Like many data science aspirants, you might wish to make a lucrative data science career for yourself but are concerned that this process may take too long. The field of data science is vast and complex, but aspirants and students can learn the concepts and fundamentals of data science in one year or even less. This guide will help you learn how to learn data science fundamentals in one year and make a promising career for yourself.
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Why learn data science?
Today almost all companies and organizations require experienced data science professionals to accomplish their tasks and achieve business growth and success. Learning data science will help you to make a career across diverse industries such as web and application development, health and wellness, banking and finance, governmental agencies, manufacturing, transportation, etcetera.
Since the field of data science is vast, therefore, the exact time required to learn data science concepts and fundamentals will depend on the following factors
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Your current knowledge base and skill sets
Data science job role which you want to fulfill
Your knowledge of data science tools and technologies
Based on the above factors mastering all the data science techniques and tools will require an average time of six months to one year. On the other hand, enrolling in a data science certification course program will help you to master all the essential techniques of data science and fundamentals in less than a year and develop comprehensive expertise in handling complex machine learning algorithms and data science tools. Another factor determining the average time for learning data science is the type of training you are undergoing. For instance, if you’re going for self-learning and self-guided education, then it may take longer for you to master the data science field compared to a professional certification course program. On the other hand, data science certification courses and targeted boot camps may require an average time of six months to one year to help a professional become a skilled data scientist.
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How to become a data scientist in a year?
Becoming a skilled data scientist in one year is possible if you have the right skills and a strong educational background in coding and mathematics. Your journey to becoming a data scientist will be easier if you can perform the following functions
Have knowledge about machine learning techniques, NLP methodologies, and deep learning algorithms
Perform exploratory data analysis
Improve the performance of your model and algorithm with the help of statistical approaches
Practicing data science projects across different industries
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How can you become a data scientist without much industry experience?
To become a successful data scientist without industry experience or a formal degree, you need to put in more hard work and be determined. To accomplish all the data science skills and master the field of data science, you need to look for beginner-friendly data science certification courses that will help you acquire hands on experience and give you real exposure to the data science industry. These data science training courses also help you to participate in data science projects and make a solid online portfolio so that you can apply for the position of data scientist at the top MNCS.
How long will it take to master all the data science techniques?
The exact time required for a successful data scientist career will depend on a person’s capabilities, skill sets, and educational background. For example, an individual who comes from the following educational background can quickly become a data scientist within a few months to one year.
Physics
Mathematics
Chemistry
Statistics
Computer science
Information technology
Becoming a data scientist in one year is not at all challenging and complex if you learn from accredited sources and get the proper guidance. Instead of self-learning, you can enroll in popular and proper online courses that will save time and help you quickly grasp all the fundamental data science techniques and practices.
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How can you become a data scientist after completing 12th?
The correct way for becoming a data scientist without a formal degree after the 12th is to start slowly and then gradually climb the ladder. Follow the below-mentioned steps to jumpstart your career.
- Spend time practicing data and problems to strengthen your basic knowledge and focus on understanding advanced mathematical concepts.
- Start reading simple and basic machine learning algorithms which data scientists use. You need to spend a minimum of six months of time duration in learning and grasping the fundamentals of ML algorithms.
- Learn programming languages like Python and fully implement beginner-friendly ML algorithms with Python or R libraries.
- Explore computer vision projects and deep learning algorithms.
- Work on neural language processing techniques and even participate in NLP projects that will help you to improve your expertise.
- Enroll in data science certification course internships and boot camps to kickstart your career in the data science domain and acquire practical experience in the field.
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Skills required to become a good data scientist
Knowledge about linear algebra as well as multivariable calculus
Probability and statistical concepts
Experience in working with programming languages like Python, Scala
Deep learning, machine learning, NLP techniques
Finding the right learning approach is the key to learning data science effectively and quickly within a year. Unfortunately, most data science learners tend to give up midway, thinking learning data science would take a lot of time and will be an expensive learning curve.
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Conclusion
While undergraduate or postgraduate data science courses in universities and colleges typically take around two to three years, you can also become a data scientist in one year by dedicating six to seven years of studies every day by enrolling in accredited data science certification course programs. These boot camps and course programs will make you job ready within a few weeks or months. The data science course curriculum provides you with a solid road map to learn all the fundamental aspects of data science quickly. To become a data scientist and get a good job, you must acquire robust Python programming, statistics, and linear algebra knowledge. During the course curriculum, you learn about machine learning theories and how to apply the algorithms in actual-world applications. As you become well-trained and certified after the completion of the course program, you can quickly collect, convert, and process business data and provide them with accurate predictions.
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099899 94319
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