Data Science Career Path
Interested in pursuing a data science career? Here's what you need to know!
Data science is a lucrative career pathway with its ever-growing applications spread over various domains in today’s world. Keep reading to learn more about this exciting field!
One of the core reasons for the success of AI is its ability to replicate human actions in a far more effective manner. This eliminates the possibility of errors that may be committed otherwise.
It is difficult to clearly demarcate the difference between AI (Artificial Intelligence), ML(Machine Learning), DL (Deep Learning) and Data Science because these fields are very inter-linked. However, based on their applications and job-roles in the current industry the following classification has been made:
Data Science- Encompasses all the other areas and can be viewed as the “super-set”.
Artificial Intelligence- Covers areas of ML, DL, and sensor dynamics.
Machine learning- Is concerned with classical modelling and DL. It is used to generate algorithms that are capable of replicating a process with greater efficiency.
Deep Learning- Deals primarily with deep neural networks.
As a beginner, these are a few basic steps to get started with your venture into the world of Data Science. The key is to take one step at a time and to be consistent with your efforts in order to make steady progress and not get quickly overwhelmed by the enormity of the content and resources available.
This is a summarized table-view of all the necessary tools and skills that you must equip yourself with when you’re pursuing data science as a serious potential career.
𝗟𝗶𝗸𝗲, 𝗦𝗵𝗮𝗿𝗲, 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲
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