ONLINE
DATA ANALYSIS
USING PYTHON
- Beginner Class
DATE
: 7-8 OCTOBER 2021 (THU-FRI)
TIME
: 9.00AM - 5.00PM
FEE*
Early Bird Offer
RM
900
Special Offer
RM
1000
Normal Fee
RM
1100
(before 20 Sept 2021)
(before 3 Oct 2021)
Fee includes Course Notes & Certificate of Completion and 6% Government Service Tax
Unprecedented explosion of data is impacting
many areas of business, science, engineering, and
industry. From analysing market trend to modelling
traffic patterns of online customers, the enormous
data is creating new opportunities and challenges
in many areas of our environment.
To handle these challenges, one must be trained to
store, clean, manage, process and analyse data.
Python is one of the most important and popular
programming language in data analytics to
perform these tasks supported by vast libraries,
tools and support communities.
WHO SHOULD ATTEND
Those who plan to embark on data analysis including
COURSE OBJECTIVES
The main goal of this course is to help participants learn
and understand basic data analytics using Python
Programming Language. Participants will be able to
setup Python development environment and utilise
Python programming tools including conditional flows,
loops and functions. Participants will also be able to
understand the basic functions of popular data analytics
modules such as Numpy, Pandas and Matplotlib.
PREREQUISITE
Note: Basic knowledge in any programming language
is a plus but not necessary.
Laptop with standard specification and i3 & above is
acceptable.
Anaconda will be installed prior to training.
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3ntity
Bhd
Sdn
2018
Bhd- 2019
2021
COURSE OUTLINE
SPEAKER PROFILE
DAY 1
Installation and Setup
• Installation of Anaconda
• Introduction to Python Development Environment
• Python Interpreter
Introduction to Python Programming I
• Variables
• Data Types
• Operators
• Python Statements
• Conditional Flow
• Functions
Introduction to Python Programming II
• Python Class & Object Oriented
• Python Modules
DAY 2
Introduction to NUMPY
• Numpy Array
• Data Types
• Basic Functions in Numpy
Introduction to PANDAS
• Pandas Dataframes and Series
• Importing data to Pandas
• Exploring Data Frame
• Data Frame Data Types
• Data Frame Filtering & Slicing
Introduction to Matplotlib
• Plotting with Matplotlib
• Parameters and usage guides.
Introduction to Machine Learning
• Introduction to Linear Regression
TAN SU TUNG
Python Data Analytics Trainer
Certified HRDF Trainer
ST Tan has been deeply involved in dala analytics
primarily in the areas of:
• Creation of Virtual Human Anatomical models via CT &
MRI DICOM data.
• Big Data Implementation in Operating Theater
solutions.
• Design and fabrication of customized implants for
cranioplasty surgery.
• Design and fabrication of surgical human anatomical
Biomodels for surgical training.
• Design of Biomodels using CT & MRI image fusion.
• Design of Digital Operating Theater software solutions.
• Linux based software architecture, design &
development.
• Web based application development and Real Time
Communications.
He holds a Master in Science in Information Technology
from Malaysia University of Science and Technology. He
is currently the Chief Technical Officer of a
university-owned subsidiary specializing in areas of data
analysis. His research works have been published
extensively including in the areas biomedical
engineering, neuro navigation, 3D rapid prototyping and
image processing.
His current research has generated successes in the areas
of Search Engine Spam/ Link Spam after successfully
manipulating search engines’ ranking algorithm
including HITS (Hypertext Induced Topic Distillation) and
Google’s PageRank using Tightly-Knit Community (TKC)
effect.
As a Python Data Analytics Trainer, he has successfully
trained professionals, lecturers, trainers, students from
both the Commercial and Academic sectors, including
one of the largest banks in Malaysia.
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3ntity Sdn
3ntity
Bhd
Sdn
2018
Bhd- 2019
2021
REGISTRATION FORM
ONLINE COURSE: DATA ANALYSIS USING PYTHON – BEGINNER CLASS
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Billing Details
TERMS & CONDITIONS
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Sponsored by: FAV365
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3ntity Sdn
3ntity
Bhd
Sdn
2018
Bhd- 2019
2021