4 Traits You Must Have to Become a Successful Data Science Professional

We live in a world of growing technology, especially when it comes to data generation and management. Since we have access to advanced technology and hardware for data storage, we can now tap into the growing reservoir of user-generated data and use it to derive business-critical insights.

In other words, it is not wrong to say that we live in an age where data-driven decisions have become a norm and are fuelling future-ready businesses.

The increasing data requirements, in turn, has raised the demand for skilled data science professionals across industries.

Whether its IoT (Internet of Things), machine learning, deep learning, or data analysis – organizations are in a continuous need to hire talent that has an industry-specific skillset. Let us take a look at the key traits or skills that you must develop to become a successful data science professional:

  1. Statistical Programming

Many years ago, the most popular and used statistical software suite was SAS. However, with the increase in technology, being proficient in SAS isn’t enough. Prominent brands across industries are looking for candidates who are conversant with more than one software suites and languages for statistical analysis of data, including:

  • SAS (Statistical Analysis System)
  • R
  • Python

Statistics is a combination of the analysis, collection, interpretation, organization, and presentation of data. It is not surprising that data scientists should be proficient in the statistical analysis of unstructured data. If you can adapt to the growing changes in technology and learn new languages for statistical programming, it will surely help boost your proficiency as a data scientist.

  1. Machine Learning

Budding data scientists who want to have an opportunity in data analytics need to have a thorough understanding of:

  • Neural Networks
  • Reinforcement Learning
  • Adversarial Learning

Moreover, you need to be proficient in different Machine learning techniques, including:

  • Supervised Machine Learning
  • Decision Trees
  • Logistic Regression

Data science involves working with large data sets and being familiar with machine learning can help you derive data-driven predictions and develop actionable business insights.

  1. Unstructured data

As a Data Scientist, you must have exposure to unstructured data and various techniques to handle it. Unstructured data are unrefined content that does not fit into database tables. Such data includes videos, blog posts, customer reviews, social media posts, video feeds, and audio. They are substantial texts lumped together. Sorting these types of data can be a challenging task, as they are not streamlined.

‘Dark analytics’ is a term given to unstructured data because of its complex nature. However, working with unstructured data helps you unravel insights that can be of use while making decisions. As a data scientist, you need to develop the ability and the right skills to understand and manipulate unstructured data from different platforms and bring them to a favorable space.

  1. Communication Skills

If you want to be a distinguished data scientist, having excellent communication skills will help you a lot. If you can clearly and fluently present analytical solutions, translate the statistical output into actionable recommendations to the non-technical team, such as the marketing or sales departments, then my friend, you are up for grabs.

Give Wings to Your Dreams of Having a Thriving Career

Organizations are looking for skilled data scientists that can help their firm reach greater heights by improving their business strategies. To be a competent data scientist, you need to learn new skills and develop industry-specific traits.

You need to develop the ability to increase your employability by getting certified in machine learning. Data Science online courses from reputable institutions such as Jigsaw Academy help you to acquire the desired technical analytics skills in artificial intelligence, deep learning, and machine learning.

Moreover, if you pursue an online course in data science,  you will be able to solve non-standard problems through statistical software and intuitive machine learning algorithms tools. Enhance your skillset and enjoy a fruitful career!

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