Data Analytics

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Description :

1.Introduction to Data Analytics
What is Data Analytics?
Importance of Data Analytics

2.Data Types in Data Analytics
Structured Data
Unstructured Data
Semi-Structured Data

3.Data Preprocessing
Data Cleaning
Data Transformation
Data Reduction
Data Discretization

4.Exploratory Data Analysis (EDA)
Descriptive Statistics
Data Visualization
Correlation Analysis
Outlier Detection

5.Data Modelling
Introduction to Models
Types of Models (Classification, Clustering)
Model Evaluation

6.Introduction to Machine Learning
Basics of Machine Learning
Supervised Learning
Unsupervised Learning
Model Selection

7.Data Visualization Tools
Introduction to Tools (Excel, Tableau, Power BI)
Creating Charts and Graphs
Interactive Dashboards

8.Data Analytics in Business
Business Intelligence
Key Performance Indicators (KPIs)
Data-Driven Decision Making

9.Big Data Analytics
Introduction to Big Data
Challenges of Big Data
Big Data Technologies (Hadoop, Spark)

10.Case Studies in Data Analytics
Real-world Applications
Success Stories
Lessons Learn

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