go to the developer tool by clicking on a picture on the webpage, there displays a format starting with images.pexel.com/photos after which a number is listed, which is unique for every photo. One can get a similar image using the regex (regular expression).

Using this method, our images get scrapped. We can also print the links if we want to see those links and make a directory of them. After this, we will download the images. Once the process is complete, you can see the scrapped images through the specified path where images are stored.

Labeling

After scrapping and storing the images, we need to classify them through labeling. Labeling software is used for this purpose. It is a pip installable annotation tool. It provides two annotations YOLO and PASCAL VOC.

How To:

You can open the labeling software using the command: (base) C:\Users\Jayita\labeling

There will be specified options on the left-hand side of the screen. On the right-hand side, you will see the image file information. Select ‘Open dir’ to see all images. Press ‘a’ to view the previous image and ‘d’ to view the next image.

To get the annotations, draw a rectangular box and press ‘w’. A window will pop up to store the image’s class name. Once you are done with drawing the box and labeling the image, it’s time to save it. To generate the annotations, you need to store the image in PASCAL VOC or YOLO format.

One can learn about this in detail in a data science course. Web scrapping and labeling is not a hard process once you understand the basics of it. You need to be careful while scrapping a website and obey the rules so that you do not harm the website you are scrapping. Take time to consider your requirements and research accordingly to find a suitable website for this process. For example, if you plan to develop a model for fashion, then online shopping websites should be on your scrapping list.

Learning web scraping and labeling is important if you want to build a data science career in the future. It will provide you with a deep understanding of image datasets. You can use these techniques to increase the data in situations where available data for a project is less. You can apply this process to multiple classes if they share the same folder and get the desired results.

What is The Salary Of A Data Scientist?

Posted on by Imarticus Learning

One of the biggest drivers of data science as a career in India is its earning ability. In India alone, the average annual pay of a data scientist (analyst) is upwards of INR 8 lakh. This can definitely vary depending upon the location, the type of the job, and the employer.

While you can improve the chances of earning a higher salary by signing up for a data science course, it is a good idea to look at how the remuneration looks like through the cycle of a data science career.

Hierarchy of Salaries of a Data Scientist

This is a quick look at how your salary will grow as you gain more experience and get trained for a data science career.

  • Beginner – An entry-level data scientist from a reputed institution can look at earning upwards of INR 5 lakh a year. This is a better salary compared to those that engineering graduates receive in India. Here, as a beginner, your goal should be to gain more hands-on experience in your specific field to demand a better salary. For example, a data science training course can improve your chances by 2x.
  • Analyst With 1-4 Years of Experience – Although there is a possibility that your data science salary can touch the INR 10 lakh mark in this period, it will depend on your projects and overall work experience. This is a good time to shift from your existing employer and look at greener pastures.
  • Professional – This is when you achieve more than 10 years of experience. Here you can dictate a salary in the range of INR 15 lakhs to INR 25 lakhs. With several credentials and projects in your name, you can really carve out a prosperous life for yourself and your family. This is also where you can think of spending some time on research.

Just remember that when you start off, make sure you are well trained for a data science career. As a fresher, your academic qualifications will play a vital role during interviews. A data science training course that will help you choose a specialty and make it a focal point is the way to go.

Promotions and Salary Hikes in Data Science

As with every other professional field, a promotion in a data science career is entirely dependent on performance. However, a salary hike of 30% to 50% can be expected. Again, this will be influenced by how well you perform in your role, but given that skilled data scientists are hard to find in India, you can be optimistic.

In any case, if you don’t feel you are professionally growing in your current company, you can always look at upskilling or switching jobs. A data science training course can make you a potential candidate then.

As noted above, getting trained for a data science career can boost your earning and promotion capabilities. While data scientist intrinsically is a well-paying job, a training course in the field will do no harm.

The Omnipresent Data Science & its Importance as a Career!

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Data science is a newly emerging field, which has been gaining momentum in recent years. It can be defined as data exploration and data modeling to extract insights from data to help people make decisions. Data science overcomes data analysts’ many challenges, such as data scarcity, data sparsity, and model uncertainty.

Importance of Data Science in Today’s Era:

The importance of data science in today’s world cannot be overemphasized because it provides solutions for complex problems faced by organizations. Data Science is a recent field, which also has been the subject of study for data experts. Data Science captures data in various formats from different sources such as sensors, social media networks, or video games. In data science, data is analyzed to extract hidden patterns and generate insights.

Data science applies statistical thinking, data analysis, machine learning, data mining, and pattern recognition techniques to identify patterns in data that can inform decisions or solve problems.

Why build a career in Data Science:

Data is the fuel for all businesses.

All business strategies & decisions are data-driven due to the availability of massive data. We use lots of apps which in turn generate loads of data. There is a different kind of data-generating to varying speeds from multiple sources, increasing the data volume.

Data Science skills are high in demand with excellent salaries 

Data Science is an in-demand skill in almost every industry. The number of entry-level jobs is increasing & freshers are being hired in huge numbers. Professionals from the sector are actively looking to transition to Data Science with a bright future as employers prioritize hiring skilled and experienced candidates.

Anyone can acquire Data Science expertise.

best data science courses with placement in IndiaData Scientists can emerge from any field and build Data Science expertise regardless of their backgrounds. Students from any field of educational experience can also build a career in Data Science.

Wide range of Opportunities

Skilled professionals have a wide variety of opportunities waiting for them in Data Science.

Data Science is multidisciplinary, with disciplines like Data Mining, Databases, Machine Learning, Visualizations & Neurocomputing. Apart from the technical skills, there are broader opportunities in the many business domains.

Become Data Scientist with Data Science Courses from Imarticus Learning:

You need to have a few essential expertise to start building a career in Data Science. Good knowledge of technology & programming languages is an additional prerequisite. The most in-demand technologies for Data Science are R, Python, SQL, Hadoop, Java, Spark, Tableau, AWS, C++, SAS, Scala, Hive, Excel, and Azure.

The Data Science Prodegree offered by Imarticus Learning has been designed to develop an understanding of Data Science concepts & build robust models to generate valuable business insights. It is a knowledge-packed professional learning experience that includes a cutting-edge curriculum, real business projects and case studies, and tech-enabled education.

Once you begin the Data Science Prodegree course, Imarticus Learning’s Career Assistance Service module is at your disposal. They conduct detailed career development sessions that help you improve your job profile and ace technical interviews.

Their extensive network of private job openings through our 400+ partnerships pan-India provides students with unfettered access to career opportunities within the Data Science & Analytics domain.

This Prodegree course goes a long way towards helping you unlock lucrative career opportunities in the coveted fields of Data Science and Business Analytics.

 

Related Articles:

Why Is Data Science A Good Career In 2021
How Data Science Training will ensure business continuity in the post covid world
How an Artificial intelligence and Data Science work for an online conference

 

Explore the Archives and Discover How Dramatically the Field of Data Science has grown in the Past Decade

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Data science has grown to be a data-intensive field in the past decade. In data science, data is king. The data you collect and analyze can help you make decisions to improve your business or solve problems that seem impossible to tackle.

Data scientists are in demand as data becomes more prevalent, data storage gets cheaper, data analysis tools become more sophisticated, and data-driven decisions grow in importance. In this blog post, we explore how data science has grown over the past decade and why data science should be your career choice!

How dramatically has the field of data science grown in the past decade?

The data science industry has grown drastically in the past decade. It is projected to grow by 48% between 2016 and 2026! That’s a huge number – especially when you consider how much data there already was in 2006. This growth has led to increasing demand for data scientists who understand data visualization best practices as well as data science best practices.

Here are some key highlights into the boom of the data science industry:

– Data science is growing at a rate of 13% per year, which is faster than the average growth rate in other fields. This data was from 2017, and it’s only been accelerating since then

– Data scientists are some of the highest-paid professionals around, with an annual median salary of $106,500 according to Glassdoor, as well as self-reported salaries on data science forums

– Data science is a highly valuable skill in the modern economy, which means data scientists are not only making good money but also have jobs that can’t be automated

– As more companies become data-driven and incorporate data into their decision-making processes, it creates new opportunities for employment.

Why is data science such an exciting career choice?

Data science is such an exciting career choice because data scientists are in high demand, and data analysis can be applied to almost any industry. Data scientists are in high demand because companies need individuals who can analyze data and provide insights based on their findings.

Data scientists must be able to work with large amounts of data, often from different sources, then use that information to create business strategies or solve problems by designing algorithms that process data sets in a way that improves efficiency or effectiveness. Individuals interested in this field should consider taking data science courses with placement.

Learning data science enables students to have an in-depth understanding of data science and data analysis, as well as the tools that data scientists use. It is also a very practical course when it comes to finding employment upon graduation as it enables students to practically use the skills that they have learned in their course.

Gain career excellence as a data scientist with Imarticus Learning!

Imarticus Learning is a leading institute in India offering a data scientist certification with placements. The demand for data science specialists is increasing rapidly, and many enterprises are hiring data scientists to manage their internal operations like finance, marketing, etc., or to gain new insights from the data collected.

Data Science online trainingThis data science online training is designed by industry experts that enable you with the required skills and knowledge for a data-driven career.

For more insight, connect with us through the Live Chat Support system or visit any of our training centers based in – Chennai, Mumbai, Thane, Pune, Bengaluru Hyderabad, Delhi, and Gurgaon

Here Is How You Can Become A Future-Ready Data Analytics Professional!

Posted on by Imarticus Learning

Employers of all kinds are fast recognizing data science as one of the most in-demand skills. Businesses, government agencies, medical institutions, and charitable groups are all hiring data scientists at a rapid pace.

Do you want to enter the workforce or improve your data science skills? Now that data scientists are in high demand; there are plenty of opportunities to study the craft.

Enroll In Any Imarticus Online Data Science Courses

Online learning is the most cost-effective and trustworthy method of instruction. Before you enroll in a course, verify that it covers the topics you’re interested in and that it is appropriate for your ability level.

Data analytics courseIndustry specialists together created the Imarticus postgraduate data analytics certification program to help you understand real-world Data Science applications from the ground up and build powerful models to deliver relevant business insights and predictions.

This program is for recent graduates and early-career professionals interested in pursuing a data science and analytics career, the most in-demand job skill. With this data science course with a job assurance guarantee, you may take a considerable step forward in your career.

 

How Do I Register For The Data Analytics Course?

This data analytics certification is just what you need if you’re an inquisitive spirit who wants to dominate the digital business by studying the latest and most in-demand data science abilities.

Once you have completed your counseling session and understood this course is right for you; you can then proceed to apply for the data science course in three easy steps:

  • Enquire
  • Enlist in a counseling session
  • Enroll

What Is the Program’s Duration?

The PG Program in Data Analytics is a full-time program that lasts six months (on weekdays). Each week, you will have 4-hour-long lessons from Monday through Friday.

What Is a Hackathon? How Does It Assist?

While enrolled in an Imarticus course, you will be assigned a Course Guide/Mentor who will assist you academically and advise you on the best career route for you.

Your Course Guide will inspire you to finish assignments, attend classes, and get the most out of their PG program in data science with placement.

Moreover, your Course Guide or Mentor will also be playing a role in the following activities:

  • Keep an eye on your grades and academic progress.
  • Provide you with insider information to help you land the job of your dreams.
  • Encourage you to do better on projects and homework in class.
  • Make lasting friendships that will help you get through the course and beyond.

The hackathons at Imarticus Learning allow you to compete against a large number of students and stand out from the pack. They are regarded for instilling critical thinking skills in Data Analytics and pushing them to achieve at a higher level.

Take Away

It takes more than being able to evaluate large amounts of data to become a Data Analytics Professional.

You must also be familiar with the organization’s business processes and identify ways in which your participation will impact, which is now available with Imarticus online data science courses.

#ImarticusBlogLikeAPro – Write about your favourite Tech topic and take home rewards worth INR 10,000

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Love Data Science, Machine Learning, or Data Engineering? Here is your chance to express your thoughts on the field of technology of your choice. While professionals can discuss the various tools, techniques, and best practices involved with their daily work, business leaders can speak of industry experience. Candidates are free to write about the current state of the discipline as well as the future potential of the field.

One can even choose to write about the effects of certain technology and the incredible benefits society and businesses enjoy due to these fields.

data science and analytics blogging contestThe Imarticus Blogger of the Year encourages budding bloggers or younger candidates to participate and write about the topic of their choice as well. You can participate in this Data Analytics and Data Science blogging contest by applying here.

What is Imarticus Blogger of the Year?

The main focus behind this contest is for providing enthusiasts with the opportunity to express what they wish to share about the field of their interest. Blogs can also speak about research, new technology, and interesting case studies of all the relevant fields.

Fundamentally, Imarticus has come up with this contest to provide some exposure to bloggers and professionals who are involved with Data Science and other disciplines that work with data. Candidates are also authorized to discuss core concepts such as Deep Learning or talk about diverse fields such as Data Analytics.

The Submission and Selection Process

The submission process followed by the selection process for this Data Science blogging contest can be divided into 6 simple stages. Let’s understand what exactly you must do in order to successfully submit your blog and how exactly the winners of the contest are decided.

Stage 1: First, participants are required to register themselves and opt-in for the contest. Then, you must write a high-quality blog related to the authorized topics or fields and then send the piece over to blog@imarticus.com before the 31st of August. Submissions close on the 31st of August, 2021 at 11:59 PM IST.

Stage 2: During this stage, the editorial panel will be evaluating the blog based on its creativity, originality, and depth of the subject matter.

Stage 3: Here, every blog that has met the minimum requirements and passed Imarticus’s quality standards shall be uploaded on the platform (blog.imarticus.org) by the 11th of September this year. The writers will be credited for their blogs and the links for their respective blogs will be shared with them by Imarticus.

Stage 4: In this stage, writers are recommended to share their blogs on their personal social media accounts with the mandatory hashtags. Writers are also advised to share their pieces with friends and family in order to gain more traction.

Stage 5: At this point, all the blogs will be evaluated on the basis of audience engagement and the score provided by the editorial panel. 25 of the best blogs shall be shortlisted to be promoted by Imarticus on all social media platforms till the 30th of October, 2021.

Stage 6: This is the final stage where the blog with the highest amount of cumulative shall be selected as the winner of the contest.

Conclusion

The winner is crowned the Imarticus Blogger of the Year and handed down a gift voucher of 10,000 rupees. Imarticus Learning is also offering gift vouchers of up to 7500 rupees for the other top 10 bloggers. Not just that, participants who rank within the top 20 get the opportunity to be featured in Imarticus’s hall of fame. So, why wait? Register yourself and start blogging from today.

Why is Data Science a Good Career in 2021?

Posted on by Imarticus Learning

Being a data scientist is only growing in demand over 2021 and is showing no signs of slowing down. It is estimated that around 11.5 million jobs in data science will be created by 2026 in the US. But, why is that the case? This article seeks to answer that very question.

  1. Use in Companies

Due to the ever-growing base of Big Data, every company is looking to utilize all available information to have a massive competitive edge.

Data Science CareerA data science career under a company is a frontier-field that finds new ways to better one’s products and services after utilizing past stores of information and/or case studies.

This work hence involves finding various avenues of data and finding new ways of processing and drawing conclusions from that data.

  1. Use in Studies

Being a form of study that is still in its nascent stages, a data science career may not be motivated by finding profit for a certain industry but also increasing the ambit of human knowledge. One might also work on designing a data science course from others to learn from.

  1. Proper Pathway

While being a data scientist requires a lot of work, the exact path to such a goal has been charted time and time again. There is a great degree of resources available now to become proficient in various aspects related to the data sciences. Other than doing a basic data science course, one may partake in learning various related fields like programming and big data processing from various online platforms (e.g. Imarticus learning).

  1. Demand Doesn’t Slack

The demands for data sciences have also increased due to the new atmosphere generated by Covid-19 and the near-worldwide lockdown because of it.

Data Science Roles

It has been studied that 50% of the data science organization showed no slow-down and have seen growth. This requires one to find new ways to collect data, as well as use that data to aid in multiple projects. These may involve helping set up new modes of businesses, and helping older businesses change their plans to suit their new circumstances. Furthermore, it may aid in improving a range of services on a global level.

  1. Diverse Skillsets

It is easy to switch into being a data scientist incorporating your present skillset. Whatever your present occupations and/or interests may be, it can lend an avenue to collecting data on that specific domain.

Data Science TrainingThey can complement these skills with learning standard data sciences’ skills. Former data analysts may also expand on their present sphere of knowledge to become data scientists, with relative ease.

  1. An Expanding Field

In 2021, a lot of past data science models are up to open-source scrutiny. Hence, even in this new field of human knowledge, one can have a sizable understanding of multiple avenues of collecting and processing data. Their entry into data sciences will work to expand on this field of knowledge.

In conclusion, one can see that it is indeed highly fruitful to be a data science in this present day and age. One can channel his/her present skillset into this occupation as well and aid a burgeoning field of human growth and knowledge.

Top 5 data scientists salaries by location in India!

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“Data is the new oil” – this quote by Mukesh Ambani perfectly captures the radical shift our world is going through in terms of data collection, processing, and utilization. Thus, in the current context, the job of a data scientist has become dearer to a major chunk of individuals who are actively looking to make radical strides in data science career opportunities.

This is even more prominent in a country like India where a big proportion of the population belongs to the tech-savvy young generation who are actively looking for Artificial Intelligence Trainings to earn decent salaries in the future.

Let us have a look at the top 5 locations in India in terms of salaries paid to data scientists and examine the reasons for the same:

  1. Bangalore – The capital of the state of Karnataka, as well as the start-up and IT capital of the country, has a huge base of young IT professionals working in some of the biggest IT companies of the world.

    This city has been nicknamed the Silicon Valley of India, after the Silicon Valley of the USA which is the biggest tech hub of the world. The average salary of a data scientist is highest in Banglore; around INR 10 lakhs p.a. and it also ranks number one in terms of data science job scope in the entire country.

  2. Chennai – After Bangalore, Chennai is the growing hub of outsourcing data jobs in the country. It has huge IT parks which provide immense opportunities to the emerging techies of the country. The average salary of a data scientist here is a little over INR 9.5 lakhs p.a.
  3. Mumbai – It is the financial capital of the country. Given the scope of IT and data analytics in finances, it is predicted that Mumbai may soon become the largest tech hub of India. Moreover, due to the sheer number of prominent business houses headquartered in this region, Mumbai has the potential to comprise the highest paying jobs for data scientists. Currently, the average salary is around INR 9.1 lakhs p.a.
  4. Hyderabad – Hyderabad is the capital city of the state of Andhra Pradesh and is the emerging hub of tech startups in the country. Big names in the global IT sector industries like Amazon and Google have invested heavily to build the tech infrastructure of this city. Hence, it is quickly emerging as an emerging market of data scientist jobs with an average salary of INR 8.5 lakh p.a.
  5. New Delhi – The capital of India is the fifth-largest city in terms of the average salary paid to data scientists. It has the highest concentration of data scientist talents which has made it a major hub for tech companies in India. The average salary of data scientists at New Delhi is around INR 8.3 lakhs p.a.

In conclusion, it can be said that India has one of the fastest-growing job markets for data scientists in the world. The recent boom of talented young professionals and the growth of BPO and KPOs have contributed to the development of this sector.

Top 5 Careers in Data Science You Need to Know About!

Posted on by Imarticus Learning

Data Science is a rapidly growing field with over 2.7 million data science and analytics job openings expectations in 2020 alone. The number of online users is increasing at a tremendous rate, and with it, the need for data science professionals is also increasing.

As per reports, 2.5 quintillions bytes of data are produced every single day. And there is a huge demand for professionals who can clean, monitor, visualize this data and obtain valuable insights from it to innovate Big Data solutions for technological advancements.

The field of data science is very wide and offers plenty of job opportunities for professionals. If you are interested in computers, maths, and data analysis and share a passion for technological discoveries, then Data Science is the perfect career for you. By enrolling in a data science course, you can become a qualified data science professional and help transform the world for the better.

What is Data Science?

Data Science is the science that helps in data-driven decision-making using methods of collecting, storing, computing, analyzing, and managing data of organizations. Every technology that we use today is based on data. Our online purchases, YouTube recommendations, Instagram feed, etc. are all examples of human-data interactions.

Data collection helps improve the user experience while surfing the internet. You might have noticed that while shopping on Amazon, the site recommends other useful products that can help you along with your original purchase. These recommendations are based on your previous purchase history, search history, and payment history. It also sends you a reminder for your habitual purchases like groceries, etc. They act as a trigger to make you purchase the product without being spammy.

In this way, Data Science professionals help both businesses and consumers. It is proven to increase a company’s profit revenue and helping customers spend less money on a purchase with strategic placements of ads of products at discounts. Thus, it creates a win-win situation for both the company and the customers leading to healthier economic development.

Benefits of Data Science

Data Science not only has commercial benefits but also improves the performance of multiple industries such as public health, food, farming, education, airlines. From its wearable trackers to monitor and improve patient’s health to accurately diagnosing diseases and finding cures, data science is contributing a lot to the healthcare sector.

Its image and voice recognition applications give you recommendations for tagging your friends in pictures on social media. With Google and Siri, you get the job done without the need to type on your smartphone. Data Science helps the airline industry by predicting flight delays, identifying weather, and helping in decision-making for airplane buying.

Data Science has also transformed the Education Sector with its features, including analytical evaluations of students, helping in decision-making for student admissions, etc. It has been very useful in lowering the dropout rate and increasing the engagement rate of students in schools.

Data Science course helps farmers with solutions on the right amount of seed planting, fertilizer, water, etc. It also predicts weather conditions that let farmers modify their harvesting plans accordingly.

The benefits of data science are countless. It is impacting almost every industry in one way or the other. It has become such an inherent part of our lives that we do not even recognize its presence. It is at the center of all the industries today. Building a career in Data Science is a wise option. It not only pays well but also lets you drive the transformation of the world towards a better version of itself.

There are a lot of in-demand data science careers these days. So, let us explore the top 5 data science careers that you can build a substantial career in.

Top 5 Data Science Careers

1. Data Scientist

Data Scientist is one of the most popular jobs worldwide. Data Scientists examine Big Data and perform cleaning and organizing of the data. They process a large amount of complex information and find patterns in the data that help them drive strategic decisions. Data Scientists are well-versed with Machine Learning algorithms.

The solutions discovered by Data Scientists are very important for companies for their business growth. These solutions also let companies have an edge over their competitors and achieve all their business goals. Data Scientist is a technical job and demands a variety of skills. The salaries in this career are among the highest-paid jobs.

Prerequisites for Data Scientist Job

  • Problem-solving skills
  • Coding Language
  • Data Visualization
  • Business Awareness
  • Machine Learning Algorithms

2. Machine Learning Engineer

Machine Learning Engineers create data funnels of the cleaned and organized data. They train a predictive model to help predict the target variable. Their developed models analyze the data trends in the future to help businesses make the right decisions.

The data used has a lot of dimensions to it. Machine learning algorithms make the tasks easy. These engineers test and analyze their models for the best possible outcomes. They are good with statistics, programming, and software engineering skills. In addition to training, they also do data analysis at times to better understand the datasets.

Prerequisites for Machine Learning Engineer Job

  • Programming
  • Data Modeling
  • Machine Learning Algorithms
  • Software Engineering & Systems Design

3.  Data Engineer

Data Engineers integrate data from various sources and perform batch processing on it. Every company needs the development and maintenance of its data pipelines. Data Engineers collect big data from various sources and then optimize this data as per the problem statements. They are responsible for writing queries and providing a streamlined flow of big data.

They create an interconnected data ecosystem that helps data scientists by making the information easily accessible to them. Their prime focus is on the system and hardware which assist in the analysis of the data. They deliver effective warehouse methods to the organization as well.

Prerequisites for Data Engineer Job

  • Machine Learning Algorithm
  • Coding
  • Data Warehousing
  • Database knowledge

4. Business Intelligence Developer

Though Business Intelligence (BI) Developer is more of a non-technical job, it is a big role to play in the successful implementation of data science solutions in the organization. Before going into the job responsibilities for this role, let us first understand: what is business intelligence? Business Intelligence is a combination of strategies and technologies that helps in the data analysis of an organization for business information.

BI Developers formulate and implement business policies created using the insights from data analysis done by the technical team. They act as a bridge between the technical and the non-technical team through their ability to understand the technical stuff and presenting that in a simple non-technical way to the clients. They have a good understanding of business. Using their deep understanding of data, they develop BI tools and applications that help the end-users comprehend the system.

Prerequisites for Business Intelligence Developer Job

  • Business Acumen
  • Data Warehousing
  • Business Intelligence Software Integration
  • Communication Skills
  • Problem Solving

5. Data Analyst

Data Analyst is another important career in the field of data science. Data Analysts are responsible for understanding, transforming, and manipulating the data to suit the needs of the company. They store the data of the different departments of the company. Data Analysts help companies to understand the reason behind the success or failure of their projects.

Their roles also involve web analytics and A/B testing analysis for businesses. The results of their analysis help companies understand the loopholes in their plans. They provide solutions to business problems and also assist in the decision-making processes. They are also an important link between the technical and other working departments of the company.

Prerequisites for Data Analyst Job

  • Critical Thinking
  • Machine Learning
  • Data Visualization
  • Communication
  • Process Modelling
  • Microsoft Excel

Data Science careers are in constant demand as businesses are quickly moving towards automation. Data Science professionals are needed in almost every field, be it government organizations or private firms. Owing to their high importance, the data science salary packages are also quite lucrative. The average salary range varies from job role to job role in this field. Nevertheless, a career in data science is among the highest paying careers for professionals.

If you are looking to break into the data science field, there are various ways to prepare yourself. One can join a data science course and gain the required knowledge and skill-set for making a career in this field. There are various certificate courses, degrees, and diplomas available these days, both online and offline that you can pursue. After gaining the required qualification and skill base, you can apply for fresher roles in this field.

Many companies are on the lookout to hire data science professionals. So, finding a job would not be that difficult. Once you gain some experience, you can also take on another career pathway in this field as most of the data science careers are interconnected and complementary to each other. To succeed in this field, you need to have a technical mindset, an eagerness to learn, and a passion to develop solutions to problems.