Advanced Data Science Class | Learn Python | Upto 70% Grants - SSG

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.

Top Rated Data Science Course Singapore

DATA ANALYSIS AND DATA WRANGLING WITH PYTHON

Data Science remains to be the need of the hour and shows no signs of slowing down. Data Science platforms are deployed for sustainability in highly competitive industries enabling optimal use of analytics. As the world produces exponentially more data as time passes, so does the need to collect/gather, wrangle/arrange and analyse the data collected.

Learners will leave with the fundamentals of gathering and loading raw data from various sources and effectively manipulate them to meet business objectives, along with industry best-practices on handling different types of data, appropriate manipulation and coding. They will be exposed to hands-on real world problems using non-trial datasets.  This course will equip the learner with the necessary skills and tools needed to tackle business data problems using a programmatic approach.


Duration/Schedule:40Hrs Across 6 Mondays and Wednesdays (7:30PM - 10:30PM)

Note:Customisation Available for Corporate Clients

Award of Certificate:Statement of Attainment

Software Taught:Python

Grants Available:SSG, SFC, PSEA

Course Code :TGS-2022011217 (CLASSROOM & ASYNCHRONOUS E-LEARNING)

INSTRUCTORS

Thomas O’Dell

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

ADMISSION INFORMATION

UPCOMING INTAKES

Nov 2022
Mar 2023

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

Full Course Fees :
SGD 2,782

PR/Singaporean 21 – 39 Yrs/Non-SME Company Sponsored Singaporean & PR :
SGD 1,482

Singaporean above 40Yrs/ SME Company Sponsored Singaporeans & PR :
SGD 962

(All fees include 7% GST)

Grants Available

Self-sponsored students can use Skills Future Credit and Training Grant by SSG, and PSEA. Learners eligible for SSG funding must achieve at least 75% attendance and pass all assessment components. *For additional grant eligibility, please contact us.

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