As the world becomes increasingly data-driven and computing power advances beyond all expectations, two intriguing fields are at the center of attention – data science and machine learning.

These fields are often grouped together as they have numerous contact points. First and foremost, both areas are all about data. But data science primarily focuses on extracting valuable insights from data, while machine learning aims to use the data to make predictions and decisions without explicit programming.

These revolutionary technologies have seeped into (and revolutionized) virtually every existing sector: healthcare, business, finance, retail, IT, and the list can go on and on. So, no wonder companies are constantly seeking highly skilled professionals in these fields.

If you’d like to build a career in these highly lucrative fields, improving your skills and knowledge is an absolute must.

Luckily, nowadays, you don’t have to leave your home to achieve this level of expertise. Just pick a data science and machine learning course from this list (or do all three!), and you’ll be well on your way toward a bright future in these burgeoning fields.

Top Data Science and Machine Learning Courses

Whether you’ve just started to dip your toes in these fields or want to take your skills to the next level, you’ll find the perfect data science and machine learning course on our list.

Data Science: Machine Learning by Harvard University

The first data science and machine learning course on the list is classified as an introductory course. In other words, it’s ideal for beginners.

The course first tackles the basics of machine learning, gradually digging deeper into popular algorithms, principal component analysis, and building recommendation systems. You’ll finish this course with fundamental data science and machine learning skills.

The class lasts eight weeks and is entirely self-paced. The recommended time commitment is two to four hours per week, but every learner can tailor it to their needs. Another great option is auditing this data science and machine learning course for free. But you’ll have to pay a fee for a verified certificate and unlimited access to the materials.

The $109 (a little over €101) cost is a small price for the theoretical and hands-on knowledge you’ll gain after this course.

Unfortunately, not everyone will be given a chance to gain this knowledge. Due to some licensing issues, this course isn’t available for learners in Iran, Cuba, and Ukraine (the Crimea region). Another potential downside is that the class is a section of a nine-part data science program. And most of those nine parts precede this course. Although not obligatory, the program creators recommend taking these courses in order, which can be too much time and financial commitment for some learners.

Machine Learning, Data Science, and Deep Learning With Python by Udemy

Do you feel like you need more hands-on experience in machine learning and data science? Have you had to pass on promising job applications because you don’t meet the listing requirements? If you’ve answered positively to both questions, here’s some good news. This data science and machine learning course was custom-made for you.

And no, these aren’t empty promises à-la infomercials you see on TV. This course covers all the most common requirements big-tech companies seek in data scientist job listings. Implementing machine learning at a massive scale, making predictions, visualizing data, classifying images and data — you name it, this course will teach it.

Naturally, this is the single most considerable advantage of this course. It will give you the necessary skills to successfully navigate the lucrative career paths of data science and machine learning. But this only goes if you already have some experience with coding and scripting. Unfortunately, this course isn’t beginner-friendly (in terms of Python, not data science), so not everyone can take it immediately.

Those who do will enjoy over 100 on-demand video lectures, followed by several additional resources. For a $119.99 (approximately €112) fee, you’ll also receive a shareable certificate and full lifetime access to the course.

Data Science and Machine Learning: Making Data-Driven Decisions by MIT

The last item on our list is a big-league data science and machine learning course. The word “course” might even be an understatement, as it’s closer to an entire learning program encompassing a broad set of educational activities.

For starters, the course involves a mentorship program with leading industry experts as guides. And this isn’t a one-and-done type of program either; you’ll have weekly online meetings in small groups. The course itself is taught by MIT faculty and industry experts with years of experience under their belts.

In 12 weeks, you’ll significantly grow your data science and machine learning portfolio, examine numerous case studies, acquire valuable knowledge in applying multiple skills (clustering, regression, classification, etc.), and receive a professional certificate to prove it.

The only notable downside of this extensive data science and machine learning course is its price. With a $2,300 (around €2,142) fee, this course is far from accessible for an average learner. However, those who can afford it should consider it a long-term investment, as this course can be a one-way ticket to a successful career in data science and machine learning.

Factors to Consider When Choosing a Course

Online learning platforms have democratized the world of learning. Now, you can learn whatever you want from wherever you are and at whatever pace works best for you.

But keep in mind that this goes for instructors as well. Anyone can now teach anything. To avoid wasting your time and money on a subpar course, consider these factors when choosing the perfect data science and machine learning course.

Course Content and Curriculum

First things first: check what the course is about. The course’s description will usually contain a “Curriculum” section where you can clearly see whether it delves into topics that interest you. If you have experience in the field, you’ll immediately know if the course spends too much time on skills you’ve already mastered.

Course Duration and Flexibility

Most online courses are self-paced. Sure, this kind of flexibility is mostly a good thing. But if you lack discipline, it can also be detrimental. So, before starting the course, check its duration and make sure you can fully commit to it from beginning to end.

Instructor Quality and Expertise

A data science and machine learning course will undoubtedly contain portions some learners might perceive as challenging or tedious. If there’s one thing that can help them breeze through these parts, it’s an engaging and personable instructor.

So, before committing to a course, research the instructor(s) a little bit. Check their bios and play a video to ensure their teaching style works for you.

Cost and Return on Investment

A data science and machine learning course can cost upwards of thousands of dollars. To ensure you’ll get your money’s worth, check how well it will prepare you for finding a job in the field.

Does it come with a highly requested certification? Does it cover the skills your future employers seek? These are just some of the questions you should consider before investing in a data science and machine learning course.

Hands-On Experience and Real-World Projects

This is another factor that can make investing in a data science and machine learning course well worth it. As valuable as theory is, hands-on experience is king in these fields. Working on real-world projects and building a rock-solid portfolio opens up new doors for you, even before leaving the course.

Networking Opportunities and Job Placement Assistance

A strong support system and direct contact with instructors and mentors should be a course must-have for anyone interested in a data science and machine learning career. Meet notable figures in the industry and stand out among the course goers, and incredible job opportunities should follow suit.

Tips for Success in Data Science and Machine Learning Courses

You can get straight to learning after selecting the perfect data science and machine learning course. Sure, closely following the curriculum will help you gain the necessary knowledge and skills in these fields. But following these tips while studying will do wonders for your future career prospects:

  • Develop a strong foundation in mathematics and programming: This will allow you to take more advanced courses and breeze through the rest.
  • Stay up-to-date with industry trends and advancements: Despite being updated frequently, the courses can barely keep up with the innovations in the field.
  • Engage in online forums and communities for support and networking: Sharing ideas and receiving feedback can help you overcome learning challenges.
  • Practice your skills through personal projects and competitions: Challenge yourself to go beyond the scope of the course.
  • Seek internships and job opportunities to gain real-world experience: Besides looking great on your resume, these will help you get the hang out of things much quicker.

Learn, Practice, Excel

A carefully selected data science and machine learning course is an excellent opportunity to enter these booming fields with a bang. Developing data science and machine learning skills further will help you stay there and enjoy a successful and rewarding career for years to come.

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Il Sole 24 Ore: 100 thousand IT professionals missing
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
May 14, 2024 6 min read

Written on April 24th 2024

Source here: Il Sole 24 Ore (full article in Italian)


Open Institute of Technology: 100 thousand IT professionals missing

Eurostat data processed and disseminated by OPIT. Stem disciplines: the share of graduates in Italy between the ages of 20 and 29 is 18.3%, compared to the European 21.9%

Today, only 29% of young Italians between 25 and 34 have a degree. Not only that: compared to other European countries, the comparison is unequal given that the average in the Old Continent is 46%, bringing Italy to the penultimate place in this ranking, ahead only of Romania. The gap is evident even if the comparison is limited to STEM disciplines (science, technology, engineering and mathematics) where the share of graduates in Italy between the ages of 20 and 29 is 18.3%, compared to the European 21.9%, with peaks of virtuosity which in the case of France that reaches 29.2%. Added to this is the continuing problem of the mismatch between job supply and demand, so much so that 62.8% of companies struggle to find professionals in the technological and IT fields.

The data

The Eurostat data was processed and disseminated by OPIT – Open Institute of Technology. an academic institution accredited at European level, active in the university level education market with online Bachelor’s and Master’s degrees in the technological and digital fields. We are therefore witnessing a phenomenon with worrying implications on the future of the job market in Italy and on the potential loss of competitiveness of our companies at a global level, especially if inserted in a context in which the macroeconomic scenario in the coming years will undergo a profound discontinuity linked to the arrival of “exponential” technologies such as Artificial Intelligence and robotics, but also to the growing threats related to cybersecurity.

Requirements and updates

According to European House Ambrosetti, over 2,000,000 professionals will have to update their skills in the Digital and IT area by 2026, also to take advantage of the current 100,000 vacant IT positions, as estimated by Frank Recruitment Group. But not only that: the Italian context, which is unfavorable for providing the job market with graduates and skills, also has its roots in the chronic birth rate that characterizes our country: according to ISTAT data, in recent years the number of newborns has fallen by 28%, bringing Italy’s birth rate to 1.24, among the lowest in Europe, where the average is 1.46.

Profumo: “Structural deficiency”

“The chronic problem of the absence of IT professionals is structural and of a dual nature: on one hand the number of newborns – therefore, potential “professionals of the future” – is constantly decreasing; on the other hand, the percentage of young people who acquires degrees are firmly among the lowest in Europe”, declared Francesco Profumo, former Minister of Education and rector of OPIT – Open Institute of Technology. “The reasons are varied: from the cost of education (especially if undertaken off-site), to a university offering that is poorly aligned with changes in society, to a lack of awareness and orientation towards STEM subjects, which guarantee the highest employment rates. Change necessarily involves strong investments in the university system (and, in general, in the education system) at the level of the country, starting from the awareness that a functioning education system is the main driver of growth and development in the medium to long term. It is a debated and discussed topic on which, however, a clear and ambitious position is never taken.”

Stagnant context and educational offer

In this stagnant context, the educational offer that comes from online universities increasingly meets the needs of flexibility, quality and cost of recently graduated students, university students looking for specialization and workers interested in updating themselves with innovative skills. According to data from the Ministry of University and Research, enrollments in accredited online universities in Italy have grown by over 141 thousand units in ten years (since 2011), equal to 293.9%. Added to these are the academic institutions accredited at European level, such as OPIT, whose educational offering is overall capable of opening the doors to hundreds of thousands of students, with affordable costs and extremely innovative and updated degree paths.

Analyzing the figures

An analysis of Eurostat statistics relating to the year 2021 highlights that 27% of Europeans aged between 16 and 74 have attended an entirely digital course. The highest share is recorded in Ireland (46%), Finland and Sweden (45%) and the Netherlands (44%). The lowest in Romania (10%), Bulgaria (12%) and Croatia (18%). Italy is at 20%. “With OPIT” – adds Riccardo Ocleppo, founder and director – “we have created a new model of online academic institution, oriented towards new technologies, with innovative programs, a strong practical focus, and an international approach, with professors and students from 38 countries around the world, and teaching in English. We intend to train Italian students not only on current and updated skills, but to prepare them for an increasingly dynamic and global job market. Our young people must be able to face the challenges of the future like those who study at Stanford or Oxford: with solid skills, but also with relational and attitudinal skills that lead them to create global companies and startups or work in multinationals like their international colleagues. The increasing online teaching offer, if well structured and with quality, represents an incredible form of democratization of education, making it accessible at low costs and with methods that adapt to the flexibility needs of many working students.”

Point of reference

With two degrees already starting in September 2023 – a three-year degree (BSc) in Modern Computer Science and a specialization (MSc) in Applied Data Science & AI – and 4 starting in September 2024: a three-year degree (BSc) in Digital Business, and the specializations (MSc) in Enterprise Cybersecurity, Applied Digital Business and Responsible Artificial Intelligence (AI), OPIT is an academic institution of reference for those who intend to respond to the demands of a job market increasingly oriented towards the field of artificial intelligence. Added to this are a high-profile international teaching staff and an exclusively online educational offer focused on the technological and digital fields.

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Times of India: The 600,000 IT job shortage in India and how to solve it
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
May 2, 2024 3 min read

Written on April 25th 2024

Source here: Times of India 


The job market has never been a straightforward path. Ask anyone who has ever looked for a job, certainly within the last decade, and they can tell you as much. But with the rapid development of AI and machine learning, concerns are growing for people about their career options, with a report from Randstad finding that 7 in 10 people in India are concerned about their job being eliminated by AI.

 Employers have their own share of concerns. According to The World Economic Forum, 97 million new AI-related jobs will be created by 2025 and the share of jobs requiring AI skills will increase by 58%. The IT industry in India is experiencing a tremendous surge in demand for skilled professionals on disruptive technologies like artificial intelligence, machine learning, blockchain, cybersecurity and, according to Nasscom, this is leading to a shortage of 600,000 profiles.

 So how do we fill those gaps? Can we democratize access to top-tier higher education in technology?

These are the questions that Riccardo Ocleppo, the engineer who founded a hugely successful ed-tech platform connecting international students with global Universities, Docsity, asked himself for years. Until he took action and launched the Open Institute of Technology (OPIT), together with the Former Minister of Education of Italy, Prof. Francesco Profumo, to help people take control of their future careers.

OPIT offers BSc and MSc degrees in Computer Science, AI, Data Science, Cybersecurity, and Digital Business, attracting students from over 38 countries worldwide. Through innovative learning experiences and affordable tuition fees starting at €4,050 per year, OPIT empowers students to pursue their educational goals without the financial and personal burden of relocating.

The curriculum, delivered through a mix of live and pre-recorded lectures, equips students with the latest technology skills, as well as business and strategic acumen necessary for careers in their chosen fields. Moreover, OPIT’s EU-accredited degrees enable graduates to pursue employment opportunities in Europe, with recognition by WES facilitating transferability to the US and Canada.

OPIT’s commitment to student success extends beyond academics, with a full-fledged career services department led by Mike McCulloch. Remote students benefit from OPIT’s “digital campus,” fostering connections through vibrant discussion forums, online events, and networking opportunities with leading experts and professors.

Faculty at OPIT, hailing from prestigious institutions and industry giants like Amazon and Microsoft, bring a wealth of academic and practical experience to the table. With a hands-on, practical teaching approach, OPIT prepares students for the dynamic challenges of the modern job market.

In conclusion, OPIT stands as a beacon of hope for individuals seeking to future-proof their careers in technology. By democratizing access to high-quality education and fostering a global learning community, OPIT empowers students to seize control of their futures and thrive in the ever-evolving tech landscape.

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