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Tag: certificate program in data science and machine learning

Interested in taking the Certificate Program in Data Science and Machine Learning? Read on

Posted on by Imarticus Learning

Today, Machine learning is being leveraged in almost every sector to bring more efficiency, intuition, and applicative use to products and services. The global machine learning market is expected to grow at a compound annual growth rate of 38.8% between 2022 to 2029, from a value of $ 21.17 Billion in 2022 to $209.91 billion. On the other hand, the market size of data science platforms market size is estimated to become a $ 378.7 billion industry by 2030, growing at a Compound annual growth rate of 16.45 3%, between 2022 to 2030.

As the applicative uses of these two functions keep growing, various sectors will experience a growing demand for skilled professionals with expertise in data science and machine learning. In this blog, I delve deeper into these domains and review the skill sets, and growth opportunities available. I also talk about how pursuing a contemporary machine learning certification course can give you a competitive edge in the job market.

The growing importance of machine learning

Today, consumers are growing increasingly dependent on the benefits of machine learning for various purposes. Here is an example. Machine learning is leveraged by a popular language learning app to curate an intuitive learning experience. The app can gauge the proficiency level of the learner and adapt a gamified learning plan, based on the data captured. This application completely eliminates the need for human teaching intervention. It enables millions of learners to learn simultaneously but at their own pace. It also enables them to learn through a format best suited to them. The application of machine learning is enabling platforms to reduce costs, and grow at scale. There are many such examples of how machine learning is transforming lives daily.

Machine learning simplified

So what exactly is machine learning? It is a branch of artificial intelligence (AI) and computer science, which mirrors how consumers engage and learn, aided by data usage and algorithms. The accuracy of engagement and responses gradually improves. Those engaged in machine learning work are working at the cusp of innovation. Having an in-depth understanding of data science coupled with the principles of machine learning can give one an edge in this domain.

Data Science Course

To build these combined skills, I recommend pursuing a Certificate Program In Data Science And Machine Learning. A professionally designed programme can equip ambitious professionals with the tools and techniques needed to excel in this innovative field.

5 attributes of a superior programme

Today, the market is flooded with several free programmes and paid programmes. So, how do you choose the right one for you? According to me, your machine learning certification course should have these five attributes

1. A superior curriculum

Make sure that the programme covers all the contemporary subjects required to excel in data science and machine learning, today. Machine learning with Python, fundamentals, and uses of SQL, data visualisation with tableau, Python programming, and Statistics with data science.

2. A pedigree certification

It is important to have recognised credentials on your resume. For instance, an IIT Roorkee certification course not only offers a superior pedagogy, but the certification is also well-respected in the industry. Another benefit is that you will also have access to world-class faculty from such an institution.

3. Hands-on training

Today when companies hire you they are looking for professionals who can hit the ground running from Day 1. I suggest choosing programs that offer live training via capstone projects. These projects simulate real-world environments, in which learners need to address real challenges, and also work collaboratively with other learners. This is a great opportunity to build real-world skills.

4. Campus immersion

While a good certification program may be hosted completely online, Some also offer a compass immersion engagement. This means that you may be able to spend some time at campuses like IIT Roorkee which celebrate a culture of innovation. You can get to engage with faculty batchmates as well as mentors from the campus.

5. Career services and support

The fifth pillar that completes the circle includes access to comprehensive career-related services. This includes job interview training, resume/profile building, a network of mentorship, and placement support.

In Conclusion

The future is bright for those who invest in skill-building early on. Pursuing a professionally-designed certificate programme in data science and machine learning is an investment in your career. It equips you to develop contemporary in-demand skills that help you leverage technology to address real-world challenges and accelerate career growth.

To know about the Certificate Program In Data Science And Machine Learning, contact us through chat support, or drive to our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

6 Trends Shaping the Future of Data Science

Posted on by Imarticus Learning

6 Trends Shaping the Future of Data Science

Introduction

The data science industry is rapidly evolving. The field is changing from the types of data collected to the tools and techniques used to analyze it. More and more companies are using these insights as part of their business strategies. As the world becomes more digitally adept, data scientists are in high demand to help businesses make sense of the information they collect.

At Imarticus, we offer data science courses as we are always on the lookout for what’s next in this rapidly changing future of data science. 

Here are six predictions for trends shaping the future of data science:

1. Data Collection Becomes More Ubiquitous

As companies become more comfortable with data to improve their business performance, they will likely collect more data about their customers and employees. In particular, we expect to see an increase in the amount of location-based information that companies collect about their customers’ movements (and even their emotions).

We are still in the early stages of understanding how to use data to make better decisions, but we are beginning to understand which best practices are most effective. For example, there’s a growing consensus that it’s essential to train your models on as much data as possible—not just large datasets but a variety of datasets representing different data types and problem areas.

2. Data Scientists Become More Valuable

As companies start collecting more data types, they’ll need to hire people who can help them make sense of it all. They will be willing to pay top dollar for those people because they know how important it is to access insights from every corner of their organization. There will also be an increased demand for people training in applied statistics or machine learning to apply those skills broadly across all areas. 

Data democratization: Data scientists are not just going to be working in corporations anymore—anyone with an internet connection can harness the power of data science.

3. The Internet of Things 

IoT is already changing/defining how we interact with our environment, and it will continue to change how we interact with data. As our physical world becomes increasingly connected, we can analyze our surroundings better and understand what they mean.

4. Machine learning

ML is becoming more accessible than ever before. Thanks to cloud computing and powerful open-source tools like TensorFlow and Keras, even non-coders can create powerful models without needing a Ph.D. in mathematics or computer science.

Additionally, there is a growing awareness regarding the importance of machine learning algorithms that can handle complex tasks with no human-defined solution. It means creating systems that can learn from their users’ behavior over time and use this information to solve new problems. It is similar to how Google Search knows what you want when you type in “tacos” or “puppies” while providing recommendations based on your previous searches.

5. Deep learning

Deep learning helps us understand language at a deeper level than ever before. By analyzing a text at various levels—from individual words up to sentences, paragraphs, and entire documents—we can extract information that would otherwise be impossible to find using traditional keyword search or keyword matching algorithms.

6. The growth of Big Data

As more people start using personal data to make discoveries, we’re going to see a lot more information about human behavior emerging—and as it becomes easier for people everywhere to collect this information and share it with others, we’ll see even more discoveries made through crowdsourcing efforts than ever before.

The future of data science will also be shaped by developments in automation technology, including AI assistants like Siri or Alexa. These technologies allow us to interact with computers in new ways. For example, they can understand natural language input like commands or questions and provide answers quickly without requiring us to learn programming languages.

Conclusion

The future of data science is an exciting one. We’ve already seen some incredible advancements and more to come. Now is the best time ever to enrol in data science courses and build a career for a digital future.

Imarticus learning offers a Certificate Program in Data Science and Machine Learning to guide and train you with the best resources to prepare you for this data journey.

Get in touch with us and find a detailed analysis of how this program can potentially revamp your career. Contact us through chat support or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon for more information.