Setting yourself up for a job in data science might be an excellent choice. You'll be able to take advantage of numerous opportunities to work, plus you'll have the chance to be a part of the tech field that offers room for creativity and experimentation. What's your approach?
If you're an undergraduate
Selecting a school that has a degree in data science, or at least one that offers classes in analytics and data science is a vital first step.
You're an experienced professional looking to switch your career
Although most data scientists are trained as statisticians or data analysts, others are from non-technical areas like economics or business. What can people with such different backgrounds be in this same area? It's crucial to examine the things they share the ability to solve problems, the ability communicate well , and an endless interest in the way things are made. Find out how you can benefit from Python for Data Science provides you with the necessary tools to become certified as a data scientist.
Apart from these skills in addition, you'll need an in-depth understanding of:
- Machine learning and statistics.
- Coding languages include SAS, R or Python.
- Databases like MySQL as well as Postgres.
- Technologies for data visualization and reporting.
- Hadoop along with MapReduce. If you're not keen to study these techniques on your own enroll in the online Data Science with Python Course or join the bootcamp. Also obviously, of course you must be a part of a network. Meet other data scientists from your organization, or search for an online community. They'll provide insider info on what data scientists are doing and the best places to look for the most lucrative jobs.
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