SCTP Statistics and Data Visualisation with libraries like Matplotlib and Seaborn
Training Provider: SINGAPORE INSTITUTE OF TECHNOLOGY
Course Reference: TGS-2025052828
S$956
Original: S$3,188
Save S$2,231
About This Course
This course is designed to equip students with the essential statistical knowledge and practical skills to analyze and visualize data effectively. By leveraging powerful Python libraries like Matplotlib and Seaborn, students will learn to extract meaningful insights from data and communicate findings in a visually compelling manner.
What You'll Learn
The course objectives are to equip learners with knowlege and skills to:
- Understand fundamental statistical concepts, including descriptive statistics, probability distributions, hypothesis testing, and regression analysis.
- Apply statistical methods to analyze and interpret data sets.
- Learn the principles of effective data visualization, including clarity, accuracy, and aesthetics.
- Understand the various types of charts and graphs used to represent different data types.
- Gain proficiency in using Matplotlib and Seaborn libraries for creating a wide range of visualizations.
- Explore customization options to tailor visualizations to specific needs and audiences.
- Data Storytelling: Develop the ability to communicate data-driven insights in a clear, concise, and compelling manner.
- Apply statistical and visualization techniques to real-world data analysis problems.
- Understand fundamental statistical concepts, including descriptive statistics, probability distributions, hypothesis testing, and regression analysis.
- Apply statistical methods to analyze and interpret data sets.
- Learn the principles of effective data visualization, including clarity, accuracy, and aesthetics.
- Understand the various types of charts and graphs used to represent different data types.
- Gain proficiency in using Matplotlib and Seaborn libraries for creating a wide range of visualizations.
- Explore customization options to tailor visualizations to specific needs and audiences.
- Data Storytelling: Develop the ability to communicate data-driven insights in a clear, concise, and compelling manner.
- Apply statistical and visualization techniques to real-world data analysis problems.
Entry Requirements
Anyone who has intermediate level of knowledge in the use of computer applications and has some Science, Technology, Engineering, and Mathematics (STEM) background in work experience or education.
Course Details
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