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Imarticus Learning: Fuelling India’s Data Analytics Workforce

Posted on September 22, 2021March 22, 2024 by Imarticus Learning

What is Data Analytics?

Data Analytics involves analyzing raw data and drawing meaningful conclusions and patterns from that data. In data analytics, a lot of processes are automated to eliminate manual intervention. You can take up a data analytics course to understand the intricacies of the subject.

In data analytics, a lot of algorithms are prepared to make the job easy. These days you can take up a data analytics course with placement. A data analytics certification course makes you credible enough for the job.

Understanding Data Analytics

Data Analytics can be complex when you try to understand it. A data analytics certification course can help you know what the subject entails and how to make the best use of it. The data analytics course will also introduce you to the world of algorithms.

Data Analytics is a broad subject that includes several diverse types of data analysis techniques.

Data Analytics can be used to mine different kinds of data insights. These insights can be used in improving processes and transforming them for the convenience of the data users. You can take up a data analytics course with placement to practically apply these algorithms and techniques of data sorting and data analysis.

Companies like Imarticus Learning are tirelessly working towards making the Indian workforce tech-savvy and well-versed with data analytics and its application. If more and more workforce joins hands with Imarticus to learn data analytics, the workforce will become digitally enabled to deal with a large amount of data. They would know how the data would be put to proper use.

Use Cases of Data Analytics

Data Analytics training can be used to understand several trends that dominate the market. You can apply predictive analysis using the insights from these data points. Several industries are now making use of data analytics to optimize their processes.

For instance, in the manufacturing industry, data analytics is used to store and record runtime, work queue, and downtime of all the machines in the factory. The data can then be utilized to optimize all the processes and to make manufacturing better.

However, data analytics is not limited to spotting bottlenecks in the process. It can do much more. It can make the entire process better and more efficient. You can also use data analytics to speed up the manufacturing process as a whole, as with data analytics, you can reduce the waste to a great extent.

Types of Data Analytics

If the workforce knows how to use Data Analytics, they will be able to use technology better. Some of the types of Data Analytics are:

Descriptive Analytics: This is used to understand what has happened over a while.
Diagnostic Analytics: If something happens, you can analyze what went wrong using diagnostic analytics.
Predictive Analytics: In the case of predictive analytics, the algorithms are used to predict a future trend.
Prescriptive Analytics: These algorithms are used to take a suggestive measure for any action.

Conclusion

Building an analytics workforce is the need of the hour. Therefore, it is essential to train more professionals and prepare them for the analytics world. Digital literacy is very important to automate functions, and data analytics is an integral part of it.

Imarticus is on a spree to enable people to use data analytics to decode patterns and understand data. Imarticus has several courses on data analytics. You can enroll in all of these courses to get an in-depth insight into how data analytics works and make the best use of it. The certifications from Imarticus have a great value in the industry.

How A Security Camera Vendor Exposed User Data While Performing Analytics?

Posted on September 7, 2021March 22, 2024 by Imarticus Learning

A company responsible for manufacturing security cameras recently cost a huge number of its users their privacy as well as personal data which was accidentally exposed onto the internet. After admitting and owning up to their mistake, they went on to explain exactly what went wrong.

According to the company data belonging to users like their email address, body metrics, and IDs belonging to their WiFi networks were left exposed while critical information like financial information and the user’s passwords were left unaffected. This took place in December of 2019.

This incident occurred as a result of a misconfiguration in the database of Elasticsearch. This contained data that was generated by millions of the company’s customers, which they blamed on one of their employees. After explaining the issue, the company promised and was determined to keep looking into the database’s lack of proper security standards.

For those wondering what Elasticsearch is, it is a scalable analytics and search engine that is both open-sourced and includes full-text searches. It allows its users to analyze, look for and store large volumes of data efficiently and in real-time.

How exactly did the incident take place?

During an internal project which was meant to determine ways to measure metrics related to businesses in a more efficient manner, the incident took place. The method was to be used to measure activations of various devices, failed connections, and so on. This, however, would require data replications from the main or original production servers and into a database that would be more flexible.

This would make it easier to query. Bigger volumes of queries may possibly impact the customer’s product experience if it is done on the central database as it is very compute-intensive. Processing without there being any system lag required an individual data subset to be moved into a database that was different.

In doing so the user data was exposed in an unencrypted manner while it was being transferred to a novel database for querying. An employee had cleared out all prior made security protocols due to an error that led to the unfortunate incident. The new database only held a data subset and did not include any government-regulated or vital data such as passwords and financial intel.

What was exposed to the web exactly?

Until now, the company has only owned up to exposing the data which has been revealed and denies any evidence of data breaches. The company informed the public about the customer data that had been exposed which included data from their artificial intelligence assistants like Alexa, data pertaining to their health, their email addresses, and IDs to the networks of their Wifi’s.

Users have been asked to be careful against possible phishing ambushes because hackers could possibly have access to their user names and email addresses. These could still potentially be used to thieve credit and financial information.

The company also claimed that there was no evidence of exposure to their tokens required to log in. Users, however, have been logged out of their accounts as a precautionary or safety measure, allowing new tokens to be generated for logging in. The company has been working towards ramping up its security. This may include the addition of a two-factor method for user authentication. For aspirants looking to know more about the world of data science, a data analytics course would be perfect.

Not only would allow aspirants to learn more about the field but it would also equip them with all the necessary information and tools required to succeed in a data analytics career.

Data Analytics and Other Skills Which Can Boost Banking Careers

Posted on September 7, 2021October 27, 2022 by Imarticus Learning

Data Analytics and Other Skills Which Can Boost Banking Careers

We are living in a fast-paced world that is constantly changing with the advent of new and progressive technology. What’s relevant today might be of no use in the near future, such as the frequency and intensity of change. In the contemporary scenario, the digital world has taken over the real one and the world is moving online.

This totally changes the equation for businesses that were earlier accustomed to traditional methods. Now it possesses another challenge for the employees who were trained as per the traditional methods.

This evolution and challenges also apply to the banking industry. With the advent and proliferation of e-commerce, more people like to purchase goods and services using an online method that requires a digital banking facility to make payments. Also, the digital banking system is an evolved version of traditional banking that tackles the challenges faced by traditional banking methods. It makes it more convenient for people to avail and use banking services from the comfort of their home.

An important observation about the digital space is that it runs on data. Tons and tons of data are generated and recorded from various data points. Most of these data are related to customer transactions that help the business to gain valuable insights about the market and the customers.

Earlier this goldmine was left untapped as businesses didn’t have the tools to explore the benefits of data. This has changed over the past decade and businesses have realized the latent potential of data science, data analytics is indispensable for businesses in almost all industries, especially banking.

Banking and underwriting course can help you easily break into the banking industry. Also, wealth management training online can help you obtain a comprehensive understanding of the industry and give you an edge over the competition in finance and banking-related jobs.

Let’s explore some of the most prominent data analytics skills that can boost the banking career for people aspiring to make a career in this industry.

Skills needed in the contemporary banking industry

Analytical Skills

In today’s data-driven world, analytical skills top the list of must-have skills for the banking sector. Data analytics skill plays a key role when it comes to analyzing large chunks of data and deriving valuable insights from it. You should be able to identify trends and patterns hidden in the data sets and derive a conclusion from the same.

You should also develop your technical analytics skills by learning software such as Python, excel, etc. Your decisions should not be based on a hunch and it should be backed by reliable data. Data-driven thinking along with strong analytical skills is the only way forward when it comes to excelling in the banking and related sectors.

Commercial Awareness

Commercial awareness is all about being up to date with the latest trends and developments in the business world, especially for businesses in the banking and finance sector. The ability to anticipate a financial trend distinguishes a highly successful banker from a mediocre one.

You have to keep up with the market and be able to predict future movements. It’s vital to understand how organizations function and the primary driver for their growth. You need to know everything that might have a financial impact on a business.

Stress Management

Technical skills are important but what’s even more important is your soft skill. Emotional intelligence is an interesting concept that emphasizes the need to manage your emotions in the workplace. When you are working in the banking industry, you will be exposed to a lot of uncertainty that might induce and cause stress.

Stress management is critical to succeeding in the banking world. Burnout and stress from work are far too common and can reduce your productivity drastically. Being able to manage stress is one of the most important skills that you can hone.

How does Data Analytics help to Detect, Assess and Prevent Fraud in 2021?

Posted on September 7, 2021March 21, 2024 by Imarticus Learning

Fraud is a major problem in today’s digital world. Whether it is data analytics or data sciences, data analytics has become an integral component of fraud prevention. Data analytics is the process of data manipulation to identify patterns and predict trends based on data sets. The data can be in various formats like text, audio, video, images, or even data generated by sensors.

In simple words, data analytics is a data-driven approach to help you make better decisions. It helps organizations detect, assess, and prevent fraud in 2021. Data analytics courses are the latest trend among MBA students because data is so important to every aspect of life today.

This blog post will discuss how data analytics can help us detect, assess, and prevent fraud in 2021!

How does Data analytics help to detect, assess and prevent fraud in 2021?

In today’s data-driven world, data analytics has become an integral part of financial services. While data is not new to the industry, collecting and processing it at scale did pose a number of challenges in past years. However, with advancements in technology and data storage capabilities, data analytics as a tool for fraud detection has gained prominence within banks, especially after the 2008 economic meltdown.

Nowadays, organizations are generating large amounts of structured/unstructured data from various sources like customer service calls, social media platforms, etc., which can be analyzed using tools like machine learning, artificial intelligence (AI), predictive modeling, or deep learning algorithms, among others to predict potential threats on their business operations including risk management strategy thereby reducing operational costs & improving profitability by increasing revenue streams through better data-driven decisions.

However, data analytics is not just about data storage and analysis of unstructured data to identify anomalies within the data sets; it also focuses on methods that can be used by organizations to prevent frauds in real-time – a key area where financial institutions are looking at for growth opportunities as demand from millennial customers increases for mobile banking and increased online transactions via e-commerce portals among other channels.

In order to support their digital transformation journey & build a robust risk management strategy, banks and other institutions have started investing heavily into analytics capabilities by hiring data scientists and data analysts to leverage the power of data for fraud detection in real-time.

According to a recent report by MarketsandMarkets, the global data analytics market was valued at $16.06 billion in 2016 is expected to reach $73.47 billion by 2021, growing at a CAGR of 28% during the forecast period from 2017-2021.

Some key areas where data analytics is being used extensively include:

Customer profiling– understanding customer behavior patterns using unstructured data sets such as social media posts or email communication logs;

Fraud Detection– monitoring transactions on data sources across data systems and data formats to identify suspicious activity;

Risk Assessment– showing the correlations among data sets of different entities within an organization or between organizations.

This is a great opportunity for anyone who wants to learn data analytics, as there are plenty of job opportunities for data specialists.

Learn data analytics with Imarticus Learning

Imarticus Learning offers data analytics courses in India that help professionals from diverse backgrounds understand concepts of data analysis. This course enables you to analyze large amounts of data using various methods such as statistical tools, pattern recognition, etc.

Thus, you’ll be able to solve complex problems related to web intelligence, predictive modeling & simulation techniques or extract information quickly with minimal time lag through the Business Analytics course.

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.

What Is a Real-time Processing in a Big Data Use Case?

Posted on September 4, 2021March 21, 2024 by Imarticus Learning

Breaking down Real-time Processing

In today’s digital era, people are accustomed to real-time information that helps them make more informed decisions by factoring in the latest updates. Businesses in contemporary need real-time information to remain competitive in the market and improve their offerings.

Leveraging big data has become indispensable for businesses as it helps them provide valuable insights into the market. A big data career is also considered one of the most sought-after career choices given the demand for the same.

Real-time data processing systems help to factor in rapidly changing variables and relevant data to provide instant output so that any unnecessary delays can be avoided.

Some of the most prominent examples of real-time processing include order management for e-commerce websites, online ticket booking, financial fraud detection, radar range system, etc. A continuous stream of data is required to produce instant output in real-time. The most prominent benefit of real-time processing is that it helps to provide instant results and ensures that everything is up to date.

Real-time Big Data Processing Applications

Some of the most prominent applications of real-time big data processing in the contemporary include the following.

Online Commerce

Online commerce or e-commerce platforms heavily rely on real-time big data processing given the nature of business. It helps to solve issues related to customer service, inventory management, purchase pattern detection, personalized offerings, reduction of churn rate, etc. E-commerce companies also use real-time data processing to improve their logistics; they identify the nearest warehouse to effectively reduce delivery rates. It also helps to optimise the price and increase the sales volume by analyzing tons of data in real-time.

Social Media Networks

Gone are the days where people used to receive news the next day after the occurrence of a particular event. Social media networks have improved the flow of information and one can instantly receive any new update in real-time avoiding any delay in communication. Given the flow of information on social media platforms, real-time processing of data is almost a necessity. Some of the important functions performed by real-time data processing in the case of social media networks include classification of user-generated data or content, speeds up real-time trending, server functionality analysis, etc.

Healthcare

The healthcare industry also heavily relies on the use of real-time data processing systems. Some of the most common applications in this sector include real-time patient monitoring to assess crucial changes, wearable sensors and devices help to make life-saving decisions using real-time data. A majority of the data in the healthcare domain is usually unstructured and real-time big data processing helps to provide a detailed overview. It also assists in prescribing relevant medicines and avoids any unnecessary expenses.

Conclusion

Real-time big data processing has become popular in the last decade and is almost a necessity for a business that wants to create a sustainable brand in the long term.

The big data career is also gaining traction with the growing demand for data analysts who can assist in the real-time processing of big data.

One can opt for data science courses from reputed institutions like Imarticus Learning to boost their job prospects and build a career in this field.

Mining and Visualizing Data: Important Skill required in Data Analytics

Posted on September 4, 2021March 21, 2024 by Imarticus Learning

Data analytics is one of the fastest-growing fields in today’s business landscape. Data analysts across industries are being tasked with data mining and visualization for different purposes like data interpretation, data analysis, etc.

As a result of this, there’s a high demand for professionals with the data analytical skillset. There are data analytics courses that teach you data mining and data visualization.

These skills are indispensable in the data analytics landscape. If you want to be successful, it is absolutely necessary to learn this skill set.

In this blog post, we will talk about the important skills required for data mining & visualization and how to find a good data analytics course that offers them!

Key skills required for data mining and data visualizing

As a data analytics specialists, important skills you must have to apply for data mining & data visualizing jobs are:

Data Mining: Evaluating data to determine what kind of information it has and how a particular data can be used for various purposes (i.e., analysis). To analyze the data that you want to extract from a database or spreadsheet, tools like SQL queries help find specific patterns within large sets of data. You need to know about the kinds of algorithms available such as linear regression for analyzing relationships between variables recorded over time or clustering techniques applied when investigating groupings in your data set.

Data Visualization: Achieving insights into complex datasets with accurate representation through graphs, charts, etc. This includes designing insightful visualizations without sacrificing data accuracy. For this, you must have knowledge of data visualization techniques like data smoothing to make data trends more visible or data clustering for creating informative thematic maps.

Data Analytics: The application of statistical analysis to data in order to reveal patterns and trends that can be used for decision making, modeling future data, etc. For this, you need knowledge about the various analytical techniques like linear regression or time series forecasting, which are then applied to data sets in order to make predictions with mathematical models.

Understanding these important skills will help you think critically and understand how data analytics is done!

How to find a good data analytics course?

– The course should teach data mining, visualization, and advanced SQL skills.

– It should also have a good rating and be well-reviewed by existing students.

– A course with thorough programming exercises is preferable to one that just offers lectures or videos.

– The institution needs to provide a certificate of completion for the student in order for them to become certified data analysts, as many institutes are providing the courses without any certification.

If you are looking for a data analytics course that has all the above-mentioned features, then Imarticus Learning is for you!

A Rewarding Data Analysts Career with Imarticus!

Knowing the need for new-age careers & the potential of online education, Imarticus offers certification courses in data analytics for beginners and advanced levels.

If you want to further your career in data mining & to visualize data, and have a leg up over other applicants, getting a certification in data analytics is your best option. An advanced degree with various specializations at Imarticus will add credibility to your profile and position you as an efficient professional.

For any further details, contact us through the Live Chat Support system or visit any of our training centers in Mumbai, Thane, Pune, Bengaluru, Chennai, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

How COVID-19 Is Revolutionizing the Indian Analytics Industry?

Posted on August 30, 2021March 22, 2024 by Imarticus Learning

As India recovers from the deadly second wave of the COVID-19 pandemic, the country is witnessing a first-hand revolution in demand for data analytics as a solution and its various use cases. An industry that has come to fruition over the last 7 years has steadily been gaining the attention of the masses; however, after the pandemic, experts are taking note that the importance and popularity of data analytics as a career choice will increase exponentially.

A recent report published by Analytics India Magazine shared that the Data Analytics Industry earned a total revenue of 35.9 bn USD as of March 2020, signifying a sharp increase of 19.5% over and above the past year. The report went on to highlight the fact that Data Analytics as a solution will encompass 35% of all IT solutions in India by the end of 2025.

This and data from several other peer-reviewed sources point at the steady growth this industry is witnessing in India, making it an ideal choice for those who are looking to foster a career in data analytics both as a novel approach or as career advancement and transition.

But what changed in the industry, and why are experts predicting an increased demand in this domain?

To put it simply, over the past couple of years, companies across all industries have slowly made the transition from guesswork to predictive analytics, which empowers them to foster key decisions by analyzing past market trends.

Although this industry was witnessing steady growth over the past few years, the onset of the pandemic put it into perspective for many, how important it is to expertly analyze the data we collect and take note of key dynamics and trends which will influence consumer behavior for days to come.

For instance, before the pandemic, data harvesters rarely focused on the movement data they collected from consumers, as use cases of these are yet to be pinpointed; however, as the nationwide lockdown started, it became abundantly clear to key stakeholders that expertly analyzing movement data can not only help them track the spread of the pandemic, but also equip them with key insights in terms of precautionary measures to be taken.

However, this use case would not have been possible without the intervention of advanced data analytics engineers from the best firms in India, thus contributing to the rising demand for talented professionals in this field.

The Way Ahead

After the US, India is set to be the next battleground for developing a state of art data analytics hub, and several key observers of the industry have taken note of this fact. With the rising demand for data analytics as a solution among both public and private entities, there has never been a better time than this to foster a career in data analytics.

Coupled with the rising demand, there are now more resources available for those willing to learn data analytics and foster a future career which is immensely rewarding across multiple verticals.

What is the Technical Data Analyst Skillset for The Digital Enterprise?

Posted on August 24, 2021March 22, 2024 by Imarticus Learning

As data science is regarded as the “new oil” for the technology industry, there is a surge in the demand for skilled professionals. Data Analytics is finding its application in nearly all aspects of life, from education to healthcare, social media, e-commerce, and fintech, to mention some. As a professional, data scientist plays a pivotal role in the business ecosystem and influence business decisions.

Analytics, in general, has three important components – business context, technological intentions, and data science.

Data science is a broad term that encompasses different expertise like research – both operations research and statistical research, machine learning algorithms, and deep learning.

No matter which aspect of data science are you planning to focus on, you need to understand the key skills that make up a good data analyst. Read on to learn about the skills you need to excel in a data analyst career.

MS Excel

One of the most widely used app for data visualization as well as financial, statistical, and mathematical calculations, excel is the basic tool one needs to master while looking for a career in data science. The pivot tables are one of the most popular tools used in data analytics. Charts are excellent tools for data visualization. Slicers and filters allow organizing data while the formula-based techniques are great for creating aggregate reports, while other features like Vlookup help process a large number of data bits into a well-organized structure, enabling easy comprehension.

Data Warehousing

In simple words, data warehousing involves the collection of data, organizing them, and storing them. Data analysts and projects managers are usually responsible for data warehousing, where they handle the safekeeping of the data, ensure that the privacy rules are strictly adhered to, and monitor them. Data analysts should be able to integrate the data collected from different sources, analyze and create analytical reports, and support decision-making.

Data Retrieval Skills – SQL

The Structured Query Language (SQL) is used to connect with the database. Whether updating a database or retrieving data from it, SQL is the standard language used by Relational Database Management Systems (RDMS). SQL skills are mandatory if you wish to have a career in Big Data. However, learning SQL is simple, even non-technical people can learn it. It has become a basic skill used in many organizations to create, maintain and modify database structures and storing the collected data.

Coding and Programming Skills

Data analysts should master coding and programming to practice their knowledge. You don’t need to be a hard-core programmer, but you need to know the basics and should be comfortable with coding and programming to excel in this role.

While the primary responsibility of a data analyst is to analyze the data and derive meaningful insights from the, understanding the concepts such as functions, loops, if-else, and programming logic would be an advantage while dealing with a large amount of data.

Artificial Intelligence (AI) and Machine Learning

AI and machine learning help enhance data analytics. When you prepare a machine learning algorithm and provide it with a model, it gives you an output based on the model provided. For instance, if you train a machine learning algorithm and provide it with a predictive model, it will provide you with predictive analysis based on the data feed.

There is no absolute definition of skills needed to excel as a data analyst. Most data analyst courses cover the basic skills needed to secure a data analyst job. There is a buzz about big data and its application. Almost all industries are espousing data analytics. As technology improves, there could be overlaps in the job role, or the job roles could encompass wider aspects of data science. The better skilled you are the more are the chances to excel in a data analytic job.

How To Become Data Analyst After 12th?

Posted on August 12, 2021January 20, 2024 by Imarticus Learning

Data science, especially data analytics, is becoming the most desired job in the world with time. With multiple job positions and abundant opportunities, it is only wise to opt for data science courses after 12th or graduation. Students aspiring to be data analysts need to have a clear picture of how to become a data analyst and what data scientists do.

The first thing that an aspirant needs to know is that data analytics is a subset of data science, and hence knowing what is data science is paramount to learning what data analytics is.

Why a career in data analytics?

As data is becoming the most essential commodity to organizations worldwide, it is only wise to opt for a data science course in India. There are many benefits of data science courses and the most important one is that you can start a career in data analytics.

Business analytics courses will also boost the knowledge of a candidate in data analytics as it will help in understanding the domain better. Before understanding the requirements let us list the benefits of a job in analytics:

There are many job opportunities in the domain. Thousands of vacant positions are only waiting to be filled by qualified candidates
The salary of a data analyst is even higher than that of an IT professional
There are different domains within data analytics that can be a great option for career and salary growth
A challenging and stimulating work environment with a great work-life balance
An elite lifestyle

What are the requirements to become a data analyst?

You can opt for data science courses after 12th for UG. But, there are further options to start a data science course in India even after UG at PG or doctorate levels. You can also opt for certifications and diploma courses after the 12th.

At the postgraduate level, you can opt for a specialization in computer management and computer science to start your analytics career.

For pursuing a postgraduate program, a bachelor’s degree with a minimum of 50% marks is required, preferably in computer science or data science and from a recognized university.

Apart from educational qualifications, several soft skills like analytical and numerical skills are important for pursuing a career in data analytics. Further, a deep and thorough understanding of computer software and programming languages including querying languages (like Hive, SQL, and Pig), scripting languages (including Python and Matlab), statistical languages (such as R, SPSS, and SAS), and Excel is a must.

Besides, data analysts must possess problem-solving and interpretive skills to explain and present the process of data analysis and its results to decision-makers.

A data analytics course can help a student after 12th to bag high-paying jobs like data scientist, data engineer, database administrator, data analyst, and data architect. If you want to expand your job horizon, then you can even choose to do business analytics courses to end up in even higher positions with better commissions.

Take Advantage of This Once-In-A-Lifetime Opportunity To Express Your Ideas And Win Fantastic Prizes.

Posted on August 11, 2021May 30, 2025 by Imarticus Learning

Are you a Data science blogger? Imarticus Data Science is proud to announce our Data Science Blogging contest. This contest will reward the best Data Science blog posts of 2021 with fantastic prizes with up to 10,000 gifts vouchers.

Do you feel like you have many insightful thoughts to share as a blog on Data Science & Analytics? If you enjoy writing about data science, there is a once-in-a-lifetime opportunity to put your ideas in front of countrywide audiences. And the best blog post author stands to win a prize for their work!

Share your blog on any of the following topics:

Data science
Data Analytics
Machine Learning
Data Engineering
Deep Learning
Computer Vision
Python Programming and many more related to Data Analytics topics.

The Criteria to Participate in Data science Blogging contest

All blogs should be 500 to 1000 words in length.
The content must be original, well-researched, plagiarism-free, and informative.
Do not entertain duplicate posts.
The deadline is August 31st, 2021, at 11:59 pm IST.
The number of article contributors is restricted to three members.
blog.imarticus.org will host all the articles with credit given to the contributor(s). Blog entries are considered Imarticus Learning intellectual property from this point onward.

How to enter in the Data science Blogging contest and the process

Write a blog on a topic of your choice pertaining the data science and analytics. After completion, share your blog at blog@imarticus.com on or before August 31st, 2021, 11:59 pm, Indian Standard Time (IST).
The originality, creativity, and level of depth in all blog articles.
The content should meet the minimum criteria explained above and be submitted before the given deadline.
Will upload all the eligible blogs on or before September 11th, 2021.
The writers will receive the respective blog links by September 11th, 2021. The individual should share the blog link on their social channels with mandatory hashtag rules.
Imarticus team will evaluate the engagement on the individual blog posts until September 30th, 2021. The Imarticus panel team will shortlist the best 25 blogs and promotes them on their social channels until October 30th, 2021.
The blog that receives the most engagement by October 30th, 2021, is shortlisted as the winner. Imarticus Editorial Panel’s decision is final and binding in case of any dispute.

Why should you participate in the Imarticus Blogger of Year Contest?

Imarticus Social recognizes your skill and is eager to help promote your blog.
Exiting winning amount to motivate and encourage your effort.
The winner details will get necessary coverage within the media promoted and supported by Imarticus Learning.
We will promote the interview of the top 25 selected bloggers on different social channels of Imarticus Learning.

Apart from the 10,000 gift voucher to the winner, Imarticus Learning will give prizes to the other participants. The details are as follows:

Winner: 10,000
Runner Up: 7,500
3rd Place: 5,000
4th to 10th Position: 2,000
11th to 20th Position: Imarticus Hall of Fame Entry

T&C Apply.
Imarticus Learning shall own the Intellectual Rights of the blog content shared with us at blog@imarticus.com with due credits to the writer(s) till perpetuity. Imarticus Learning reserves all the rights to use, publish or remove the content on all our platforms.

The decision of the Imarticus Editorial Panel shall be final and binding in all matters. Any dispute will fall under the jurisdiction of Mumbai. The winners will receive Gift Vouchers.
To know more – Click here

Conclusion:

If you are interested in data science and want to share your ideas with the world, then this is a once-in-a-lifetime opportunity. Entering our #ImarticusBlogLikeAPro Season 1 Championship Award along with a cash prize of INR 10,000/ will not only is fun, but it could also win you fantastic prizes! Professional tone required for submission.

Tag: data analytics online training