Data Analysis and Data Wrangling | Learn Python | Upto 70% Grants - SSG
data-science

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 | Mon & Wed

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

With over 25 years of working experience, in companies such as ICONIX International and Delcan Corporation in Toronto, Canada. Thomas has played a key role in developing the Automatic Fare Collection System for the Taiwan High Speed Rail in Taipei. His significant experience in the IT industry enriches both his industrial training and his academic teaching. He has teaching experience in subjects like Games Programming at various Singaporean institutions.

Thomas O’Dell

Adjunct Lecturer

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
  • Select the best tools and learn the right techniques to wrangle the collected Data
  • Evaluate and analyse the Data using appropriate tools and techniques based on business objectives to maximize
  • Derive insights by performing visual analysis on real world Data and articulate how these insights impact business decisions and lead to improved business objectives
ADDITIONAL INFORMATION

UPCOMING INTAKES

TBD

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

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

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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