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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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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