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5 Days Python Programming Specialization

5 Days Python Programming Specialization

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Step into the world of programming with our 5 Days Python Programming Specialization course. This course is crafted for those aspiring to master Python, one of the most versatile and in-demand programming languages in the tech industry. Over the course of five days, you will be immersed in an intensive learning experience, covering the fundamentals of Python, from basic syntax and control structures to complex functions and modules. Our curriculum is designed to build a solid foundation, whether you're a beginner or looking to refine your skills.

In this specialization, you will explore the practical applications of Python in various domains such as data analysis, web development, and automation. The course highlights include hands-on projects and real-world scenarios that will equip you with the skills needed to solve complex problems efficiently. By the end of this course, you will not only understand the core concepts of Python programming but also be able to apply them in creating robust and scalable applications. This is more than just a programming course; it's a gateway to advancing your career in tech, preparing you to tackle challenges and seize opportunities in the fast-evolving digital landscape.

Certificate

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

Funding and Grant

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M1250

Course Booking

MYR5,000.00

Training Mode *

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Emails for Notification

Additional Message or Emails for Course Notification

* 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: Python Fundamental

Topic 1.1 Get Started on Python

Overview of Python
Install Python
Install Python IDE
Code Your First Python Script
Comment

Topic 1.2: Data Types

Number
String
List
Tuple
Dictionary
Set

Topic 1.3 Operators

Arithmetic Operators
Compound Operators
Comparison Operators
Membership Operators
Logical Operators

Topic 1.4 Control Structure, Loop and Comprehension

Conditional
Loop
Iterating Over Multiple Sequences
Comprehension

Topic 1.5 Function

Function Syntax
Return Values
Default Arguments
Variable Arguments
Lambda, Map, Filter

Topic 1.6 Modules & Packages

Import Modules and Packages
Python Standard Packages
Third Party Packages

Day 2
Topic 2: Python Intermediate

Topic 2.1 Comprehensions & Generators

Comprehension Syntax
Types of Comprehension
Generator Syntax
Types of Generators

Topic 2.2 File and Directory Handling

Read and Write Data to Files
Manage File and Folders with Python OS Module
Manage Paths with Python Pathlib Module

Topic 2.3 Object Oriented Programming

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

Topic 2.4 Database

Setup SQLite3 Database
Apply CRUD Operations on SQLite3
Integration to External Databases

Topic 2.5 Error Handling Using Exception

Exceptions versus Syntax Errors
Handle Exceptions with Try and Except Blocks
The Else Clause
Clean Up with Finally

Day 3
Topic 3: Python Data Analytics and Visualization

Topic 3.1 Data Preparation

Data Analytics with Pandas
Pandas DataFrame and Series
Import and Export Data
Filter and Slice Data
Clean Data

Topic 3.2 Data Transformation

Join Data
Transform Data
Aggregate Data

Topic 3.3 Data Visualization

Data Visualization with Matplotlib and Seaborn
Visualize Statistical Relationships with Scatter Plot
Visualize Categorical Data with Bar Plot
Visualize Correlation with Pair Plot and Heatmap
Visualize Linear Relationships with Regression

Topic 3.4 Data Analysis

Statistical Data Analysis
Time Series Analysis

Topic 3.5 Advanced Data Analytics

Data Piping
Groupby and Apply Custom Functions
Linear Regression

Topic 1 Descriptive Statistics

Mean & Medium
Standard Deviation & Variance
Percentiles
Summary

Topic 2.1: Data Visualization with Seaborn

What is Seaborn
Visualizing Statistical Relationships with Scatter Plot
Visualizing Categorical Data with Bar Plot
Visualizing Correlation with Pair Plot and Heatmap
Visualizing Linear Relationships with Regression

Topic 2.3 Hypothesis Testing with SciPy

What is Hypothesis Testing
T Statistics
Student's t-test

Day 4
Topic 4: Python Statistical Analysis

Topic 4.1 Descriptive Statistics

Mean & Medium
Standard Deviation & Variance
Percentiles
Summary

Topic 4.2: Data Visualization with Seaborn

What is Seaborn
Visualizing Statistical Relationships with Scatter Plot
Visualizing Categorical Data with Bar Plot
Visualizing Correlation with Pair Plot and Heatmap
Visualizing Linear Relationships with Regression

Topic 4.3 Hypothesis Testing with SciPy

What is Hypothesis Testing
T Statistics
Student's t-test

Topic 4.4 Statistical Modeling with StatsModel

What is Statistical Modeling
Statistical Modeling with StatsModel
Goodness of Fit
ANOVA

Topic 4.5 Bayesian Inference with PyMC3

Bayesian Inference
Using PyMC3 for Bayesian Inference

Day 5
Topic 5: Python Web API with Flask

Topic 5.1 Get Started on Flask API

What is Flask?
Request Response Cycle
Create a Simple Flask API
Debug Mode
Routing
Testing the API on Postman

Topic 5.2 Returned Data from API

JSON Format
Jsonify the Data
HTTP Methods and Status Code
Add Status Code to the Data
Variable Rules
Test Out URL Rules on Postman

Topic 5.3: Working with Database

Database
ORM and SQLAlchemy
Define Table and Data
Serialize Data with Marshmallow

Topic 5.4: API Security

Create a Register Form
Login
Authentication with JSON Web Token (JWT)

Topic 5.5: Read, Create, Update and Delete

Read Data
Add Data
Update Data
Delete Data

Course Info

Prerequisite

The learner must meet the minimum requirement below :

Read, write, speak and understand English

Target Audience

NSF
Full Time Students
Data Analysts

Software Requirement

This course will use Google Colab for training. Please ensure you have a Google account.

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

10- Select a Training Provider, then click Next

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:

14- Please select a Course Title and Type of Training

15- Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:

16- Please key in the Training Location and click Next

17- Please select the Level of Certification and click Next

18- Please follow the instructions and key in trainee details

19- Click Add Batch, then click Save

20- Click Add Trainee Details

21- Please key in all the required details, then click Add

22- Click Add if there are more participants. Once done, click Save

23- Click Next

24- Please key in the course fees and allowance details, then click Save

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

Data Analyst
Programmers
IT Engineers
Data Scientist

Trainers

Nero: Nero is dean of Penang School of AI, which is AI learning and sharing community in Northern Malaysia. He is Msc in Computer Imaging in Universiti Sains Malaysia. His research is mainly focusing in Video Analytic and Multiple object tracking. At the same time, he is developing computer vision application in WyseTime, a tech-startup company focus on video analytic application using deep learning technology.

Lee Cheong Loong: Lee Cheong Loong, Manager with 23 years working experience in multiple role and department, He completed HRD Corp Train the Trainer programme, HRD Corp Accredited Trainer, Microsoft Certified Trainer and CPFA Citizen Data scientist Trainer programme. with Professional certificate in Big Data & Analytics, Microsoft Office Specialist -Excel 2016 and Tableau Desktop Specialist. He also deliver training for R & Python programming, Excel Dashboard for Business analysis, Data Visualization with Tableau, and Microsoft PowerBI, and Citizen Data Scientist (OpenCertHub).