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How To Become An AI Engineer In 2022

Posted on by Imarticus Learning

How To Become An AI Engineer In 2022

The ever-evolving technological field is full of innovative and interesting career opportunities. AI (artificial intelligence) engineering is a booming sector that offers exciting options and new challenges for professional development.  

AI engineers are accountable for training, programming, and developing composite networks of algorithms. This role demands expertise in data engineering, data science, programming, and artificial intelligence. 

AI developers recognize & source data from multiple sources to test and develop machine learning models. They can use embedded code or APIs (application programming interfaces) to implement and design AI-based applications. 

To become an AI engineer, it is essential to have an undergraduate degree in a relevant field such as data science, statistics, computer science, or information technology. Thereafter, they can register for a recognized artificial intelligence course to improve their skills. Read on for more details!

Detailed Steps to Learn AI in India 

Follow the pointers below to become a successful artificial intelligence engineer:

Choose the science stream in class 12

Students must opt for science subjects, namely mathematics, chemistry, and physics, in class 12. Statistics may also be one of the core subjects in their curriculum. Such subjects will enhance the knowledge base for higher studies. 

Complete graduation in the required field  

Aspirants may either choose a 3-year B.Sc. course or pursue a 4-year engineering program such as B. Tech in AI. They can also opt for engineering courses in relevant branches such as computer science or IT and select artificial intelligence as a specialization paper along with data science and machine learning.

They need to crack the Joint Entrance Exam (JEE) to get admission to the best engineering institutes, namely IITs, NITs, and IITs, Hyderabad. 

Earn a postgraduate degree 

Though not mandatory, pursuing a postgraduate course in a similar field may boost employability, improve earning potential, and develop a skill set. It can offer students niche technical skills and comprehensive knowledge of that subject. Students may have to qualify for GATE to get admission into engineering programs. 

Get certifications 

Registering for AI-powered diploma or certification courses can enhance professional skills in a more cost-efficient way. Aspirants may also pursue a postgraduate or graduate diploma in machine learning (ML) and AI. Selected institutes, such as Imarticus, offer deep learning, data science, and machine learning certifications to make candidates job-ready.   

Search for jobs 

After gaining expertise in these fields, students can apply for the job profiles of AI specialist, data analyst, robotics engineer, machine learning engineer, and data scientist. They may start as entry-level executives and improve their skills to reach higher positions. 

AI engineers need to develop critical thinking capability, collaboration skills, communication skills, business intelligence, analytical skills, programming skills, and mathematical skills to flourish.   

Roles of AI engineers 

AI engineers will be responsible for the following:

  • Transforming ML models into application programming interfaces
  • Building AI models 
  • Developing infrastructure to transform data 
  • Automating crucial processes and functions for data science teams 
  • Carrying on statistical analysis & interpreting outcomes to assist a company’s decision-making process 
  • Managing and building the AI development procedure, and a product’s overall infrastructure 
  • Coordinating with professionals such as data scientists, coders, programmers, and other stakeholders
  • Explaining the essence of AI models, the design for several individuals inside the company, including product managers and stakeholders

Conclusion 

AI engineers are experts who minimize the gap between computed generated outputs and human thoughts. They play multiple roles concerning programming, design, research, data analysis, and data mining. 

Artificial Intelligence is a dynamic technology that every field makes use of. Its usage will grow dramatically shortly, and AI engineers will have ample career options. AI and ML are developing branches that will greatly influence the success of organizations and businesses. So, build your skills through an artificial intelligence course in India!     

Here’s Why Upskilling With A Machine Learning Course Is Imperative In 2022

Posted on by Imarticus Learning

Machine learning has incorporated itself into your everyday lives to a great extent. This futuristic technology is empowering the world a little more with each passing day. Be it product recommendations at window shopping, fraud detection in the financial institutions, or content used by various social media platforms like Instagram, Facebook, and LinkedIn, everything uses machine learning algorithms. Simply put, machine learning is the future and it plays a very important role in our lives. And this is what makes machine learning so important. 

It doesn’t matter in which field you’re in, you can take your career to the next level by taking a machine learning course. In this blog, we will discuss why you need to upskill with a machine learning course in 2022!

Machine Learning

Why Machine Learning Course in 2022? 

Machine learning has emerged as the most sought-after skill to have because of the increasing demand and the numerous benefits that it offers. Below are some reasons why a machine learning course is imperative in 2022:

1. Better Growth and Career Opportunities 

A TMR report suggests that Machine Learning as a Service (MLaaS) is expected to rise from just $1.07 billion (in 2016) to a whopping $19.9 million by 2025. As you can see, this is not normal growth, the demand for ML is increasing exponentially. 

If you’re planning to give a boost to your career then ML is the best tool to do that. Learning this course can help you become a part of both the global and contemporary world. Machine learning is not limited to just the IT industry, it has a strong foothold in areas like cyber security, medicine, image recognition, facial recognition, and many more. As more and more businesses are realizing that this technology is impacting their business, they are investing more and more in it. 

For example, Netflix has put a reward of $1 million to anyone who can sharpen their machine learning algorithm by increasing its efficiency to 10%. This clearly indicates that even the slightest enhancement of ML algorithms can offer immense profit to the company, and thus more and more businesses are behind people who know ML. 

2. Attractive Salaries 

If you’re looking for a hike in your salary, then there is no better way than upskilling with a machine learning certification. Believe it or not, the best machine learning professionals earn as much as the popular sports personalities. According to Glassdoor.co.in, the average salary of a machine learning engineer is INR 10 lakhs per year ﹘ and it is their starting salary which eventually goes as high as INR 15 to 25 lakh per annum. 

3. Lack of Machine Learning Can Be Harmful to Companies 

Technological advancements are happening at the speed of lightning. And due to this, many corporations are left behind. Digital transformation is a vast field, and the fact is, there are not enough ML professionals to cater to increasing demands. 

If we look at the stats, then a New York Times study that took place in 2017 stated that the total number of professionals in the AI and ML field was less than 10,000 people all across the globe. 

This number is most likely to both increase and decrease. It is likely to increase because of the increased number of job opportunities that are being created, and it’s likely to decrease because more and more people are upskilling with ML every day. 

The best part about upskilling with ML is that you don’t need to have an advanced set of skills and qualifications to take a machine learning course, anyone from any background can learn it. 

Machine Learning is the Heart and Soul of Data Science 

There is no doubt that data science rules the market because of its innovative viability and all-explaining nature. And machine learning is the heart and soul of this pioneering technology. By becoming proficient in ML, you can build your career in the field of data science as well. Note that many organizations have data scientists and ML engineers working hand in hand to complete highly demanding tasks. You can get exposure to the world of data science while having a chance to learn and work with industry-leading experts. 

How to Get Started with Machine Learning in 2022?

Once you’ve made up your mind to become a machine learning expert, you’re just a step away from upskilling your career. All you need to do is find and enroll in the right machine learning course or certification program. With a combination of the right ML course, deduction, practice, and experience, you can soon become a machine learning professional. 

The Bottom Line

That’s all about why machine learning is the best way to upskill in 2022. We have discussed everything from the importance of machine learning, its potential benefits, and why you should learn machine learning. It’s up to you to use this data to make the right decision. 

Python Course for Beginners – About Python Program, Salary and Trends in 2022

Posted on by Imarticus Learning

Python Course for Beginners – About Python Program, Salary and Trends in 2022

How do I start Python for beginners?

Python is a high-level programming language that Guido van Rossum created in 1989. It’s also great for beginners because it has a simple syntax that makes it easy to write code. Python is an open-source language, and you can download it for free. You can use Python on your computer or in the cloud! 

Python is the most popular language for data scientists and AI. A common myth is that it’s hard to learn Python, but this guide will show you how to learn Python online in 2022!

Why learn Python? Which course is best for 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! 

Is Python too hard to learn? Learn The Basics Of Python In Six Minutes

How to learn Python online? 

If you are a newbie to programming with no knowledge of algorithms or coding, do not worry. You will have no problems learning Python as the programming language comes with a simple and easy-to-use syntax. 

At the very beginning of Python training, we will learn how to install Python and run it on systems. The majority of Mac and Linux systems have Python pre-installed in them. However, it is important to check if the latest version is present or not. 

Get started with Python here 

How to turn your python scripts into machine learning tools?

Python is a powerful tool for automating tasks, and it has many libraries that allow for easy integration with machine learning tools. Internal tools for every significant machine learning project are inevitably buggy and unmaintainable. 

Fortunately, there is a better way by using Python’s Machine Learning Server; you can turn your python scripts into machine learning tools that are scalable and easy to use. Read more here 

Can you use SQL with Python?

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. 

How SQL and Python are Changing the Future of Data 

Why Python is best for Data Visualization

Python is one of the most versatile programming languages in the world. You can use it in many industries, including data science and analytics. This blog post will discuss four core competencies needed to reach the next level of data visualization with Python. With these skills, you will create stunning visualisations that will help you understand your data better!

4 core competencies to discover the next level of data visualization in Python

Using Excel and Python for Data Science

In the year 1987, Microsoft created the spreadsheet program known as Excel. Almost all operating systems, including Windows, Android, etc., formally support it. It already has the Windows OS pre-installed and is simple to connect with other systems. Microsoft Excel is the most powerful and widely used application for working with structured data.

A Python Guide For An Excel Person 

Why Gaining A Supply Chain Certification From IIT Is Different

Posted on by Imarticus Learning

Why Gaining A Supply Chain Certification From IIT Is Different

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. 

How They Got There: Transitioning To Data Science

Posted on by Imarticus Learning

How They Got There: Transitioning To Data Science

The emergence of big data has prompted businesses to rely on data to make informed decisions. But how do you make sense of all that data?  That’s where the data scientist enters the scene.

A data scientist collects, analyses, and interprets data to make business recommendations. They do this by using AI, Statistics, and Computer science. They can apply these skills to a wide range of industries such as healthcare, finance, and retail.

The Data science career is an excellent choice for those interested in working with data. And it’s pretty rewarding with the right skills. Whether you want to advance in your career in data science or start, many options are available. One of the most effective ways is through data science courses.

These courses enable students with the right skills and knowledge to succeed. Let’s explore how you can transition with the help of proper data science online training.

Transitioning to Data Science via Applied Learning Courses 

The easiest way to transition to the data science space is to learn the fundamentals of the subject. Consider enrolling in a data science online training program that incorporates applied learning.

This learning method is convenient since students are not restricted to physical classrooms. Also, it offers students the flexibility to learn at their own pace, anywhere, and at any time. 

The learning model in an online environment is flexible and includes various resources. These include videos, lectures, articles, books, and one-on-one interactions with the instructor. Next, let’s talk about what you’ll need to learn in your data science course.

Data Science Online Training Curriculum

To transition into data science, you’ll need to learn the fundamental concepts, including:

  • Statistics
  • Probability Theory
  • Probability Distributions
  • Hypothesis Testing
  • Statistical Tests

These topics form the core of any data science course. Moreover, an understanding of Machine learning and Predictive Modelling is also required. Apart from these topics, you’ll also learn about some essential tools and languages. These include:

  • Python
  • Tableau
  • SQL
  • NumPy
  • Pandas

Combining these tools with fundamental concepts will help you in your data role.

What Makes a Good Data Science Online Training?

So, we’ve considered the curriculum requisites for transitioning into a data science career. Now, let’s examine what makes a great data science course based on applied learning: Faculty from top institutes such as IIT/IIM and other industry experts.

  • Live instructor-led online sessions with access to the session recordings and notes.
  • Online discussion with course faculty and peers to clear doubts and brainstorm.
  • Real-world case studies and live projects to provide insight. These concepts can predict property value, heart disease, taxi fare, etc.
  • Regular assignment assessments to track progress.
  • A Capstone project to collate and present the course learnings.
  • Career support activities, including resume-building workshops and mock interviews for job placements.
  • Startup mentorship and funding for those looking to start their ventures.
  • Certification of completion.
  • Access to an alumni network and a chance for an on-campus immersion program.

A course providing these things will ensure that you learn data science skills and make data-driven decisions. One such data science online training based on the concept of applied learning is offered by Imaticus Learning.

About Imaticus Learning

Imarticus Learning, in collaboration with iHUB DivyaSampark @ IIT Roorkee and the Department of Science & Technology (DST), offers one of the best certification programs in Data Science and Machine Learning. 

Since the program is made especially for early and mid-level professionals, you’ll understand the various aspects of data science and learn how to implement and apply these concepts to real-world problems. 

Imaticus Learning covers all the points that make for excellent data science online training program, as mentioned earlier. Check out the success stories of those who transitioned into the data science field. Some alumni work with big brands such as Accenture, Capgemini, KPMG, etc.

You can visit the Imarticus Learning website for live chat support. You can also drive to one of their training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Conclusion

As data becomes central to decision-making in organizations, those with the skills to analyze and interpret it will be in high demand. Starting or transitioning to a data science career requires a strong foundation. And to help you with that, you can look for result-oriented data science courses.

Attending these courses helps you develop the skills needed to become a top Data scientist, Data Analyst, Business analyst, Data manager, Business Intelligence expert, etc.

This blog discussed what constitutes a top data science online training program and explored one such institute in Imaticus Learning. Feel free to check it out. Also, let us know your opinion on the necessary things for transitioning into the data science career.

How AI certification can revolutionize recruitment?

Posted on by Imarticus Learning

How AI certification can revolutionize recruitment?

As artificial intelligence evolves and becomes sophisticated, its impact on various industries will inevitably be profound. One area where AI is already beginning to impact significantly is recruitment.

With the help of AI certification, recruiters can now efficiently and effectively screen candidates for jobs by analyzing their resumes and identifying the best candidates for the position. This blog post will explore how AI certification can revolutionize recruitment.

What is AI certification, and how does it work?

 AI certification is a process by which individuals can prove their proficiency in artificial intelligence. The certification exam tests candidates’ understanding of AI concepts and their ability to apply these concepts to solve real-world problems.

AI certification can be a valuable asset for job seekers as it can help them stand out from the competition and demonstrate their skills to potential employers. Additionally, AI certification can help employers identify candidates with the necessary skills to fill open positions.

Overall, AI certification is beneficial for both job seekers and employers alike. It can help job seekers showcase their skills and knowledge while assisting employers in identifying the best candidates for vacant positions.

Here are some ways in which AI certification can revolutionize recruitment.

First and foremost, AI certification can help identify the most suitable candidates for a role. By analyzing a candidate’s qualifications and experience, an AI system can shortlist the best matches for the job. It means that recruiters can spend less time sifting through CVs and more time interviewing the most promising candidates.

Secondly, AI certification can help to streamline the recruitment process. By automating repetitive tasks such as CV screening and candidate assessment, an AI system can free up recruiters’ time to focus on strategic tasks. It can result in a faster, more efficient recruitment process that saves time and money.

Finally, AI certification can help to improve the quality of hires. An AI system can identify the key characteristics that make a successful employee by using data and analytics. This information can then screen candidates and select those most likely to succeed in the role. As a result, AI-certified recruitment systems can help reduce turnover and improve the quality of the workforce.

AI certification is thus a valuable tool for recruiters. By helping to identify the best candidates, streamline the recruitment process, and improve the quality of hires, AI certification can revolutionize the way businesses recruit employees. In today’s competitive market, those who embrace AI-powered recruitment will have a significant advantage over those who do not.

Discover the Artificial intelligence and Machine Learning course by Imarticus Learning:

The Artificial Intelligence and Machine Learning certification from the E & ICT Academy, IIT Guwahati, and the best industry experts is a great combination. This certification will teach students to become data scientists, data analysts, machine learning engineers, and AI engineers.

Course Benefits for Learners:

  • Prepare for a fascinating data science job by completing 25 real-world projects that provide you with industry experience.
  • Impress employers and demonstrate your Artificial intelligence certification with an E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed certificate.
  • Students can now participate in live online seminars and discussions with one of the finest instructors in India.

5 Business Analytics Course Blogs You Need To Read

Posted on by Imarticus Learning

5 Business Analytics Course Blogs You Need To Read

Organizations are rapidly growing and adapting, and data is becoming an ever-changing commodity. A company’s performance is strongly dependent on various elements, with studying Business Analytics is one of the most important. Learning about the many levels of business intelligence is essential for a successful corporate career. 

Here are the top 5 business intelligence blogs to follow for insider insights, upcoming trends, and other material to help you outshine this sector as part of your continuous business intelligence education. These blogs can help you become a sophisticated and talented BI master.

Here are 5 Business Analytics Course Blogs you need to read: 

  • Adrian Reed’s Blog

Adrian Reed is a fantastic storyteller who blogs on many themes to emphasize the importance of business analysis. This is one of the most active business analysis blogs on the internet.

  • Phocas Business Intelligence blog

The Phocas Business Intelligence Blog avoids excessively technical topics. You won’t find many posts with lines of code or opaque language. Instead, you will have the chance to master the fundamentals of data analytics and how to use what you have learned to make educated business decisions at work. As such, it’s the site that marketing, HR, finance, and sales professionals would appreciate.

  • Forrester Business Intelligence

For over 40 years, Forrester has been assisting firms in understanding and reaching their audiences, which is why it is on the list of business intelligence blogs you should follow. While Forrester works with a wide range of businesses, not all of its material is about business intelligence. However, you can anticipate Forrester to publish business intelligence articles among its various content pieces on the site, and you can quickly jump right to BI topics that may interest you.

  • Bridging the Gap

This website, owned by Laura Brandenburg, is dedicated to assisting people in beginning their careers as business analysts. It provides various tools such as business analysis books, courses, templates, and free articles. This is one of the top business analysis blogs providing information on how to begin a career in business analysis.

  • Eric The BA

Eric is a passionate blogger as well as a competent business analyst. He is passionate about simplifying things and explaining complicated topics to clients.

Discover data analytics certification courses online with Imarticus Learning

We build predictive models that improve business outcomes by learning how data science gets applied in the real world. This data analytics course with placement is appropriate for professionals and recent graduates who wish to pursue a career in data science and analytics. 

Course Benefits For Learners:

  • Learn how to become a data analyst and master the abilities of Python for data science, SQL, machine learning, and data visualization.
  • 25 in-class, real-world projects will help you master data science abilities. Participate in hackathons, capstone projects, and mock interviews to develop practical skills.
  • Our curriculum includes capstone projects, real-business initiatives, pertinent case studies, and mentoring from relevant industry professionals to assist you in becoming a skilled data scientist.

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

4 key differences between AI courses and robotics

Posted on by Imarticus Learning

4 key differences between AI courses and robotics

Artificial Intelligence and robotics are branches of science that people often get confused with. People think that they are related to each other, that one is a branch of the other. The fact is, though they serve some similar purposes of automation of some systems, they are entirely different.

Those who want to pursue a career in either of these must understand this difference. One should not enrol for an AI certification thinking that it deals with making robots. Let’s find out what are the main differences between AI and robotics. 

Artificial Intelligence vs Robotics

An artificially intelligent robot is what is making the public confused about the relationship between AI and robotics. The main differences between them are mentioned here.

  1. Robotics is a branch of engineering while Artificial Intelligence is a part of computer science.
  2. Robotics creates robots that have a physical form, while AI creates smart machines that can solve problems for humans or make their tasks simpler.
  3.  Robots are programmed to do different tasks which enables them to be autonomous or semi-autonomous. They cannot make changes on their own. On the other hand, algorithms can make modifications based on the input they get, using machine learning or similar tools.
  4. Artificial intelligence is widely used in the daily lives of the public while robots are used in selected areas, which is very low at the moment. 

At the same time, it should be noted that not all robots that we know about have a physical form. The term ‘bots’ refers to robots but the one that most of us see in our day-to-day lives refers to the chatbots, search engine bots, etc are software and are only part of the digital world so they may not be called real robots. 

Where do AI and Robotics meet?

AI and robotics meet where Artificial Intelligence is used in the programming of the robots to make them intelligent. They are known as intelligent robots where the robots make the physical part and the AI forms its ‘brain’. Such robots can move, pick up things, and can also keep them at their specific places.

What helps the robot here are AI algorithms and a camera that helps determine the usual places. AI here almost works as a ‘sixth sense’ where the robot can be sensitized to use its various ‘senses’. 

Future of AI in robotics

AI and robotics are here to stay for a long time. This combination could perform several tasks very well, regardless of how complex they seem to be. People could own a robot and even be able to train them to do customized jobs for them. Intelligent robots could be useful in various industries such as delivery systems, agriculture, etc. 

One can find several AI and Robotics courses. Those who want to pursue that career could start with the Artificial intelligence and Machine Learning course that introduces them to all the latest technologies and tools in this field. The AIML course at Imarticus is conducted by the IIT Guwahati. Participants for this course will be getting lectures directly from the academic professors as well as from the experts in the industry.  

Conclusion

One of the cons of the future of AI and robotics is the lack of enough creativity to practically use them. To counter this, we need more interested people in the AI industry. The primary step towards this should be the Artificial Intelligence certification, both entry-level and intermediate. At Imarticus, one can find one of the finest courses that will provide expertise, experience, and proper guidance. Enroll now!

A Python Guide For An Excel Person

Posted on by Imarticus Learning

A Python Guide For An Excel Person

The most widely used programming language today, Python, has countless uses in various industries. It is the best option in terms of deployment and maintenance, thanks to its dynamic and flexible capabilities. MS Excel is one of the well-known Microsoft programs that functions like a spreadsheet and is used to store and analyze numerical data. 

It was among the first tools businesses worldwide used to evaluate data and draw conclusions. The phrase “conventional BI tool” is also used to describe it. You may easily transmit data from any source to any destination by using Python Excel Automation. 

Using Excel and Python for Data Science

In the year 1987, Microsoft created the spreadsheet program known as Excel. Almost all operating systems, including Windows, Android, etc., formally support it. It already has the Windows OS pre-installed and is simple to connect with other systems. Microsoft Excel is the most powerful and widely used application for working with structured data. 

Your data is arranged, processed, and stored in a tabular row-column format. Calculations, pivot tables, graphs, and much more are all possible! Since its introduction, this program has grown in popularity and is used extensively around the globe in various application sectors and domains. 

How Can Python Automate an Excel Spreadsheet?

Step 1: Analyze the datasheet 

Analyzing the Dataset is the first stage in Python Excel Automation. This lesson makes use of a sales dataset.

Step 2: Using Pandas to create pivot tables

Designing pivot tables is the next step in Python Excel Automation. Pandas often read an excel file, which generates the pivot table and exports it to Excel. Then, you can create charts and spreadsheets in Python and write Excel formulae using the Openpyxl module.

Step 3: Using Openpyxl to design the Reports

Designing the reports is the next phase in Python Excel Automation. You must use the “load workbook” function from Openpyxl to create the report, and you can save using the “.save()” method.

Step 4: Using Python to automate the report

The automation of your report is the next Python Excel Automation step. To make it simple to automate the report, you may write all the code in a single function. 

Discover Python Certification with Imarticus Learning

We build predictive models that improve business outcomes by learning how data science gets applied in the real world. This ensured placement program is appropriate for professionals and recent graduates who wish to pursue a career in data science and analytics. 

Course Benefits For Learners:

  • Learn how to become a data analyst and master the abilities of Python for data science, SQL, machine learning, and data visualization. 
  • 25 in-class, real-world projects will help you master data science abilities. Participate in hackathons, capstone projects, and mock interviews to develop practical skills. 
  • Our python tutorial includes capstone projects, real-business initiatives, pertinent case studies, and mentoring from relevant industry professionals to assist you in becoming a skilled data scientist.

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

An Introduction To The Certificate Program In Data Science And Machine Learning In Association With Ihub Divyasampark @ IIT Roorkee Course

Posted on by Imarticus Learning

An Introduction To The Certificate Program In Data Science And Machine Learning In Association With Ihub Divyasampark @ IIT Roorkee Course

Introduction 

In today’s world of innovation, data science is a wonderful opportunity. It makes great use of technologies like artificial intelligence, machine learning, analytics, and more. The recent technological revolution in the industry has significantly increased the demand for these elite technological talents.

Data science trends

Data science is currently emerging as a very demanding trend in the industry. The size of the Data Science Platform market is projected to increase from USD 95.3 billion in 2021 to 322.9 USD billion in 2026, with a compounded annual growth rate of 27.7% over the forecast period (CAGR).

As business modernization and digitization double, data continues to grow. By 2025, the global data sphere will have 175 zettabytes of data, according to Seagate UK. And the data crafter is in high demand.

The US Bureau of Labor Statistics estimates that the growing importance of data science will create approximately 11.5 million jobs by 2026.

Data science vs. machine learning – which one is a promising career? 

Machine learning engineer and data scientist are two of the most popular jobs in the industry. Writing code and distributing ML solutions is the primary responsibility of an ML expert. Data experts, on the other hand, examine raw data and extract useful information from it. Over time, the line between machine learning engineers and data scientists is narrowing as technology integrates their work into a single solution. Professionals who can organize this vast data to provide business solutions will be in high demand.

If you get a chance to learn both subjects in the same program, you will be lucky. Right?

Why train yourself in data science and machine learning?

According to a 2021 India Talent Trends report published by recruitment firm Michael Page, data science professionals with 3-10 years of experience earn an annual salary within the range of Rs 25-65 lakh, while those with more experience can offer a salary package of more than a crore.

If you are a beginner in the IT industry or a mid-level developer aspiring to become a data scientist or machine learning engineer, you can confirm your career with a certificate token in the data science/machine learning programs available online. Many data sciences online training providers conduct short dredging courses in data science and machine learning. You can choose one of the best data science courses available.

Of course, those who want to pursue a career in data science, machine learning, data analytics, or even business analysts need to recharge their skills in the data science domain. Certification programs in data science and machine learning will help them align their qualifications. Go to the course and visualize yourself on the path to your dream role as a data analyst, data scientist, data manager, BI expert, business analyst, data analysis consultant, or similar. 

Data science certification

The certification program in the Data Science and Machine Learning program at Imarticus Learning is an ideal opportunity for new graduates and those in transition to a career change in data science and machine learning. This is a 5-month live online training program designed by the top faculty members of IIT and industry experts.

Program outcome

You will learn the basics and aspects of data science and machine learning. Students can build a strong foundation in data science. Using Python, you can specialize in machine learning with core algorithms and data-driven decision-making. When you exercise with the right knowledge, the use of learning in live projects helps solve real-world problems.

The guidance and mentoring of industry experts with extensive experience working in the data science and machine learning domains in many organizations certainly help students to excel in project work. The great thing about project work is that you get to work in various industry domains, adapting to your current work domain or your subject specialization.

Some interesting examples of projects are:

  • Developing a predictive model for property valuations in real-estate companies
  • Fare prediction of online taxi service in transportation/logistics sector companies
  • Vaccine prediction using patient medical attributes analysis in the healthcare industry 

The resources behind this program

This course is thoughtfully designed to create the entrepreneurs of tomorrow under the scheme of Digital India Support, tagged iHUB DivyaSampark @ IIT Roorkee. The program also provides an excellent platform for those young learners who are enthusiastic and startup-minded. Such entrepreneurs can develop innovative ideas to implement and gain funding support.

You will receive a certificate issued jointly by iHUB DivyaSampark @ IIT Roorkee, Department of Science and Technology (DST), and Imarticus Learning.

Please contact us via live chat and/or message to get more information about the courses or visit one of our training centers in Mumbai, Thane, Pune, Delhi, Gurgaon, Chennai, and Bangalore. 

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