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Hottest Data Science Skills That You Need To Master In 2021
Data Science involves a multi-faceted approach to interpret and extract insights from large sets of structured and unstructured data formats. This multi-faceted approach involves both theoretical research and practical applications for the study of data. Data Science has nowadays become a crucial component of enterprises business development process. By subjecting business or customer data to analytics process in Data Science, enterprises are now in a position to make better business decisions that can impact their business to scale and grow.
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Now, let’s look at some of the most advanced Data Science skills that you need to master in 2021 to become industry-ready Data Scientist.
- Deep Learning
Deep Learning is one of the advanced concepts in the field of Artificial Intelligence and is a subset to Machine Learning. The rapid advancements in Deep Learning have made it possible to develop innovative techniques like Image Recognition, Text Analytics, NLP, etc. If you are interested in becoming an all-round professional in Data Science then mastering the skills in Deep Learning becomes crucial.
- AutoML
As most of you are clearly aware of the fact that that the resources that are available to Data Scientists are very limited and so they need to better optimize their resources which are short supply. With AutoML, Data Scientists can automate most of their monotonous tasks. This automation would help them to set their complete focus on performing more crucial tasks.
- Data Visualization
Data Visualization is one of the crucial skill sets in the inventory of a Data Scientist. Data Visualization becomes very crucial when it comes to explaining the findings from Big Data. Skills in handling the latest Data Visualization tools like Tableau would be very crucial in this regard.
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