Bootcamp on Data Science using R language

سرفصل های دوره

Building Data Science Pipelines

1 - About the Program

1 - Course Introduction

2 - Course Outline

2 - Introduction to Data Science

3 - What is Data Science

4 - What is Data

5 - Whats the Job with Data

6 - Data Science Tools Technologies

7 - Data Science Process Flow

8 - Applications of Data Science

3 - Foundations of R

9 - Introduction to R Language

10 - Installation of R Language and R Studio

11 - Handling R Environment

12 - Setting Working Directory

13 - Data Types and Variables

14 - Arithmetic Operations

15 - Data Frames

4 - Data Collection

16 - Data Science Methodology

17 - Data Collection Techniques

18 - Introduction to Web Scraping

19 - Web Scraping Using R Language

5 - Data Preprocessing

20 - Significance of Data Preprocessing

21 - Checking Data Formats

22 - Handling Missing Data

23 - Handling Categorical Data

24 - Outlier Analysis

25 - Data Scaling

6 - Descriptive Statistics

26 - Significance of Statistics in Data Science

27 - Descriptive Statistics Tools for Data Science

28 - Measure of Central Tendency

29 - Variation in Data

30 - Association of Variables

7 - Inferential Statistics

31 - What is Inferential Statistics

32 - Confidence Intervals

33 - Confidence Intervals in R Language

34 - Student TDistribution

35 - TTest in R Language

36 - Hypothesis Testing

37 - Hypothesis Testing in R Language

8 - Predictive Modelling

38 - What is Predictive Analytics

39 - Introduction to Linear Regression

40 - Simple Linear Regression in R Language

41 - Introduction to Multiple Linear Regression

42 - Multiple Linear Regression in R Language

9 - Classification

43 - Introduction to Classification Models

44 - Introduction to Logistic Regression

45 - Implementation of Logistic Regression

46 - Introduction to Random Forest Classification

47 - Random Forest Classification in R Language

10 - Dimensionality Reduction

48 - Introduction to Dimensionality Reduction

49 - Introduction to Principle Component Analysis

50 - Principle Component Analysis in R Language

11 - About the Program

51 - Course Conclusion

45,900 تومان

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تولید کننده: Udemy