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.
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 (Mondays and Wednesdays, 7:30PM - 10:30PM)
Note:Customisation Available for Corporate Clients
Award of Certificate:Statement of Attainment
Grants Available:SSG, SFC, PSEA
Course Code :TGS-2022011217 (CLASSROOM & ASYNCHRONOUS E-LEARNING)
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.
(*All fees include 8% GST)
Full Course Fees :
PR/Singaporean 21 – 39 Yrs/Non-SME Company Sponsored Singaporean & PR :
Singaporean above 40Yrs/ SME Company Sponsored Singaporeans & PR :
*All payments on or after 1st Jan 2023 will be subject to 8% GST.
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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