Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Batch 58 - Masters In Data Science (VP)
10 October
10 October (184:33)
10 October zip
16 October
16 October (178:58)
Day1.zip
17 October
17 October (237:40)
Day2.zip
23 October
23 October (185:50)
Day3.zip
24 October
24 October (176:43)
Day4.zip
31 October
31 October (208:24)
6 November
6 November (204:19)
12 November
12 November (193:29)
13 November
13 November (165:09)
14 November
14 November (188:22)
Day7.zip
27 November
27 November (177:21)
The cartoon guide to statistics pdf
Day 8.zip
28 November
28 November (188:20)
4 December
4 December (193:15)
5 December
5 December (282:16)
12 December
12 December (227:43)
18 December
18 December (215:04)
Day 10.zip
installation guide.odt
19 December
19 December (195:22)
Day11.zip
26 December
26 December (188:38)
2 January
2 January (193:37)
Day12.zip
8 January
8 January (185:01)
9 January
9 January (205:28)
15 January
15 January (225:23)
Day14.zip
16 January
16 January (239:21)
22 January
22 January (214:28)
23 January
23 January (226:41)
Day 15.zip
EDA.zip
29 January
29 January (219:08)
30 January
30 January (199:59)
5 February
5 February (212:02)
6 February
6 February (238:24)
R Day1.zip
Hadley Wickham.pdf
Garrett Grolemund.pdf
12 February
12 February (250:19)
R EDA.zip
13 February
13 February (226:29)
Day ML1.zip
19 February
19 February (128:18)
20 February
20 February (252:08)
DayML2.zip
Loan Prediction.zip
26 February
26 February (198:07)
27 February
27 February (186:40)
13 March
13 March (223:20)
19 March
19 March (194:13)
Linear Regression zip
Logistic Regression zip
20 March
20 March (208:36)
Screenshots 19th and 20th March
Heightweight csv
26 March
26 March (228:07)
26 March zip documents
27 March
27 March (243:02)
Python and Lambda function files
27 march zip
2 April
2 April (210:58)
3 April
3 April (243:43)
10 April
10 April (185:48)
Bike sharing case study
Lead Scoring Case study
Logistic Regression
Resume and portfolio
16 April
16 April - Part 1 (201:34)
16 April - Part 2 (132:27)
Logistic regression docs
SQL Introduction and day 1
17 April
17 April - part 1 (204:00)
17 April - part 2 (154:08)
23 April
23 April - part 1 (246:19)
23 April part 1 documents
23 April - part 2 (125:45)
23 April part 2 documents
24 April
24 April (202:06)
1 May
Part 1 (191:47)
Part 2 (126:48)
7 May
Part 1 (205:24)
Part 2 (194:08)
8 May
Part 1 (225:29)
Part 2 (192:49)
Documents for 7 and 8 May Sessions
Morning Session Documents
MySQL-NorthWind-DataBase-master zip
SQL 17042022 zip
SQL 23042022 zip
SQL 07052022 zip
SQL 08052022 zip
14 May
14 May - part 1 (182:22)
14 May - part 2 (164:17)
SQL 14052022 zip
15 May
15 May (245:06)
SQL 15052022 zip
21 May
21 May (180:24)
22 May
22 May (181:17)
Tableau Day1.zip
28 May
28 May (167:11)
Tableau Day2.zip
29 May
29 May (216:26)
Tableau Day3.zip
4 June
4 June (185:05)
Unsupervised algorithms documents
5 June
5 June (207:06)
11 June
11 June (169:29)
Unsupervised learning zip
12 June
12 June (165:54)
Unsupervised learning zip
Career Building Section
Career Building Session (180:37)
Sample Resume1
Sample Resume2
Resume Building Handy Tips
Interview Questions
27 February
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock