Modules / Lectures
Module NameDownloadDescriptionDownload Size
Week: 1Lecture 1Lecture Notes 1340 kb
Week: 1Lecture 2lecture Notes 21307 kb
Week: 1Lecture 3lecture Notes 32125 kb
Week: 1Lecture 5lecture Notes 51020 kb
Week: 1Lecture 6lecture Notes 6733 kb
Week: 1Lecture 7lecture Notes 7783 kb
Week 2 - Use of R as a calculator, functions and matrix operations, missing data and logical operatoLecture 8Lecture Notes1286 kb
Week 2 - Use of R as a calculator, functions and matrix operations, missing data and logical operatoLecture 9Lecture Notes908 kb
Week 2 - Use of R as a calculator, functions and matrix operations, missing data and logical operatoLecture 10Lecture Notes641 kb
Week 2 - Use of R as a calculator, functions and matrix operations, missing data and logical operatoLecture 11Lecture Notes612 kb
Week 2 - Use of R as a calculator, functions and matrix operations, missing data and logical operatoLecture 12Lecture Notes677 kb
Week 3 - Conditional executions and loops, data management with sequences.Lecture 13Lecture Notes677 kb
Week 3 - Conditional executions and loops, data management with sequences.Lecture 14Lecture Notes659 kb
Week 3 - Conditional executions and loops, data management with sequences.Lecture 15Lecture Notes735 kb
Week 3 - Conditional executions and loops, data management with sequences.Lecture 16Lecture Notes716 kb
Week 3 - Conditional executions and loops, data management with sequences.Lecture 17Lecture Notes427 kb
Week 3 - Conditional executions and loops, data management with sequences.Lecture 18Lecture Notes426 kb
Week 4 - Data management with repeats, sorting, ordering, and listsLecture 19Lecture Notes415 kb
Week 4 - Data management with repeats, sorting, ordering, and listsLecture 20Lecture Notes522 kb
Week 4 - Data management with repeats, sorting, ordering, and listsLecture 21Lecture Notes561 kb
Week 4 - Data management with repeats, sorting, ordering, and listsLecture 22Lecture Notes454 kb
Week 4 - Data management with repeats, sorting, ordering, and listsLecture 23Lecture Notes508 kb
Week 4 - Data management with repeats, sorting, ordering, and listsLecture 24Lecture Notes476 kb
Week 5 - Vector indexing, factors, Data management with strings, display and formatting.Lecture 25Lecture Notes278 kb
Week 5 - Vector indexing, factors, Data management with strings, display and formatting.Lecture 26Lecture Notes307 kb
Week 5 - Vector indexing, factors, Data management with strings, display and formatting.Lecture 27Lecture Notes350 kb
Week 5 - Vector indexing, factors, Data management with strings, display and formatting.Lecture 28Lecture Notes266 kb
Week 5 - Vector indexing, factors, Data management with strings, display and formatting.Lecture 29Lecture Notes288 kb
Week 5 - Vector indexing, factors, Data management with strings, display and formatting.Lecture 30Lecture Notes303 kb
Week 6 - Data management with display paste, split, find and replacement, manipulations with alphabeLecture 31Lecture Notes373 kb
Week 6 - Data management with display paste, split, find and replacement, manipulations with alphabeLecture 32Lecture Notes467 kb
Week 6 - Data management with display paste, split, find and replacement, manipulations with alphabeLecture 33Lecture Notes477 kb
Week 6 - Data management with display paste, split, find and replacement, manipulations with alphabeLecture 34Lecture Notes367 kb
Week 6 - Data management with display paste, split, find and replacement, manipulations with alphabeLecture 35Lecture Notes370 kb
Week 7 - Data frames, import of external data in various file formats, statistical functions, compillecture 36lecture Notes486 kb
Week 7 - Data frames, import of external data in various file formats, statistical functions, compillecture 37lecture Notes315 kb
Week 7 - Data frames, import of external data in various file formats, statistical functions, compillecture 38lecture Notes521 kb
Week 7 - Data frames, import of external data in various file formats, statistical functions, compillecture 39lecture Notes429 kb
Week 8 - Graphics and plots, statistical functions for central tendency, variation, skewness and kurlecture 40lecture Notes556 kb
Week 8 - Graphics and plots, statistical functions for central tendency, variation, skewness and kurlecture 41lecture Notes308 kb
Week 8 - Graphics and plots, statistical functions for central tendency, variation, skewness and kurlecture 42lecture Notes343 kb
Week 8 - Graphics and plots, statistical functions for central tendency, variation, skewness and kurlecture 43lecture Notes384 kb


New Assignments
Module NameDownload
noc19_ma33_assessment_id_Week_0noc19_ma33_assessment_id_Week_0
noc19_ma33_assessment_id_Week_1noc19_ma33_assessment_id_Week_1
noc19_ma33_assessment_id_Week_2noc19_ma33_assessment_id_Week_2
noc19_ma33_assessment_id_Week_3noc19_ma33_assessment_id_Week_3
noc19_ma33_assessment_id_Week_4noc19_ma33_assessment_id_Week_4
noc19_ma33_assessment_id_Week_5noc19_ma33_assessment_id_Week_5
noc19_ma33_assessment_id_Week_6noc19_ma33_assessment_id_Week_6
noc19_ma33_assessment_id_Week_7noc19_ma33_assessment_id_Week_7


Sl.No Chapter Name MP4 Download
1How to Learn and Follow the CourseDownload
2Lecture 01 - Why R and Installation ProcedureDownload
3Lecture 02 : Introduction _Help_ Demo examples_ packages_ libraries Download
4Lecture 03 : Introduction _Command line_ Data editor _ Rstudio Download
5Lecture 04 : Basics in Calculations Download
6Lecture 05 : Basics of Calculations _ Calculator _Built in Functions AssignmentsDownload
7Lecture 06 : Basics of Calculations _Functions _MatricesDownload
8Lecture 07 - Basics Calculations: Matrix OperationsDownload
9Lecture 08 - Basic calculations: Matrix operationsDownload
10Lecture 09 - Basic calculations: Missing data and logical operatorsDownload
11Lecture 10 - Basic calculations: Logical operatorsDownload
12Lecture - 11 Basics calculations: Truth table and conditional executionsDownload
13Lecture 12 - Basics calculations: Conditional executions and loopsDownload
14Lecture 13 - Basics calculations: LoopsDownload
15Lecture 14 - Data managment: SequencesDownload
16Lecture 15 - Data management : sequencesDownload
17Lecture 16 - Data management : RepeatsDownload
18Lecture 17 - Data management : Sorting and OrderingDownload
19Lecture 18 - Data management : ListsDownload
20Lecture 19 - Data management: Lists (continued)Download
21Lecture 20 - Data management : Vector indexingDownload
22Lecture 21 - Data management : Vector Indexing (continued)Download
23Lecture 22 - Data management: FactorsDownload
24Lecture 23 - Data management: factors (continued)Download
25Lecture 24: Strings -Display and Formatting, Print and Format FunctionsDownload
26Lecture 25 : Strings - Display and Formatting, Print and Format with ConcatenateDownload
27Lecture 26 : Strings - Display and Formatting, Paste FunctionDownload
28Lecture 27 : Strings - Display and Formatting, SplittingDownload
29Lecture 28 : Strings - Display and Formatting, Replacement_ Manipulations _AlphabetsDownload
30Lecture 29 : Strings - Display and Formatting, Replacement and Evaluation of StringsDownload
31Lecture 30 : Data framesDownload
32Lecture 31 : Data frames (Continued )Download
33Lecture 32 : Data frames (Continued)Download
34Lecture 33 : Data Handling - Importing CSV and Tabular Data FilesDownload
35Lecture 34: Data Handling - Importing Data Files from Other Software Download
36Lecture 35 : Statistical Functions : Frequency and Partition valuesDownload
37Lecture 36 : Statistical Functions - Graphics and PlotsDownload
38Lecture 37 : Statistical Functions - Central Tendency and Variation Download
39Lecture 38 : Statistical Functions - Boxplots, Skewness and KurtosisDownload
40Lecture 39 : Statistical Functions - Bivariate three dimensional plot.Download
41Lecture 40 : Statistical Functions - Correlation and Examples of ProgrammingDownload
42Lecture 41: Examples of ProgrammingDownload
43Lecture 42 : Examples of More ProgrammingDownload

Sl.No Chapter Name English
1How to Learn and Follow the CourseDownload
Verified
2Lecture 01 - Why R and Installation ProcedureDownload
Verified
3Lecture 02 : Introduction _Help_ Demo examples_ packages_ libraries Download
Verified
4Lecture 03 : Introduction _Command line_ Data editor _ Rstudio Download
Verified
5Lecture 04 : Basics in Calculations Download
Verified
6Lecture 05 : Basics of Calculations _ Calculator _Built in Functions AssignmentsDownload
Verified
7Lecture 06 : Basics of Calculations _Functions _MatricesDownload
Verified
8Lecture 07 - Basics Calculations: Matrix OperationsDownload
Verified
9Lecture 08 - Basic calculations: Matrix operationsDownload
Verified
10Lecture 09 - Basic calculations: Missing data and logical operatorsDownload
Verified
11Lecture 10 - Basic calculations: Logical operatorsDownload
Verified
12Lecture - 11 Basics calculations: Truth table and conditional executionsDownload
Verified
13Lecture 12 - Basics calculations: Conditional executions and loopsDownload
Verified
14Lecture 13 - Basics calculations: LoopsDownload
Verified
15Lecture 14 - Data managment: SequencesDownload
Verified
16Lecture 15 - Data management : sequencesDownload
Verified
17Lecture 16 - Data management : RepeatsDownload
Verified
18Lecture 17 - Data management : Sorting and OrderingDownload
Verified
19Lecture 18 - Data management : ListsDownload
Verified
20Lecture 19 - Data management: Lists (continued)Download
Verified
21Lecture 20 - Data management : Vector indexingDownload
Verified
22Lecture 21 - Data management : Vector Indexing (continued)Download
Verified
23Lecture 22 - Data management: FactorsDownload
Verified
24Lecture 23 - Data management: factors (continued)Download
Verified
25Lecture 24: Strings -Display and Formatting, Print and Format FunctionsDownload
Verified
26Lecture 25 : Strings - Display and Formatting, Print and Format with ConcatenateDownload
Verified
27Lecture 26 : Strings - Display and Formatting, Paste FunctionDownload
Verified
28Lecture 27 : Strings - Display and Formatting, SplittingDownload
Verified
29Lecture 28 : Strings - Display and Formatting, Replacement_ Manipulations _AlphabetsDownload
Verified
30Lecture 29 : Strings - Display and Formatting, Replacement and Evaluation of StringsDownload
Verified
31Lecture 30 : Data framesDownload
Verified
32Lecture 31 : Data frames (Continued )Download
Verified
33Lecture 32 : Data frames (Continued)Download
Verified
34Lecture 33 : Data Handling - Importing CSV and Tabular Data FilesDownload
Verified
35Lecture 34: Data Handling - Importing Data Files from Other Software Download
Verified
36Lecture 35 : Statistical Functions : Frequency and Partition valuesDownload
Verified
37Lecture 36 : Statistical Functions - Graphics and PlotsDownload
Verified
38Lecture 37 : Statistical Functions - Central Tendency and Variation Download
Verified
39Lecture 38 : Statistical Functions - Boxplots, Skewness and KurtosisDownload
Verified
40Lecture 39 : Statistical Functions - Bivariate three dimensional plot.Download
Verified
41Lecture 40 : Statistical Functions - Correlation and Examples of ProgrammingDownload
Verified
42Lecture 41: Examples of ProgrammingDownload
Verified
43Lecture 42 : Examples of More ProgrammingDownload
Verified


Sl.No Language Book link
1EnglishDownload
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available