Data Wrangling, Analysis and Visualisation (Synchronised e-learning)
Training Provider: Singapore Polytechnic
Course Reference: TGS-2020000435
S$195
Original: S$650
Save S$455
About This Course
Data Wrangling, Analysis and Visualisation are critical skills that are necessary in the handling the challenges in a variety of modern-day data-driven businesses.
In today's era of big data where the computer and network are everywhere and business process may be translated to data, data manipulation and visualisation skills are much needed to make insightful decisions.
Knowledge in data analysis and visualisation provide one with the necessary skills that form the basis for deeper quantitative reasoning needed for data and predictive analytics work.
What You'll Learn
This course aims to equip participants with the skills to clean data, perform simple analysis and create useful and interactive visualizations and dashboards for presentation and recommendations to stakeholders.
Participants will learn how to achieve this using Excel and Tableau software.
By the end of the course, participants will be able to:
• Prepare, clean, format and manage data using Excel for analysis
• Summarize and represent data meaningfully using excel for further analysis and decision making
• Prepare and manipulate data for visualisation using Tableau
• Visualize data using Tableau basics
• Apply advanced visualisation using charting capabilities in Tableau
• Build Interactive Dashboards using Tableau
Participants will learn how to achieve this using Excel and Tableau software.
By the end of the course, participants will be able to:
• Prepare, clean, format and manage data using Excel for analysis
• Summarize and represent data meaningfully using excel for further analysis and decision making
• Prepare and manipulate data for visualisation using Tableau
• Visualize data using Tableau basics
• Apply advanced visualisation using charting capabilities in Tableau
• Build Interactive Dashboards using Tableau
Entry Requirements
Basic communication skills in the English language. Experience in working with data would be an advantage.
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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