Massachusetts Institute of Technology, famously MIT, is a worldwide-known private research university. It is in Cambridge, Massachusetts, United States, and welcomes new talents yearly. Refined talent from all over the world gets a chance to enter this prestigious institution, which offers several subjects.
MIT is famous for its science of technological research and has proven itself over the years. MIT's history is a period of glory because it has produced a lot of well-known figures in the fields of science, technology, management, politics, etc. Today, we are going to explore MIT's Applied Data Science Program, delivered in collaboration with Great Learning, and go further into every aspect of it.
Before finalizing your decision about the Applied Data Science Program at MIT, several factors should be considered. Curriculum, structure, prior requirements, fees, etc., are some factors discussed in detail below. This article also explores the reviews from those who completed this course, so prepare to explore the MIT data science program.
Program Mentors in MIT Applied Data Science 12-week Program
Before jumping to course details, you should have a brief idea about the mentors. During the 12-week course, your mentors will guide you through the course structure and make the way much smoother. These experts will offer you deep insights about the requirements and additional skills that will greatly help you improve.
Vaibhav Verdhan is the Principal Data Scientist at Johnson & Johnson (Ireland). Kalle Bylin is a Product Engineer at Modyo (Colombia). This mentor is a renowned figure among the learners, and he is Subhodeep Dey, a Data Scientist (Project Lead) at UnitedHealth Group (India). Next, we have George Liu, a Senior Data Scientist at Chatter Research (Canada). Your last mentor is Joseph Deutsch, a Capital One (United States) Data Scientist.
Understanding the MIT Applied Data Science Program: Basic Information, Fees, and Learning
The MIT Applied Data Science Program is an online 12-week course designed for professionals. It enhances your data science skills and makes you sharper with its structured way of learning. It is a certificate program and gives you practical knowledge of applied data science.
The name "MIT" strongly influences your portfolio, opening new gates in your career path. You can ask yourself if you can invest this amount for your career advancement. For more details about the curriculum, you can scroll down and see what this program offers.
Learning is an essential part of this program, which requires commitment. Some topics and projects might be challenging for you because of their depth, but only your commitment will take you far in this way. However, there are some prerequisites that you must look into before enrolling.
Prerequisites to join this program
As mentioned earlier, the MIT data science program is specially designed for professionals and entrepreneurs. This 12-week online course is designed in a very specific way and requires you to have some experience. However, on MIT's official website, it is mentioned that people with basic knowledge of Computer Programming and Statistics can join this program.
Having a foundational understanding of Python, time management, statistics, and probability will make your path much smoother. These skills are required for almost every technical course in data science. Data is being created at a much faster pace than ever, so management skills are in demand. Your mentors and course material will sharpen your skills, so go ahead.
The curriculum of the MIT Applied Data Science Program
This program will be offered to you in collaboration with Great Learning, which is a leading education platform worldwide. This program will run for 12 weeks, during which 2 weeks will work on foundations, 6 weeks of core curriculum, including practical applications, 1 week for project submissions, and 3 weeks for a final, integrative capstone project.
- Week 1&2 - Module 1 will teach you Foundations for Data Science
- Week 3 - Module 2 is about Data Analysis & Visualization
- Week 4 - Module 3, Machine Learning
- Week 5 - Module 4, Practical Data Science
- Week 6 - Learning Break
- Week 7 - Module 5, Deep learning
- Week 8 - Module 6, Recommendation Systems
- Week 9 - Project Week
- Week 10-12 - Module 7, Capstone Project
The above modules and their headings include a lot of sub-topics. They will deal with the basics and take you to advanced material. From Python foundations to advanced machine learning, your journey with expert mentors will teach you a lot.
The application of data science techniques to real-world problems is one of the main objectives of this program.
We suggest you have clarity about your objective behind pursuing this course. Do you want to enter the data science field as a fresher? Are you finding a way to enhance your current data science role? Such questions should be asked to have a clear picture of the career goals.
Reviews from the professionals
Professionals who completed this MIT data science certificate show an actual picture with their reviews. Here, we have mentioned some of them so that you can get an idea. Andrea Robles, who is a Sr. manager of Credit Models Data Analysis at Scotiabank, has mentioned that she mastered Python coding for data analysis through this course. She also mastered machine learning and enhanced her data analysis.
Caleb Ward, an informatics & data science advisor at Columbia University, is another professional who has benefitted from this program. He mentioned that the capstone project gave him deep exposure to learning modules. This program will help him to excel in his career.
Sreenivas Angara, Management Consultant at Walkertown Technologies, wrote that the MIT Applied Data Science Program is very well structured and makes your learning interesting. He praised the mentors and highlighted the Python modules, which take you from the fundamentals to advanced.
From these and other reviews, it is confirmed that this program is worth it and prepares you with the promised skills. Your heartfelt dedication will be the main factor that will extract the best out of this 12-week online course. You can find all the reviews and visit MIT's official website for more detailed information.