Applied Data Science Program: Leveraging AI for Effective Decision-Making Reviews

My expectations were quite high from this program, and they were fully met.

My expectations were quite high from this program, and I'm delighted to say they were fully met. It was well-structured, focusing on clarifying fundamental statistical and mathematical concepts crucial for a deep understanding of the subject. The topics progressed logically, supported by clear examples and an extensive bibliography for further study. The mentors expertly bridged theory with practical exercises and real-world cases, igniting a deeper interest and passion for the subject. Developing ‘Full Code’ projects significantly enhanced my practical skills, particularly in Python for machine learning, allowing me to apply my knowledge effectively. Our Program Manager played a pivotal role, offering consistent and practical support, ensuring a seamless learning experience without hurdles. A dedicated student channel fostered a collaborative and stimulating learning environment, encouraging fruitful exchanges and teamwork. Despite juggling work and family commitments, I dedicated many weekend hours to studying, drawn by the program's richness and my passion for the subject. This effort has already paid off, as I'm now applying Machine Learning models within my organization. While I know my journey of growth has just begun, thanks to this program, I feel equipped with the confidence and tools to continue. I wholeheartedly recommend this program to anyone serious about Data Science, urging them to engage actively and enthusiastically.

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Insights from industry experts and hands-on projects made the program truly remarkable.

The MIT applied data science program was truly remarkable as it provided us with the opportunity to get insights from industry experts and apply that knowledge through hands-on projects. It was an amazing experience as we delved into learning a new programming language. Witnessing our fluency grow to the point where we could proficiently analyse various scenarios was particularly rewarding.

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The pre-work materials provided a solid foundation, crucial for a beginner like me.

I started the program with zero experience in Python and Data Science, unsure if I could succeed. However, after three months of dedicated learning, I now confidently handle technical aspects, analyze data, and present findings with recommendations. The pre-work materials provided a solid foundation, crucial for a beginner like me. The lectures by MIT professors were captivating, and mentor support was invaluable in bridging theory and practice. The program manager's consistent support made the online experience feel connected and personal. Overall, it's been an amazing journey with the MIT applied data science program, inspiring me to contribute meaningfully to this innovative field.

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The program's intensity pushed me to excel and seamlessly master Python coding for ML.

Completing the MIT Applied Data Science Program was pivotal for me. With a background in Statistics and Mathematics, I sought to refresh my skills and stay current in Data Science. The program's intensity pushed me to excel, and its intuitive platform and responsive support made the journey seamless. I mastered Python coding for data analysis, visualization, and Machine Learning, enhancing my capabilities as a Data Scientist. Now, equipped with deeper insights into ML and data-driven decision-making, I confidently contribute to projects as a Product Owner, bridging technical expertise with stakeholder needs.

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The MIT Applied Data Science program offers a truly transformative 12-week journey.

I'm immensely grateful for the transformative journey I've had in the MIT Applied Data Science program over 12 weeks. Starting with Python basics, we delved into Data Science essentials, statistical analysis, and machine learning. The support from faculty members and flexible project options made learning enjoyable. From deep learning to AI applications like Computer Vision and Generative AI, each module expanded my horizons. I can't thank MIT and Great Learning enough for this invaluable experience.

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The mentorship and support offered here stood out, adding immense value.

As a senior business analyst, I sought to elevate my skills for greater contributions to my company. The program surpassed my expectations, providing comprehensive knowledge and full support. While many online courses exist, the mentorship and support offered here stood out. Additionally, the career preparation, including 1:1 live sessions with industry professionals, added immense value. Overall, it's been a fulfilling journey that has truly enhanced my capabilities and career prospects.

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Interactive sessions with practical coding exercises enhanced my experience in the Applied Data Science program.

The Applied Data Science program offered an extensive exploration of various tools and methodologies essential in the field. The faculty facilitated interactive sessions, ensuring ample opportunities for participants to engage with the material through practical coding exercises.

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Great Learning offers a multi-modal approach that ensures the content sticks long after being introduced.

As a new parent and full-time employee, building new skills seemed daunting, but Great Learning made it possible. The program team and faculty take a multi-modal approach, ensuring the content sticks long after being introduced through live lectures with MIT faculty, code reviews, professional mentorship, videos, texts, and supplemental readings. This comprehensive support system allowed me to apply what I was learning from day one, making it a highly recommended program for any user researcher looking to deepen their quantitative research skills. Although the schedule changes with MIT Faculty sometimes shuffled lectures, the overall experience was highly beneficial.

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Gained invaluable skills in handling and training machine learning and AI models.

I acquired solid concepts and gained skills in handling and training machine learning and AI models. I also obtained a wealth of fundamental information and understanding of data science and machine learning resources. This practical experience is invaluable for my development in the field.

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The program provides a solid foundation and covers Python, algorithms, and applied algebra/calculus.

Having completed the Applied Data Science Program, I found it to be well-structured yet rigorous. The faculty offered a wealth of knowledge, and while challenging, the program is excellent for those entering the field of Data Science. It provides a solid foundation, covering Python, algorithm construction, and the applied algebra/calculus. Modules include recommendation systems, machine learning, deep learning, and data analysis & visualization. Despite the intensity, resources are available for three years, offering ample opportunities for reference and continued learning.

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