Data Scientist vs Software Engineer | Software Engineer vs Data Scientist | Simplilearn

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This video, *Data Scientist vs Software Engineer* is all about the difference between data science and software engineering in the aspects of salary, stages, processing, and career path to becoming a data scientist and software engineer.

✅ 00:00 - Data Scientist vs Software Engineer
✅ 01:16 - What is Data Science?
This phase of the video covers the definition of data science.
✅03:30-Career path to become a Data Scientist
This part of the video covers the subjects needed to become a data scientist.
✅04:20-What is Software Engineering?
This phase of the video covers the .definition of software engineering.
✅05:18-Career path to become a Software Engineer
This phase of the video covers the fields needed to become a Software Engineer.
✅06:30 -Difference between a data scientist and software engineering
This part of the video classifies data scientist and software engineering based on different factors.

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Data scientists operate in many different industries. Each has a distinct role to play in issue-solving and calls for specialist skills. These professions include data preparation, mining, modeling, and model management. Data scientists take raw data and turn it into a wealth of information that provides answers to questions for companies looking for solutions to their problems.

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This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

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✅ Skills Covered
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- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

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