(SCTP Module) Data Validation and Statistical Analysis with Programming
Training Provider: SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN
Course Reference: TGS-2024042356
S$1,350
Original: S$4,500
Save S$3,150
About This Course
Perform the statistical validation component for the role of a junior data scientist, Statistician and/or Researcher.
Validate dataset statistically to support data analysis and modelling
Explore on data distribution and identify statistical anomalies
Compute Statistical Indicators for the dataset
Check normality assumption for a data series
Perform statistical test and validation on dataset
Conduct further statistical analysis
What You'll Learn
Effective data science project relies on one critical aspect, data quality. With the right data quality, statistical analysis can then take place which translates data into meaningful insights for businesses. Data Validation plays an important role in ensuring the data is correct and useful in preparation for analysis.
This course is designed to introduce the general concepts of Data Science with a focus on Data Validation and Statistical Analysis for participants who prefer a programming approach. By the end of this course, participants will be able to leverage on Python for Data Validation and Statistical Analysis.
This course is designed to introduce the general concepts of Data Science with a focus on Data Validation and Statistical Analysis for participants who prefer a programming approach. By the end of this course, participants will be able to leverage on Python for Data Validation and Statistical Analysis.
Entry Requirements
Recommend to complete Academy's
• Foundation of Data Science
• Data Wrangling and Preparation with Programming
Some literacy and competency in basic mathematics, statistics, and Python.
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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