Course Program
Popular Courses
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What You'll Learn
- Have a fundamental understanding of the Python programming language.
- Understand both Python 2 and Python 3.
- Learn function programming.
- Object-Oriented Programming.
- Learn best practices to write clean, performant, and bug free code
Student Testimonial
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John Doe
Designer
Course Content
HTML 5 Lessons
- Role of Statistics in Data
- ScienceCategories of Statistics
- Descriptive Statistics
- Inferential Statistics
- Statistical Terminology
- Population
- Data Sampling
- Simple Random Sampling
- Systematic Sampling
- Stratified Sampling
- Cluster Sampling
- Types of Data, Levels Of Measurement
- Categories of Data
- Types of Data
- Levels of Measurement
- Why are Data Types Important in Analytics or Data Science
- How are levels of Measurement Useful for Data Analysis
- Describing Data through statistics
- Measure of central tendency
- Mean / Average
- Median
- Mode
- Implementation in Excel
- Measure of Spred/Measures of Variability
- Variance
- Standard Deviation
- Range
- Inter Quartile Range
- Case-Studies
- How to Use Standard Deviation for Business
- Inter Qaurtile Cases Study
- Measure of Skewness or Kurtosis
- Measure of Skewness
- Measure of Kurtosis
- Standardization and Normalization
- Standardization
- Normalization
- UnBalanced Data
- Data Imputations
- Probability
- Probability Range
- Random Variable
- Probability Vs Statistics
- Probability Terminology
- Sample Space, Event, Sample Point
- Probability Categories
- Probability Rules
- Independent Events
- Probability Categories
- Conditional Probability
- Bayes Theorem
- Conditional Probability Case-Study Problems
- Bayes Theorem Case-Study Problems
- American Roulette
- American Roulette: Over a period of time, how does the casino always win?
- Probability Distribution
- Random Variable (Probability)
- What is Probability Distribution ?
- What is Probability Distribution Used for?
- Types of Probability Distribution
- Purpose of Probability Distribution
- Normal Distribution
- Standard Normal Distribution, Z-score
- Sampling Variation
- Central Limit Theorem
- T-Distribution
- Confidence Interval
- Decision Errors
- Fisher Experitment
- Hypothesis Testing
- Critical Region
- Significance Level
- Tail Test
- P-value
- P-value Approach
- Interpreting P-value
- Significance Level Values
- Relationship between Hypothesis testing and Common Language