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Data Science In 5 Minutes | Data Science For Beginners | What Is Data Science? | Simplilearn

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This What is Data Science Video will give you an idea of a life of Data Scientist. This Data Science for Beginners video will also explain the steps involved in the Data Science project, roles & salary offered to a Data Scientist. Data Science is basically dealing with unstructured and structured data. Data Science is a field that comprises of everything that is related to data cleansing, preparation, and data analysis.
Below topics are explained in this Data Science tutorial:
00:00 Introduction
00:10 Life of a Data Scientist
Steps in Data Science project
00:21 Understanding the business problem
00:37 Data acquisition
00:51 Data preparation
01:29 Exploratory data analysis
01:52 Data modeling
02:20 Visualization and communication
02:43 Deploy & maintenance
03:11 Roles offered to a Data Scientist
03:53 Salary of a Data Scientist

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Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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โžก๏ธ About Caltech Post Graduate Program In Data Science
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.

โœ… Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
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- Earn up to 14 CEUs from Caltech CTME
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- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearnโ€™s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

โœ… Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

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