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Tag: Best Data Science Courses with placement in India

What are the Perks of Learning Data Science with Imarticus post COVID-19?

Posted on by Imarticus Learning

Covid-19 has pushed most corporate sectors to the inside of people’s homes. This in turn has made the already big flow of data turn into a tidal wave. Basically, the whole industry more or less relies on data analytics now. Experts state that there is going to be a major hike in the positions for data scientists in the near future.

artificial intelligence and machine learning coursesHowever, one thing to be concerned about is that it is going to make the already competitive industry even more neck and neck.  The first preference for positions is going to be data scientists with experience, and then freshers with a high level of skills.

The best thing to do in this situation is to properly learn data science with artificial intelligence and machine learning from a good institution.

Imarticus Learning is one of the topmost options when it comes to data science in this country. They offer PG programs in the data science course with placement in renowned companies. This will give you a much-needed boost when you are starting as a fresher in the sharp-edged competitive world of data science.

Major changes

Because of the world working in a virtual space, it has recently been in the trend for companies to hire professionals from other parts of the country along with locals. This is true for all sectors, not just data science. The perk of this trend is you can get a job anywhere in the country without moving an inch from your home. The downside is, you’re competing against numerous data scientists all over the country.

The only thing that will give you an edge over others in this condition is to learn data science from institutions that will put you in a speed race with a proper destination. Basically, institutes that will enhance your skills to the maximum while giving you a placement offer right out of your course.

This will help you gain all the real-world experience you might miss out on while being stuck at home, as companies used to provide workshops as well as in-person training for the new data scientists joining the team.

 Benefits of a data science course with Imarticus Learning post Covid-19

Many institutes in India offer an artificial intelligence and machine learning course after graduation. Imarticus Learning is one of the foremost institutions when it comes to this field. They have various forms of learning to offer, such as full-time courses for students, as well as part-time ones for working professionals who want to polish their skills again or change careers. There are lots of benefits of getting a data science degree from Imarticus Learning, such as:

  • They offer a full-time course, as well as a part-time one for those already with a job.
  • They have a course set so versatile that you will never have any problems working in any sector with your data science degree.
  • They provide a data science course with placement offers to renowned companies in different sectors. So, you have a chance of working in your dream job right from the start.

Conclusion

If expert reports are to be followed, companies in the future may be inclined to hire more versatile workers than specialists. So future data scientists will need to be razor-sharp all the time with an ability to do a variety of different types of work at the same time. Check out Imarticus Learning’s all-rounded PG program on data science if you are thinking of pursuing this career or re-polishing your skills.

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

Posted on by Imarticus Learning

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.

The Omnipresent Data Science & its Importance as a Career!

Posted on by Imarticus Learning

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

 

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

Posted on by Imarticus Learning

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

“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.

Why Data Security Should Be a Top Priority?

Posted on by Imarticus Learning

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

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.