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Category: Management

How SQL and Python are Changing the Future of Data

Posted on by Imarticus Learning

How SQL and Python are Changing the Future of Data

Introduction

Machine learning and AI may be making headlines, but did you know that the most critical talent in the data science sector is over half a century old! SQL has remained an essential data-processing language despite its age. It’s hard to believe that a language that has been around for five decades is still relevant in today’s fast-paced data science industry. 

SQL is not the only thriving aspect of data science. Python is another high-level programming language that is thriving in data science. Nobody likes unorganized, unfinished, enormous data just lying around. Python shines the brightest here as Python can easily manage this unorganized, unfinished data. If you are interested in honing your skills in this department, consider enrolling with Imarticus Learning programs, as it can propel your learning of Python for data science. 

How Python is changing the future of data

Python has a bright future as a large-scale, dependable, efficient, and ready-to-use technology. If you’re interested in data manipulation and visualization or machine learning and evaluation, this tool can do all of that and more. You can learn Python through various Python tutorials available on the internet. Imarticus Learning Programs is a major brand in the field of future technology-based professional education, devoted to sculpting the future workforce via innovative new age programs like Python for data science and analytics, artificial intelligence, and machine learning.

 Popularity of Python

The popularity of Python may be defined in a variety of ways. In addition to developers, Python is widely used for deployment management and web development, making it one of the most widely used computer languages in the world today. The Python language and its framework are also preferred by non-developers for data work when they first learn about it.

Python is becoming the first-choice programming language for prospective and current programmers who want to get “real employment.” Aside from online and mobile app development, the technology is also being utilized in data science. Python is extremely popular within the data science field. Since it is in high demand, you can find Python tutorials in Imarticus Learning Programs. Imarticus utilizes innovative technology and training methodologies to transmit information and a cutting-edge Learning Management System to merge online and live education.

Uses of Python

Python has a remarkable amount of adaptability. It is a versatile language that may be used for a variety of purposes. Data science’s ascent has led to Python is the number one programming language in the world. That brings us to AI. A language specifically designed for machine learning doesn’t exist, but Python’s strengths in this area make it the ideal option for most programmers who want to use ML. For Machine Learning, Python is one of the most widely used and finest languages.

 Python is unquestionable “the rage” these days. Python is a welcoming environment thanks to its widespread use and supportive community. It encourages developers to express themselves more concisely. Learning Python is quite simple, so you can get started right now. 

How SQL is changing the future of data

Before we jump to why SQL is the “rage” these days, let us understand what SQL is exactly. 

What is SQL?

An SQL query language is a specialized computer language intended to enable communication with databases. SQL is still used today for searching, updating, modifying, adding, and removing data in relational databases, even though it has changed quite a bit over the years. SQL is often used in conjunction with other computer languages, such as Python or R, in data science projects. SQL allows data scientists to extract specific data from an organization’s database. Using Python or R, users may then dig further into the data that their SQL query retrieved.

 What’s the point of learning SQL?

 The prevalence of SQL databases is undeniable.

 Most businesses depend significantly on their SQL databases. As a result, SQL abilities are expected to be in high demand for years to come.

 Nearly every job description that includes the word “data” calls for the use of SQL. SQL is the most commonly requested technical expertise for entry-level occupations such as data analysis (including Python, R, machine learning, and so on).

 SQL abilities (and some knowledge of spreadsheets) are sometimes the sole technical skills needed or assessed during the interview process for many data positions.

Conclusion 

Python and SQL have both taken data science by storm. The demand for these applications is not likely to stop anytime soon. If you are interested in learning Python or SQL, sign in for Imarticus Learning Programs. It is one of the best platforms for future data science experts out there. You can also contact us through chat support or drive to our training centers in Mumbai, Thane, Gurgaon, Pune, Chennai, Bengaluru, and Delhi. 

How An IIT-certified Supply Chain Management Course can jumpstart your career

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How An IIT-certified Supply Chain Management Course can jumpstart your career

It’s the dream of millions of Indians to study at IIT and experience its legacy of excellence. Interestingly, today, one need not be an engineering graduate to do that. Innovation and technology have revolutionized almost every discipline, and one that is highly impacted is Supply Chain Management (SCM). By pursuing a cutting-edge online supply chain certification course offered by IIT Roorkee, ambitious professionals can build in-demand industry skills and fast-track their career growth to the next level. 

Evolution of the supply chain

The cloud has completely transformed the modern supply chain. The accelerated growth of eCommerce, higher consumer expectations, shift to data-driven decision-making, and challenges in procuring raw materials have collectively influenced how SCM is practiced. These shifts have led to a disproportionate jump in the number of SCM jobs available across sectors and to an expansion of roles across the industry. 

Today one can choose from an array of Supply Chain Management Careers. One can become a Supply Planning Analyst, Data Scientist, Demand Planner, Procurement Specialist, Data Analyst, Supply And Operations Planner,  Quality Assurance Manager, and Logistics Manager. 

Aspiring supply chain management professionals need to invest in training that empowers them to succeed in their chosen career path. 

Build the skills of the future 

A modern SCM course, backed by an IIT faculty, curriculum, and certification, equips professionals to build skills. They can also get a taste of hands-on learning as they work on real-world SCM projects. For example, understanding how to leverage analytics through technologies such as Python gives SCM professionals the tools to improve efficiency, apply real-time insights to their outcomes, and innovate the supply chain in line with their business goals. Data-centric professionals are more likely to make superior decisions and directly impact their work and the profitability of the business. 

An industry-focused program 

An industry-focused curriculum helps you get exposure to core SCM concepts. It also enables hands-on learning of SCM processes, tools, and techniques. You will get exposure to core subjects such as supply chain performance, drivers and metrics, how to design the supply chain, planning demand and supply, improving supply chain profitability, and driving sales and operations.

Some emerging subjects, such as handling uncertainties as well as leveraging technology to predict demand, are growing focus areas in the curriculum and the industry. Another important aspect is the entire placement process, which includes services such as resume building, job interview prep, and placement opportunities. This is especially important as you take the plunge into a whole new industry.  

The IIT Edge  

By opting for a superior 6-month SCM course, professionals can experience live sessions by IIT faculty, one of the best faculties in the world, and seasoned industry experts from the SCM field. You also get a unique opportunity to participate in a campus immersion module hosted at an IIT campus. Here you get to engage with peers and faculty and work on a capstone project under the guidance of professional mentors. At the end of the program, you get a certificate from the prestigious IIT. 

Work and learn! 

Today, you can pursue an online Supply Chain Certification Course, which allows you to work and learn simultaneously. You can access on-demand content via your smartphone or smart device from anywhere and learn as per your schedule. The byte-sized mix of video content, blogs, assignments, live sessions, and assessments make learning an engaging, interactive experience.

Another benefit of a modern SCM course is mentorship. A mentor, backed with years of hands-on  SCM experience and industry-savviness, doubles up as a motivational guide and thought partner throughout the program. Your mentor also has the potential to value-add to your network throughout your professional career. 

Grow your network

Professional success is a measure of your skills and talent and your ability to nurture successful relationships in the industry. As they say, your network is your net worth! An IIT-certified SCM course gives you access to seasoned faculty and industry leaders from IIT’s network. You also have the opportunity to engage with peers looking to pursue growth in the field of your interest. In the future, they will become part of your professional network, not to mention the wide spectrum of IIT alumni who are already well-placed in the industry.   

Fuel career growth

Today, the digital supply chain model, which leverages AI, delivery automation, and blockchain, is a dynamic field. An IIT-backed SCM course equips you with the tools, experience, and network to excel and make your mark in this field.

To know more about online programs that can fuel your career growth, connect with us through chat support or drive down to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, and Delhi. 

The Past, Present And Future Of Hadoop

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The Past, Present And Future Of Hadoop

Technologies that have become successful over a period of time go through innumerable cycles of discovery, invention, adoption, socialization, and constant improvement. Hadoop is no different from other technologies and it has followed the same path. 

Hadoop is an open-source software framework, which is mainly utilized for running applications and storing data on clusters of commodity hardware. With this framework, you will get huge storage for almost all kinds of data. Also, it provides massive processing power and the capacity of handling limitless simultaneous tasks or jobs. 

History of Hadoop

If you are interested and want to learn data science, then you have to know about the basics of Hadoop. We all know that when searched with a keyword, search engines provide us with relevant information. With the immense growth of the web, millions of pages were added every day. There was no other option than automating the process for displaying search results. 

This is where web crawlers were created. Many search-engine startups also emanated. One such project was called Nutch, which was an open-source web search engine. The idea of the project was to return search results quickly by distributing calculations and data across different systems so that multiple tasks could be completed simultaneously. 

At this same time, Google was also working on a similar kind of concept of processing and storing data in a distributed and automated manner so that proper search results can be returned faster. 

Nutch was the brainchild of Mike Cafarella and Doug Cutting. And, Cutting later joined Yahoo with his Nutch project. However, the Nutch project got divided. The distributed processing and computing part became Hadoop and the web crawler part remained Nutch. Yahoo then released Hadoop as an open-source project in 2008. 

Hadoop’s ecosystem of technologies and framework is maintained and managed by a non-profit Apache Software Foundation (ASF). This is a global community comprising software contributors and developers.

Hadoop is More of a Framework Than a Solution

It is needless to say that Hadoop’s technology brought a revolution in the world of data storage. Previously, it was expensive as well as difficult to store huge volumes of structured data. But, Hadoop took good care of this burden. Organizations and businesses found a cost-effective way of storing data with Hadoop. 

Hadoop clusters have been set up by many businesses so that they get better business insights or new information from the data. However, there is a slight hitch in this sector. Many businesses have tried to execute an analytics-based or business intelligence idea and they have been disappointed. 

For interactive queries, Hadoop proved to be very slow and this is a disappointment for many businesses. It is now understood that Hadoop is a framework and not a big data solution. For many businesses, Hadoop is too complicated. Basically, to handle Hadoop, a dedicated team is needed with programming knowledge and a level of configuration. 

Cloud-driven Evolution

The world of data warehousing is evolving fast and this means that Hadoop is evolving too. When Hadoop was created, then the public cloud did not exist. In fact, the IT landscape in which Hadoop had gained immense popularity has changed drastically over the years. Now, it is difficult to compare the previous landscape with the current IT landscape. 

Obviously, the way in which Hadoop was used has also changed. If you check instances like Azure’s HDInsight, AWS Elastic Map Reduce, and Google Cloud Platform’s DataProc, you will understand that the majority of public cloud infrastructure providers now integrate and actively maintain a managed Hadoop platform.  

Nowadays, the cloud-based Hadoop platform is commonly used for machine learning, batch processing, and ETL jobs. When a business moves to the cloud, it means that you can use Hadoop immediately and on demand. This happens because the total setup is complicated but it is already taken care of. 

There is no doubt that Hadoop has gained with its move to the cloud. But at the same time, Hadoop is not the only option now for secure, cheap, and robust data storage. Competition has increased drastically in the data-storage industry. There is no second thought that Hadoop is not the epicentre of the data universe. 

Future of Hadoop

It is pretty difficult to say that Hadoop is losing its place in the data market. This is because the framework comes with certain benefits, which are difficult to ignore. Hadoop is an excellent on-premise solution and the demand for such solutions is really high. Moreover, this demand will not go down soon in the coming years. 

Conclusion

Honing your skills in Hadoop or data science will help in making a great career. For a successful data scientist career, it is recommended to take up a course from a well-reputed institute like Imarticus Learning. With such a certification, more job opportunities will open up in the data science industry. 

5 SQL Tricks Every Data Scientist Must Know

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5 SQL Tricks Every Data Scientist Must Know

The world of data science is changing the way we work, communicate, and live. Data scientists are at the forefront of this change, helping unlock new insights and improve our lives. But in order to do so, they need to understand SQL—the standard language for managing data in relational databases. 

Data science courses offered by Imarticus learning include SQL, Data Visualization with Power BI, Python, and many others. Let us look at the tips and tricks to get you to speed up.

  1. Use wildcard characters for ranges of values

If you want to find all the numbers between 1 and 10—for example—you can just type “1-10” into your query and get results instantly. You can also use “*” as a wildcard character for any value (e.g., “*a?” would return results with aaaa or aaa).

  1. Use LIKE and WITH to find specific patterns in strings

If you’re looking for a particular pattern within a string—like if someone’s name is “John Smith”—you can use LIKE to find those exact characters in your query: WHERE FIRST_NAME = ‘John’ AND LAST_NAME = ‘Smith’.

Use the LIKE operator to find all rows that match a pattern of characters or numbers. For example, if you want to find all the customers whose names start with “J,” use “Name” LIKE ‘J%’.

WITH statement. The WITH statement allows you to define a temporary table for your query so that you can use the results without repeating yourself.

For example, imagine you have data on all the colleges in the US that’s stored in one table called “college,” and they’re all represented by their state abbreviation (e.g., “WA” is Washington). Let’s say you want to know what percentage of incoming freshmen at each college paid full tuition (the answer will probably be 100%). You could try writing this query:

SELECT CAST(cnty AS FLOAT) AS percent_full_tuition FROM college

But you’ll get an error because CAST() only works with numbers. Instead, you can wrap up our query in a WITH statement like:

WITH college_data AS ( SELECT CAST(cnty AS FLOAT) AS percent_full_tuition FROM college )

  1. Sorting data

Data sorting is a key process in the data analysis process. It allows you to put your data into a specific order to easily find and analyze the information you need. One of the most basic ways to sort data is using an ORDER BY clause.

In SQL, you can use the ORDER BY clause to sort your query results according to any column or columns present in your query. To do this, simply add an ORDER BY clause that specifies how you want your query results sorted:

SELECT * FROM tbl_name ORDER BY col1 ASC;

This will sort your results by column col1 in ascending order (A-Z). If we wanted it sorted in descending order (Z-A), we would use DESC instead:

SELECT * FROM tbl_name ORDER BY col1 DESC;

The above query would return all records from table tbl_name with col1 values first, then col2 values, etc., until all records have been returned and displayed on the screen.

  1. Using Arrays

Each value within an array has its own unique index number that determines its position with other values within the array.

For example, if we had an array containing three values: John Doe, Jane Smith, and Joe Brown—and each value had its own index number (1, 2, 3), then our array would look like this: [John Doe] [Jane Smith] [Joe Brown].

The advantage of using arrays over traditional data structures, such as strings or objects, is that arrays allow you to store multiple values together without worrying about their order or relationship with one another. 

Arrays are a common data structure in SQL. An array is a collection of items with the same type and share the same name but may have different values. Arrays are useful because they allow you to store related information together without having to create separate tables for each item or value.

You can manipulate arrays in many ways using SQL syntax, including accessing elements within an array using subscripts or using functions that operate on an entire array (like SUM()).

  1. Derived table

A derived table lets you pull out just the parts of your query that are interesting to you, without worrying about what else might be in there. For example, say you have a bunch of users’ names and their favorite colors:

SELECT name FROM users_table WHERE age > 18;

This query would give us a whole list of users’ names, but we don’t really care about the rest—we just want to know what people like as their favorite color! We could do this with another query:

SELECT name FROM users_table WHERE age > 18;

SELECT favorite_color FROM users_table WHERE age > 18;

This would give us back just one column instead of two (which is why it’s called a “derived” table).

Looking to get a deep and better understanding of SQL, then get in touch with us at Imarticus Learning by visiting our offline centers in major cities throughout India or through chat support. If you are a fresh graduate or have just started your career, Imarticus can offer an extensive data science certification program that ventures through each aspect necessary for data scientists.

A-Z Incident Management in Cybersecurity

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A-Z Incident Management in Cybersecurity

The process of analyzing, identifying, recording, and managing real-time cybersecurity issues is known as cybersecurity incident management. The central purpose of incident management is to provide a comprehensive view of all security threats within an IT infrastructure, ranging from active malware contamination to any data breach. Unauthorized access to data such as financial, personally identifiable records, health, and social security numbers, and policy violations are all examples of security incidents.

Imarticus Learning has collaborated with industry leaders and experts to design a PG Program in Cybersecurity to help aspiring cybersecurity professionals become cybersecurity experts. The 6-month extensive program, with rigorous lab sessions on real-world problems, will help you learn about incident handling and become a certified ethical hacker. This article aims to provide you with a comprehensive understanding of incident management in the world of cybersecurity. 

Process of cybersecurity incident management

As per the International Standard Organization (ISO) and International Electrotechnical Commission (IEC), cybersecurity incident management follows a five-step process. They are as follows:

Step 1 

Any form of a security breach or malware triggers an alarm that engages the Incident Response Team (IRT). They are trained to handle such sensitive incidents. Convene your cybersecurity incident response team as soon as possible. 

Step 2

The IRT monitors the system and goes through all previously reported incidents to identify the potential security threats. Determine the nature and sensitivity of personal data, estimate the seriousness of the consequences, and look for existing mitigating measures. 

Step 3

After identification, the IRT thoroughly assesses the threat before determining the appropriate next steps for mitigating the risk. This stage is important because it sets the next course of action and how the team will contain and resolve the problem. 

Step 4

Based on their assessment, IRT contains, investigates, and resolves the issue. The team eradicates the threat and cleans up the system. They run a spyware or virus scanner, disable breached user accounts, and fix the existing security gaps. 

Step 5

The IRT professionals always document every step of their operations for later review and inspection. 

Basic principles of cybersecurity incident management

Keep in mind some basic working principles while learning about cybersecurity incident management. 

  • Every business organization has different needs when it comes to cybersecurity, and there is no simple one-size-fits-all solution.
  • The top management should be actively involved in all cybersecurity strategies. Their authority over appropriate internal communication and the allocation of personnel and financial resources is needed to execute all security plans successfully. 
  • Every member of your organization needs to be made aware of your cyber security incident response plan for successful execution. 
  • Keep an offline copy of all relevant documents to help you guide through any cybersecurity crisis, as online files may not be accessible. 
  • Never link backups to the rest of your system to reduce the chances of getting infected during a cybersecurity issue.
  • Document every step of a cyber security incident. Logs can help you trace back the origin of the cyber security incident. Hence, it is vital to keep them for at least 6 months. 
  • Keep your cyber security response plan and related information and documents up-to-date. 
  • Always factor in the legal aspects while managing any cybersecurity incident. 

Conclusion

The Internet is revolutionizing business operations globally, and our dependency on it keeps increasing. However, the Internet generates not only new opportunities but also critical risks. Cybercrime has emerged as a worrisome problem for most companies, with online frauds, malware, data breaches, and hacking becoming a primary concern. The field of cybersecurity is a booming one with promises of great scopes and prosperity.

Imarticus Learning has come up with cybersecurity certifications online for all aspiring cybersecurity professionals to make a prosperous career in this field. 

Natural Language Processing: The next frontier in data science?

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Natural Language Processing: The next frontier in data science?

What is Natural Language Processing?

Driven by science, the world has advanced beyond solely human interaction. Today it barely depends on humans as much as it depends on automated machines and artificial intelligence. 

Natural language processing aspires to create machines that evaluate, comprehend, and respond to text and spoken data similarly to the manner humans react. This branch of artificial intelligence enables computerized machines to engage in human-like conversations wherein, they have the capability of reproducing text and speech in the same way we can. 

Why is natural language processing the next frontier in data science?

When used in concurrence with other aspects of data science like statistics, deep learning, and machine learning, not only can it comprehend human language be it in the form of speech or text data but can completely evaluate the intent, emotions, and meaning behind it. 

Natural language processing is the core that navigates computer programs and enables even the simplest applications that we use on a regular basis like online translators to translate our text from one language to the other. However, its limitations are far beyond just translation. It can acknowledge and create responses to verbal instructions and assemble a massive amount of text expeditiously. And these functions very much occur in real-time. 

We interact with natural language processing on a daily basis without even being completely aware of it. For Example, verbally operated GPS systems, digital assistants like Siri or Google assistant, speech-to-text features, chatbots to avail customer service, and other functions that have been integrated into our daily lives so effortlessly. 

Learn data science online

As has been rightfully saying, data is the most valuable resource available to the world right now. It helps us make informed and fact-based decisions. With the increase in the market for data scientists, more and more Indians are now looking to upskill and earn certifications and degrees pertinent to this line of work. The demand for PG in data science in India has increased manifold and students are now directing their focus toward learning skills that will help them have a competitive edge. 

Our data science course is headed by KPMG, India’s leading knowledge partner in making real business Capstone Projects accessible to students along with providing video case studies and coaching students to deliver first-class projects only. The course has been devised in alignment with the industry and to ensure higher employability rates. 

The course has been cautiously developed to understand the inner workings of the real-life data science and analytics industry. It helps you obtain and hone the skill set that is a prerequisite in leading data science companies. The curriculum and certification have been designed in a way that is globally recognized and will propel you in your career. 

Data is not a critical element in making business decisions and companies are seeking out data scientists that can add value to the team and recommend innovative solutions to real-time problems. And we ensure that you are the data scientist that they are looking to hire. 

Our data science curriculum includes:

  • Statistics & R
  • Data Science with R
  • Data Science with Python
  • SQL Programming
  • Tableau
  • KPMG in India Capstone Project
  • Job Readiness

Data scientist career

With multiple streams opening up under data science, it is very understandable to get confused. Data scientists are the glue holding the corporate world together and without them, corporates would just get stuck in a maze with no exit point. 

Here are some data science careers you can opt for:

  • Data analyst
  • Research data analyst
  • CRM data analyst
  • Business analytics consultant
  • Predictive analytics expert
  • Data visualization specialist
  • Data mining engineer
  • Machine learning engineer
  • Predictive modeling associate

Conclusion

Whether it is to take important corporate decisions, to evaluate what the company is lacking, the steps that should be followed next to overcome serious challenges, or even something as significant as how to expand the business, having data scientists in the team who can provide valuable insights is a necessity now. 

Data analytics courses: 7 skills everyone needs to know

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Data analytics courses: 7 skills everyone needs to know

Today, it is not an exaggeration to say that the world runs on data. The world creates 2,500,000,000,000,000,000 bytes (two and a half quintillion bytes) of data every day! Data analytics has become the jargon of the modern business, and talented data analysts are needed now more than ever before. As a result, more and more students are opting for a Data Analytics course as it stands for a lucrative job offer. 

best data analytics courseA Data Analytics Certification helps individuals to disrupt, innovate and drive their organizations’ strategies in a better manner today.

There are a variety of Tableau Course and  Data Analytics Courses online as job openings call from every industry of the market, from manufacturing and supply chain to banking, healthcare, and retail.

Here are the 7 skills that everyone needs to know if they plan to pursue Data Analytics Certification Courses to become an in-demand data professional:

Machine Learning

Machine learning has become the most important arm and leg of Data Science. As an extension of Artificial Intelligence (AI), it helps one in finding patterns in big data sets and build on algorithms to improve accuracy over time. Having a general understanding of machine learning-related tools and concepts will give you an edge over competitors. Some of the courses available on the Imarticus platform are Postgraduate Program In Data Analytics And Machine Learning And Certification In Artificial Intelligence And Machine Learning.

Structured Query Language (SQL)

To communicate with the databases, one needs to know the Structured Query Language (SQL). It allows the data analyst to modify data structures, and organize and update data. By exploring data, one learns how to analyze data as well in time. SQL has a good hold in companies everywhere because of its functionality and maintained effectiveness. Hence, it is considered one of the most important skills needed to land a data analyst job.

Data Visualization

A course in Data Analytics should equip an individual to gather insights and string the information together in a story format so that business owners can make better decisions. One can build data models and create business intelligence reports and use visual representations in a better way. The ability to visualize data empowers a data analyst to gain a better understanding of a company’s situation, deliver useful insights, and make better company decisions.

R or Python – Statistical Planning

Being able to write programs in R or Python can help one visualize as well as analyze data sets better. Although R is regarded better for analytics, Python is considered easier to learn of the two. Both languages fascinate businesses because they can handle complex or large quantities of data. Learning a language goes a long way in building a program that will collect, collate and analyze data.

Modern Statistical Thinking

Collecting, analyzing. and representing data are all parts of statistics. A strong foundation in probability and statistics is an important data analyst skill. Honing skills to develop modern statistical thinking will help an individual identify trends and patterns, avoid biases, fallacies, and logical errors in the analysis and produce accurate and trustworthy results.

Data Management

Managing data is of utmost importance, be it in any vertical of industry, as it interacts with different stakeholders over time. Storing data and information in such a way that it is cost-friendly and secure, helps data analysts to develop another skill set altogether. One can dive deep into how data works in the cloud and physical environments.

Presentation skills

For data to make sense, data analysts must perfect their presentation skills. Data visualization and presentation skills go hand-in-hand. After all, based on historical data, analysts can forecast future trends. Gain the job-ready skills for an entry-level data analyst role so that one can leverage technical skills to build a great career in the field of data analytics.

Things to Take Away!

Putting in time and effort and enrolling at a great center can help one to achieve great heights and propel one to succeed. To explore data analytics courses that can help one pursue a lucrative career in this field and assist in upskilling as well, join us now! Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Here’s Why Data Science Courses Are Gaining Momentum In 2022

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Here’s Why Data Science Courses Are Gaining Momentum In 2022

As we progress through the year, we can see that the job of data scientists has become a new most significant trend throughout the world, and data-driven decision-making is becoming more popular. No matter how small or large, every firm strives for qualified and skilled personnel who can grasp and effectively analyze data, making it the hottest profession and most desired vocation in any industry.

Data are essential for digital agencies since the ultimate goal is to extract brilliant and relevant insights from data to help companies use the power of data. This blog post will explain data science and give you some reasons why the data science course is gaining momentum in 2022.

What is Data Science, and how does it work?

Data is like the raw diamond in today’s technology-driven society, and Data Science is the mining infrastructure setup that makes the data valuable for reshaping the world. Self-regulating systems are impossible to construct without a massive amount of data. So, in 2022, Data Science would entail analyzing vast volumes of data for Business Analytics.

Data Science is a broad study of data acquired by diverse businesses for various commercial goals. It entails using numerous data analysis techniques to analyze data via the Internet.

Here are some reasons why data science courses are gaining momentum in 2022.

In healthcare, data science is critical for keeping track of patients’ health and assisting doctors in understanding illness trends and preventing sickness. Data Engineers are needed in the healthcare business to aid in developing automated systems for the analysis of complex data in clinical applications. 

The data mining engineer evaluates not just their own company’s data but also data obtained from external sources. A data mining engineer will design complex algorithms to help further examine the data and analyze it. 

Data scientists start by converting a business case into an analytics agenda, formulating hypotheses, comprehending data, and investigating trends to see how they affect organizations. They also research and select algorithms to aid in data analysis. 

Data scientists may utilize business analytics to explain how data will involve a company and help create solutions to assist the organization deal with these consequences in the future.

Software development is the most prevalent use of Data Science. Industries use Data Science and Machine Learning to create automated software development solutions. As a result, this business has a high demand for Data Science applicants. Customer data gets used by the e-commerce business to improve customer service and deliver a better user experience. 

Discover a data science career with Imarticus Learning

This certificate program in data science and machine learning helps students get started in data science and machine learning. This curriculum, created in collaboration with iHUB DivyaSampark @IIT Roorkee, will teach students the principles and elements of data science and machine learning and arm them with the necessary skills to apply these ideas to real-world issues. 

Course Benefits For Learners:

  • This 5-month curriculum, created by renowned IIT faculty members, will teach students how to utilize Python to understand data mining and machine learning techniques.
  • Learners will be able to acquire a strong foundation in data science and specialize in machine learning using Python for data-driven decision-making with this data science curriculum. 
  • The data science online training will be live via online sessions with India’s best teachers.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Understanding deep learning and convolutional neural networks

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Understanding deep learning and convolutional neural networks

Deep learning, a subfield of Machine Learning, is here to rule the roost. The problem, however, is that there are only a few Python programs that build your skills in tandem with your final goals. Those that do train you to enhance the understanding of convolutional neural networks in Artificial Intelligence and Machine Learning. 

There is one such certification that might catch your eye at Imarticus. Experts from IIT Guwahati build your future Data Science career by designing our A-grade Certification in Artificial Intelligence and Machine Learning. You can become a Machine Learning Engineer or a Data Scientist with this industry-approved Python Programming course. 

Why pick this course?

The certification has an excellent E&ICT Academy, IIT Guwahati, and Imarticus Learning-designed curriculum that is suitable for your career aspirations. The Python course will give you an edge over other tech and deep learning graduates who aspire to build sustainable futures. 

The entire curriculum is accessible online, but the mode of learning is hybrid because of real-world projects incorporated within the design. 

After you have aced the certification while learning at your own pace, you can join other professionals working at some of the best consultancies and tech companies today. During the 9-month certification course, you can also make the most of an excellent mentorship program. 

The course’s real-world projects will take you a long way in understanding deep learning and convolutional neural networks. They will also help you understand your job profile once you have integrated it into the everyday culture of your future workplace. Skill alignment with the company’s values bolsters the vision of Artificial Intelligence-led futures. 

Course features

It would be useful to remember a few salient features of the certification before signing up. Orienting yourself to benefit as much as possible from the curriculum and faculty is essential for a top-notch certification. 

  • The program aligns itself with your job prospects naturally. You participate in 25 hands-on projects and live sessions during the course. 
  • If you need to transfer your credits to a longer time frame, maybe even the next batch of students, there is an option to do so with a flexible learning system. 
  • Renowned industry leaders and a top-grade faculty will polish your skill sets in no time for you to reach your acme at any job. 
  • Improve your curriculum vitae with the recognition and value of this certificate course, designed by IIT-Guwahati, Imarticus, and E&ICT Academy. 

It is easy to see why all these features help you choose the right program for your career in Artificial Intelligence and Machine Learning. The meticulously designed curriculum and faculty enhance your raw talent swiftly and easily. They give you cutting-edge performance capacity in your future job. 

Your hard work and determination can seal those prospects that you choose to maximize through the hands-on training and live sessions. 

In closing

Python Programming is one of the basic coding languages that are useful for the foundation of your certification in Artificial Intelligence and Machine Learning with Imarticus. A Python course can help you build a foundation in your chosen field of work and contribute to a technology-driven, sustainable future. 

Understanding deep learning and convolutional neural networks is made possible through certification in Artificial Intelligence and Machine Learning. These salient aspects of the ‘future of humankind’ must be understood to build and sustain an equitable and harmonious future. 

Artificial Intelligence can open up these possibilities now rather than in some distant future. Understand Artificial Intelligence to build a sustainable outlook in the world of global trade and commerce with this certification today. 

Connect with us through live chat support on Imarticus Learning. Our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon are just a drive away. Come join us in learning about technology and the future.

 Learn The Basics Of Python In Six Minutes

Posted on by Imarticus Learning

Learn The Basics Of Python In Six Minutes

Learning to program or begin with a new language is not easy: We’re sure your mind is racing with all of the new concepts you need to absorb, and the onslaught of knowledge might be daunting at times.

Python is currently one of the most popular—and well-paid—programming languages globally.

This guide will teach you the fundamentals of Python. This Python training is ideal if you are new to Python programming. You will be familiar with Python programming after finishing this guide.

Why learn Python? 

It’s a programming language that’s been around for almost 30 years, and millions of individuals worldwide use it. Python is simple to learn, making it an excellent choice for beginning programmers. It also increases your productivity when writing code, so this guide will assist you in wanting to get started with coding or enhancing your current skill set!

Python installation is relatively simple, and many Linux and UNIX systems now contain a modern Python. Some Windows machines (particularly those from HP) now come pre-installed with Python. 

Here we start with the basics of Python Programming:

Syntax

There are no required statement termination characters in Python. To begin a block, indent it, and to end it, dedent it. Statements that need an indentation level get followed by a colon (:). Comments are single-line strings that begin with the pound (#) sign; multi-line strings are for multi-line comments. The equals sign (“=”) to assign values (in actuality, objects with names), whereas the equality sign (“==”) test equality. Using the += and -= operators, you may increase or decrease numbers by the right-hand amount. This works with a variety of data kinds, including strings. 

Data types: 

Python data structures include lists, tuples, and dictionaries. The sets library contains sets (but are built-in in Python 2.5 and later). Lists are one-dimensional arrays, and dictionaries are associative arrays (commonly known as hash tables). Tuples are immutable one-dimensional arrays (Python “arrays” can be of any type so that you can combine integers, texts, and so on). 

Strings

Its strings can contain either single or double quotation marks, and you can put one type of quotation mark inside another (for example, “He said ‘hello.'” is legitimate). Strings with many lines are in _triple, and double-quotes.

Flow control statements

If, for, and while are flow control statements. Instead of using if, there is no switch. Use to iterate over the members of a list. Use range(number>) to get a list of numbers you can iterate through.

Learn data analytics online with Imarticus Learning

This placement-assured data analytics course will teach students how to use Data Science in the real world and build complicated models that yield critical business insights and projections.

Course Benefits for Learners:

  • Students must understand the fundamentals of data analytics and machine learning and the most in-demand data science tools and methodologies.
  • Learners earn a tableau certification by participating in 25 real-world projects and case studies led by business partners.
  • Recent graduates and early-career workers should consider enrolling in data science and analytics programs since they are among the most in-demand talents in today’s industry.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Get a free 1:1 Imarticus counselling
Get a free 1:1 Imarticus counselling