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Instructor Name

Saurabh Sharma

Category

Data Science

Reviews

( 4.8 )

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Course Description

From asking the appropriate questions to generating conclusions and reporting results, this specialization covers the ideas and tools you'll need across the data science pipeline. In the Capstone Project, you'll put your newfound abilities to use by creating a data product based on real-world data. Students will have a portfolio at the end of the course that demonstrates their knowledge of the content.

This Specialization will teach you about data science and the jobs that data scientists perform. You'll study how data science may be used in a variety of disciplines and how data analysis can assist you in making data-driven decisions. You'll discover that you may get a head start in the industry without any prior understanding of computer science or programming languages. This Specialization will provide you with the foundation you'll need to pursue more advanced studies to further your career objectives. You'll learn about big data, statistical analysis, and relational databases, as well as Jupyter Notebooks, RStudio, GitHub, and SQL, among other open-source tools and data science applications used by data scientists. You'll go through hands-on labs and projects to master the methods behind solving data science issues and apply what you've learned to real-world data sets.

Course Curriculum

1 Lesson 01 12-NOV
01:28:19
2 Lesson 02 15-NOV
01:33:33
3 Lesson 03 16-NOV
01:35:19
4 Lesson 04 17-NOV
01:21:37
5 Lesson 05 18-NOV
01:21:41
6 Lesson 06 22-NOV
01:30:22
7 Lesson 07 23-NOV
01:40:04
8 Lesson 08 24-NOV
01:35:06
9 Lesson 09 25-NOV
01:33:59
10 Lesson 10 26-NOV
01:23:09
11 Lesson 11 29-NOV
01:15:36
12 Lesson 12 30-NOV
01:15:14
13 Lesson 13 01-DEC
01:21:24
14 Lesson 14 02-DEC
01:36:56
15 Lesson 15 03-DEC
01:04:56
16 Lesson 16 06-DEC
01:21:01
17 Lesson 17 07-DEC
01:42:35
18 Lesson 18 08-Dec
01:34:36
19 Lesson 19 09-Dec
01:30:25
20 Lesson 20 10-DEC
01:22:36
21 Lesson 21 13-DEC
01:52:52
22 Lesson 22 14-DEC
01:45:02
23 Lesson 23 15-DEC
01:35:34
24 Lesson 24 16-DEC
01:20:29
25 Lesson 25 17-DEC
01:37:26
26 Lesson 26 20-DEC
01:34:32
27 Lesson 27 21-DEC
01:19:22
28 Lesson 28 22-DEC
01:04:01
29 Lesson 29 24-DEC
01:29:31
30 Lesson 30 27-DEC
01:13:11
31 Lesson 31 28-DEC
01:55:12
32 Lesson 32 29-DEC
01:33:12
33 Lesson 33 30-DEC
01:50:01
34 Lesson 34 31-DEC
01:32:42
35 Lesson 35 03-JAN
01:29:08
36 Lesson 36 04-JAN
01:21:42
37 Lesson 37 05-JAN
01:29:50
38 Lesson 38 06-JAN
01:15:14
39 Lesson 39 07-JAN
01:15:01
40 Lesson 40 10-JAN
01:41:15
41 Lesson 41 11-JAN
01:10:44
42 Lesson 42 12-JAN
00:57:38
43 Lesson 43 13-JAN
01:05:32
44 Lesson 44 14-JAN
01:10:40
45 Lesson 45 17-JAN
01:12:08
46 Lesson 46 18-JAN
01:08:16
47 Lesson 47 19-JAN
01:00:42
48 Lesson 48 21-JAN
00:48:36
49 Lesson 49 24-JAN
01:01:53
50 Lesson 50 25-JAN
01:28:42
51 Lesson 51 27-JAN
01:07:20
52 Lesson 52 28-JAN
00:56:08
53 Lesson 53 31-JAN 1
00:17:16
54 Lesson 54 31-JAN 2
00:50:03
55 Lesson 55 01-FEB
01:00:35
56 Lesson 56 02-FEB
01:03:15
57 Lesson 57 03-FEB
00:56:18
58 Lesson 58 07-FEB
01:08:22
59 Lesson 59 11-FEB
01:01:45
60 Lesson 60 14-FEB
01:14:53
61 Lesson 61 15-FEB
00:43:02
62 Lesson 62 21-FEB
00:50:24

Instructor

Saurabh Sharma

After completing his graduation in IT, Saurabh did his MBA from Amity Business School. Being a certified SAP consultant with domain experience of close to 13 years, Saurabh have a keen eye for data anomalies and visualization techniques.

4.8 Rating
5 Reviews
492 Students
16 Courses

Meghna Shrivastav

Ms. Meghna Shrivastav has completed her Bachelor’s Of Technology in Computer Science. During her curriculum she has earned various certifications dealing with analytics and critical thinking in communications.

Karamjeet Gulati

Mr. karamjeet is B.Tech from SRM University, with strong problem solving ability and good grasp in data science and machine learning.

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Batch 10

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