Onpipeline™ is a cloud-based, reliable, and scalable Sales CRM (SaaS) that includes a full suite of tools that boost sales productivity and make the sales process more human. We believe your business deserves software that’s easy to setup and use, and requires minimal training and customization.

We take privacy and security seriously both in our products and our organization to protect the data our customers entrust to us. Onpipeline is fully committed to meeting GDPR requirements at all levels. You own your data, and we never use it beyond the service we provide to you. You can always export it, delete it or transfer it. We store and protect your data using a world-class infrastructure. For optimized performance and compliance, our databases are stored in Europe or in the United States.

ProjectPro’s data science mini projects in Python and R cover diverse industry use cases and you are definitely going to find something that you love or a problem you would want to solve and use your knowledge to do it. Each data science project will let you practice and apply the skills that you have learned in ProjectPro’s Data Science,Machine Learning and Deep Learning Courses. In every Python or R data science project you will perform end-to-end analysis, on a real-world data problem, using data science tools and workflows.

As a data science beginner or a student, it can be very difficult to assess which data science projects should actually be done first as a beginner and which projects should be put on the back burner. In choosing what to start with, we have listed the top 10 data science projects for students and beginners that will make learning data science easy.The prime advantage of these data science mini. Projects for beginners is that each one is a complete full-stack data science problem.