Applied Statistics Real World Problem Solving
Real World Problem Solving is a comprehensive course designed to equip you with the statistical tools and techniques needed to analyze real-world data and make informed decisions. Whether you're a business analyst, data scientist, or simply looking to enhance your data analysis skills, this course will provide you with a solid foundation in applied statistics.
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Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Applied Statistics Real World Problem Solving
16 Learning Materials
Introduction to Business Statistics
Introduction to Data Types and Business Statistics
Quantitative vs Qualitative Data: A Comparative Analysis
Measures of Central Tendency: Mean, Median, and Mode
Measures of Dispersion and Distributions
Understanding Measures of Dispersion
Introduction to Distributions and the Central Limit Theorem
Sampling and Z-Scores
Hypothesis Testing and Correlation
Hypothesis Testing and P-Value Interpretation
T-tests, Confidence Intervals, and ANOVA
Pearson Correlation Coefficient Explained
Advanced Statistical Concepts
Advanced Hypothesis Testing and Correlation Analysis
Data Cleaning and Preprocessing Techniques
Visualizing Data with Histograms and Box Plots
Statistical Analysis and Visualization
Summary Statistics and Variable Relationships
Correlation and Pair Plots
Handling High Correlation and Using Heat Maps
ASSIGNMENT
STATS ASSIGNMENT
Course Instructor
Mentor
27 Courses • 2698 Students
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