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Data Science

Learn essential design principles, wireframing, prototyping, and user research from industry experts.

4.8
(36 ratings)
To enroll in this course, please contact the Admin
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Course Overview

Course Curriculum

1 Subject

DS [ GL605A ]

42 Learning Materials

Time Table

Time Table

Image

Notes/Codes/Project Details

Notes 1

ZIP

Notes 2

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Notes 3

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Notes 4

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Notes 5

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Notes 6

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Notes 7

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Notes 8

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Notes 9

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Notes 10

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Notes 11

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Notes 12

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Notes 13

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Notes 14

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RAILWAY PROJECT, PYTHON+MYSQL

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DATA SCIENCE - STEP 1

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DATA SCIENCE - STEP 1(2)

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Module 1 : Python for Data Science

Session 1

Video
00:55:57

Session 2

Video
00:50:25

Session 3

Video
00:59:00

Session 4

Video
01:00:09

Session 5

Video
01:01:19

Session 6

Video
00:51:38

Session 7

Video
00:52:22

Session 8

Video
01:03:01

Session 9

Video
00:39:27

Module 2 : Statistics and Probability

Session 10

Video
00:45:15

Session 11

Video
00:51:20

Session 12

Video
00:38:55

Session 13

Video
00:43:33

Session 14

Video
00:51:55

Session 15

Video
00:55:40

Module 3 : Data Visualization with Matplotlib and Seaborn

Session 16

Video
00:50:46

Session 17

Video
00:38:49

Session 19

Video
00:58:58

Session 20

Video
00:44:45

Session 21

Video
00:46:22

Session 22

Video
00:54:35

Session 23

Video
00:58:17

Session 24

Video
00:53:35

Session 25

Video
00:54:53

Module 4: Exploratory Data Analysis (EDA)

Module 5: Machine Learning Algorithms

Module 6: SQL and Data Handling

Module 7: Deep Learning Fundamentals

Course Instructor

Ratings & Reviews

4.8 /5

36 ratings

7 reviews

5

84%

4

16%

3

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Pavithra G P

2 months ago

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Nisha N P

2 months ago

Nice
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ANU GK

2 months ago