DATA SCIENCE COURSE CONTENT
Introduction to Data Science
• What is Data Science? Role of Data Science Scope of Data Science
1. Descriptive and Inferential Statistics
Samples and Populations Sample Statistics Estimations of Population Parameters Random and Non-random Sampling Sampling Distributions The Central limit Theorem Degree of Freedom
• Percentiles and Quartiles
• Measures of Central Tendency
Mean Median Mode
• Measures of Variability/Dispersions
o Range IQR Variance Standard Deviation
• Distributions
o Normal Distributions Binomial Distribution
• Probability Distribution
o Events, Sample Space and Probabilities
Conditional Probabilities Independence of Events Bayes’ Theorem
• Random Variable
• Confidence Intervals
• Hypothesis Testing
Null Hypothesis The Significance Level p-value Type I and Type II Errors
• Inferential Test Metrics
t test f test Z test Chi square test Student test
• The Comparison of Two Populations
• Analysis of Variance ANOVA Computations Two-way ANOVA
• Similarity Metrics Euclidean Distance Jaccard Distance Cosine Similarity
• Graphical Representation and summaries
2. Data Exploration
• Variable Identification
• Uni-variate Analysis
• Bi-variate Analysis
• Missing Values Treatment more details :
