Though we have faced various wax and wane in technologies, data science is an ever-growing scientific field that is widening up the IT sectors. Due to this incremental progress, the demand for data scientists is increasing exponentially. So, freshers, who seek to begin their career in the data science field, there are multiple opportunities for beginners to pursue. This field is an enticing career path for freshers and professionals. According to the survey, it is stated that there are more than 7000+ job vacancies unfilled, and many giant IT companies seek a candidate with the skills of a data scientist. In this blog, we shall discuss the skills required for a data scientist.
It includes people who aren’t data scientists but are intrigued with data and leads them to speculate what big data and data science abilities are required to seek careers in the field.
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Why data science skills required
The market for data scientists at the corporate level across all industries worldwide has been fueled by leveraging Big Data as an insight-generating engine. Organizations constantly rely on data scientists’ abilities to maintain, develop, and remain one step ahead of the competition, whether to enhance customer loyalty, simplify the product development cycle, or mine data to identify new business prospects. Additionally, this blog will examine the technical and non-technical data scientist skills required.
What are the skills required for data scientist?
If you intend to become a data scientist, you need to have skills- the skills such as:
- Non-technical skills
- If you are freshers intrigued about beginning a career path in data science, this blog will lead you to the lucrative, exciting, and growing industry.
- If you are a working professional, you need to have a data scientist skill set to guide your entire team for the organization’s productivity effectively.
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Technical Skills Required to Become a Data Scientist
Many data scientists might have master’s degrees or PhDs in engineering, computer science, and statics. So, students who are taking IT-related courses or have completed the educational backgrounds that we mentioned and are interested in the data science field have no hindrances. So, students who want to head into the data science field must have data scientist and Big Data skills.
Moreover, students intend to take data science courses that help them deeply understand data scientist technical skills and non-technical skills, qualifying them to become professionals.
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Now, we shall look at the technical skills required to become a data scientist.
Technical skills required for a data scientist
Skill #1 Programming language skills
If you want to become a data scientist, you must be proficient in any one programming language, so if you are freshers, you can learn any programming language like Java, Python, Perl, C/C++, and SQL. By learning one of these courses, Data scientists can arrange unstructured data sources using these computer languages.
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Skill #2- Knowledge Analytical Tools and SAS
Secondly, understanding analytical data tools would help you become a skilled professional. The powerful data analytical tools like Python, R, SAS, Excel, Power BI, Tableau, Apache Spark, Microsoft Excel, RapidMiner, KNIME, QlikView, etc., are the skills required for the data scientist.
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Skill #3- Adept at Working with Unstructured Data
Data scientists should be able to work with unstructured data.
For example, a data scientist involved with the project to support the marketing team’s need for insightful research should be skilled in managing social media. Few other skills required to become a data scientist are:
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Non-Technical skills required for data scientist
As we have discussed a few essential technical skills, it is also vital to understand non-technical skills in-depth. These are personal skills and might be challenging to evaluate by looking at academic background, credentials, etc. They consist of:
Skill #1- Excellent Business Skills
As a data scientist, you might face difficulties recognizing the problems and challenges that need to be solved for an organization’s growth. So, having significant organizational skills will help find a new solution to business development.
Skill #2 -Communication Skills
The next significant skill required for data scientists is communication. So, as a data scientist, you will be responsible for evaluating, analyzing, comprehending, and interpreting data. So, to be a successful data scientist. It would be best if you communicated well for the organization’s growth.
Skill #3 – Outstanding Data Interpretation
One of the essential non-technical data scientist skills is probably this large data sets may not necessarily provide valuable data insights; a skilled data scientist possesses insight and knows when to probe further for helpful data insights. This increases the productivity of data scientists, and it can be learned with practice. But experience is necessary to develop this data scientist skill, and boot camps can also help you upskill.
Now, you would have understood the skills required for a data scientist and technical skills for data science. So, if freshers are intrigued to learn data science courses, join FITA Academy and understand the core concepts of data science such as deep learning and machine learning. Visual representation of data, data analysis, etc.