Why you should pursue PGCP DS-ML from MIT

The future has already arrived, and data science courses are paving the way. According to one estimate, 2.5 quintillion bytes of data are created every day. As a result, it is not surprising that data science is creating millions of employees worldwide. 

Tech behemoths such as Facebook, Google, and IBM are investing millions of dollars in studying and developing various parts of Data Science, such as Machine Learning and Artificial Intelligence. It is also one of the most sought-after positions on job search platforms such as Linkedin, Glassdoor, and Monster.

If you’re wondering why you should study PGCP in Data Science & Machine Learning at MIT, keep reading.

Know about Manipal Institute of Technology

Manipal Institute of Technology (MIT) was established in 1957 as one of India’s first self-financing technical institutes. MIT provides a bachelor’s and master’s degree program in engineering. It also permits students to pursue research full-time or part-time. 

The institute conducts sponsored research projects with financing from organizations such as DST, CSIR, AICTE, and the Ministry of Environmental Sciences. It conducts joint research initiatives with leading research facilities and institutes in India and around the world.

What is PGCP DS-ML?

The Postgraduate Certificate in Data Science and Machine Learning course is a Program that provides a hands-on learning experience in Data Science labs outfitted with the most up-to-date analytics tools and applications. Learners may master Artificial Intelligence & Neural Networks, Data Visualization, Statistical Data Analysis, and Machine Learning techniques at work utilizing tools like Jupyter Notebooks for Python, SQL data, and more through this 6-month online live curriculum. 

This curriculum is certified by the Manipal Academy of Higher Education and includes three modules to ensure a holistic, hands-on learning opportunity.

Want to know if you should invest your 2 years for a data science course? Read our blog Is it good to spend two years in a data science course? to know more!

Why should you opt for MIT for PGCP in Data Science & Machine Learning? 

A PG diploma program can benefit aspiring data scientists by exposing them to various employment opportunities and specialized sectors such as data analytics and machine learning. A postgraduate degree in data science provides numerous chances and work prospects for talented persons interested in this sector.

A PG diploma program provides everything a data scientist needs to function properly. This covers extensive lessons on computer languages, data management, sorting, analytics, and data extraction. 

MIT offers a comprehensive Data Science and Machine Learning course with reputable accreditation. These approved courses are ideal for those who want to extend their education in data science while still working. We also allow students to take these courses from home according to their shift schedules or availability, which is a huge benefit for working people.

MIT PG courses are also highly valued by employers worldwide, with many satisfied employers and students vouching for the courses given by this prestigious educational company. MIT can be a simple way to obtain an approved diploma in data science because it is accessible from anywhere. 

Through the 9-month online program, MIT has crafted a competitive curriculum that will enable applicants to become effective professionals by acquiring trendy Data Science & Machine Learning technologies and methodologies. Through 7 Intensive Micro Projects and 2 Capstone Projects, the 9-month online curriculum will give learners an application-oriented learning experience. 

The students will work in groups of five, and the viva will take place at the end of the project. These projects seek to educate students with the Data Science and Machine Learning abilities required to confront real-world business challenges, as well as industry exposure to help them launch their careers.

The following are a few program outputs from MIT’s PGCP DS-ML.

Develop critical Data Science and Machine Learning abilities.

• Understand Data Science Statistical Techniques and Machine Learning Operations (MLOps)
• Understand and apply Python for Data Science.
• Discover how to use Data Visualization and PowerBI to solve real-world business problems.
• Gain in-depth knowledge of Artificial Intelligence, Machine Learning, and Neural Networks, all of which are required to develop Intelligent Machines.

Learn from industry expertise 

• Learn from highly experienced Data Science and Machine Learning specialists 
• Participate in the career and domain-specific online workshops led by industry professionals.

Gain valuable practical experience

• Gain practical experience by participating in 7 intensive microprojects and 2 capstone projects, as well as case studies and assessment-based learning.
• Microproject mentoring sessions

Take advantage of the placement guarantee/assistance

• After completing the program, you will be eligible for Placement Guarantee/Assistance.
• Use our placement training programs to improve your aptitude, build your résumé, and attend mock interviews, among other things.

The eligibility criteria for PGCP DS-ML are

Want to know how to build a robust data science portfolio? Check out our blog on data science portfolio for further information. 

Conclusion

We live in an era when technology is rapidly advancing, and we are eager to discover new methods to make our lives easier. Data science is gradually becoming one of the most important fields of information technology. This will result in a significant increase in the need for data scientists among MNCs and enterprises. Studying data science and machine learning today will undoubtedly be beneficial and fruitful in the future.

If you want to learn more about machine learning and top data science courses, you can enroll in MIT’s PGCP DS-ML program. We provide graduate, postgraduate, and certification programs that are carefully tailored to your needs. You can learn from our expert faculty, who will guide you to a brighter future.

Key takeaways:

• Data science is the study of extracting data by using subject expertise, computer skills and statistics. In contrast, machine learning is the study and development of algorithms that use data to improve performance or inform predictions. 
• Machine Learning is an area of science concerned with developing methods to educate a computer to make more accurate judgments.
• The PGCP in data science and machine learning curriculum is a comprehensive program that provides a great blend of Data Science and Machine Learning ideas to help learners become Expert Data Science Professionals.