Contact Us
×

Category: Management

Do You Need An Artificial Intelligence Certification?

Posted on by Imarticus Learning

Do You Need An Artificial Intelligence Certification?

AI is becoming one of the most promising and in-demand career paths today. It offers many opportunities for those with the right skill set to enter this booming industry. 

The demand for AI professionals keeps rising as more and more businesses turn to AI to improve operations and increase efficiency.

 If you want to work in AI, you may be wondering what you need to do. One way to learn AI is through an artificial intelligence course. 

If you are interested in learning more about AI, here are 8 reasons why you should earn certification in this field. 

  • Stay Up-to-date 

AI is an emerging technology, and professionals need to stay in touch with the latest trends and developments.

An artificial intelligence course provides the latest information on AI technologies and applications. Moreover, this also demonstrates your commitment to learning.

  • Validation

A certification from a top institute validates your skills and gives you credibility. This shows employers that you have the skills to work with AI technology. 

So, it’s vital to ensure that your skills are indeed validated and that you can use the certification to further your career. Imarticus Learning offers a globally recognized artificial intelligence course collaborating with IIT Guwahati.

  • Future-Proof Career

A career in AI is an excellent choice for anyone looking for a future-proof job. As artificial intelligence evolves and becomes more prevalent in society, those with the skills to work with AI will be in high demand.  So, if you decide to learn AI and take it up as a career, it’ll help you stand out from other job candidates.

  • Improves Employability

Certification from a top institute improves your employability. For instance, completing an artificial intelligence course, like that offered by Imarticus Learning, increases your employability. 

The AI and ML fields offer pretty high salary packages for their roles. For instance, the average package in India is around INR 15-40 Lacs for ML and AI roles.

You can apply your newly learned skills in various fields, such as healthcare, finance, manufacturing, and logistics.

  • Improves Marketability

An AI certification can increase your marketability, whether you want to change careers or advance in your current field.

Companies seek workers who can automate processes and make data work as the world becomes technology-driven.
An AI certification proves that you have the skills to make this happen.

  • Technical Competence

An AI certification will give you the skills to stay ahead of the curve in an increasingly competitive field and help demonstrate your proficiency and show employers that you are serious about your career in AI. 

AI programs, based on application-based learning skills, provide you with skills to build your own AI applications and apply them in a way that will benefit your business.

  • Understanding AI

Before enrolling in an AI certification course, you need to check its curriculum. In addition, you can also learn about the faculty and industry experts who’ll help you better understand how AI works. 

The course curriculum will build a strong foundation of AI concepts. And the industry experts will help with the practical implementation of machine learning, deep learning, and AI techniques through real-world projects in diverse industries.

Imarticus Learning offers an AI course with an extensive curriculum covered over nine months. 

  • Specialization

An AI certification will allow you to specialize in a particular area of artificial intelligence. AI is a vast field with many sectors and specializations. 

Here are some of the most common roles you’ll find in AI:

  • Machine learning engineer: works with data to develop and train machine learning models.
  • Business analyst: analyses business and documents its systems, assessing the business model.
  • Data analyst: interprets data and makes recommendations to help improve business decisions.
  • Web & social media analyst: analyses web and social media data to help improve online visibility and engagement.
  • Artificial intelligence engineer: develops and deploys AI algorithms and applications.
  • Data scientist: collects and analyses large data sets to find trends and insights.
  • Machine learning architect: responsible for designing and developing machine learning models and algorithms.

These are some roles you can apply to after learning AI.

Conclusion

The field of artificial intelligence is one of the most rapidly growing and exciting areas in the tech industry. If you want to enter the field of AI or advance your career, a certification may be beneficial. 

Getting a certification in AI can help you stay ahead of the curve and land a job in this cutting-edge field. This article looked at 8 reasons why you should earn accreditation in an artificial intelligence course. 

You can learn AI through Imarticus Learning’s IIT artificial intelligence course. Contact Imarticus or visit one of their centers to learn more about their world-class AI certification. 

So You Want A Data Science Career? Start By Doing This

Posted on by Imarticus Learning

So You Want A Data Science Career? Start By Doing This

If you are searching for how to start building a robust data science career, then you must have come across hard skill terms like machine learning (ML), analysis, and statistics. Apart from the hard skills, you should also possess soft skills like persuasive communication and critical thinking if you want to grow up in this role. The industry of data science is vast with endless opportunities so you just need to have the required skills and education to land your dream job in the future.

What are the different career options in data science?

Here are some of the most common job titles you can be entitled to if you want a career in data science: 

Data Mining Engineer 

A data mining engineer not only examines the data of their own business but information from third-party as well. Apart from analyzing data, a data mining engineer also develops complex algorithms for analyzing the data. 

Business Intelligence Analyst 

These analysts figure out business and market trends by using data. They analyze data and develop a clear picture of the company’s position.

Data Scientist 

Data scientists can translate any business case into an analytical agenda, creating hypotheses, interpreting data, and discovering patterns to measure the impact they create on businesses. They can also select relevant algorithms to help in analyzing the data further. Their role is not just limited to explaining what impact will be created by data on the company but also to bring out solutions that will be helpful for the company in dealing with these effects in the future. 

Data Architect

A data architect works in close association with system designers, developers, and users for creating blueprints that are used by data management systems to integrate, centralize, maintain and safeguard the sources of data.

Senior Data Scientist 

A senior data scientist has the potential to anticipate the future needs of a business. They collect data and also analyze it thoroughly to get through very complex business problems smoothly. Using their prior experience, they can design new standards and also drive their development. They also find out ways in which they can use the statistical data and create tools for analysis. 

An overview of Imarticus’ certificate programme in data science and machine learning

Our certificate program in data science and machine learning has been curated to help you know the initials of data science and machine learning. In collaboration with iHUB DivyaSampark @ IIT Roorkee, we have designed this programme to help individuals learn the fundamentals along with various aspects of data science and machine learning.

In the process, you will be also equipped with the knowledge required to implement these concepts to real-life problems. You will also know about data mining and machine learning tools using Python. One of the most remarkable aspects of this 5-month programme designed by eminent IIT faculty members is that it teaches you how to use data-based insights to create a positive impact on organizational growth. 

This particular data science programme will also help individuals build a very strong base in databases and gain specialization in machine learning with Python as it will lead to data-oriented decision-making. This programme is an attempt to raise professionals who can render meaningful data insights and help businesses follow the right path to achieve their growth objectives. 

Why choose Imarticus’ certificate programme in data science and machine learning?

There are plenty of data science courses available but the programme that we offer stands apart from the rest in many aspects, such as: 

Get LIVE training sessions by IIT faculty and industry experts 

The programme will be delivered to you live through online classes taken by top Indian faculty belonging to IIT Delhi, IIT Roorkee, and other distinguished institutes. Industry experts also have intense knowledge about data science and machine learning as they have been working on relevant projects in several organizations. 

Startup mentorship and funding programme

Those who are enthusiastic about start-ups can also pitch ideas and seek funding support on this platform created by iHUB DivyaSampark @IIT Roorkee under the national scheme of Digital India. 

Recognition from iHUB DivyaSampark @ IIT Roorkee and the Department of Science and Technology 

Once you complete the programme, you will receive a certificate issued by iHUB DivyaSampark @ IIT Roorkee, Department of Science and Technology in partnership with Imarticus Learning under NM-ICPS. The certificate will create a huge impact on your profile and will give a boost to your data science career. 

Conclusion

So, if you have already decided on starting a career in data science and machine learning, what are you even waiting for? Go ahead and get registered for this certificate programme on our website. You can also call us to chat with us to know more details about this certificate programme that is a magic wand for all data science aspirants. 

Supply Chain Planning Courses: Best Practices To Adopt In 2022

Posted on by Imarticus Learning

Supply Chain Planning Courses: Best Practices To Adopt In 2022

Supply chain management (SCM) is vital for a company’s growth and performance in the industry. A good SCM system can also help determine the business’s future and its serviceability in the future.  If done correctly, it can determine if the company will make it or break it.

Increased sales and overall better performance of an organization are directly proportional to how successfully a corporation handles the process of taking a product or a service idea to the finished items. This is indeed a tough and long process with a lot of moving pieces.

A supply chain management career is one of the most sought-after career options amongst students and working professionals looking to change careers or upskill and reskill themselves nowadays. If you are interested in this field, then this is the perfect time for you to dive deep into exploring this exciting new career opportunity. 

Give a quick read to this article to know more about the various aspects of supply chain planning in detail.

What is Supply Chain Management?

Supply chain management or SCM is the management of a product’s or service’s full manufacturing cycle, from raw materials through the final delivery of the items to the customer. Therefore, a business establishes a network of suppliers in its company who transports products from raw material suppliers to the organizations that deal with customers.

For example, a clothing and accessories company’s supply chain management will deal with all the processes of manufacturing items, then transporting them to a place for warehousing, and finally packaging and shipping them as the client orders on a day-to-day basis.

Why is Supply Chain Management Important for a Business?

A well-thought-out supply chain management or SCM plan not only helps in fulfilling the day-to-day activities of an organization but also possesses the ability to quickly diagnose problems in any of the steps and creatively solve them within minutes. Below are some of the reasons why supply chain management is a core part of any business:

  • For any company in any industry, its customers are the most important thing if the business wants to earn profit and grow. Customers will always expect their desired products and services to be delivered to them as soon as possible. Thus, it falls on quick and solid supply chain management to deliver with precision in order to satisfy the client’s needs.
  • Customers also want their things to arrive on time, without any delays. For example, if a pizza delivery company promises to deliver pizzas in less than 30 minutes, but is unable to maintain this timeframe repeatedly, then its customers will automatically feel betrayed and look for better options.
  • Manufacturers and retailers rely on efficient supply chain management to develop a high-functioning network that satisfies the highest customer service requirements at the lowest total cost.
  • Good supply chain management can drastically reduce operating, production, and purchasing costs. Retailers and manufacturers rely on supply networks to get items quickly. As a result, they would not be losing their valuable time.

Roles and Responsibilities of a Supply Chain Manager

Below is the list of roles and responsibilities of a supply chain manager:

  • A supply chain manager should be able to get together with all the other departments and maintain an effective communication system to maintain a successful supply chain.
  • They have to create and maintain a precise inventory of goods and supplies throughout the organization’s sites and warehouses.
  • Basic knowledge of data analysis is a must for supply chain managers. As it will help in giving recommendations by looking at the current inventory and processes.
  • A supply chain manager is also a person who develops strategies, which will enhance supply chain efficiency while maintaining quality and safety, and executes subsequent process adjustments.
  • One of their most important responsibilities includes negotiating prices for raw materials from retailers, small vendors, and/or large shipping companies. 
  • They also take part in product development meetings and provide guidance, in terms of costing and other things related to the new products or services.
  • Last but not the least, they also keep track of all the suppliers and see if they can meet the company’s delivery specifications or not. Based on that, they change their suppliers.

Conclusion

Companies need efficient management of providing products and services to their customers and also moving goods across locations for various purposes. The job growth in this career is above average, according to reports. 

As a result, the demand for skilled supply chain managers is not going to vanish anytime soon. Now is the perfect time for joining a supply chain management and analytics course and learning all about this career option. Visit our website to know more about this course and also to browse other options.

A Step-by-Step Approach to Build an Investment Banking Career

Posted on by Imarticus Learning

A Step-by-Step Approach to Building an Investment Banking Career

The investment banking industry is one of the most competitive in the world. The competition to join this industry is fierce, and it’s getting tougher year after year. If you are looking for the chance to impact people’s lives, then this might be just what your career needs. But how do you break into such an exclusive club? This blog post discusses a step-by-step approach to building your investment banking career!

 Determine your career goals

At the start of your investment banking career, you need to understand your future goals. Just imagine a few years from now, you might be a Chief Investment Officer of an asset management company or the CFO of an investment bank. Before starting your career, it is crucial to understand your future goals and achieve them.

 Build a strong resume

A strong resume is vital to getting into a good investment bank. During your career, you will have many opportunities to work on different projects and present them in front of your potential employer. Ensure that every experience counts and highlights your skills and strengths on your resume.

 Get a solid education

Investment banking is a highly competitive industry, and the best way to differentiate yourself from other candidates is to have a solid educational background. A good investment banking education can open many doors for your career, so it’s essential to ensure that you select the right program.

Start networking

One of the essential things in your investment banking career is to start networking as early as possible. The more people you know in the industry, the best opportunities you will have. Networking can help you find a job, get advice from experienced professionals, and learn about new trends in the market.

Get experience

Experience is critical when it comes to investment banking. The best way to get experience is to start working as an intern in a promising investment bank. It will allow you to learn about the industry and develop your skills.

Stay up-to-date with current events

The investment banking world is constantly changing, and it’s essential to stay up to date. That’s why it is important to read newspapers regularly or follow relevant news on social media and news channels.

Prepare for interviews

One of the critical steps in your investment banking career is to prepare for job interviews. The best method is practicing with a friend or family member. Ensure you know about the company you are interviewing with and have some questions ready to ask your interviewer.

Discover a certificate in Investment Banking with Imarticus Learning

This 180-hour powerhouse Certified Investment Banking Operations Professional (CIBOP) course will thoroughly prepare students for a job in investment banking operations, treasury, and clearing services. Learn about complicated securities and derivatives, their trade lifecycles, and the services that make up investment banking operations.

This alliance will provide learners interested in pursuing careers in investment banking with access to the LSE Group Academy’s best-in-class learning content, delivered by top-rated professors.

Course Benefits for Learners:

  •  Students at Imarticus Learning work in most worldwide investment banks with the CIBOP credential authorized by the London Stock Exchange!
  •  Impress employers & showcase skills with investment banking courses with placement assurance recognized by India’s prestigious academic collaborations.
  •  World-Class Academic Professors to learn from discussions and live online sessions

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

Analytics & Data Science Jobs in India 2022 — By AIM & Imarticus Learning

Posted on by Imarticus Learning

Analytics & Data Science Jobs in India 2022 — By AIM & Imarticus Learning

India’s booming data science sector is changing the scope of the Indian job market. As per the Analytics India Magazine and Imarticus Learning report, the number of open jobs in data science and data analytics grew by 30.1 per cent in April 2022.

India’s share in data science and analytics jobs worldwide has increased to 11.6 per cent from 9.4 per cent due to digital transformation across domains. 

Moreover, statistics show that the recent hiring numbers for data scientists, AI/ML engineers, and big data analytics indicate a maximum upward swing. Top data scientist open jobs fall under the salary range of 25 to 50 lakhs, making a career in data analytics more attractive.

Imarticus Learning and Analytics India Magazine have researched to provide more insight into India’s data science jobs landscape. The report has collected insights into the prevailing data science trends number of open jobs in the data science pre and post-pandemic. The sectors where data science and data analytics jobs are available, types of companies offering data science and machine learning jobs, and cities with vacancies for data scientists. 

Some key findings include required experience levels, educational backgrounds, data scientist salary, data analyst salary, and key data science roles. Statistics of the report will help the data science industry experts to know the trends of the sector, future opportunities, and how to select suitable candidates for the data science jobs.

The report is apt for recruiters, data science, and data analytics aspirants and stakeholders as it gives insights about open jobs in data science across cities, domains, and the salaries offered. Data science experts and companies can also get the required information from the research report. 

Let’s look at the latest data science and analytics trends

As per the AIM and Imarticus Learning report, India has seen a significant hike of 73.5 per cent of open jobs due to Covid-19 from March 2020 to April 2022. However, in the second wave in April – May 2021, data science and data analytics jobs have declined to 3.8 per cent. 

In the second week of February and April 2022, approx number of open jobs in data science and analytics is 180,468 and 179,470, respectively. In April 2022, renowned companies like Accenture, IBM India, Flipkart, JP Morgan, United Health Group, Wells Fargo, Capgemini, Dell International, eClerx Services, and Shell tops the chart in creating the maximum number of data analytics jobs.

AI/ML engineer, deep learning, big data analytics, statistician, data architect, NLP, data scientist, data engineer, computer vision, and data scientist profiles have the maximum number of openings. 

Here the question arises why does India’s share in the data science and analytics jobs increase?

  1. 32.5 per cent increased funding in analytics-based startups. Total financing in these startups is $1.1B, which is the reason for rising in the data scientist and data analytics jobs.
  2. Domestic companies hiked their investments in the data science and data analytics sector.
  3. Companies worldwide have moved their data and analytics work opportunities to India. KPO, BPO, and IT organizations top the charts here.
  4. Technology transformation in the captive centres also contributes to the rise the data science and analytics jobs.
  5. Attractive salaries in the field of data science and artificial intelligence

Data science job markets have touched new heights, and data scientist and analyst salaries have also seen an upward curve. The analytics jobs which fall under the salary bracket of 50 lakhs have increased to almost 20 times from 2021 to 2022.

The table below will explain the trend in data scientist and data analyst salaries.

Salary Range Jobs in 2021 Jobs in 2022
0 – 3 Lakhs 11722 18095
25 – 50 Lakhs 3585 18775
50 Lakhs 276 5472

The statistics above make the data scientist and data analyst career one of the most favourite jobs and the best career choice for the future.

Sector’s contribution to data science openings

Data is not something that you can ignore. On the contrary, it is critical in all the sectors. The new-age industries like retail and CPG contribute to the maximum number of data scientist and analyst jobs. The total number of jobs in these sectors in 2021 was 3,143, which rose to 2.5 times in 2022, making it 7,743.

BFSI jobs have seen an upward trend by increasing 19.9 per cents more jobs contribution. In addition, sectors like eCommerce and the internet, with 13,167 in 2022, also show a significant rise. Post covid, travel, and hospitality industries have come up with a 4.4 per cent share in the total number of advertised jobs in the data science and analytics sector. Our report excludes the contribution from the IT sector.

The table below will give a sneak peek into sector contributions to data science jobs.

 

Sectors Percentage  
Telecom 4.70%
BFSI 26.60%
eCommerce/Internet 18.80%
Energy & Utilities 15.20%
Retail & CPG 11%
Pharma & Healthcare 7.40%
Media & Entertainment 6.70%
Automobile 5.30%

Company type-wise share of data science jobs

Based on the AIM and Imarticus Learning report, MNC IT and KPO sectors are the highest data science and analytics job contributors with 139323 open jobs. However, the domestic firm has shown a remarkable increase of 336.4 per cent and a decline in domestic IT and KPO services providers with 4.7 per cent in 2022.

Top cities offering data science jobs

The top three cities offering data science and analyst jobs with better career opportunities are Bangalore with 28.5 per cent share, Hyderabad with 11 per cent, and Delhi NCR with a share of 19.1 per cent. These three cities saw a good hike in the data science and analytics position, but cities like Pune with 0.5pp, Chennai with 0.3pp, Kolkata with 0.1pp, and Ahemdabad with 0.4pp show a slight decrease in the available jobs.

Core IT hub of India, Bangalore, offered 38,474 in 2021 and 51,149 in 2022, showing a growth of 32.9 per cent. Delhi had open jobs of 34,200 in 2022 and 7,861  in 2021. Mumbai’s gain of 40.2 per cent with 23,591 jobs in 2022 places it in the third position.

Hyderabad rules the chart by showing a 42.9 per cent hike in the number of posted jobs for data scientists and analytics. 

 Experience level

Seven to ten years of experienced professionals are in demand in data science and analytics. 46.4 per cent growth rate is seen in the available jobs for 7-10 years of experienced data scientists and analytics profiles. Job share for 0-2 years and less than one year experienced declined to 11.5 per cent and 8.9 per cent respectively.

Desired education qualification

Engineering graduates and MBA graduates are the first choice of companies for data scientist and analytics jobs. That is why more engineers are opting for a career in data analytics. The engineers are familiar with technology giving them the edge over non-technical professionals. 

The table below will give more insights into the qualification preference of the companies for data science jobs.

Streams Jobs
Engineering 56000
Non-engineering UG 35200
Engineering PG 25900
MBAs 17400
Non-MBAs 14400
PhD 14000
Others 16500

Distributions of Data Science and Machine Learning Jobs

Data engineer profiles contribute to 1/4 of the total data science jobs in the market. AI-related jobs have the highest share of deep learning roles. Data engineers’ profiles are more in demand than data scientists due to the need for digital transformation.

The highest number of jobs in this data science and AI sector is the business analyst role, which is 38,974. There are about 34,566 jobs for data engineer roles, 19,457 for data scientist profiles, 10,564 for deep learning profiles, 10,564, and 2,214 for AI/ML engineer roles.

The enclosed report will give more insights to the stakeholders and aspirants who want to opt for a career in data science. For more details, you can access the research report done by Analytics India Magazine and Imarticus Learning. 

Tableau V/S Excel: Who Will Win?

Posted on by Imarticus Learning

 Tableau V/S Excel: Who Will Win?

The debate has been on for so long that no one remembers when and where it all began. But the question has always remained the same—is it better to use tools such as Excel or Tableau for analysis?

 Some people say that Tableau can easily beat Excel in anything. Some say the contrary side. Tableau and Excel are two practical tools for creating, developing, storing, and analyzing data. Businesses use both, but they have different features and functions. This post will look at some of the fundamental differences between Excel and Tableau.

The Basic Differences between Excel and Tableau

Excel is a 20-year-old software program that works with numbers. Tableau, in contrast, was explicitly designed for data analysis and visualization. The two programs also have different use cases; Excel works well when you perform calculations and generate reports based on your data, but it may not be as flexible as Tableau if you need to create interactive dashboards and narratives. Tableau allows users to drag-and-drop fields into visualizations, meaning they can customize their output much more quickly than Excel.

Why use Tableau when you can use Excel?

Excel is the most popular and influential application, especially when it comes to data visualization. Excel has been helping people create and analyze data for more than three decades now, making it one of Microsoft’s best products.

 But, despite Excel’s dominance in tech circles, there are many reasons people are starting to use Tableau instead, at least for specific tasks. Users say that their companies save about 30 percent on their monthly business intelligence costs using Tableau instead of Excel. 

Why use Excel instead of Tableau?

Tableau and Excel are currently two of your best options for data visualization software. Both of these programs have their unique benefits and drawbacks. Excel is one of Microsoft’s most popular tools because it’s free and works with all files (including PDFs, XMLs, and HTML files). You can use Excel for various purposes, like creating documents or analyzing numbers. 

However, using Excel on its own is not very efficient when creating beautiful infographics or advanced data visualizations. Instead, you need to use an add-on program like Adobe Illustrator or Microsoft Powerpoint, which requires more time and money for less sophisticated results.

Both have pros and cons in the ongoing war between Microsoft Excel and Tableau. Some say that Tableau has taken the tech world by storm with its easy-to-use functionality, while others believe that Excel still has a few tricks.

Learn data analytics online with Imarticus Learning

This placement assured tableau course will educate students on applying data science in the real world and creating complex models that produce crucial business insights and forecasts.

Course Benefits for Learners:

  • Learners should be familiar with data analytics, machine learning principles, and the most popular data science tools and approaches.
  • Students participate in 25 real-world projects and case studies conducted by corporate partners to obtain a tableau certification.
  • Data visualization with the tableau program is among the most in-demand abilities in today’s market, so recent graduates and early-career employees should consider enrolling.

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

The Advantages Of Having An Industry Certification In Supply Chain Management

Posted on by Imarticus Learning

 The Advantages Of Having An Industry Certification In Supply Chain Management

Firms are increasingly embracing analytical standards to improve their decision-making capabilities and supply chain efficiency due to the complexity and increase of supply chain operations as a result of globalization. To compete in a competitive market climate and increase quality, a company’s supply chain managers must respond to disruptions quickly and effectively. A well-functioning supply chain ensures timely fulfillment of goods and services when catering to ever-changing client demands.

Higher employee efficiency rates, lower prices, better profit margins, increased outputs, and so on are all advantages of supply chain management for the firm. As a result, firms are always on the lookout for people who have completed certifications in supply chain management and wish to pursue a supply chain management career. 

In this post, we’ll go over the benefits of getting an industry certification in supply chain management and one of the top supply chain management and analytics courses for a successful supply chain management career.

Advantages Of Completing An Industry-Certified Supply Chain Management Course

There are various advantages of completing an industry certification in supply chain management, a few of which have been listed below:

  1. International recognition

Top worldwide organizations and MNCs recognize a certification in supply chain management certified by industry experts and councils. It is easier to advance a supply chain management career and work for an international organization if certifications are recognized internationally.

  1. More job opportunities

Once the industry accepts the certification, it opens doors to various job roles in that field. In the case of supply chain management, you can easily apply to any of the following job roles:

  • Business Analyst
  • Planning Manager
  • Director of Logistics Management
  • Distribution Manager
  • Director of Supply Chain Management
  • Global Procurement Manager
  • Commodity Specialist
  • Purchase Head
  • Supply Chain Manager

  1. Better pay scale

Employees who complete additional supply chain certifications get more job opportunities and better pay. Most of the time, the salary of already working employees is increased after the certification. If the graduate is fresh, they have a better chance of getting a higher package than other selected candidates. According to Glassdoor, the average salary of a certified supply chain manager is around 12 lakh.

  1. Well-informed decisions

As the global supply chain gets increasingly complex, the requirement for well-researched judgments has become vital. An industry-certified supply chain management training can help you learn important topics and make better judgments. A well-informed decision will help the organization meet its objectives, such as enhanced profit margins, firm efficiency, and sales. Companies are continuously looking for people who have finished a certification in supply chain management and can see difficulties in decision-making and leveraging market data.

  1. Keep up with the newest market developments

You’ll learn to deal with newer market developments if you take an industry-specific supply chain management and analytics course. It’s a terrific chance to stay on top of supply chain developments and put them into practice. It’s also the perfect time to keep up with new technology in the industry and take the lead within your organization. You may keep a close eye on each new development and improve communication with vendors, consumers, and your company.

Professional Certification In Supply Chain Management & Analytics Course By IIT Roorkee

The Professional Certification in Supply Chain Management and Analytics is an industry-certified supply chain management program developed in collaboration with Imarticus Learning by IIT Roorkee, CEC, and industry professionals to provide individuals interested in pursuing a supply chain management career with cutting-edge experience and knowledge.

Supply chain management courseThe Professional Certification in Supply Chain Management and Analytics course helps professionals make more data-driven decisions at the operational, strategic, and tactical levels.

This industry-recognized program prepares you for high-demand supply chains management positions such as supply chains manager, procurement manager, and demand planner.

Following are the various highlights of the Professional Certification in Supply Chain Management and Analytics course by IIT Roorkee:

  • Students who complete the 6-month certification in supply chain management will be rewarded with a certification from IIT Roorkee.
  • It allows you to schedule one-on-one mentoring sessions with industry leaders and experts to clear all your doubts and questions related to this ever-growing industry.
  • The Professional Certification in Supply Chain Management and Analytics course is conducted online by IIT experienced faculty members and guest sessions by supply chain management experts.
  • It follows a rigorous industry-oriented curriculum that teaches students job-relevant topics and skills to secure a high-paying, in-demand job.

Conclusion

Supply chain management is a rapidly growing sector due to the epidemic’s disrupted supply chain and globalization. The Professional Certification in Supply Chain Management and Analytics course is a 6-month program that helps students keep up with the latest market trends, learn essential supply chain management skills from IIT Roorkee faculty, and participate in a 3-day campus visit to IIT Roorkee. It is industry certified and follows an industry-oriented curriculum, allowing you to work for any top organization.

Please contact us for any queries or visit any of our training campuses in Mumbai, Thane, Pune, Bengaluru, Delhi, Chennai, and Gurgaon. 

Intro To Tensorflow For Deep Learning Courses

Posted on by Imarticus Learning

Intro To Tensorflow For Deep Learning Courses

Deep learning uses artificial neural networks to teach computers how to learn from data. This approach differs from other types of machine learning – it is not just about finding patterns in data, but understanding the meaning behind those patterns.

Deep learning systems can be trained to perform image recognition, speech recognition, and text analysis tasks. They are increasingly being used for tasks such as automated driving, where they can help vehicles navigate safely through complex road conditions. 

The significance of deep learning is that it allows machines to learn without being explicitly programmed for every possible situation they may encounter. Deep learning is a subset of artificial intelligence (AI) that allows computers to learn without being explicitly programmed. It’s a powerful technology that has been used to develop computer vision, speech recognition, and natural language processing systems. 

Deep learning builds upon previous machine learning methods by using multiple layers of neural networks to learn patterns in data automatically. To achieve this, deep learning algorithms must be trained on a large volume of data with labeled examples. This will help them determine which features are relevant to making accurate predictions about the outcome. 

Deep learning has been around for about 30 years, but it has gained steam in recent years with the advent of tools like Google’s TensorFlow, an open-source framework for deep learning. Deep learning uses artificial neural networks, which are computer programs designed to mimic the way neurons in the brain fire and communicate with each other. The neural network can be trained using large sets of data, and once it has been trained, it can then be used to predict or classify new data.

Deep learning differs from traditional machine learning in that it allows computers to grasp new information by processing large amounts of data at once instead of using rules-based algorithms.

The significance of deep learning is hard to overstate. It’s already being applied in fields as diverse as medicine, transportation, and finance. It is expected to become more ubiquitous as researchers continue to figure out how it can be used to solve problems that have long proved difficult for humans alone.

Deep learning refers to algorithms that use one or more hidden layers of neurons between input data and output data. These algorithms are also known as “deep neural networks” (DNN). Deep learning has been very successful in some application areas, such as image recognition, speech recognition, natural language processing, and reinforcement learning. 

Now that we know what deep learning is, let us understand its implications with Tensorflow.

What is Tensorflow? 

TensorFlow is a library for machine learning and deep learning, providing a high-level API built on top of low-level routines that implement the actual neural network computations.

The high-level API allows us to express our model in a declarative style.

In TensorFlow, we can create models from scratch or use existing ones as building blocks. We can then train them with data, validate their behavior, and even deploy them to production seamlessly.

Tensorflow is open-source software developed by Google that implements the TensorFlow deep learning framework. Deep learning and TensorFlow are closely related because deep learning relies heavily on TensorFlow and its capabilities. Tensorflow was created to help developers build and train artificial neural networks that can learn how to identify objects or voices based on their visual characteristics or sound patterns.

The system is currently used in many of Google’s services, such as Google Translate and Google Photos. TensorFlow is also used by other companies, like Dropbox or Twitter.

It emphasizes automatic differentiation, which allows for defining complex models in a short time. TensorFlow supports CPU and GPU computation, making it a good choice for researchers who want to take advantage of the latest GPUs with CUDA support.

TensorFlow is a flexible and easy-to-use system that can run on a single computer or across multiple computers in a cluster. TensorFlow was originally developed to support distributed training of machine learning models, but it also has non-distributed applications such as data analysis and visualization.

So far, neural networks have proven very effective at solving problems in many fields, from computer vision and speech recognition to stock market predictions. Neural networks are designed to imitate how the human brain processes information and learns from the data we provide it.

To learn more about TensorFlow and its application in artificial intelligence and machine learning, enroll in the best course offered by Imarticus learning. Get the best course guidance and execution strategies to kickstart your data career. Contact us through chat support, or visit us at our offline stores in major cities across India.

Power up with a micro-credential in data analysis with a tableau course in 2022

Posted on by Imarticus Learning

Power up with a micro-credential in data analysis with a tableau course in 2022

Like W. Edwards Deming once said, “Without data, you’re just another person with an opinion.” Data is the future and the driving force of today. They say knowledge is power and data is knowledge. It is the information that reforms civilizations and fabricates unfathomable technology, propelling whoever uses the insights data extracts strategically into leading positions.

It is the fuel that is running the world today and building a scientifically maneuvered tomorrow. Data hold answers to the most complex disciplines and gives you the power to back your opinion with evidence-based analysis. In a world continually engaged in cutthroat competition, data is the only differentiator. The interpretation of data is a powerful instrument that steers every decision that is made today. 

What is data analysis?

Data analysis is a systematic approach governed by logical and statistical techniques that help in the extraction of insights via gathering, modeling, and inspecting data to pilot informed conclusions and factually accurate decisions. It helps you collect relevant information and identify the pain points to come up with viable solutions depending on your field of work. 

What is a micro-credential?

If you are someone who wants to upskill without devoting the time and cost it needs to commit to a full degree, then micro-credential is an option that will most definitely interest you. Devised to provide you with the resources be it theoretical or practical, micro-credentials cater to your specific requirements to advance your skills. Micro-credentials act as independent credentials adding to your academic merit. 

What is tableau

Tableau is an intuitive, visual analytics computerized program that helps in easing the process of analysis by converting big data into simpler and more accessible forms. It turns complex data into a smaller version that is easily comprehensible and gives accurate insights into the small data at the same time. 

With data at our fingertips, the influx of it has been high and businesses around the world need a system that is easier to operate while giving an interactive experience to the users. It has become instrumental in inspecting data all while giving a deep intuitive understanding of it. 

Why Tableau 

This visual tool has become an integral part of corporations and its easy-to-use design has propelled companies to expand their business using this software. Not only is it detail-oriented but also gives you an in-depth knowledge of the steps you need to take to augment your project. 

The success of corporations today depends on data visualization and examination. These prerequisites present your opportunities to practically apply your skills and create a promising career. As businesses expand, the inflow and need to explore and interpret larger numbers of data will increase. 

Tableau career prospects

Here are the diversified career options you can choose from after completing the course:

  • Data analyst
  • Business intelligence analyst
  • Tableau consultant
  • Business intelligence manager
  • Business analyst
  • Business intelligence developer

Why choose a micro-credential in data analysis with a tableau course 

From the complexities of linear regression to linear discriminant analysis, the tableau course covers all the essentials you need to transform you into an expert in this field. 

  • Higher employability – As the world advances, data has become the oil that drives the corporate world into expansion. The demand for analysts to collect, clean, model and inspect data to give viable solutions in tandem with their augmentation plans has become a necessity. The program comes with guaranteed job interviews  opportunities apart from transforming you into an adept data analyst. Certification in data analytics course also helps you in upskilling and venturing into your own line of innovation.

  • Job-relevant skills – The course familiarizes you with theoretical as well as practical knowledge that ensures you develop job-relevant skills. Mentored and guided by industry experts and professionals, you get to participate in real-world case studies and projects.

  • Extensive support – The course focuses on the development of every single individual enrolled in the program and assists them every step of the way from preparing them for placements, workshops, mock interviews, and providing expert career guidance. 

Conclusion

Our micro-credential in data analysis with a tableau course covers the crux of the topic as well as its complexities of it so that you can provide real-time solutions to clients and establish a successful career in this profession. As someone proficient in developing tableau and extracting detailed cognizance from it, you can aid businesses excel and creating futuristic solutions for corporate problems. 

Ace your career with a machine learning course with placement in 2022

Posted on by Imarticus Learning

Ace your career with a machine learning course with placement in 2022

Machine learning no longer remains an emerging field of AI, it has become a critical gear driving corporations across the globe now. Machine learning across all industries has become an indispensable prerequisite. With demand for machine learning increasing with each passing day, now would be the time for you to take into consideration a career in this field. 

Machine learning and data science

Machine learning in correlation to data science has been dominating the industry for a while now. So, how does machine learning help you? Machine learning dissects complex big data automatically. Machine learning automates the procedure of the exploration and inspection of data and is capable of predicting unforeseen data-backed judgments in real-time sans manual labor.

The data inserted is processed within seconds without the need for human involvement. Machine learning aids the fabrication of data models in a mechanized way and is further developed to formulate real-time predictions. This is how and why machine learning is an instrumental aspect of data science. 

Best way to learn machine learning

Machine learning can be complex but with the assistance of subject specialists and industry leaders, you can master the skills required to transform you into an ML expert. 

  • Leading-edge ML & AI Curriculum – Go for a course that is designed to provide you with relevant resources and a curriculum that makes you industry-ready. With an increase in demand for AI and ML professionals, opt for a course that will future-proof your career in this field. Your certification plays a significant role in endorsing your skills and having a world-class certification that is recognized globally is an asset you need to elevate your career. 
  • Campus immersion – As they say – your peers and teachers play a crucial role in molding and influencing you. Choose a course that helps you explore beyond the known and participate in opportunities that help you learn from an expert faculty and innovative peers. Having real-time interaction is an integral segment of mastering your practical skills. 
  • Participate in real-life scenarios – Indulge, explore, examine and analyze the problems ML and AI Engineers face while pursuing this job. Get a deeper understanding of real-world problems and learn how to address them by mastering job-relevant skills and the guidance of industry specialists. Get familiar with AI and ML integrated data science and acquire a critical competitive edge in the corporate world. 
  • A portfolio that stuns – Choosing a suitable course and specializing in the subject is the first step to success but the only way it will be etched in stone is if you have an impressive portfolio to validate your proficiency. Select a course that allows you to explore multiple relevant projects and work on them to gain real-time expertise. A supportive faculty that ensures that you get to handpick datasets best suited to your interests, lets you create an impressive GitHub project portfolio, and is an added advantage in enhancing your resume. 

Best Machine Learning certification 

The best Machine Learning certification is the one that gives you an insight into the real-world job scenario and provides you with cutting-edge resources to enable you to develop skills to your maximum potential, guided and mentored by industry leaders and subject experts. 

IMarticus’s certification in AI & ML has been designed to encourage the highest quality of learning outcome in collaboration with E&ICT Academy, IIT Guwahati. It is an extensive program spread across a tenure of 9 months and will help you boost your career in the fields of Data Science, Data Analyst, Machine Learning Engineering, and AI Engineering. This certification course has been specifically curated to enhance your rudimentary skills in AI and leverage them into carving a lucrative career for yourself. 

  • Real-world projects
  • Expert guidance
  • Diverse projects
  • Job relevant skills
  • Certification from E&ICT Academy
  • Flexible learning experience

Conclusion

Stand out of the crowd with an experience crafted to provide you with top-quality education standards and transform you into the most coveted AI & ML specialist. 

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