Learn concepts of data science using Python with hands-on case studies

Created By Imurgence Learning
Last Updated Thu, 18-Apr-2019

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Description

This Imurgence course covers topics including basic statistics and linear and logistic regression.

- Upon successful completion of this course, the learner will be skilled in Python programming to perform data analytics on business data and apply data science concepts on data. This will give the learner ability to do predictive modelling using Linear Regression and Logistic Regression.

This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning.

One Year from the date of access.

The prerequisites for this course would include Python Programming. As a recommendation the learner is advised to complete the Certificate Program in Data Analytics using Python before taking up this course.

Certificate of Completion

Digital

The certificate is issued by Imurgence an autonomous institution and endorsed by SiCureMi an IIT Delhi incubated Analytics Firm.

Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion.

Curriculum For This Course

65 Lessons
7:50:46 Hours

Basic Statistics

15 Lessons
01:03:51 Hours

- Introduction To Statistics 1.1 00:01:22
- Introduction to Statistics 1.2 00:03:44
- Introduction to Statistics 1.3 00:06:20
- Introduction To Statistics 1.4 00:04:54
- Introduction To Statistics 1.5 00:03:51
- Introduction To Statistics 1.6 00:06:10
- Introduction To Statistics 1.7 00:07:11
- Introduction To Statistics 1.8 00:05:11
- Introduction To Statistics 1.9 00:02:11
- Introduction To Statistics 1.10 00:00:58
- Introduction To Statistics 1.11 00:04:38
- Introduction To Statistics 1.12 00:02:26
- Introduction To Statistics 1.13 00:04:42
- Introduction To Statistics 1.14 00:05:51
- Introduction To Statistics 1.15 00:04:22

Linear Regression

31 Lessons
03:52:48 Hours

- Linear Regression 2.1 00:05:01
- Linear Regression 2.2 00:03:27
- Linear Regression 2.3 00:02:42
- Linear Regression 2.4 00:04:56
- Linear Regression 2.5 00:08:09
- Linear Regression 2.6 00:01:56
- Linear Regression 2.7 00:03:04
- Linear Regression 2.8 00:02:39
- Linear Regression 2.9 00:06:42
- Linear Regression 2.10 00:05:45
- Linear Regression 2.11 00:04:32
- Linear Regression 2.12 00:08:20
- Linear Regression 2.13 00:04:50
- Simple Linear Regression 2.14 00:11:20
- Simple Linear Regression 2.15 00:04:58
- Simple Linear Regression 2.16 00:06:17
- Simple Linear Regression 2.17 00:09:17
- Multiple Linear Regression 2.18 00:15:45
- Multiple Linear Regression 2.19 00:06:32
- Multiple Linear Regression 2.20 00:06:45
- Multiple Linear Regression 2.21 00:08:29
- Multiple Linear Regression 2.22 00:02:50
- Multiple Linear Regression 2.23 00:05:00
- Multiple Linear Regression 2.24 00:08:18
- Multiple Linear Regression on Boston Dataset 2.25 00:12:58
- Multiple Linear Regression on Boston Dataset 2.26 00:13:06
- Multiple Linear Regression on Boston Dataset 2.27 00:09:14
- Multiple Linear Regression on Boston Dataset 2.28 00:09:51
- Multiple Linear Regression on Boston Dataset 2.29 00:08:35
- Multiple Linear Regression on Boston Dataset 2.30 00:19:18
- Multiple Linear Regression on Boston Dataset 2.31 00:12:12

Logistic Regression

19 Lessons
02:54:07 Hours

- Logistic Regression 3.1 00:04:51
- Logistic Regression 3.2 00:06:53
- Logistic Regression 3.3 00:03:46
- Logistic Regression 3.4 00:10:58
- Logistic Regression 3.5 00:10:01
- Logistic Regression 3.6 00:04:47
- Logistic Regression 3.7 00:07:58
- Logistic Regression 3.8 00:04:22
- Logistic Regression 3.9 00:06:29
- Logistic Regression 3.10 00:12:29
- Logistic Regression 3.11 00:10:54
- Logistic Regression 3.12 00:14:13
- Logistic Regression on Diabetes Dataset 3.13 00:11:11
- Logistic Regression on Diabetes Dataset 3.14 00:12:30
- Logistic Regression on Diabetes Dataset 3.15 00:07:49
- Logistic Regression on Diabetes Dataset 3.16 00:07:08
- Logistic Regression on Diabetes Dataset 3.17 00:16:16
- Logistic Regression on Diabetes Dataset 3.18 00:07:29
- Logistic Regression on Diabetes Dataset 3.19 00:14:03

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