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Category: Analytics

What does Intrusion in IT mean? And How can it be Detected?

Posted on by Imarticus Learning

Network security, for any organisation, is of prime importance. This does not mean protecting the network with the use of firewalls, but it goes deeper than that to pick up potential threat factors without replacing the traditional or primary security efforts like the encryptions or authentication methods.

To understand this better, it is important to first discuss what intrusion in IT means. Intrusion in IT, to simply put it, it is when a hacker wants to make way in your network with malicious intent. This can be detected by a Network Intrusion Detection System. Why are we using the term network here?

Because an intrusion detection system keeps a check on packets of a network wire, with the main objective of keeping away the hacker from entering or breaking into your system, it does so by analysing the movement on your network, to evaluate any anomaly or signs of threat.

Let us understand the main Objective and Functions of an Intrusion Detection System

  1. To Detect Attacks on the network – by providing real-time monitoring with an intrusion detection system can detect any potential threats or attacks as and when they occur.
  1. Provide Information on the attack – the intrusion detection system is equipped to provide information on an attack if it detects one.
  1. Provide Resolution – in an event, an attack was detected, it not only provides information of the attack but goes forward and applies corrective actions to manage the threat or an attack.
  1. Historical Data – the system stores the information on events locally and also when a case of attack is registered.

A network detection system is most strategically placed on points in a network so that it can monitor the traffic travelling to or from different devices on that network. There are mainly two types of network Intrusion detection systems, one should understand the applicability of this to decide on which one to apply.

Signature-based intrusion detection system, which is programmed towards identifying a specific type of vulnerability. Hence this system will not report every anomaly but only specific ones, thus reducing the number of False Positives.

Anomaly-based intrusion detection system searches every attack that is not meeting with the norms, hence in this system, the rate of false positives is very high.

Many companies set a large network identification system as a backbone network, which monitors blanket traffic on the network, others set up small systems to monitor traffic for a particular server, switch, gateway or router.
Besides monitoring traffic, an intrusion detection system can also scan system files looking for unauthorized activity and maintain data and file integrity.

The intrusion detection system can also work for a proactive role instead of a reactive role. It is proactive as it’s possible uses involve scanning firewalls for potential exploitation and scanning live traffic to see what is actually emerging.
A point to note is that the intrusion detection system is not a replacement for firewalls or any primary security systems, which are put in place to mitigate risks. This system is a backup network integrity device. And either one of the systems cannot replace another.

Imarticus offers an extensive certification course in Business Analytics for freshers and working professionals to understand the depth of IT Intrusion :

Data Science Prodegree: This program is co-created with Genpact as Knowledge Partner. This program helps you with the deep understanding of Data Analysis and Statistics, along with business perspectives and cutting-edge practices using SAS, R, Python, Hive, Spark and Tableau.

Post Graduate Program in Data Analytics: This program helps you to understand foundational concepts and hands-on learning of leading analytical tools, such as SAS, R, Python, Hive, Spark and Tableau as well as functional analytics across many domains.

To know more, please refer to our website: Data Analytics Course
To learn more about the Analytics watch this space until next week for the big news!

Everything you Should Know About Business Analytics!

Posted on by Imarticus Learning

Business analysts (BAs) are responsible for bridging any issues in the IT department and the business by creating new models after running strategy analysis. They evaluate processes, decide the needs of an organization and provide suggestions supported by appropriate data and draw reports to executives and stakeholders. 

BAs work with business leaders and users to see how data-driven changes to processes, products, services, software, and hardware can improve efficiencies and add esteem. They must articulate related thoughts or share observations yet in addition balance them against what is technologically practical and financially and functionally sensible.

How to make a career in business analytics?

Possession of hard and soft skills is an important prerequisite for becoming a business analyst. Not all business analysts need a background in IT as long as they have an overall understanding of how systems, products, and tools work.

On the other hand, some business analysts have a solid IT background and less experience in business but are keen on moving away from IT to this hybrid job. 

A relevant bachelor’s degree in business administration or finance will provide the necessary footing for your career as a BA, as any of the subjects hones your logical skill set and gives you a comprehensive layout of how businesses operate and meet targets. 

Numerous companies additionally incline toward individuals with an IT and engineering background. This is on the grounds that business analytics is highly dependent on software and technology. 

At the postgraduate level, you can choose to get straight to business analytics by opting for a certification course in Business Analytics. 

Business Analytics CourseIn any case, for some higher corporate positions like becoming a member of the board or working on high advisory positions, companies lean toward employees with an MBA (Master in Business Administration). This degree won’t throw you straight up into business analytics, but it can kick-start your career and fetch you a good salary. 

Further, a business analytics certification course with placement opportunities can extend employment opportunities, enhance pertinent skills and offer a higher return on investment in a limited timespan.

Notably, candidates with a business analytics certification are in high demand by the companies hoping to employ a BA resource. And, this interest area is considered by top colleges which have begun to offer business analyst courses online that are broadly acclaimed and perceived by the best organizations around the world.

Some of the business analysis certification courses with placement opportunities that strengthen the foundation of aspiring BAs are:

  • Certification for Business Analysts
  • Business Analyst Certification for Beginners
  • Certification of Competency in Business Analysis
  • Certified Agile Business Analyst Certification
  • Agile Analysis Certification Training
  • PMI Professional in Business Analysis

To have the high ground in altered business systems, possessing a business analytics certification is an absolute necessity for anybody seeking a vocation in analytics. In this day and age, it is self-perceived that data is a basic requirement in any calling.

In the business and sales industry, past data is utilized for decision-making and the development of business. Now you know how important a BA is, so why wait? Enroll in a Business Analytics Online Course to gain business analytics certification and grow your career.

 

Related Article:

https://imarticus.org/why-working-professionals-must-learn-business-analytics/

What is The Language Used To Make Artificial Intelligence Programs?

Posted on by Imarticus Learning

A.I. or Artificial Intelligence is considered to be the next big thing in the science community. Many people are worried about its lousy use; many have raised the fear of Skynet in the actual world through the artificial intelligence programs. Well, dangerous or not, when it comes to being in the league of new technology, big MNCs don’t like to fall back.

Having said that it is clear that people who have done big data and machine learning courses are the ones who are getting selected in big MNCs. While learning these courses, the main question that arises is: in which programming language are these Artificial Intelligence programs written? The answer is more than one. Let us list out the big guns of the artificial intelligence industries –

  • Python: Since its discovery, Python has gained significance as a popular programming language. Many artificial intelligence programs are written in this programming language. Python is liked among the personnel working in the artificial intelligence field due to its syntax simplicity and versatility. It is easier to learn than C, C++, Java, etc. It is more dynamic and supports neural networks, which makes it easier to develop NLP solutions in an ideal structure.
  • C++: C++ may be a little bit complex than Python, but it is one of the fastest programming languages out there. As artificial intelligence programs are vast numbers of lines of codes, the fast processing speed of C++ gives it an edge over the others. C++ allows the use of humongous algorithms while presenting statistical data. C++ is considered to one of the most suitable programming languages to learn for writing artificial intelligence programs.Investment Banking
  • Java: Java is popular among the programmers because of its ability to be a multi-paradigm programming language. The two main principles followed by Java are object-oriented programming and WORA principle. WORA or Written Once Read/Run Anywhere makes it possible to run Java programs over any system without recompiling it. It is best suited for Neural network and heavy-weight artificial intelligence programs.
  • LISP: LISP is not only a single programming language, but it is a family of programming language. It belongs to the category of the oldest programming languages in the market after FORTRAN. Although old LISP has evolved as the time passed to become one of the most influential programming languages used in artificial intelligence programs, it is favored0 in the account of the freedom it offers to the developers. LISP possesses an exceptional macro system which eases the work of implementation and investigation of specific intellectual intelligence programs.
  • PROLOG: PROLOG is the next oldest programming language in this list. It earned this position due to its underlying mechanisms which come in handy for various artificial intelligence programs. For example, PROLOG’s basic mechanisms include pattern matching, tree-based data structuring, automatic backtracking which are crucial for artificial intelligence programs.
  • Its mechanisms enable a flexible framework which is liked by the programmers. It is also known as a rule-based declarative programming language as its processing is done based on specific rules and elements which lay the very ground of artificial intelligence programs. PROLOG is one of the primary programming languages for artificial intelligence programs. It is used in some artificial intelligence enabled medical systems also.

So these were the first programming languages used in the industry to write artificial intelligence programs. These languages can be learned from various big data and machine learning courses. Organizations like Imarticus Learning are doing an excellent job in equipping people with the knowledge of these programming languages by their A-listed courses.

Top 7 Reasons to Convince You To Take on that Data Analytics Job

Posted on by Imarticus Learning

 

It’s more than just a buzzword, it’s a revolution– data analytics is here and here to stay. For four years in a row, data analytics was ranked the best job in the U.S. alone by Glassdoor in 2019. The data fever is catching on in other parts of the world too, as global economies become more interdependent and related.

More and more companies and industries are embracing data analytics, not least because it’s a science that delivers valuable insights applicable across all plans including business and marketing.

If you’re still hesitating about whether to go for a career in data analytics, allow these top 7 reasons to convince you:

#1: It’s in demand

Data analytics is one of the most in-demand jobs in the world today. This is because all industries need data-driven insights to make even changes, be it to pick a marketing option during A/B testing or rolling out new products. Data analytics is a high-skills, high-stakes job, which is why companies are ready to hire those willing to think creatively and derive data-based solutions to business problems.

#2: It’s easy to start

Educational institutions and course providers have sat up and taken notice of the demand for data analysts, leading them to introduce related training courses. Regardless of whether you’re a fresher or a professional in the tech field, data analytics training can help you start from scratch and build a portfolio of projects to showcase your skills These courses also provide tutorials in essential data analytics software such as Hadoop, Sisense and IBM Watson.

#3: There are plenty of job roles

Within the data analytics field, there are job roles that span academic divisions and aren’t restricted to engineering or software alone. Data scientists, systems analysts and data engineers will benefit from a background in the aforementioned academic fields. However, statisticians and digital marketing executives can look into roles such as quantitative analysts, data analytics consultants and digital marketing managers to put their skills to good use.

#4: The pay is good

The average salary in the data analytics field is US$122,000– a testament to how in-demand the profession is and how in dire need companies are of skilled employees. The figures vary depending on the role and job description but suffice to say that the pay is often much better than other technical jobs that people still seem to hover to by default. It’s also dependent on what industry you will work for, in what capacity and towards which goals.

#5: Growth opportunities abound

Technology is a dynamic field and with new changes come the chance to upskill, pick up new software and contribute to futuristic projects. Data analytics professionals can find themselves growing through roles and projects, oftentimes being tasked to lead a team or be the sole owner of a large-scale project.

#6: Industries are interwoven

With other tech fields, you might be restricted in your tasks or limited to a company. In data analytics, however, you get to pick and choose the fields you want, whether pure tech or even retail. Data analytics is in use across most industries so, once you find your niche, you’re ready to start dabbling in the industry of your choice.

#7: Influences decision-making

If you’ve ever wanted to be part of the larger organizational or business structure and contribute positively, chances are data analytics might be the niche for you. The insights that emerge from analyses of data can power strategies and create new business plans. This way, your contribution leads to progress on an organizational scale and your work can make or break a business.

Data analytics gives you the opportunity to become a more active stakeholder and contributor to any business regardless of the industry, so take the leap today.

Top R programming, SQL and Tableau Interview Questions & Answers!

Posted on by Imarticus Learning

Whether you are a fresher or an experienced data professional looking for better opportunities, attending an interview is inevitably the first step towards your dream career. Many of you might already have done a sneak peek into the world of data analytics through self-taught skills.

Data Science Course with Placement in IndiaHaving a good grip on the subject matter will give you an edge over other candidates. Data Science Courses and certifications add more weightage to your profile.

Interviewers might ask situation-based questions to test your knowledge and crisis management skills. So, make sure that you answer these questions wisely and showcase your knowledge wherever possible, without going overboard.

Listed below are some important R programming, SQL, and Tableau interview questions and answers. Check them out!

R Programming Interview Questions

A handy programming language used in data science, R finds application in various use cases from statistical analysis to predictive modeling, data visualization, and data manipulation. Many big names such as Facebook, Twitter, and Google use R to process the huge amount of data they collect.

  1. Which are the R packages used for data imputation?

Answer: Missing data could be a challenging problem to deal with. In such cases, you can impute the lost values with plausible values. imputeR, Amelia, Hmisc, missForest, MICE, and Mi are the data imputation packages used by R.

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

Cluster, just like the literal meaning of the word, is a group of similar objects. During the process, the abstract objects are classified into ‘classes’ based on their similarities. The center of a cluster is called a centroid, which could be either a real location or an imaginary one. K denotes the number of centroids needed in a data set.

While performing data mining, k selects random centroids and then optimizes the positions through iterative calculations. The optimization process stops when the desired number of repetitive calculations have been taken place or when the centroids stabilize after successful clustering.

The hierarchical clustering starts by considering every single observation in the data as a cluster. Then it works to discover two closely placed clusters and merges them. This process continues until all the clusters merge to form just a single cluster. Eventually, it gives a dendrogram that denotes the hierarchical connection between the clusters.

SQL Interview Questions

SQL online Training

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

  1. Point out the difference between MySQL and SQL?

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

  1. What is DBMS and How many types of DBMS are there?

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

There are two types of DBMS:

  • Relational: The data placed in some relations (tables).
  • Non-Relational: Random data that are not placed in any kind of relations or attributes.

 Tableau Interview Questions

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

  1. Briefly explain Tableau.

Answer: Tableau is a business intelligence software that connects the user to the respective data. It also helps develop and visualize interactive dashboards and facilitates dashboard sharing.

  1. How is Tableau different from the traditional BI tools?

Answer: Traditional BI tools work on an old data architecture, which is supported by complex technologies. Additionally, they do not support in-memory, multi-core, and multi-thread computing. Tableau is fast and dynamic and is supported by advanced technology. It supports in-memory computing.

  1. What are Measures and Dimensions in Tableau?

Answer: ‘Measures’ denote the measurable values of data. These values are stores in specific tables and each dimension is associated with a specific key. This helps to associate one piece of data to multiple keys, allowing easy interpretation and organization of the data. For instance, the data related to sales can be linked to multiple keys such as customer, sales promotion, events, or a sold item.

Dimensions are the attributes that define the characteristics of data. For instance, a dimension table with a product key reference can be associated with different attributes such as product name, color, size, description, etc.

The questions given above are some examples to help you get a feel of the technical questions generally asked during the interviews. Keep them as a reference and prepare with more technically inclined questions.

Remember, your attitude and body language play an important role in making the right impression. So, prepare, and be confident. Most importantly, structure your answers in a way that they demonstrate your knowledge of the subject matter.

Related Article:

https://imarticus.org/20-latest-data-science-jobs-for-freshers/

Using Near-Miss Algorithm For Imbalanced Datasets!

Posted on by Imarticus Learning

Data scientists are required to obtain, pre-process, and analyze data. Companies can use the insights gathered by data scientists for making important business decisions. While this task seems straightforward, there is a multitude of challenges witnessed by a career in data science.

All seems to be a tedious task, right from learning the fundamentals from data science courses to generating data science. But the major challenge lies in data cleaning for any data science operation. To be specific, 70 percent of the work of a data scientist consists of cleaning and preparing data.

Data Science CoursesAn imbalanced dataset is a typical example of unbalanced data. Let us see how to use the Near-Miss Algorithm for imbalanced datasets.

What is an Imbalance Dataset?

For classification problems, imbalanced datasets are a special case where the distribution between classes is not uniform. They are usually composed of two classes: the majority or negative class and the minority class which is also known as the positive class.

Imagine, in your dataset, you have two categories to predict: Category-A and Category-B. You have a problem with imbalanced datasets when Category-A is higher than Category-B or vice versa.

So how could this be a problem?

Imagine that Category-A contains 90 records in a dataset of 100 rows and Category-B contains 10 records. You run a model for machine learning and end up with 90 percent precision. Then comes the certainty check and you get to realize that the results are not accurate. This is a common error caused by imbalanced datasets.

Near-Miss Algorithm

The Near-miss Algorithm is used to balance an imbalanced dataset and is considered as an algorithm for undersampling and is one of the most powerful ways to balance data.

The Near-Miss algorithm works by observing the class distribution, removing samples located in the higher class. Simply put, if the algorithm witnesses a case in which two near points that pertain to different classes occur, it simply excludes the one from the higher class and ensures that the balance is preserved.

Types of Near-Miss Algorithm

There are 3 main versions of the near-miss algorithm. They are listed as follows:

Type 1: In this type of Near-Miss Algorithm, unbalanced data is improvised by assessing the minimum distance (avg) between the large distribution and three farther small distribution.

Type 2: In this version, the balancing of data occurs by figuring out the distance between ‘n’ neighbors of the data points belonging to smaller classes. The largest distance obtained from this calculation is eliminated.

Type 3: This version involves the calculation of the minimum or shortest base distance between the larger distribution and three other smaller distributions close to it.

Using the Near-Miss Algorithm for an unbalanced dataset

To use the Near-Miss Algorithm for an unbalanced dataset, three major steps are followed. As a part of the first step, the distance between the points belonging to the larger class and the point belonging to the smaller class is considered.

This is done to ensure that the undersampling process is simplified. Moving to the second part, the instances belonging to the larger class are selected. While selecting these instances, it should be noted that only those who have the shortest distance are chosen. As a final step, the algorithm returns m*n instances from the larger class.

Conclusion

The choice for an appropriate method depends on the dataset and the approach as desired by the user. Near-Miss is a popular undersampling technique that is used to deal with imbalanced classes.

However, it is not the only one. Other methods of dealing with unbalanced data include random sampling, SMOTE, etc. Therefore, make sure you are thoroughly aware of the technique before proceeding with it.

Artificial Intelligence Can Assist To Fight Against The CoronaVirus!

Posted on by Imarticus Learning

Fear and panic like the coronavirus (known as “2019-nCov” or “Covid-19”) has spread across the globe. Covid-19 claimed 33,993 lives and resulted in more than 723,279 documented cases of infected people in 192 countries.

The new coronavirus pandemic has swept the world. This has caused a stir in the socio-economic landscape of various countries.

According to reports from 195, COVID-19 has infected 192 countries worldwide. While the death toll is rising in other countries such as Italy, China is recovering from the Wuhan virus and no new domestic cases have been reported recently since the outbreak.

But how will China recover while others are plunged into unhealthy chaos? The answer is artificial intelligence and other significant destructive technologies. The country is using AI, big data, as a mechanism to fight the coronavirus.

Tech giants such as Baidu and Alibaba are leading innovative initiatives to tackle the crisis. In addition to China, AI-based medical technology and startups from various regions, including the United States, with their innovations to combat the pandemic situation will come to the fore.

Countries around the world – including the United States, South Korea and Taiwan – are using artificial intelligence (AI) to slow the spread of COVID-19. The technology will be used to accelerate the development of test and treatment kits, track the spread of the virus, and provide real-time information to citizens.

Artificial intelligence training and applied science are making it easier, faster and cheaper to understand how viruses spread, how to control them, and how to control their devastating effects.
MAIN REASON A. I WILL WIN THE COMPETITION-
1. AI can predict epidemics.
Artificial intelligence, better known as AI, can warn of an impending epidemic and give us plenty of time to prepare.

In the future, A.I. It can even use social media data to predict human behavior and potential breakouts.

2. AI Can accelerate drug discovery and development.
Not only can AI warn us of impending epidemics, it can help us identify, develop, and scale new treatments and vaccines faster than ever.

“The potential for AI to accelerate detection of vaccines, drugs and diagnostics is enormous, especially with rapidly mutating RNA viruses such as Covid, which require a broad spectrum approach.”

3. AI Can help minimize mortality and optimize disease management

Lastly, AI can help manage outbreaks and minimize deaths by reducing the burden on healthcare professionals and reminding patients of appropriate treatment procedures.

They can help touch excellence in your career and make the country proud. Learn AI and ML from home. Use this time to create a bright future for your nation, and of course yours.

Take part in certification programs from E & ICT Academy and Eckovation in AI & ML

Study from home with IIT teachers. Against the backdrop of the health crisis in the country, not letting your career suffer, living at home and in a protected environment is the only luxury we all have, let’s appreciate and learn. In the event of limited availability in this course, we request that you register immediately and follow the admissions process.

High Demand Online Classes To Learn!

Posted on by Imarticus Learning

Over the last few years, the boost of online outlets has culminated in a widespread educational spree. There is a wide range of online courses today that provide easy online training with the help of online classes.

Learning new things adds to your arsenal and strengthens your ability to successfully do a job. Having said that, we should not forget the incredible training institutions that help us in doing so. Therefore, in this article, we will look at some of the most amazing courses offered by Imarticus.

High Demand Online courses offered by Imarticus learning

Financial Online classes is a training organization that provides Prodegree, PG, and certification programs. The major areas that are spanned via its courses include technology, finance, analytics, and marketing.

Some of the most demanded courses are listed as follows:

This course is conducted in collaboration with SP Jain School Of Global Management. Via hands-on training from industry experts, real-world case studies, ventures involving innovations like Blockchain and Cloud Computing, as well as insightful experiences with leaders of the FinTech industry and entrepreneurs, this course empowers your FinTech awareness.

Created in collaboration with Moody’s Analytics, this course lets a person acquire a powerful toolkit that helps them understand the credit landscape of India, learn the entire loan evaluation process, and perform financial analysis with due diligence. The whole length of the course is 145+ hours.

Inside core finance, this 180+ hour skill-building curriculum develops mastery through multiple roles. The program brings you an accepted curriculum, powerful faculty, and practical learning in collaboration with KPMG in India, with over 25+ hours of delivery from KPMG specialists.

Designed as a 350+ hour rigorous course with the most in-depth knowledge of finance and accounting, this Finance and Account Post Grad Program is one of the best finance courses offered by Imarticus.

Online Digital Marketing CourseThis course is designed to provide an in-depth understanding of the fundamentals of finance, accounting, AP, taxation, risk and control, AR, technology enablers, among other fields, over six semesters through classroom instruction and hands-on case studies.  This realistic learning approach would enable aspirants at an analyst/senior analyst level to take on F&A outsourcing positions.

World-class industry experts have developed the Data Science Prodegree to deepen their understanding of data science principles and create powerful models to produce valuable market insights or predictions. It is a technical learning experience filled with information that includes a cutting-edge curriculum, case studies, and real-business ventures, and tech-enabled education.

The Accredited Digital Marketing Course has been developed by industry experts across many industry-specific projects to provide you with hands-on expertise and experience. Also, in line with current marketing strategies, the cutting-edge program promises ample career development in the area of Digital Marketing, leading to great prospects for work placement shortly.

The Digital Marketing Post Grad Program is a continuation of the Prodegree to give you a more realistic and systematic overview of the principles of Digital Marketing. A very collaborative approach that focuses more on multiple capstone projects, job-ready skills, and assured placements is adapted by the postgraduate program. This course prepares you to begin or upgrade your career in the Digital Marketing segment end-to-end.

Conclusion

An increasing and exciting new way to learn about almost everything is online learning. However, learning online is different from learning in a face-to-face environment, and before committing yourself to something it is important to think about your goals, your needs, and your interests.

Google, Spotify and Netflix – What’s common? They All Use Python As Their Programming Language!

Posted on by Imarticus Learning

Python is an open-source high-level programming language, which was first officially released in 1991. Ever since then, it has been powering many programs and helping programmers write and execute codes or scripts more rapidly than ever.

Google, Spotify, and Netflix – all have something in common, they all use Python as their fundamental programming language powering their services.

Python 3.0 came out in 2008 with many revisions and updates which followed this series. This was the programming language that everyone wanted and it had already established itself as one of the most preferred programming languages in the world.

Python is an interpreted programming language based on C. It was created by the Dutch programmer Guido van Rossum, who had made one of the most ultimate and appreciated contributions to computing or modern programming.

It would not be an overstatement if we would accredit Python training and the revered Dutch programmer to have helped humans as a race to advance even further due to Python having so many applications in a large number of necessary fields. Python powers a lot of the most important services, technology, machines, and industries that we depend on, and that have contributed to us getting more technologically advanced as a race.

Python programming courseHow Python is used in Google

Google has been working with Python since its early years. Python is extensively used by Google for a variety of tools which are used for code evaluation, system development, and system administration.

Traces of Python can be found in most of Google’s artificial intelligence and robotic projects which are assisted by machine learning and data analysis. Python is used on most of Google’s search algorithms and can even be seen on Youtube in areas like video administration, control templates, and viewing of the video.

How Python is used in Spotify

Python is used heavily in Spotify’s backend processes and in the company’s data analytics.

Spotify’s backend consists of various services which are interdependent and connected over ZeroMQ, an open-source framework for networking libraries, which is mostly written in Python with a bit of C++, Java or C. Python promotes speed during development and this is something Spotify truly emphasizes on. Spotify also uses Python frameworks to implement IO-bound services which are the preferred method of using data from the library to support recommendations and lists.

Spotify has been reported to be using Python along with data analytics to help provide listeners features or services such as ‘Discover’ and the Radio. 90% of Spotify’s map-reduce jobs are written using the help of Python, and Spotify reports that there are over 6000 Python processes being used by Spotify from their Hadoop cluster nodes.

How Python is used in Netflix

Python is used by Netflix in a manner that is quite similar to Spotify. Netflix uses Python to power its data analytics representing the server-side. Python is extensively used by Netflix to solve problems with the help of third-party libraries and the versatile nature of this interpreted programming language.

Netflix is very comfortable with using Python as it has an expressive and organized syntax with immense support from a huge number of developers. This allows Netflix to be very agile. There are many projects like Security Monkey and Central Alert Gateway which have been developed with Python.

Python has been used extensively in various services and systems of Google, Netflix, Spotify, and many other popular platforms like Facebook and Instagram. Applications of Python can be seen even in NASA.

Python is truly a versatile and highly recommended programming language preferred by many corporations and organizations due to its ease of use and open-source nature. It is the most highly used programming language in the world, powering a lot of important services and applications we use on a daily basis.

Do You Know Data Science Professionals Been Hired The Most ?

Posted on by Imarticus Learning

Data science courses have become increasingly popular in the past few years. That’s because the demand for data science professionals has risen substantially in various industries.

Companies in various sectors recognize the importance of big data and want to use it properly. In the following points, we’ll look at the sectors that hire the most data scientists:

Industries that hire the most data scientists

There are several industries involved in hiring data scientists:

Finance

The finance sector utilizes the expertise of data science professionals the most. It uses data science in determining the growth prospects of its investments, to calculate risk, perform predictive analysis and manage its operations.

Banks also rely on data science to detect and prevent credit card frauds. They use data science to track fraudulent behavior patterns in suspicious clients to identify potential credit card frauds.

When you join a data science course with placement, you’ll surely be working on finance-related projects.

Healthcare

Data scientists work in different avenues of the healthcare sector. Mostly, they work in the research aspect of healthcare and contribute to making trials and testing more efficient. Data science and artificial intelligence help companies in reducing errors and enhancing the efficiency of research processes.

Modern healthcare technologies also utilize the data science to provide better experiences to patients. Data science helps in improving the accuracy of diagnoses and delivers more precise prescriptions to patients.

Entertainment

OTT platforms have revolutionized the entertainment industry. Netflix, Amazon Prime, and Hotstar are now some of the biggest entertainment companies in the world. Netflix has been using data science since it launched its digital subscription service and has been a hot topic for case studies in data science courses in India. It relies on data science to attract more customers, create high-quality content and track its growth.

Data Science Course with Placement in IndiaHow to capitalize on this opportunity

As you can see, the demand for data scientists is constantly growing in multiple industries. Whether you want to enter the entertainment sector or the banking industry, becoming a data scientist will help you in your pursuit.

The best way to start your career in this field is by joining data science courses. While there are many data science courses in India, it’s vital to pick one that suits your requirements and aspirations. You should always check the data science course details, including the data science course fees to ensure they match your criteria.

Currently, it would be best to pick an online data science course in India because it would teach you all the required concepts and skills digitally.

Enrolling in a data science course in India would not only teach you the necessary skills, but it will also make you eligible for pursuing data science roles in various companies.

You can also look for a data science course with placement. It would help you kick-start your career as a data scientist easily and quickly.

Conclusion

Now, you have learned how data science helps numerous industries. You also found out how joining an online data science course in India can help you capitalize on this demand and become a sought-after professional.

Do check out our data science course details such as the data science course fees, if you’re interested in a career in this field.