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Is data science for freshers?

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Data science is a great career path to take. There is an opportunity for growth, especially with the demand and lucrative pay. Many benefits are associated with the field, so many people are considering making a career here. Many companies today need data scientists to bring in the most valuable insights from data for decision-making. 

Data Science

Data science focuses on getting knowledge from data using different procedures, algorithms, and scientific techniques. With data science, business issues can be converted into projects aimed at finding solutions. One of the questions people ask is whether data science is a good option for freshers. 

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Freshers in data science

For a fresher, one of the most challenging things is getting the first job in data science or any field. You can become a data scientist as a fresher. All that is needed is to learn all the skills and tricks needed to succeed in the field. You should find ways to grow and keep in step with other people. You can consider the following ways to get started:

  • Information technology, statistics, or computer science degrees: These programs can help a fresher get started in data science. It is also important for the individual to enroll in database management and project management classes. Freshers can also consider getting counselors’ career guidance to achieve their goals. 
  • Get into internship programs: We noted that getting the first gig is one of the hardest things for a fresher. To remedy this, you can consider working as an intern in a good company. This is your chance to be exposed and learn skills related to the job. Because of the demand for data science, there are many internship opportunities. This is the best way to gain valuable experience and build your resume. In addition, online courses and boot camps are an excellent path to learning more concepts and skills. 
  • Certification and master’s degree: getting certified or getting a master’s degree exposes you to even more chances for shaping your career. Many companies give chances to candidates with the most innovative ideas, passion, and diverse knowledge regarding their careers. Taking such courses to get certified exposes you to so many things, like software that is career specific. 

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In tech, we have data all around us. However, the tricky part is determining the information with the most value. This is why we need data scientists to extract insights. The professionals are called data analysts. The work of a data analyst is to process company, customer, and product goals to help refine the decision-making process. Whether you are a fresher or a senior in data science, you will always have to handle data. 

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Data analyst jobs for freshers

Getting an entry-level job in data science is much easier if your GPA is good and you have a data science bachelor’s degree. Getting in should be easy if you have no data science specialization but a degree in statistics, economics, and mathematics. 

You would be better positioned as a fresher with a bachelor’s degree. However, you have more advantages if you have a master’s degree. If you have some technical background, you can become a fresher in business support analysis, statistical assistant, or operations analyst. 

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Skills that freshers need for data science

  • Microsoft Excel basic knowledge: this is one of the things you should know. You should be capable of categorizing data and calculating numbers, as this is a significant data science task. 
  • Statistics knowledge: you should have a good grasp of statistics and distribution. These are very important things in data analysis and can assist you in having a good grip on inferential and descriptive statistics, experimental statistical designs, binomials, and so on. 
  • Mathematical skills: a fresher needs math skills to help communicate with the numbers. Data scientists need to translate problems using mathematical expressions. At the entry-level, a fresher needs to understand types of functions and algebraic expressions and be capable of handling multivariable calculus. 
  • Machine learning skills: a fresher has to be familiar with machine learning which depends on multivariable calculus and linear algebra. As such, data professionals can make precise predictions. In addition, the three machine learning types need to be learned. These are:
  1. Reinforcement learning
  2. Unsupervised
  3. Supervised
  • Good grasp of programming languages: We cannot overlook programming in data science. Data science needs to be capable of using programming to interpret data. Therefore, a fresher should have skills in one or more programming languages. These include R, Python, SQL, Java, C++, and PHP. 
  • Analytical skills: freshers need to handle figures, facts, and numbers. Analytical skills are needed to do the analysis correctly and reach conclusions. 
  • Communication skills: once the analysis has been made, the findings must be communicated to the nontechnical staff and the stakeholders. Communicating and conveying findings in a way others can understand is essential. This means representing findings well using visualization tools, writing, and verbal communication. 
  • Attention to detail: for a fresher to have potential and opportunity for growth in data science, they should be attentive to detail. This involves making reports precisely and ensuring the analysis is done correctly for correct conclusions. 

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Job opportunities for freshers in data science

  • Operation Scientist: these are hired in big companies. The role covers product distribution and manufacturing, restructuring operations, and handling in-house reporting systems. 
  • Quantitative Scientist: the role here is marker statistic study and developing analytical software and quantitative models. A fresher would need to work with mathematical professionals to maximize profits and improve protocols in trading. 
  • IT System Analyst: a fresher under this category must handle new system designs to ensure a competitive edge. Third-party tools may be used to test software.
  • Healthcare Data Analyst: a data scientist fresher can be handled in the healthcare industry to find lasting solutions to issues in this area. There has been a demand for skilled data scientists in health to help handle the data loads. 
  • Data Scientist Consultant: a fresher at this level offers the best company insights. In addition, such professionals can work for more companies remotely. 

Also, check this best data science course institute in Bangalore to start a career in Data Science.


Data science as a field is experiencing fast growth, and there are so many job opportunities available. Skills need to be perfected, which happens over time. It is possible to start as fresher and grow in the ranks. Getting in is not always easy, but an internship in the right company can boost your career. 

Data Science Placement Success Story

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