Description:
Data Analytics course is designed to provide students with the knowledge and skills required for analyzing large sets of
data to uncover patterns, make predictions, and derive meaningful insights. This course covers various techniques and
tools used in data analytics, including data visualization, statistical analysis, and data mining. Students will learn
how to apply these techniques to real-world datasets and solve complex business problems.
Key Highlights:
- Introduction to data analytics and its applications
- Understanding the principles and techniques of data visualization
- Exploring statistical analysis methods
- Learning data mining techniques to extract valuable information
- Applying data analytics techniques to solve business problems
What you will learn:
- Data Analysis Fundamentals:
This module will cover the basics of data analysis, including data types, data cleaning, and data quality assessment.
- Exploratory Data Analysis:
In this module, you will learn how to explore and visualize data using various statistical techniques and tools.
- Statistical Analysis:
This module will focus on statistical concepts and techniques used in data analysis, such as hypothesis testing, regression analysis, and ANOVA.
- Data Mining:
You will learn different data mining techniques, including classification, clustering, and association rule mining.
- Data Visualization:
This module will cover various visualization techniques and tools used for representing data in meaningful ways.
After successful purchase, this item would be added to your Library.
You can access the library in the following ways :
- From Computer, you can access your library after successful login
- For other devices, you can access your library using this web app through browser of your device.
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