## How Can I Get A Job In Data Science Without Knowing Everything?

Despite its seemingly unlimited potential, an extremely bright future, and the dearth of professionals that make this domain lucrative, **data science** could sound intimidating. This is especially true when you feel you donâ€™t know everything about it. But does it mean you canâ€™t get a job in this field unless you know everything? Wouldnâ€™t it be pretty unrealistic as there will always be new developments to know about in this fast-evolving field? If these questions are bothering you, know for sure that you can still bag a **data science** job even if you donâ€™t know everything or have adequate experience or a degree in mathematics/computer science.

**Your path to a career in** **data science** **without knowing everything**

Whether you want to **become a data scientist **or** **land that coveted job in the field of **data science, **here are the steps to follow:

**Learn and hone the relevant skills**

For a successful** data scientist career, **you need to have certain skills in mathematics, statistics, and programming languages. While the transition to** data science** would be easier if you have a programming or quantitative background, it isnâ€™t impossible even if you donâ€™t have one. However, you should be ready to work hard in the latter case.

Your first step will be to learn and/or sharpen your mathematical skills and concepts like probability theory and statistics, which are crucial for the implementation of algorithms. Some math and statistics concepts to master could be:

- Linear algebra
- Probability theory/distributions
- Statistical modeling and fitting
- Data exploration
- Probability
- Hypothesis testing
- Multivariable calculus
- Regression analysis
- Bayesian thinking and modeling

After you have built a robust foundation with the above, you should learn some of the key programming languages that are crucial to excel in your **data scientist career, **such as Python, R, and SQL, to name a few.

The quickest and most effective way to polish up your math and statistics skills in addition to learning a few programming languages is to enroll in a reliable **data science bootcamp in Silicon Valley.**

**Get real-world projects**

Learning and mastering the relevant **data science **skills are absolutely mandatory, but to leverage them the best way, you need real-world practice. This means you should be able to apply your learning and skills to solve real-world problems as this would give the necessary confidence and help you get adequate experience. Both of these will make the path to your dream **data science** job much shorter. But how do you do this? The answer lies in joining a **data science bootcamp in Silicon Valley.**

Not only will such a bootcamp give you the chance to get trained by industry experts and ask them questions but even let you learn via real-time projects and assignments. Additionally, youâ€™ll benefit from peer-to-peer interaction and brainstorming sessions. The opportunity of being mentored by industry experts and **data science **professionals, who have already mastered the domain, is an added advantage of such **data science bootcamp**s** in Silicon Valley.**

**Final words**

Once youâ€™re confident in your **data science **skills and abilities, you can begin your **data scientist career, **say** **with the job of a data analyst, and move up from there with continued education and growing experience.

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*To*Â learn more about data science,Â * click here*Â and read our another article.