About this course
This course is designed to equip learners with the core skills and confidence to understand, analyze, and present statistical data. Participants will explore the building blocks of both descriptive and inferential statistics, including mean, median, standard deviation, p-values, and confidence intervals. The course emphasizes practical applications through real-world datasets, guiding students in data collection, cleaning, and sampling techniques. Visualization tools like bar graphs, histograms, and boxplots will be taught to transform raw data into compelling narratives. Learners will also gain foundational exposure to hypothesis testing, correlation, and regression analysis to make evidence-based decisions. From statistical significance to effective data storytelling, this course is ideal for researchers, analysts, business professionals, and students seeking to harness the power of data for informed action.
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Course Syllabus
1 Parts
Statistics and Data Analysis syllabus
2.79 MB
Courses
6 Parts
Introduction
2.14 MB
Hypothesis-Testing-Correlation-and-Regression
0.28 MB
Fundamentals-of-Statistics-Descriptive-and-Inferential
0.83 MB
Data-Collection-Sampling-and-Cleaning
0.3 MB
Visualizing-and-Summarizing-Data
0.39 MB
Final Assessment
5 Questions
15 Min
Passed grade: 65/100
Attempts: 0/1
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