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Can I learn data science in 6 months?

Data science has great potential as far as expansion is concerned as a career. However, building a career in data science is tough to build, and it takes time. Therefore, preparing takes a long time if you choose to take this path. In addition, you may need some degree or educational background to understand what it is and how things work fully. As a result, some people decide to move to data science from an entirely different field. 

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Today, many people are recognized as data scientists, having successfully studied the field. But can you learn data science in 6 months? Many people like short courses that take little time but is data science one of them? 

Although ambition is admirable, it’s important to also be realistic. Learning data science in just six months is impossible for a beginner, regardless of the amount of effort put into it. This is especially true for those without a technical background or any skills in the STEM field. It’s important to understand the depth of data science.

Begin by gaining clarity on your current situation and understanding where you stand. Then, consider the rudimentary elements needed when one aspires to be a data scientist before taking the path. 

Data science requires a good grasp of mathematics. You should be especially conversant with algebra and calculus because they are the basis of data science.  However, learning alone may not be possible. You may need a tutor to guide you in this. 

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The core of data science

Data science is a vast universe, and so much must be learned and mastered. You never stop learning in this field. You begin with statistics which is divided into descriptive statistics and inferential statistics. Then, you need to master statistics and other areas of math. You must dedicate time to learning if you don’t come from such a background. 

Time series forecasting, deep learning, and machine learning are at the core of data science. You must also learn programming languages like SQL, R, and Python. Machine learning covers disciplines such as speech, vision, neuroscience, etc. It takes time to learn these skills thoroughly, and six months is not enough without any prior knowledge of such skills. 

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Learning the core

Many institutions have been set up to help aspiring data scientists reach their dreams. Many online courses are being offered today as well. This makes it a challenge to settle for the best. Six months is relatively concise. It is better for a beginner to pick a full-time course. Online courses are a good idea for those who are already working. Freshers must dedicate about 8 hours of intensive study daily to learn this field. Even if you dedicate that time, six months cannot be enough. 

You need to pick a course that offers projects based on real data sets. This gives you much-needed experience in data science. You should also take time and participate in contests and competitions. This gives you the experience needed to succeed in this career path. You can access data science materials on your tube and community sites. Some websites expose you to hands on projects which help you test your capabilities. 

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Picking a course that resonates with your needs and matches your schedule is important to help you learn quickly. 

Where to learn

The above elements are essential in picking a part-time or a full-time data science course. The next important thing is deciding where to learn everything you need. Many training institutes and colleges offer data science courses in different parts of the world. You need to do your research when choosing an institution if you are to find the best. Credibility is essential and should be based on the institution’s resources, the teaching faculty, and experience in data science. 

You need to seek the opinion of aspirants who have already gone through the institutes to help you decide how legitimate it is. Communicating with students directly allows you to ask questions regarding their experience in the institution. It also helps you clarify whether there is any chance of concluding a course in 6 months. 

Final step

With knowledge alone, you cannot succeed in data science. You need skills and experience. When you choose a hands on course, you are already exposed to some skills needed in a natural job setting. 

The best courses conduct mock interviews, making it easier to shine when invited to one. Whether you fail or pass the interviews, the main thing is to keep trying. 

Learning data science is not easy, regardless of how hard you work. 

Can boot camps hasten the learning process?

The duration it takes to learn data science can be made shorter or longer depending on the mode of learning that you pick. For example, if you choose to go through college, it will take much longer to finish and get a recognized certificate. College degrees or diplomas often take between 3-4 years. 

The other learning option that is available to aspirants is through boot camps. The beauty of choosing this path is that it takes a much shorter time and is much cheaper than college courses. 

You need to note that boot camps are usually very rigorous. This is because you learn through industry experts, and there is much to gain quickly. However, if you are a beginner, you may find six months a short time to learn all there is to master in data science. 

If you possess a degree in math, computer science, or statistics, bootcamp courses can serve as an excellent means to enhance your skills in specific domains. In just six months, you can acquire knowledge of data science. This is equally applicable to individuals with a STEM background.

Conclusion

The above information helps us realize that learning data science in six months for a beginner is impossible. This is because so many areas need to be covered and mastered for one to be considered successful. In addition, you must handle projects and all subjects associated with the data science area that interests you. 

However, with a background in a related field. It is possible to learn data science in 6 months and be ready for the job market. You should note that data science is constantly evolving. As such, learning never stops. You must remain in step with the latest technologies and inventions in data science to dispense your duties as required. 

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