Data Analytics

Data Analysis Data Collection Exploratory Data Statistical Analysis Actions
Understanding Data Analysis The role of a Data Analyst Types of Data Structured vs. Unstructured
Data Collection Methods Data Quality Integrity Handling Missing Data Excel, Python Pandas
Descriptive Statistics Data Visualization Techniques Identifying Patterns and Trends Matplotlib, Seaborn, Tableau
Introduction to Databases SQL Basics Structured Query Language Database Design Normalization
Creating Charts and Graphs Dashboard Design Tools for Data Visualization Tableau, Power BI, Matplotlib, Seaborn
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Data Analytics

Data Analytics is the rapidly growing areas of Computing. The management of Data Analytics is big business now, and it will continue to grow as long as more new technologies, devices and services give more information from the society.

Students

Objectives