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.
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.
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.
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