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Tag: Data science online training

The Omnipresent Data Science & its Importance as a Career!

Posted on by Imarticus Learning
Reading Time: 3 minutes

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

Posted on by Imarticus Learning
Reading Time: 3 minutes

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
Reading Time: 2 minutes

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

Posted on by Imarticus Learning
Reading Time: 3 minutes

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.

Top 5 data scientists salaries by location in India!

Posted on by Imarticus Learning
Reading Time: 2 minutes

“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
Reading Time: 5 minutes

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.

Why is Python of Paramount Importance in Data Analytics?

Posted on by Imarticus Learning
Reading Time: 2 minutes

Why is Python of Paramount Importance in Data Analytics?

Python is a programming language that has become the de facto standard for many data analysts, programmers, and scientists. One of Python’s benefits over other languages like Java or C++ is how it allows developers to code much faster than they could in those more mature frameworks since there are fewer syntactical restrictions on what you can do with objects and variables moreover, as we move towards ‘big data analytics – where large amounts of information need to be analyzed quickly – this increased productivity.

In this article, we will discuss how Python is an essential and popular tool for data science.

The program started with a demonstration of the latest AI that analyzes pictures to identify their contents by automatically assigning them tags such as “walking dog” or “standing person.”

Python for Data Science

Python has been an increasingly popular language for data science because it is easy to use and free. The Python programming environment, called IDLE or Idle-python, even comes with a small editor that provides syntax highlighting, making coding easier and more fun – perfect for people who are just starting!

It also includes many libraries such as NumPy, SciPy, Matplotlib (among others), which make working on scientific projects much simpler than if you had to do all the work yourself from scratch in another type of language like C++ or Java. If you want to learn how this powerful tool can help your future career prospects, then check out our data science course.

How to get certified in python?

You can become a professional developer in the fast-growing python programming language with certification. Python is an open-source, high-level programming language that enables you to quickly and easily solve complex problems.

This certificate program will teach students about object-oriented design principles and how they are applied in practice through hands-on exercises using actual code samples of real-world applications written by industry professionals.

The course covers data structures, algorithms, functional decomposition concepts (including recursion), and file handling techniques for various types of files, including binary formats like PDFs or encrypted ZIP archives. They apply to any application that includes many domains, from bioinformatics research right up to web development. Upon completion, participants should be able to make informed decisions when evaluating new projects.

 

To get more information about Python certifications please visit Imarticus Learning.   

Python programming course in Data ScienceImarticus Learning is a leading technology-driven institute that gives accredited certifications in data science with the collaboration of KPMG.

Conclusion: Python is a simple programming language that has many uses in data analytics. It can be used to process and analyze large sets of data and create visualizations for those datasets.

This article explores the importance of Python in Data Analytics and explains how it’s helpful across industries from finance to science research, entertainment marketing, and more! Do you use Python?  What do you think about this post on its usefulness? Please share your thoughts with us below, or contact our experts at Enquire Now to help answer any questions.

 

Why Data Security Should Be a Top Priority?

Posted on by Imarticus Learning
Reading Time: 3 minutes

Data science has revolutionized how businesses utilize information and leverage it to achieve their objectives. Businesses in the contemporary heavily rely on the use of data and analytics to obtain valuable insights about the market, customer base, competitors, etc.

Decision-making is not random in the modern digital age; it involves complex analysis and data churning to make outcomes more favorable and predictable.

best data science courses in India Data science training has gained new heights in the past decade and there is a growing demand for professionals in this field, making the data science career one of the most sought after and rewarding ones.

Today, data stored by companies is not just some random piece of information that no one looks at twice, it has gained a new significance and is kept confidential. Cybersecurity is a concern in the modern digital era, where data is not less than fuel for businesses.

Cybercrime has also gained momentum with the growing demand for data by businesses. Data security should be a top priority for businesses in the light of recent cybercrimes that has affected both small and large businesses. One can easily opt for a data science course from reputed organizations like Imarticus Learning and learn all about this discipline.

 Data Security a Necessity

Data security entails protecting vital digital information from theft or corruption.  Data security ensures that your confidential information is safe and secure and could not be altered by any other party.

Businesses also hold personal information related to their customers and protecting it is a necessity for the longevity and growth of the business. Let’s delve deeper into why data security should be a top priority for businesses.

  • Potentially Unwanted Program (PUP)

Data security is not just needed for large organizations but even the smaller ones need it to keep their confidential information secure. Potentially Unwanted Programs, popularly termed PUPs are one of the major data security threats that affect small businesses. Small businesses generally receive complimentary bundle software with the purchase of new tools.

At times, some spyware could get installed while working on these software packages if not sorted out properly. The consequences could be complete system slowdown, hacking, etc. One can easily avoid these PUPs by installing software from reliable sources only and inspecting the installed ones from time to time.

  • Increase in Data Breach Damages Reputation

Data breaches can turn out to be very costly for businesses. It can lead to a decrease in sales volume and also impact an organization’s reputation negatively. People will be more reluctant to trust a brand that has had cases of a data breach in the past and they won’t be comfortable availing products or services from these organizations.

A famous example of a data breach that resulted in a huge loss was Target’s 2013 breach, the profits decreased by more than 40% in the last quarter due to this event.

  • Hampers Productivity

Data breach not just hampers the reputation of an organization but also has other major consequences. It also leads to a reduction in productivity as it disrupts the whole process and systems in place that effectively integrate everything. Addressing and resolving the breach issue takes a little time but making things normally takes more than that and this causes a chain reaction of reduced productivity which adds to further losses for a business.

How Data Science is Taking Over Mobile Marketing?

Posted on by Imarticus Learning
Reading Time: 3 minutes

How Data Science is Taking Over Mobile Marketing?

Did you know that more than 50% of global web traffic is on mobile? Mobile devices have already taken over the internet; thanks to their ease of access and flexibility. That is why they have become a necessary part of every digital marketer’s strategy.

You might be wondering how mobile marketing and data science have come together and working in sync to gain more traction in the global marketing scene.

The following points will cover how data science improves mobile marketing and why more and more marketers are utilizing this robust skill. Read on…

Use of Data Science in Mobile Marketing

Here is how data insights can improve mobile marketing campaigns, making them much more effective:

Better Targeting

Data science enables marketers to find patterns in large amounts of data. By using data science, marketers can identify unique customer behavior and hence, create better marketing campaigns. It also assists marketers in measuring the impact of their current marketing endeavors through competitive analysis, predictive analysis, and other methods.

Data science training allows marketers to find out what percentage of their targeted audience behaved in what way. For example, they can learn who showed the most interest and who did not express any interest at all. Such data can be useful in optimizing future campaigns.

Chatbots

They are a prominent example of how technology has revolutionized interactions between brands and consumers. Chatbots are automated machines that mimic human conversations. They greet users visiting a website and help them find answers to general queries.

On mobile, chatbots are quite effective as they mimic the behavior one has while texting. Therefore, they make it more comfortable for new users to get familiar with the brand. They also improve the customer service quality of the company. Note that chatbots are AI- and data science-based tools.

More Data, More Insights

A huge aspect of data science is data collection and cleaning. Data scientists can improve the data gathering systems and methods used by an organization and enhance the quality of data used in analytics. They fix missing values, help get rid of overfitting, remove outliers, and prepare the data for the necessary procedures.

This way, the accuracy of their data science implementations remains high. As the quality and quantity of the generated data increases, it would allow the data scientist to gather more insights and enhance their results.

Enhanced Personalization

Data science enables marketers and businesses to offer more personal and special experiences to their users. Many companies are already utilizing data science to offer personalized experiences to their customers. For example, when you use the Amazon app, it recommends the products that match your past history and which have been bought by other users who showed interests similar to yours.

 

How to Become a Data Science Professional?

As you can see, there are many applications of data science in digital marketing. However, digital marketing is not the only field that benefits from the expertise of data scientists. Other industries that rely heavily on talented data science professionals include finance, healthcare, transport, and entertainment.

To pursue a career in data science, you will need to join data science courses. The best data science courses with placement will help you in getting a certification in the domain. Recruiters in this field are always on the lookout for certified professionals. Hence, you would benefit greatly from getting a certification in data science.

the best data science courses with placement in IndiaHowever, in the current time, when there is a contagious virus spreading globally, it would be best to join a data science online course. That is because an online data science course will allow you to study safely from the comfort of your home without going anywhere.

Lockdowns or curfews would not affect your studies and you would not be at the risk of exposing yourself to the virus.

In the nutshell, there are many applications of data science in mobile marketing. The implementation of data science in mobile marketing will only get better with time. Hence, if you are interested in pursuing a career in the data science field, now would be a perfect time. If you want to join a data science online course, then you can go here.

Python Developer Salary in Terms of Job Roles

Posted on by Imarticus Learning
Reading Time: 3 minutes

What is Python?

The second most liked Programming language in the world, Python is one of the widely used term in the web-development world.

Who are Python Developers?

The web-developers who design and code the software applications with the help of Python language are referred to as Python Developers.

Roles and responsibilities of Python Developers

 Python Developers as Data Scientists

Major businesses in today’s world require tools and skilled people for the data-related tasks such as data collection, data cleaning and processing.

Python Programming Course with Data ScienceData Scientists are the programmers who do these tasks for the organizations. Data Scientists gather a large quantity of data and convert it into a useful form, followed by recognizing data-analytics solutions for organizational growth.

Data Scientists encourage the data-driven approach in organizations to deal with complex business problems.

 Artificial Intelligence

In AI Python Developers create and implement the required Machine Language algorithms. They analyze the success and failure of the algorithm and rank them according to their performance for future use. Training and Retraining ML algorithms is one of the key tasks performed by Python Developers.

Salaries of Python Developers in India

The changing focus of the organizations on data-driven solutions is resulting in a manifold increase in the salaries of the Python Developers. In the coming years the demand for AI-skilled people will increase, and hence the salaries.

Major IT giants like Google, YouTube, Amazon etc. are adopting Python-driven systems and hence, manifold increases in the salaries of the Python Developers.

Python Programming Course with Data scienceThe entry level salary of a Data Scientist is approximately INR 500,000 per annum (Source: payscale.com) Data scientists with 5-9 years of work experience gets +100% more salary in India. With the experience and refinement of the skill, the salary of Data scientists shows exponential growth.

 An entry-level engineer who develops the ML Algorithms earns the average salary of approximately INR 700,000 annually. With further experience and refinement of the skills, the average salary of the Data Scientist shows exponential growth.

Factors affecting the Salaries of Python Developers

Job location: Considering the increasing demand of Python Developers, not only in India, the faster salary growth is visible in UK and in US.

Location

 Approximate Average Salary in INR

Gurgaon

 700,717

Bangalore

669,787

Delhi

600,000

Mumbai

579,728

Chennai

540,131

Hyderabad

 475,000

UK Python Developer annual salary

£67,000

US Python Developer annual salary

 $117,000

Experience:

Python Developer

Approximate Salaries in INR

Entry Level Python Developer

427,293

Med-Level Python Developer

 909,818

Experienced Python Developer

 1,150,000

Refined Skills:

Mere understanding of the Python is of no use, till is integrated with the problems and solutions. How one uses the well-known Python tools define the person’s skill set, which is a determiner of the salary.

Job Role:

Python Developer

Approximate Average Salary in INR

Data Scientists

700,000

ML Engineer

 670,000

DevOps Engineer

660,000

Software Engineer

500,000

Web Developer

 300,000

 

Python Programming Course with Data ScienceShould know more interesting things about Python programming training and Python career.