How to become a data scientist in 2021?
The data-savvy world we live in, it is no surprise that Data Science is said to be the sexiest job of the 21st century and a highly sought after career option. Data scientists work in all kinds of sectors like businesses, government institutions as well as non-profit organizations. Everyone has big data that must be processed to get answers to a wide variety of questions.
What Is a Data Scientist?
A data scientist is a professional who studies big data and comes up with answers to the organization’s questions. These answers are then used to create a marketing strategy or to figure out the pain points of customers. The possibilities are endless. Data scientists require programming and mathematics knowledge.
Is Data Science for you?
Before you spend numerous hours learning about how to become a data scientist, it is wise to make sure that this profession is for you. The internet is the best place to find many preliminary data science courses. These courses will give you a clear insight about what you will learn and what you will achieve by engaging in the career path. These are paid as well as free courses. YouTube is another platform where you can learn more.
Some of these resources include:
The Data Science Course 2021: Complete Data Science Bootcamp by the 365 Careers Team: https://www.udemy.com/course/the-data-science-course-complete-data-science-bootcamp/?ranMID=39197&ranEAID=lKY7Geivj6U&ranSiteID=lKY7Geivj6U-9Y34WsKmfDTPHY0ray_khQ&LSNPUBID=lKY7Geivj6U&utm_source=aff-campaign&utm_medium=udemyads
Forbes also compiled a list of The 9 Best Free Online Data Science Courses In 2020: https://www.forbes.com/sites/bernardmarr/2020/02/24/the-9-best-free-online-data-science-courses-in-2020/?sh=498878a72bbf
Start with a degree (Bachelor or higher)
Here is a list of study fields that will help you to be well on your path of becoming a data scientist:
- Applied Mathematics
- Data Management
- Computer Science
- Information Technology
If you want to speed things up, boot camps are a great option. Also, massive open online courses or MOOCs permit unlimited participation and open access to learning resources on the internet. These courses are offered by MIT, Harvard, Microsoft are other reputed institutes from all over the world.
Figure out your interest area
Because data science is a very extensive branch of general studies, there are many ways to get to this career. Most data scientists begin their journey from undergraduate level in Mathematics, Computer Science, Statistics, etc.
With those degrees, you can get hired for jobs like management analyst, data visualization specialist, or market research analyst. But for roles like machine learning or data engineering you will need a master’s degree.
A doctorate degree can get you in concentrations like enterprise science analytics, or business solutions.
These are an essential on your resume, especially for someone in the IT sector. Certification really drives your chances of upgrading your existing skills and gaining better job opportunities. There are many certifications available in data science. Some of the leading courses are Microsoft’s Certified Solutions Expert, Harvard Extension School’s Data Science Certificate, Certified Analytics Professional (CAP) by a number of institutions, Columbia University’s Data Science for Executives, etc.
Engage with Others
You should share your projects with others, engaging with fellow data scientists is a good start. Quora and Kaggle are great online communities. Find people that you can learn with to enhance your profile and find opportunities. This will also reinforce your knowledge by learning from others and building a network.
Get a job
This is where your learning journey ends and your practical approach to all the skills learnt begins. Data science is a very dynamic field. Thus, you will find several specialized roles that you can go for. You should find an area that interests you.
The field of Information Technology and Data Science is constantly evolving. There are always more options than last year and yet another industry that requires data scientists.