10 Top data science skills- Want to be a data scientist in 2020?

Data science is the hot profession

Automation and digitization have become the hot topics in the market right now and every interested candidate with the required skill set is vouching for a chance at the profession. With the abundance of the talent out there it is needless to say that many have found success as well.

Data science is the new alpha of the professions. All the major industries are looking for skilled data scientists and offering them quite a heavy payment. Data science has slowly and steadily become a profession that everyone is interested in, but it is not easy at all. Some certain skills are needed to become a data scientist course in pune.

Top 10 data science skills

So if you are interested in becoming a data scientist in the future, then some basic skills are needed to be known or simply you must have them to cut as a professional data scientist. The top 10 skills for a data scientist are listed below:

1.     Statistics and probability

Data science is heavily dependent on mathematical and statistical modeling, hence the knowledge about statistics and probability is very necessary to apply data science skills on the given data sets.

2.    Calculus and algebra

This is again a bye product of the first point. Proficient knowledge about calculus and linear algebra is an absolute necessity for a data scientist as they need it to develop different mathematical models.

This is a basic requirement. The data scientist should be comfortable with different programming languages and even with different data analysis software otherwise, it becomes impossible to progress in this profession.

4.    Data wrangling

The majority of the data provided or collected is in an unstructured format and they need to be changed into a processable format for operating on them. This is a very complex thing to do and the higher the efficiency of the data scientist in performing data wrangling, the higher is the proficiency of the data scientist.

5.    Database management

An important part of a data scientist’s job is to manipulate the databases provided to him or her. So database management is a necessary skill for becoming a professional data scientist.

6.    Visualization

To obtain the relevant information from the given data, the data scientists need to visualize the processed data and then draw a useful conclusion from it. This is very important for forming business plans through data science.

7.     Cloud computing

Cloud computing is a normal thing nowadays and is necessary for a data scientist as they have to frequently access data clouds for the relevant information and more is the frequency of access as the bigger is the company. Hence a data scientist needs to be experienced and comfortable with cloud computing.

8.    Machine learning

Machine learning is the way of the future and data science is an important contributor to developing machine learning programs. Hence a data scientist should have reasonable knowledge about machine learning.

9.    DevOps

It is a combination of if software operations and IT methods that are useful for faster and better data management. Hence, it's an important resource and skill for a data scientist.

10. Excel

Excel is the simplest form of a database and it can be utilized to perform 2D operations on the available data. So as basic it is, excel is one of the most important skills for a data scientist.

Resource Box

If you are interested in data scientist certification as a career then there are numerous opportunities and resources available out there. Just click on the link and you can start walking down the path to becoming a data scientist in the future.

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