INTRO_DA

INTRODUCTION TO
DATA ANALYTICS

NORADILAH BT ISMAIL
BAHAGIAN INFOSTRUKTUR, PUSAT KOMPUTERAN INFORMATIK

UMK

WHAT IS DATA ?

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Data is a collection of facts, such as
numbers,characters,symbols,images
which can be processed by a
computer

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DATA ANALYTICS is the
process of analyzing the
raw data in order to draw

inferences about the
information

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3 types of data analytics….

▪ Descriptive analytics
▪ Predictive analytics
▪ Prescriptive analytics

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▪ Descriptive analytics is focus on
analyzing historic data for the purpose
of identifying patterns or trends

▪ Example
-Total stock in inventory
-Financial Statement Analysis
-User’s watch history

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▪ Predictive analytics is the use of data
to predict future trends

▪ Example
-Forecasting future cash flow in finance
-Early Detection of Allergic Reactions in
health care
-Weather forecasts

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▪ Prescriptive analytics is the process of
using data to determine an optimal course
of action

▪ Example
- Vacation recommendation
- Set pricing and marketing strategic
- TikTok's "For You" feed

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TYPES OF DATA ANALYTICS

Descriptive Analytics Predictive Analytics Prescriptive
What has happened? What will happen? Analytics

What should we do?

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DATA ANALYTICS IN EDUCATION INDUSTRY

Course Research
recommendation performance

Minimize student
attrition

Career prediction

Student retention Student
performance

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TOPIC RELATED

Method of data analysis MACHINE • Linear Regression
LEARNING • Logistic Regression
Type of AI • Decision Tree
DEEP LEARNING • SVM
Become more accurate • Naïve Bayes
at predicting • KNN
• K-Means
• Random Forest
• Dimensionality Reduction Algorithms
• Gradient Boost & Adaboost

• Neural Network

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Thanks!

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