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
➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

✅ Key Features
Simplilearn's JobAssist helps you get noticed by top hiring companies
Industry-recognized Data Analyst Master’s certificate from Simplilearn
Dedicated live sessions by faculty of industry experts
Masterclasses from IBM experts
Industry-recognized IBM certifications for IBM courses
Ask-Me-Anything (AMA) sessions with IBM leadership
Capstone from 3 domains and 20+ projects
Exclusive hackathons conducted by IBM
Lifetime access to self-paced learning content
Program crafted to initiate your journey as a Data Analyst

✅ Skills Covered
Data Analytics
Statistical Analysis using Excel
Data Analysis using Python and R
Data Visualization Tableau and Power BI
Linear and logistic regression modules
Clustering using KMeans
Supervised Learning
Unsupervised Learning



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