DATA ANALYSIS AND WRANGLING WITH PYTHON
40Hrs Part-Time | 6 Weeks
Learn advanced data treatment skills in Python
Grants Available for SG/PR*
About Advanced Data Science Course
Data wrangling is the time and effort data scientists and software developers put in to prepare data for the meaningful insights you want to acquire from data exploration and data analytics. Data Analysis and Data Wrangling is a 40-hour advanced Python course that helps the student to master the foundations of acquiring and loading raw data from diverse sources and manipulating it efficiently to fulfil corporate objectives in this course.
The course will cover basic programming abilities in Python, such as variable types, operations, user input/output, logic, loops, functions, and object-oriented programming, over the course of six weeks will cover Advanced Python Principles, Project File Management, and Rudimentary Error Handling and Testing. Through hands-on activities, you can use Python to apply suggested programming practices such as documentation and naming conventions to produce coding solutions. Students will also learn industry best practices for handling various sorts of data, as well as acceptable data manipulation and coding procedures, as well as work on real-world business challenges with non-trial datasets. This course will provide the learner with the required skills and resources to successfully complete the course.
COURSE OVERVIEW
Learn advanced data management skills for Python, guided by Industry Professionals!
Embark on a 6-week journey with us. In this course, you will learn to collect, organize, and interpret data using advanced Python programming techniques
DURATION: 40 Hrs across 6 weeks | Part-Time | Sat
STUDENT-TO-LECTURER RATIO: 18 Students : 1 Lecturer
MEDIUM OF INSTRUCTION AND ASSESSMENT: Lectures, Practical (Hands-on Application) and Project-based Assessment
COURSE CODE: TGS-2022011217 (CLASSROOM & ASYNCHRONOUS E-LEARNING)
SOFTWARE TAUGHT: Python
HARDWARE REQUIREMENTS: Windows/Mac Laptop no older than 2017
AWARD OF CERTIFICATE: Statement of Attainment
GRANTS AVAILABLE: SSG, SFC, PSEA
Note: Customisation Available for Corporate Clients
INSTRUCTORS
TOPICS COVERED
- Understanding the Business Domain and its requirements
- Import Data Sets
- Types of Data using tools and techniques
- Understanding the Dataset – Quality and Quantity
- Tools and Techniques for Data Analysis
- Importing and Exporting Data in Python
- Chosen Data sets
- Clean and prepare Data for analysis
- Manipulate Data Frame
- Summarize Data
- Insights from Data
LEARNING OUTCOMES
- Understand the fundamentals of data analytics and its real-world applications.
- Learn how to clean and analyze datasets efficiently.
- Perform data wrangling techniques such as handling missing data and filtering datasets.
- Generate insightful data visualizations to identify trends and patterns.
- Develop a data-driven mindset to support decision-making in various industries.
ADDITIONAL INFORMATION
UPCOMING INTAKES
12th April 2025
ENTRY REQUIREMENTS
- Age: 18 years and above
- Education : N Level and Above
- Language : English (Spoken & Written)
- Prerequisite : Basic Knowledge of Computers and Using Productivity Software
Entry Requirements
- Passion for Programming.
- Intend to seek a career switch in the Data Analytics Vertical
- Minimum Education Level – N Level
- Work Experience (No. of Years) – N.A
- Age – 18 years and Above
- Language (Written) – English Language (Spoken) – English
- Language (Written) – English
- Workplace Literacy and Numeracy Level (WPLN) >= 6
- Computer Skills – Basic
Basic Knowledge of Computers
- Start up, log on, and shut down a computer system properly.
- Use a mouse-pointing device and keyboard.
- Identify and use icons (folders, files, applications, and shortcuts/aliases)
- Minimize, maximize, and move windows.
- Check how much space is left on a drive or other storage device.
Proficiency in Using Productivity Software
Understand and know how to use the following types of software programs:
- Word processing (example: MS Word, Google Doc, Writer)
- Presentation (example: PowerPoint, Impress)
- Compression software (example: WinZip, Stuff It, 7-Zip)
Moving Files
- Transfer files by uploading or downloading.
- View and change folder/document security settings.
Copy files from hard disk to storage devices and vice versa
COURSE FEES
(*All fees include 9% GST)
Full Course Fees: SGD 2,834
PR/Singaporean 21 – 39 Yrs/Non-SME Company Sponsored Singaporean & PR: SGD 1,534.00
Singaporean above 40Yrs/SME Company Sponsored Singaporeans & PR: SGD 1,014.00
Registered Course Name (MySkillsFuture Website) : DATA ANALYSIS AND DATA WRANGLING WITH PYTHON (Classroom & Asynchronous e-Learning)
Registered Course Code/ID : TGS-2022011217
- Self-sponsored students can use SSG Training Grant, Skills Future Credit, PSEA grant, UTAP, and SEP.
- 75% attendance is mandatory to complete the program
- The student should submit and must pass the prescribed assessment (i.e. Practical Project)
- *For additional grant eligibility, please contact us.
FAQs
Do I need to know coding for these courses?
This course covers advance Python programming techniques, hence knowledge and experience in Python is required.
What is the admission process and payment options are available?
Once you decide to take up the course our course advisor will guide you through the admissions process and the grants that are available.
We accept payments by check, bank transfer, credit/debit card and PayPal. For more information, please contact us directly using the form below.
SPEAK TO AN ADVISOR
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