What Is Data Modelling | What Is A Data Model | Data Modelling & Analysis For Beginners |Simplilearn

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Learn All About Data Modeling & Data Analysis!
In this comprehensive Data Modelling & Analysis video For Beginners, we'll cover everything you need to know about working with data, What Is Data Modelling? What Is A Data Model? from organizing it through data modeling to understanding what it all means with data analysis techniques.
First, we'll dive into data modeling - the process of structuring and setting up your data so it makes sense. We'll explore different data modeling methods, best data modeling tools, and walk through the entire data modeling process step-by-step, including conceptual modeling, logical data modeling, physical modeling, database implementation and maintenance.
Then we'll switch gears to data analysis. We'll uncover the various data analysis types and techniques for analyzing data to find hidden insights, trends and patterns. Whether you want descriptive analysis to understand past performance, diagnostic analysis to figure out why something happened, predictive analysis to forecast the future, or prescriptive analysis for data-driven recommendations - we've got you covered.
We'll also discuss the crucial role of a data analyst in data modeling, and how data modeling and data analysis skills work together for these in-demand data-related roles. What's the difference between a data analyst, business intelligence analyst, and business analyst? We'll break it all down.
By the end, you'll have a solid understanding of data modeling AND data analysis. This powerful combo will allow you to truly unlock the value in your organization's data assets for smarter, data-driven decision-making.
Below are the topics covered in this Data Modelling & Analysis For Beginners video :-
00:00:04 What Is Data Modelling
00:03:10 What is data modeling
00:04:40 Types of Data models
00:05:44 Data modeling Tools
00:06:13 Data Modeling Process
00:07:50 Understanding Data Analysis
00:08:15 Types of Data Analysis
00:08:48 Role of Data Analyst
00:09:37 Salary of Data Analyst
00:09:59 Comprehensive Study between Data Analysis and Data Modeling
00:10:51 Career Paths in Data Related Roles
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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.
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✅ Skills Covered
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- Linear and logistic regression modules
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