Advice for new data science students
- Curiosity : If you are not curious , you would not know what to do with the data .
- Judgmental : It is because if you do not have preconceived notions about the things you wouldn’t know where to begin with .
- Argumentative : It is because if you can argument and if you can plead a case , at least you can start somewhere and then you can learn from data and then can modify your assumptions.
- Start by gaining a solid understanding of the basics of programming, statistics, and linear algebra.
- Learn the tools of the trade such as Python, R, and SQL. Familiarize yourself with the most popular libraries and frameworks like numpy, pandas, and scikit-learn.
- Practice, practice, practice. Participate in online coding challenges and hackathons to improve your skills and gain experience.
- Learn the basics of machine learning and familiarize yourself with the most popular algorithms.
- Read research papers and stay up-to-date with the latest developments in the field.
- Learn how to communicate your findings effectively. Being able to present your work in a clear and compelling way is just as important as the technical skills you possess.
- Build a portfolio of projects that showcase your skills and experience.
- Network with other data scientists and professionals in the field. Attend meetups and conferences, and connect with people on LinkedIn.
- Be curious, and don’t be afraid to ask questions.
- Finally, don’t be discouraged if you encounter challenges or roadblocks along the way. Learning to become a data scientist is a journey, and it takes time, effort, and dedication to succeed.
Introduction to Data Science
In a world of data space where organizations deal with petabytes and exabytes of data, the era of Big Data emerged, and the essence of its storage also grew. It was a great challenge and concern for industries for the storage of data until 2010. Now when frameworks like Hadoop and others solved the problem of storage, the focus shifted to the processing of data. Data Science plays a big role here. All those fancy Sci-fi movies you love to watch around can be turned into reality by Data Science. Nowadays its growth has been increased in multiple ways and thus one should be ready for our future by learning what it is and how can we add value to it.
Introduction to data science
Without any hunches, let’s dive into the world of Data Science. After touching to slightest idea, you might have ended up with many questions like What is Data Science? Why do we need it? How can I be a Data Scientist?? etc? So let’s clear ourselves from this baffle.
Table of Content
- What is Data Science?
- How Data Science Works?
- Advice for new data science students
- Advantages of data science:
- Disadvantages of data science:
- Introduction to Data Science – FAQs