Data Analyst Vs Data Scientist Vs Data Engineer In 2022 | Role, Skills, And Salary | Simplilearn

Описание к видео Data Analyst Vs Data Scientist Vs Data Engineer In 2022 | Role, Skills, And Salary | Simplilearn

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In this video, we will decode the basic differences between data scientists, data analysts and data engineers, based on the roles and responsibilities, skillsets required, salary, and the companies hiring them. Although all these three professions belong to the Data Science industry and deal with data, there are some differences that separate them. Every person who is aspiring to be a data professional needs to understand these three career options to select the right one form themselves.

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What is Data Science?
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models. The data used for analysis can be from multiple sources and present in various formats.

Why Data Science?
Data science or data-driven science enables better decision-making, predictive analysis, and pattern discovery. It lets you:
✅Find the leading cause of a problem by asking the right questions
✅Perform exploratory study on the data
✅Model the data using various algorithms

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This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
Post Graduate Program certificate and Alumni Association membership
Exclusive hackathons and Ask me Anything sessions by IBM
8X higher live interaction in live online classes by industry experts
Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
Master Classes delivered by Purdue faculty and IBM experts
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Resume preparation and LinkedIn profile building
1:1 mock interview
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✅ Skills Covered
Data Analytics
Statistical Analysis using Excel
Data Analysis Python and R
Data Visualization Tableau and Power BI
Linear and logistic regression modules
Clustering using kmeans
Supervised Learning

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