How long does it take to be a good Data Analyst/Scientist?
When you’re planning to become a good data scientist or data analyst, you’ll come across different paths that can help you reach your career goals. Depending on your background, the skills and experience you already have, and the time you’re willing to invest, these career paths could help you become a successful data science professional from anywhere between 8-10 weeks and four years. If you want to take the long-term route to your data scientist career by opting for undergraduate and master’s courses taught in colleges and universities to learn the relevant mathematics, statistics, and programming languages, you should be ready to spend 4 years at the most (for undergraduates) and 2 years at the least (for master’s courses). Some data science experts even say you can learn these in approximately 6 months, provided you’re able to commit almost 6-7 hours each day. However, if you don’t need to begin from scratch and already have good knowledge of the fundamentals, you can fast-track your data science career by joining a data science bootcamp in Silicon Valley.
The quickest route to a successful data science career
When you choose a full-time data science bootcamp in Silicon Valley that offers specialized guidance to help you shine in your chosen data science role, you can expect to spend anywhere from 8 weeks to 12 or 13 weeks. Depending on your skill-sets and experience, you can choose an entry-level bootcamp designed to help you learn and hone the basics and land an entry-level job (say, as a data analyst), or choose specialized courses targeting people, who’re already having some experience in the field and planning either a career change or looking for better opportunities.
Since data science is a cross-disciplinary field, data science bootcamps in Silicon Valley that are designed for beginners usually target to develop the relevant skills required in Mathematics, Statistics, and Computer Science (Machine Learning). However, bootcamps targeting intermediate professionals may need you to dive into the complex world of data science right away. For instance, if you choose a Hadoop and Spark bootcamp, you could expect to use Python, Java, and Scala together with an emphasis on how you’ll have to put Hadoop tools to use to analyze large volumes of data.
A full-time data science bootcamp in Silicon Valley is often intensive and includes group sessions as well as one-on-one sessions with a dedicated career coach or industry expert to help build the collateral and skills you’ll need to succeed in your data scientist career.
In case you believe such fast-paced courses aren’t suitable for you, you could seek part-time or self-paced data science bootcamps in Silicon Valley. These could take 2 to 6 months depending on the curriculum they’ll cover.
If you want to learn or hone skills in any specific domain, such as Machine Learning, NLP (Natural Language Processing), or Statistical Modeling for Data Science, to name a few, you could even check mini bootcamps that are likely to be completed typically within 12 hours.
You should understand your data science career goals, learning requirements, budget as well as time commitments to make the right choice when choosing a data science bootcamps in Silicon Valley to fast-track your career.
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To learn more about data science requirements, click here and read our another article.