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Description
Course Description
This Imurgence course is comprised of the following topics: Linear Regression, Logistic Regression, Decision tree, Random Forest, XGBoosting, Adaboost, Ensemble learning, support vector machines, clustering and artificial neural network.
- Upon successful completion of this course, the learner will be skilled in Using R Visual Analytics Tool to perform data analytics on business data.
Target Audience
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.
Access Time frame
Life Time Access
Prerequisites
No programming .It would be advisable to do the Certificate course in Data Science & Advanced Machine Learning using R for the Conceptual Part.
Type of Certification
Certificate of Completion
Format of Certification
Digital
Professional Association/Affiliation
The certificate is issued by Imurgence an autonomous institution and endorsed by SiCureMi an IIT Delhi incubated Analytics Firm
Method of Obtaining Certification
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
21 Lessons
2:50:16 Hours
Installation
3 Lessons
00:22:53 Hours
- Primer Installation of R and RStudio 1.1 00:10:38
- Base Visual Analytics Installation 1.2 00:06:35
- Understanding the Visual Analytics Interface 1.3 00:05:40
Data Ingestion
2 Lessons
00:12:09 Hours
- Data Ingestion in Visual Analytics 2.1 00:05:39
- Data Ingestion in Visual Analytics 2.2 00:06:30
Data Exploration
3 Lessons
00:25:58 Hours
- Explore Data in Visual Analytics 3.1 00:09:40
- Explore Data in Visual Analytics 3.2 00:04:16
- Explore Data in Visual Analytics 3.3 00:12:02
Data Transformation
2 Lessons
00:15:50 Hours
- Transform Data in Visual Analytics 4.1 00:02:50
- Transform Data in Visual Analytics 4.2 00:13:00
Modelling
11 Lessons
01:33:26 Hours
- Clustering in Visual Analytics 5.1 00:07:36
- Clustering in Visual Analytics 5.2 00:08:26
- Linear Regression in Visual Analytics 5.3 00:12:59
- Logistic Regression in Visual Analytics 5.4 00:07:41
- Logistic Regression in Visual Analytics 5.5 00:15:28
- Decision Tree in Visual Analytics 5.6 00:10:00
- Random Forest in Visual Analytics 5.7 00:06:18
- Boosted Trees in Visual Analytics 5.8 00:06:42
- SVM in Visual Analytics 5.9 00:07:09
- ANN in Visual Analytics 5.10 00:05:19
- Ensemble in Visual Analytics 5.11 00:05:48
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