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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

Python 3 Essential Training

Delve deep into the world of Python 3 with our comprehensive training. Begin your journey by understanding the major Python data types such as List, Tuple, Dictionary, and Set. Grasp the core concepts of conditionals, loops, and sequence generation through comprehensions and generators. Elevate your coding prowess with advanced topics like functions, lambda expressions, and the practical use of map and filter. Explore the power of Python's modules, third-party package installations, and its rich object-oriented programming paradigm using classes and inheritance.

Beyond just coding, our training empowers you to interact with databases efficiently and perform seamless file input and output operations. The course also equips you with robust error-handling techniques using exceptions. But that's not all! Get introduced to the world of data analysis and visualization with foundational insights into renowned Python libraries: Numpy, Matplotlib, and Pandas. By the end of this course, you'll be well-versed in Python 3, ready to undertake any coding challenge or project with confidence.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M296

Course Booking

MYR2,000.00

Course Date

Course Time

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Day 1

Topic 1 Get Started with Python

  • Overview
  • Install Python
  • First Python Script
  • Comment

Topic 2 Data Types

  • Number 
  • String 
  • List
  • Tuple
  • Dictionary
  • Set

Topic 3 Operators

  • Arithmetic Operators
  • Compound Operators
  • Comparison Operators
  • Membership Operators
  • Logical Operators
  • Identity Operators

Topic 4 Control Structure

  • Conditional
  • Loop
  • Iterating Over Multiple Sequences
  • Break & Continue
  • Loop with Else

Topic 5 Function

  • Function Syntax
  • Return Single Value
  • Return Multiple Values
  • Passing Arguments
  • Default Arguments
  • Variable Arguments
  • Lambda, Map, Filter

Topic 6 Modules & Packages

  • Modules
  • Packages
  • Python Standard Libraries
  • Install Third Party Packages
  • Anaconda Packages

Day 2

Topic 7 Comprehensions & Generators

  • Comprehension Syntax
  • Types of Comprehension
  • Generator Syntax
  • Types of Generators

Topic 8 File and Directory Handling

  • Write to a file
  • Read from a file

Topic 9 Object Oriented Programming

  • Introduction to Object Oriented Programming
  • Create Class and Objects
  • Method
  • Initializer & Destructor
  • Inheritance
  • Polymorphism

Topic 10 Database

  • Setup SQLite3 database
  • Apply CRUD operations on SQLite3

Topic 11 Error Handling Using Exception

  • Exceptions versus Syntax Errors
  • Handle Exceptions with Try and Except blocks
  • The Else clause
  • Clean up with Finally

Course Info

Prerequisite

This course is for beginner. No programming or coding knowledge is required. All the programming and coding concepts will be introduced during the class. 

Software Requirement

Pls download and install the following software prior to the class

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8-     Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

9-     Select your Immediate Officer and click Next

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11-  Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12-  If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

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25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26-  Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

Job Roles

  • Aspiring Software Developer
  • Data Analyst
  • Web Developer
  • Automation Engineer
  • Data Scientist
  • System Administrator
  • Bioinformatics Specialist
  • Research Scientist
  • Finance Professional
  • Machine Learning Enthusiast
  • GIS (Geographic Information System) Specialist
  • IT Consultant
  • Network Engineer
  • Database Administrator
  • Tech Entrepreneur.

Trainers

Saeid Alizadeh: Saeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid’s past experience on IoT application include:

  1. Smart Building System
  2. Energy Monitoring, Controlling and Saving
  3. Environmental Monitoring 
  4. Flood detection and prediction system based on IoT and big data 
  5. Online Weather Station Based on IoT
  6. Smart Farming System (Long Range Wireless Sensor Networks)
  7. Smart Hydroponic System Based on IoT
  8. IP TV and Digital Signage System
  9. RFID Solution 
  10. GPS Tracking System
  11. Remote Sensing

Ghazaleh Babanejad: Ghazaleh Babanejad has received her Ph.D from University Putra Malaysia in Faculty of Computer ‎Science and Information Technology. She is working on recommender systems in the ‎ the field of skyline queries over Dynamic and Incomplete databases for her Ph.D. thesis. She is also working ‎on the Data Science field as a trainer and Data Scientist. She worked on Machine Learning and Process ‎ Mining projects. She also has several international certificates in Practical Machine Learning (John ‎ Hopkins University) Mining Massive Datasets (Stanford University), Process Mining (Eindhoven ‎ University), Hadoop (University of San Diego), MongoDB for DBAs (MongoDB Inc) and some other ‎ certificates. She has more than 5 years of experience as a lecturer and database administrator.

Saeed: Saeed has Master qualification in Information Security and Bachelor degree in Software Engineer. He has more than 16 years of engagement in Information Technology in various IT disciplinary, such as database, designing, programming, networking and system administrating. To name a few of his working experience: IT Lecturer, Network Engineer, System Administrator, Project Manager, IT Director etc. He is a publisher of several scientific articles. He holds the following certification:

  1. CCNP and CCNA in Routing and Switching
  2. MCSE: Cloud and Infrastructure
  3. MCSA: Windows Server 2012

His current training focus is in:

  1. Programming: C#, Java, Python, ASP.Net, Android and iOS
  2. Networking: CCNA and CCNP R&S

His current career focus is in:

  1. Software Define Network
  2. Internet of Things: Smart City, Smart Home and Environmental Sensors

Milad: Milad is a Microsoft certified in SQL and currently working as Senior Software Engineer in Xchanging Malaysia, a DXC-YTL Joint Venture. He has 8+ years of comprehensive experience in software development using ASP.NET MVC, SQL, JavaScript, and JQuery. In addition, 3+ years of experience in data processing, visualization, and analytics. He is expert in Power BI, Qlikview, Relational databases like SQL and MYSQL, SQL Server Integration Service (SSIS), Machine Learning and prediction using Python and Anaconda, Python, ASP.NET and JavaScript.

Nouar AlDahoul: Nouar AlDahoul is a PhD candidate in IIUM Malaysia. She is an AI researcher and developer. She has +6 years of hands-on experience in the machine learning field including deep and reinforcement learning. She has been working as a research assistant in different research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and conferences. Her research interests are: Deep learning, Reinforcement learning, computer vision, Data visualization, Data analysis and embedded system.

Customer Reviews (87)

might ecommend Review by Course Participant/Trainee
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Giving more exercises per each learning elements and pause check with learners whether they are ok to proceed next. (Posted on 07/11/2023)
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. (Posted on 04/11/2023)
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. (Posted on 04/11/2023)
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. (Posted on 04/11/2023)
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More days for training and recording given on spot after the class finish (Posted on 28/10/2023)
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, (Posted on 04/07/2023)
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. (Posted on 26/06/2023)
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. (Posted on 02/11/2022)
will recommend Review by Course Participant/Trainee
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Add in more details and examples (Posted on 26/03/2022)
He is a good tutor. Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
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3. How do you find the training environment
Two (2) days is not enough for me. May require around 3 to 4 days. I enjoyed the last session with extracting data from excel, my data, then analysing it. He is a good tutor. (Posted on 25/12/2021)
The tutor explained well and detail. Good job. Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The first day I was inundated with definitions of the function. It is essential but needs more hours to digest. Definitions would require two days for beginners like me. (Posted on 25/12/2021)
Awesome course Review by Course Participant/Trainee
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Excellent trainer with a limitless patience. (Posted on 30/11/2021)
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3. How do you find the training environment
. (Posted on 29/11/2021)
will recommend Review by Course Participant/Trainee
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Slide materials should guide the participants briefly (Posted on 24/11/2021)
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3. How do you find the training environment
. (Posted on 07/08/2021)
will recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 06/08/2021)
will recommend Review by Course Participant/Trainee
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3. How do you find the training environment
. (Posted on 17/07/2021)
will recommend Review by Course Participant/Trainee
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. (Posted on 17/04/2021)
will recommend Review by Course Participant/Trainee
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3. How do you find the training environment
. (Posted on 22/03/2021)
might recommend Review by Course Participant/Trainee
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3. How do you find the training environment
Too Short period for beginner with lot of topic to cover
Can be improve for next course (Posted on 21/03/2021)

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