Data Analytics: If a client needs specific data from a particular source, a data engineer can query and retrieve the necessary information. However, this raw data might be difficult for the client to understand. That’s where data engineers can use tools like Power BI to visualize the data and make it more comprehensible. 📊
Data Science: This role focuses on AI and machine learning, which are different categories altogether. 🤖
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10 Replies to “Data Analytics vs. Data Science (Tamil) | career growth”
That akka voice is like a crying baby 😅
Bro machine language vs Data analysists which is the best sollu ga please 😢😢😢….
Always go with java,python,fullstack,or any other coding don't go reporting tools like(power bi,tableau….like) because these skill heavy competition no long term scope and project duration also less than 3 months many time possible to loos job and less salary even you wont get interview call
Good
Fresher lady peela
😅😅😅😅😅
Analyst – Data analyst do segregation of data based on customer needs, what is the current trends happening, business analysis, market analysis.
Data scientist –
Any new technology can be invented in data or what are the future scopes.
Fresher dont come to ai or data science field. Go to full stack
Akka don't know much about the technology. She is just using jargans
Bro fresher ku data analyst or science la job kedaikumaaa
Bro fresher can choose which role and start data analysts or data science or data engineer 😢