by Jagranjosh

# Certified Data Science using R Language Training by eduCBA - Online Course

Section 1: Understanding R 1 Basics of R 2 Basic R Functions 3 Data Types 4 Recycling Rule 5 Special Numerical Values 6 Parallel Summary Functions 7 Logical Conjunctions 8 Pasting Strings together 9 T...View more

#### Specification

• Category: Web & Mobile Development
• Product Type: Online Course
Product Description

Section 1: Understanding R

1 Basics of R

2 Basic R Functions

3 Data Types

4 Recycling Rule

5 Special Numerical Values

6 Parallel Summary Functions

7 Logical Conjunctions

8 Pasting Strings together

9 Type Coercion

10 Array & Matrix

11 Factor

12 Repository & Packages

13 Installing a Package

14 Importing Data

15 Importing Data SPSS

16 Working with Data

17 Data Aggregation

Section 2: Data Manipulation & Statistics Basics

18 Data Manipulation & Statistics Basics

19 Merging

20 Data Creation

21 Merge Example

22 What is Statistics

23 Variables

24 Quantiles

25 Calculating Variance

26 Calculating Covariance

27 Cumulative Frequency

28 Library (mass)

30 Scatter Plot

31 Control Flow

Section 3: Statistics, Probability & Distribution

32 Statistics, Probability & Distribution

33 Random Variable

34 Random Example

35 Discrete Example

36 Practice problem

37 Continuous Case

38 Exponential Distribution Practice Problem

39 Expected Value

40 Gambling Example

41 Deal or no deal

42 Distribution details

43 Binomial Distribution continued

44 Expected Value from Binomial

45 Uniform Random Variables

46 Probability distributions examples

47 Probability distributions examples continued

Section 4: Business Analytics using R

49 Normal PDF

50 What is Normal, Not Normal

51 SAT Example

52 Example- Birth Weights

53 dNorm, pNorm, qNorm

54 Understanding Estimation

55 Properties of Good Estimators

56 Central Limit Theorem

57 Kurtosis

58 Constructing Central Limit Theorem

59 Confidence Intervals for the Mean

60 Confidence Intervals Examples

61 Computer Lab Example

62 t-distribution

63 t-distribution continued

Section 5: Examples, Testing & Forecasting

64 R Examples

65 Standard error of the mean

67 Sample Differences

68 Hypothesis Generation & Testing

69 Hypothesis Testing

70 One sided P Value

71 Power & Sample Size

72 Testing Hypothesis using R

73 Calculating the Z value

74 Lower Tail proportion of population proportion

75 Forecasting

76 Time Series Analysis Applications

77 Approaches to Forecasting

78 Observation Components

80 Double Exponentional Smoothing

81 ARIMA Steps

82 Forecasting Performance

83 Univariate ARIMA

Section 6: Understanding Visualizations

84 R Visualization

85 Why Visualize

86 Overlaying Plots

87 Graphs representation of Data

88 Graphs representation of Data continued

90 Bubble Charts

91 Anova

92 Concept of effect

93 Estimate of Treatment effect

94 Factorial Anova

95 Regression

96 Regression Model

97 Linear Relationship

98 Output of Regression Model

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Certified Data Science using R Language Training by eduCBA - Online Course

Section 1: Understanding R

1 Basics of R

2 Basic R Functions

3 Data Types

4 Recycling Rule

5 Special Numerical Values

6 Parallel Summary F

Specification
• Category: Web & Mobile Development
• Product Type: Online Course
Product Description

Section 1: Understanding R 1 Basics of R 2 Basic R Functions 3 Data Types 4 Recycling Rule 5 Special Numerical Values 6 Parallel Summary Functions 7 Logical Conjunctions 8 Pasting Strings together 9 Type Coercion 10 Array & Matrix 11 Factor 12 Repository & Packages 13 Installing a Package 14 ... Read More

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