Foundation Course on Machine Learning Driven Applied Business Analytics
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| Content Provider | Swayam Plus |
|---|---|
| Description | This foundational course offers an extensive overview of business analytics and machine learning, starting with a motivational example to highlight the practical significance of analytics. It delves into various types of business analytics, including exploratory, descriptive, predictive, and prescriptive analytics. The course covers essential data fundamentals, addressing data types, sources, and common challenges such as format inconsistencies, missing data, and outliers, along with the identification and management of duplicate and redundant data. It introduces the Zero Code framework, enabling participants to leverage data science and machine learning without needing to code. Additionally, the course demonstrates the application of regression analysis on a sample dataset and introduces unsupervised learning methods and their applications. This structured approach ensures a comprehensive understanding of analytics and machine learning concepts, reinforced with practical examples and tool usage. |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Data Science Result Interpretation Apply Models Machine Learning Analytics |
| Coordinator | Swayam Plus |
| Duration | -1 |
| Unique Identifier | f_zcl_01 |
| Instructor | Mr. Gaurav Gupta Mr. Vineet Srivastava |
| Description URL | https://zerocodecourses.com/course/Foundation-Course-on-Machine-Learning-Driven-Applied-Business-Analytics |
| Mode | Regular (Online) |
| Perks | Application of Regression model on the sample data using Zero Code’s regression model introduction to Un-supervised machine learning and models available in Zero code portal Understand the importance of data and the challenges associated Relate application areas of Data Science and Machine Learning Concepts and Types of Machine Learning Different types of Analytics and their application |
| Certification Type | Micro-credential Credit |
| Offered by | Zero Code Learning |
| Posted on | 2024-08-23 |
| Resource Type | Industrial Course |
| Subject Category | Information Technology & Services |
| Type | Elective |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
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| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
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