Data science involves dealing with mathematics, technical statistics, computer programming, reporting, and many complicated algorithms. This profession requires a stupendous amount of study and skill.
There is a high chance to lose track at any time of your data science learning without a proper roadmap. So, it’s natural to have questions in your mind: how long does it take to learn data science?
In general, you can learn basic data science in around 6–9 months by spending 6-7 hours a day. If you wish to work as a data science expert, this time frame will be much longer. However, the learning duration can also vary depending on how quickly you understand and learn data science.
For in-depth information about the duration of data science learning, read the entire content.
How Long Does It Take To Learn Data Science?
There are different types of occupations available in data science: data architecture, data analyst, data engineer, data scientist, and so on. Each of these occupations needs to learn the different levels of data science skills accordingly.
The learning levels of data science can be divided into three categories: basic, intermediate, and advanced. Without basic data science knowledge, no one can go ahead with any of these occupations.
Learning the basic knowledge of data science requires approximately six to nine months of dedicated study, about six to seven hours per day. However, to become a professional in data science, you may need much more time to learn.
For example, you will need around 7–8 months to learn data science at the intermediate level. To complete advanced-level data science, you may have to spend approximately 18–48 months.
Different Level Of Data Science Learning
As we said, there are three different levels of data science learning: basic, intermediate, and advanced. Here we have briefly explained these learning stages.
Basic Level
The first step of data science learning is the basic level. At this stage, you need to work with different datasets supplied in CSV file format. You also have to learn data manipulation, data frames, data visualization, linear regression, NumPy, pandas, and matplotlib. To learn these functions properly, an aspirant may need around 6 to 12 months, depending on the learning capabilities.
Intermediate Level
After successfully completing the basic level of data science, you will have to go through the intermediate level. At this level, you have to work with different binary classification algorithms, including perceptron, SVM, logistic regression, decision tree, and k-nearest classifier.
Apart from that, you may also need to deal with model evaluation and hyperparameter tuning. To learn these functions, you may need around 7–18 months.
Advanced Level
At the advanced level of data science, an aspirant is able to work with advanced datasets, including text, images, voice, and videos. To learn these datasets, an aspirant must have learned basic and intermediate skills before.
Once anyone has proper basic knowledge of data science, he has to work with clustering algorithms, k-means, deep learning, Keras, TensorFlow, PyTorch, Theano, and so on. To complete all the advanced functions of data science, an aspirant needs around 18 to 48 months.
Is It Possible To Learn Data Science By Yourself?
Data science is a knowledge base field that requires employing advanced analytics tricks and scientific principles. So, without proper guidelines, it won’t be easy to learn data science for anyone.
To learn data science, an aspirant will need a solid support system and guidelines from highly experienced professionals.
However, it is also possible to learn data science through online classes instead of physically attending classes. This way, you can learn data science independently without attending a school and coaching.
On the internet, you will find different schools or coaching centers to learn data science. You just need to attend the online classes and follow the mentor’s guidelines. It is a fantastic option to practice, make mistakes, and learn data science in your own place.
Will Data Science Learning Be A Good Career?
Learning data science will lead you to different occupations: data architect, data analyst, data engineer, data scientist, and so on. Below, we have pointed out some possible opportunities for learning data science.
- Linkedin declared the career of a data scientist the “Most Promising Career”. According to “Linkedin”, the number of jobs in data science will reach 11.5 million by 2026.
- “Indeed USA” published a report on the most successful data science career choices in 2021. Based on the report, the most demandable careers in data science are data architect and machine learning engineer.
- According to “Glassdoor“, the world-famous for job insights, the national average salary for a data scientist is around $1,17,212/year.
- A statistical report by the “US Bureau of Labor Statistics” states that data science careers will grow significantly by 2030.
Tips To Learn Data Science Quickly?
Learning data science is a lengthy process, so you will need to give significant time to study. Following some simple techniques, you can speed up data science learning a little bit. The techniques are as follows:
- Set your goals about learning data science and keep them in mind always.
- Before learning technical skills, focus on soft skills like differentiation, integrations, linear algebra, etc.
- Make an efficient possible route of learning to develop your data science knowledge.
- Review your learning roadmap monthly and check which level you have to develop more.
- Follow your mentor’s guidelines properly and practice as much as possible you can.
Conclusion
Without a doubt, data science is a difficult subject for anyone to learn. No one can learn science properly, without proper guidelines. Besides, learning data science requires spending a significant amount of time.
After reading the context, you may have figured out: how long does it take to learn data science? Usually, to learn the fundamentals of data science, you will need 6 to 9 months with 6-7 hours of dedicated study.
However, for learning intermediate and advanced levels of data science, the learning duration will increase from months to years.