Data Science

I took the Data Science with Generative AI course with the goal of strengthening my understanding of these topics from a Project Management perspective, without going too deep into the technical side.What I appreciated the most is how the course is structured to support different levels of technical depth. It offers both low code and full code experiences, which allows you to tailor the learning to your own expectations and background.As a Project Manager, this was especially valuable because it helped me better understand how data and AI projects work, how to communicate more effectively with technical teams, and how to connect business needs with technical solutions.One consideration is that the course requires a significant time commitment. Balancing it alongside a full time job can be challenging at times, so it is important to plan your schedule accordingly.Overall, I would recommend this course to anyone who wants to build a solid foundation in Data Science and Generative AI, while keeping the flexibility to go deeper technically if desired.

I enrolled in Data Science free bootcamp and learn lot about tools like numpy pandas seaborn matplotlib and different algorithms like eda model traning and model evaluation and lot more like data manipulation using pandas and data analysis using seaborn and matplotlib.

Asik banget belajar Di dibimbing, mentor baik, class manager helpful, talent support responsif. Dari saya yang pertama kosong banget terkait data science sekarang jadi percaya diri dan bisa mendapatkan posisi kontrak di perusahaan.

Completing the Data Analytics course daunting yet exciting. Following a highly successful 21 year career as a Researcher and University Professor, I decided to embark on a new challenge that would enhance my research expertise and open doors to fresh opportunities. Then I came across the Data Analytics Essentials course offered by Great Learning (GL) and the University of Texas at Austin. To be honest, during the first few lectures, I struggled to stop my heart from throbbing in my chest. As an accomplished academic and Researcher, I was used to formulating hypotheses and logically developing them to conclusions, but this new world of data analytics was all about numbers and code. However, it soon became apparent to me that the entire Great Learning pedagogical framework was designed to cater for novice data scientists like me. After the initial few weeks, I realized that different teaching techniques, such as videos, notes and case studies, are used to familiarize Learners with the study content before the faculty provide further explanation and clarifies any doubts. The assessment strategy is equally well structured and diversified, ranging from questions within each content section to stimulate understanding, to weekly graded assessments to ensure focus, and to end-of-module practical hands-on projects to ensure the course objectives and deliverables are met. "Yes", I must admit that the Data Analytics Essentials course has been one assignment on which I could not blink due to the fact that everything looked new to me, but it is for the same reason that I am overjoyed to have successfully completed the course. Throughout the course, regular, timely, and effective communication from the program office served as the coordinating thread, ensuring I did not miss any important dateline activities. 

I enrolled in a Simplilearn course after being verbally assured by their sales representative that:* The course would be non-programming, and* The classes would be conducted in Hindi.However, after enrollment, I discovered that the course was heavily programming-oriented and delivered entirely in English. As someone who does not have strong English proficiency, this made the course practically unusable for me.I raised concerns shortly after enrollment, but no corrective action was taken. I again requested a refund and even filed a complaint through the National Consumer Helpline. Despite this, the company has refused to process the refund, citing internal policy timelines.This situation has caused me financial loss and considerable mental stress.## ⚠️ Warning to Future Learners-Please do not be influenced by their words and make any decision after careful thought.

My experience was terrible.There are no real mentoring sessions, no clear methodology, no structured learning plan, and zero personalized follow-up. Complaints are simply ignored: no feedback, no solutions, no accountability from management.The master’s program is outrageously expensive for a very poor level of quality. I completed it only through personal effort and by learning from external sources. The focus is purely commercial, not educational.There are no internships and no real job placement support. The HR team doesn’t properly review CVs, constantly finds excuses, and never sends profiles to companies, despite many open Project Manager roles. This is not an isolated case... most of my classmates share the same opinion.The only thing Nuclio does well is sales: they are excellent at selling something that completely fails to deliver.Strong marketing, weak education. Money wasted....

I enrolled in WBS School’s Data Analytics course and had an outstanding experience. The program is very well structured, and the instructors are highly dedicated and supportive. The learning materials and platform are continuously updated and designed to guide students step by step.The course workload is well balanced, and the structure matches both the timeline and learning curve of participants. Overall, it was a highly rewarding journey, and I can confidently recommend this course to anyone looking to expand their data analytics skills.

I completed the Data Science 2024-2025 program and was delighted with it. The courses are very high quality and really intensive, so you have to work hard, but you come out with real skills that are validated through the project you present at the end of the program.

This data science course has been an incredibly enriching and transformative experience, equipping me with the essential skills and knowledge needed to thrive in this rapidly growing field. The curriculum is thoughtfully structured, balancing theoretical concepts with practical, hands-on application. It starts with foundational topics like statistics and linear algebra and smoothly progresses to advanced areas such as machine learning and deep learning. I particularly appreciated the emphasis on real-world projects, which allowed me to apply what I learned to complex datasets and solve meaningful problems.The instructors are top-notch, possessing deep industry expertise and a genuine passion for teaching. They were always available to clarify doubts, provide constructive feedback, and offer insights that went beyond the textbook. Their engaging teaching style made even the most challenging concepts easy to grasp. The course also utilizes cutting-edge tools and languages like Python, R, SQL, and various cloud platforms, ensuring that students are proficient in the technologies that are in high demand in the job market.

As a mid level excel user, I'm learning great skills to advance my knowledge in the field of Data Analysis. Our instructor, Sweta Bhadra has a unique and patient manner or instructing. I could not ask for a better experience.

 Je suis très heureux d'avoir suivi les différentes formations proposées par DataScienTest, à savoir Data Science, Ingénieur MLOPS, Data Product Manager, ainsi que les spécialisations NLP et Computer Vision. Elles m'ont permis d'acquérir de solides bases (et qui puis est, à jour) dans ces différents domaines, et ceci me permettra de rebondir dans mes recherches de carrière, même après 50 ans. 

The live sessions and one-on-one session truly made a difference. They weren’t just classes, they felt like guided support through my learning journey. The Python hands-on sessions especially stood out, helping me gain better conceptual clarity. I could actually feel the difference in my understanding, not just memorize it. Grateful for the way everything was structured to build confidence, step by step.

Good informative  session Sakshi for Data science Thanks for providing the knowledge. Thanks for your detail's explanation and examples. Understating code concepts with pythonNice explanation We are able to learn so many new things. Thanks for all of these

Jedha est un organisme de formation efficace dans le domaine de la Data et de la Cybersécurité. J’y ai passé au total quasi 4 mois, intensif mais très instructif. Vous sortirez des boot camps avec tous les outils nécessaire pour pouvoir exercer dans ces domaines. Je recommande vivement Jedha à ceux qui aimerait entamer une reconversion pro dans les métiers de la Data ou de la Cybersécurité ou simplement acquérir des connaissances avec les Essentials !

Lifetime Access: Learners get lifetime access to course materials, which allows them to revisit and review the content anytime. This is particularly beneficial for continuous learning and reference.

I'm delighted to share my experience completing the course on Data Science and Machine Learning with MIT and Great Learning. I had a good learning experiences during this program from the beginning to the end of the program. The mentors that took us through the various topics were exceptional with their lectures as they tried to ensure that everyone understands the topic being taught. The program officer assigned to me was apt with her follow up to ensure I did not lag behind and always responsive to any question I had. Overall, I can say the course was well-structured and packed with real-world applications as well as very engaging with a user-friendly platform. The curriculum is all encompassing for both beginner, intermediate and Advance data analyst/learner as it covers everything from the basics of data science to advanced machine learning techniques. As a beginner, the program has lay a good foundation to start with, as I have gained the requisite insight and knowledge on data science and I'm excited about the future that lies ahead of me while eager to explore more. I recommend MIT/Great learning for anyone looking a structured and practical real-world learning experience.

Studying the Data science and Machine Learning IDSS MIT program has been a total positive experience, the content is challenging but the program makes it easy to learn and apply, practice content is very valuable.

The concept understanding was very clear and the pace of the lectures are very comfortable. Just needed more variety of  examples and problems. the content discussed in the class are also to the point.

This course provided me with valuable tools, knowledge, and networking opportunities to understand current trends in AI and how vast amounts of information can be leveraged to gain insights and make data-driven decisions.Coming from a research background in food science, this program helped me grasp how data science can be applied to tackle numerous challenges and explore exciting opportunities in my field.Additionally, I received excellent support from the mentors and facilitators throughout the program. The Olympus platform guided me seamlessly through the learning process, and the quality of the content was outstanding.Overall, it was an enriching experience that has greatly expanded my perspective and skill set!

My experience with the Data Science and Machine Learning Internship Program was truly transformative. The mentors created a motivating and engaging learning environment, which fueled my passion for data science and machine learning. Their expertise and real-world insights were invaluable in making even the most complex topics accessible.The program's structure was excellent—covering foundational concepts and gradually progressing to advanced topics. The hands-on projects were a highlight, allowing me to apply my learning to solve practical problems. These projects bridged the gap between theory and application, giving me a solid understanding of real-world scenarios.The collaborative environment was another standout aspect. Interacting with peers from diverse backgrounds provided fresh perspectives and encouraged innovative problem-solving. The program also offered robust support, with a team always ready to assist with questions or challenges.Thanks to this internship, I now feel confident in handling data science and machine learning tasks independently. I’m incredibly grateful for the guidance, resources, and encouragement from the mentors and team throughout this journey. I highly recommend this program to anyone looking to deepen their skills in data science and machine learning!