Even if you learn advanced concepts in theory like Stochastic gradient or gradient descent, would you ever know how and when to apply these concepts unless you practice them? Our panel of industry experts strongly suggests that working on real-time data science projects can help professionals looking for a job in data science. You should pick up a small dataset and build a classification model using Python, R, or other programming languages. Then, just reading and understanding the theory will not help. Let us suppose you are learning the concept of classification. Instead of learning theoretical concepts in data science and machine learning, working on live data science projects can smoothen your job application process. Getting a data scientist job may not be easy, and you may be applying to many data scientist jobs before securing one. Landing on our data science projects page suggests that you are likely a data scientist or are yearning to become one, and you started looking for a job in this domain. As the cherry on the icing, there are experts to guide you with resume writing and interview preparation as well, to culminate the whole process of making you job-ready.ĭata Science Projects: Beginner to Professional They not only have enterprise-grade projects, but also set up 1:1 sessions with seasoned experts in case we get stuck, or are having trouble understanding a certain concept. I also had a conversation with their investors, and I was really glad to articulate my appreciation of the product. I have had a couple of interactions with Binny and each time I was left happy and content. I am a customer who is not only satisfied with ProjectPro but also mighty impressed by how Dezyre bends over backward to ensure customer satisfaction. I now work at a leading healthcare startup as a Senior Analytics Consultant. I managed to switch to analytics companies, only because of the relevant practical experience this product served me with. This is when I was introduced to ProjectPro, and the fact that I am on my second subscription year only goes to prove that the ROI is satisfactory. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge. I come from Northwestern University, which is ranked 9th in the US. In my sophomore year of college and getting hands-on exposure to technologies like PySpark, NLP, Kafka, etc, and being able to really apply the theory and work on a project from start to finish really boosted my confidence in general! But this has also been solved by experts we can chat with and believe me when I say this they will do whatever it takes to solve your problem even if it takes longer than expected. Another thing we all struggle with is how to really connect with someone if we're stuck somewhere because there are so many solutions. The fact that I can have a reliable route and videos explaining each tool in detail really motivated me to continue with the platform. The main issue was the right path to guide us in using these tools and adding to the resume, and that's exactly what ProjectPro got me through. One of the standout features was that it featured real projects on topics I just read about, across different job descriptions at the time. I was one of them too, and that's when I came across ProjectPro while watching one of the SQL videos on the E-Learning Bridge YouTube channel. Very few ways to do it are Google, YouTube, etc. As a student looking to break into the field of data engineering and data science, one can get really confused as to which path to take.
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