What will i learn?
Curriculum for this course
47 Lessons
00:00:00 Hours
Data Structure
10 Lessons
00:00:00 Hours
- Creating Vectors 00:00:00
- Manipulating Vectors 00:00:00
- Sorting Vectors 00:00:00
- Using Lists in R 00:00:00
- Creating Matrices 00:00:00
- Matrix Operations 00:00:00
- Creating Factors 00:00:00
- Creating Data Frames 00:00:00
- Data Frame Operations 00:00:00
- Practical Exercise : Creating & Using a Data Frame 00:00:00
Importing & Exporting Data
7 Lessons
00:00:00 Hours
- Reading from CSV file 00:00:00
- Reading from Excel 00:00:00
- Reading from HTML 00:00:00
- Exporting to CSV 00:00:00
- Exporting to Excel 00:00:00
- Export to HTML 00:00:00
- Practical Exercise : Reading & Writing Data 00:00:00
Data Exploration
9 Lessons
00:00:00 Hours
- Creating dplyr tables 00:00:00
- Selecting Subsets 00:00:00
- Filtering Tabular Data 00:00:00
- Piping Data 00:00:00
- Mutating Data 00:00:00
- Summarizing Data 00:00:00
- Combined Datasets 00:00:00
- Grouping Data 00:00:00
- Practical Exercise : Querying Data 00:00:00
Classification & Clustering
7 Lessons
00:00:00 Hours
- Preparing data for classification 00:00:00
- Using rpart 00:00:00
- Using ctree 00:00:00
- Preparing data for clustering 00:00:00
- Using k-means Clustering 00:00:00
- Using hierarchical clustering 00:00:00
- Practical Exercise : Creating a decision tree 00:00:00
Regression Methods
7 Lessons
00:00:00 Hours
- Linear Data Preparation 00:00:00
- Creating Linear Models 00:00:00
- Interpreting Model Output 00:00:00
- Using Linear Prediction 00:00:00
- Logistics Data Preparation 00:00:00
- Using gim 00:00:00
- Creating a Linear Model 00:00:00
Data Visualization
7 Lessons
00:00:00 Hours
- Scatter Plots 00:00:00
- Line Graphs 00:00:00
- Bar Charts 00:00:00
- Box and Whisker Plots 00:00:00
- Histograms 00:00:00
- Bubble Plot 00:00:00
- Practical Exercise : Data Visualization 00:00:00
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