Thursday, 8 December 2016

Introduction to Data Science course , Data Science training in hyderabad

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

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