Introduction
What is Data Analytics
Ø Data
Analytics is the process of analyzing raw data so that we can be able to pull
insights which are useful to companies. These insights are important to drive
smart business decisions. It is a kind of business intelligence used to solve
problems and challenges that every company is facing.
Analytics is the process of analyzing raw data so that we can be able to pull
insights which are useful to companies. These insights are important to drive
smart business decisions. It is a kind of business intelligence used to solve
problems and challenges that every company is facing.
Steps
for Data Analytics
Define
the question you need to answer-why are you conducting the analysis, the type of data that you will
need.
the question you need to answer-why are you conducting the analysis, the type of data that you will
need.
Ø Data
Collection
Collection
Ø Data
Cleaning
Cleaning
Ø Analyze
the Data
the Data
Ø Interpret
and share the results
and share the results
Class Sessions
1- Introduction to Data Analytics
2- What is Data Science
3- Overview
4- Data preprocessing
5- Data Quality Assessment and Use Case
6- Where does Data come from?
7- Who handles th Data
8- BUSINESS INTELLIGENCE
9- Traditional Methods
10- Traditional Forecasting uses
11- Content
12- Machine Learning Uses
13- Introduction to Large Language Model and Generative AI
14- Data protection
15- Data Management practises
16- Tools and Frameworks