WeCloudData

WeCloudData's Data Science Bootcamp offers a comprehensive curriculum that covers the essentials of data science and analytics. With a focus on real-world applications, students learn through a mix of lectures, hands-on projects, and collaboration with... Read More peers. The course is designed to be accessible to beginners while also challenging enough for those with some background in the field. Graduates of the program praise the supportive learning environment and the emphasis on practical skills that are directly applicable to the job market. Overall, it's a solid choice for aspiring data professionals.

WeCloudData's Data Science Bootcamp exceeded my expectations, earning a well-deserved 5 stars. The comprehensive curriculum covers essential topics in data science, including thorough courses on Data Science Toolbox, Data Visualization, Applied Machine... Read More Learning, and Python for Data Science. The recent updates incorporating cutting-edge technologies such as Generative AI and LLM showcase the program's commitment to staying at the forefront of the rapidly evolving field, providing students with invaluable skills for the future of data science.

Deciding to go with WeCloudData was one of the best decisions I made during my career switch. Their Bootcamps are intense but they get you where you need to go. The instructors are amazing and the TAs very knowledgeable. Their client projects taught me... Read More a lot even after the bootcamp was done. I was able to land my current job thanks to the skills and training from the course.

First of all, overall, I think this part time applied machine learning course which is a part of DS bootcamp did a fantastic job in following manner. Summary of Pros (Advantages): 1. Help me reshape and boost up my knowledge in machine learning algorithms... Read More and best practices 2. Showcase demo of real client project from the instructor (not from WCD curriculum) 3. Hands on labs and case study for each module (i.e., per algorithm: regression, classification, etc.) Summary of Cons (Disadvantages): 1. There is a bit of discrepancy between course outline (PDF) file vs. actual curriculum delivered throughout the course • Ex 1. Course Outline said: covering two capstone projects but actually we covered only one final ML capstone project… • Ex2. Also, I don’t know if this is because of recent changes in course curriculum but each week module was not delivered in the order as outlined originally in the Course Outline. So, it was bit confusing to follow it. 2. Lacking few solid contents that would give a boost to this course Ex 1. Although a few labs and use cases are helpful, yet I think this can be improved much better on couple of aspects. 1) align specific use cases/labs for industry domain/business problems (i.e., K-mean clustering lab to tie with “customer segmentation” from retail market data etc., building a recommender system with movie dataset etc.) Ex 2. In comparison to first half of course contents, second half of course contents I felt like quality of labs and use cases diminished a lot. For example, it would have been helpful to have a lab session on effect of neural network architecture (i.e., # of neurons, hidden layer sizes etc.) and some other interesting lab of image classification etc. Ex 3. Having a limited time, I fully understand but it would have been so much great to cover content about how do we deploy python codes (i.e., modular functions or class doesn’t really matter) in real production environments (i.e., web app like Flask framework or Cloud environment)? I am not sure this content is covered in another course (i.e., big data for data scientists, etc.). Because that is the point that Shaohua always mention in his AMA/free WCD information sessions. 3. Required a bit improvement in resourcefulness of TA office hours. Ex 1. 1st incident – one of students asked about why do we drop dummy variables in pd.get_dummies(), TA could not explain the concept thoroughly and I kind of jumped in the Zoom chat to provide detail explanation using a simple example (i.e., gender variable with values of M, F and Others). Perfectly, I understand that as a human we don’t necessarily know and have all the answers but that was one of fundamental question that I felt like TA should aware of it. I have no doubts about technical/coding knowledge but this incident prompt me a question. Ex 2. 2nd incident – there was one time I joined WCD office hour session during the break week where we can join the call and ask questions about the capstone project. However, as soon as I joined the session I got kicked out and with no further explanations/directions/notices. For example, if someone else (other students) is having a call already please contact me later or schedule a meeting separately I think this kind of notification is normally expected. I was a bit disappointed about this because I think the TAs didn’t act professionally to address or notice this issue. So, because of this experience I didn’t really bother to join another call and ask questions (i.e., just recap on materials covered by instructor and search on Google to find my own answers.). In summary, I think this kind of lacking in customer service mindset should be aligned well with TAs and staffs to interact with students. In other words, try to wear a student shoe as you were LONG TIME AGO… 4. Some minor administrative stuffs on WCD website/slacks Ex1. Mismatch/discrepancy in actual course start dates: WCD course website and course enrollment application form. This causes me a bit of problems on re-scheduling some of my important appointments/vacation plan. I raise this issue to program manager in which he acted professionally and promised it would not happen again which I highly appreciated a lot. Ex2. Capstone Project Group Assignment/Presentation Roster: this is just minor nuances but I thought it was bit disorganized to help out which students are forming a group or an individual presenter. Then after that what is the order of capstone presentation, I suggested in “general” thread of slack that whatever platform works (i.e., Google Sheet) with template, this can be more organized and sorted out clearly who are in what group/individual and what order are we presenting etc. Lack of organization does seem a bit of chaotic too me not sure about other students’ experiences. Ex3. Learning Materials Upload: in most cases, program manager did a fantastic job on keeping track of posting/uploading course learning materials on WCD learning portal (over the weekend) prior to having lectures on start of each week (i.e., Tuesday session). However, sometimes there was a bit of delay so I couldn’t prepare myself before attending the lecture since the course pace is very fast and heavy in contents. 5. Overall course delivery/pace Overall, course is really great with contents and everything. However, sometimes I think the delivery of lecture are too fast that I got lost track of concepts/explanations. In addition, time to time, the instructor seems a bit rush to complete the lectures (i.e., given there are a lot materials to be covered in the course). Perhaps, WCD staff should re-visit and think about how can you improve the overall course delivery experience and finding the right pace. Please note that I have been big fan of WCD for their willingness to host great free informative sessions/workshops. That is why I was super confident enough to sign off on this amazing applied ML course – I really think that my education budget is well spend on the best course. However, due to some cons (i.e., points/examples) that I mentioned earlier in the above section, I cannot give 5-star ratings. I really hope that WCD continue to seek improvement in their curriculum and become one of the best DS/ML bootcamp in North America (i.e., even in the world). Also, I am looking forward to take other courses in WCD academy as well. Thanks,

I had the pleasure of attending WeCloudData's Data Fundamentals bootcamp, which was fantastic. The highly qualified instructors used cutting-edge teaching techniques that greatly facilitated understanding the logic of coding and programming. They carefully... Read More progressed us from fundamental to more complex subjects, avoiding any feeling of overload. I wholeheartedly endorse this course for anyone hoping to become a data analyst—it'stheonly one you'll need. The teachers are very outstanding!

This bootcamp provided me with the necessary technical skills and industry knowledge to secure a data job. The instructors are knowledgeable and shared everything they know to help me achieve my goals. The TAs are resourceful and patient answering my... Read More questions. The projects in the bootcamp enhanced my knowledge and impressed interviews. This is a wonderful bootcamp if you are looking to either imporve your skills or switch career!

The course has a very structured, modern curriculum and engaging classes with experienced instructors. You learn from real-life examples, which makes it easier to understand. The content includes Linux, Cloud, Containers, Kubernetes, IAC, and more. The... Read More classes are recorded and can be reviewed anytime. Apart from the classes and lab sessions, the cherry on top is the hands-on projects, where you will be able to build an end-to-end DevOps pipeline from scratch. Moreover, the DevOps team is always available to answer questions anytime. I would definitely recommend WeCloudData DevOps Engineering course.

I decided to join the Business Analyst Bootcamp based on glowing reviews and recommendations from fellow graduates, and I'm thrilled to share my experience. This program not only met but exceeded my expectations in preparing me for a career in the industry.... Read More Comprehensive Curriculum: The Bootcamp offered a well-structured curriculum with just the right level of difficulty to equip me with the skills needed for the industry. I was particularly impressed with the emphasis on practical projects. Over the course, I completed 7 to 8 projects from scratch, involving data cleaning, preparation, and creating insightful dashboards. Each project was industry-level, providing me with hands-on experience that I believe is crucial for success in this field. After completing the bootcamp, I was fortunate to be paired with an experienced mentor who played a pivotal role in my journey. Their guidance was invaluable, especially in preparing for job interviews and presenting myself effectively. This was exactly what I needed to bridge the gap between classroom learning and real-world application. Room for Improvement: While the bootcamp was exceptional in many aspects, I was hoping for more opportunities for referrals and interactions with previous graduates who are already working in the field. Such networking and exposure opportunities could further enhance the experience and open doors to better career prospects. In conclusion, joining the Business Analyst Bootcamp was one of the best decisions I've made for my career. The program's hands-on approach, experienced mentors, and comprehensive curriculum have not only honed my skills but also prepared me for the competitive job market. I highly recommend this bootcamp to anyone aspiring to excel in the field of business analysis.

It was the best decision to join WeCloudData. The support and guidance were exceptional. They understand individual needs and cater the program accordingly. I highly encourage people with previous experience in the data field who want to upskill and prepare... Read More for the Canadian market to consider WeCloudData. It's definitely the right choice.

I joined WeCloudData's business intelligence bootcamp and was impressed by the quality of the course contents. Instructors were knowledgeable, had lots of experience in the industry and what they taught was practical and helped me prepare well for what's... Read More needed in the workplace.