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 don’t know everything about it. But does it mean you can’t get a job data science without knowing everything? Wouldn’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 don’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 isn’t impossible even if you don’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, you’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 you’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.