ABOUT THE COURSE: This curriculum is developed to help participants appreciate data science and train them to perform data science activities Intended audience: B.Com, B.Sc. graduates, B.Tech/B.E graduates, management studies and working professionals Pre-requisites: Some exposure to high school mathematics and knowledge of programming basics (preferred) Learning Objectives: • Introduce Python as a programming language for data science • Introduce the statistical foundations required for data science • Introduce data visualization techniques • Introduce machine learning algorithms Learning Outcomes: • Describe a flow process for data science problems (Remembering) • Classify data science problems into standard typology (Comprehension) • Develop Python codes for data science solutions (Application) • Correlate results to the solution approach followed (Analysis) • Assess the solution approach (Evaluation) Components of the course: • Videos will be released on a weekly basis • Online live discussions addressing the participants’ doubts, will be held at regular intervals • Each module will have an assignment that must be completed to proceed with other modules • Participants can post their queries on a question and answer forum • Final exam: Participants will be assessed through a combination of command-based Python questions, theoretical, interpretation aspects of the course and solving practical capstone case study using Python

ABOUT THE COURSE: This curriculum is developed to help participants appreciate data science and train them to perform data science activities Pre-requisites: Some exposure to high school mathematics and knowledge of programming basics (preferred) Learning Objectives: 1. Introduce Python for advanced machine learning 2. Introduce cutting-edge machine learning algorithms 3. Introduce case studies to provide an application perspective for the techniques learnt Learning Outcomes: • Describe a flow process for data science problems (Remembering) • Classify data science problems into standard typology (Comprehension) • Develop Python codes for data science solutions (Application) • Correlate results to the solution approach followed (Analysis) • Assess the solution approach (Evaluation) Components of the course: • Videos will be released on a weekly basis • Online live discussions addressing the participants’ doubts, will be held at regular intervals • Each module will have an assignment that must be completed to proceed with other modules • Participants can post their queries on a question and answer forum • Final exam: Participants will be assessed through a combination of command-based Python questions, theoretical, interpretation aspects of the course and solving practical capstone case study using Python

This module will help participants to open their minds to the user of their intuition, guide them with methods of thinking of alternative ideas to address problems. Participants will be exposed to methodologies of conducting a structured brainstorming focused on specific problems and their solutions, creative problem solving and systems thinking. -Challenging assumptions -Structured and unstructured methodologies to ideation -Ideation methods -idea sorting and selection techniques

April 2021 | CII-IGBC’s Certification Course on Green Built Environment : 19 – 30 April 2021

This video explores the potential of the toy industry as a potential contributor to India's manufacturing segment.

This is the eighth edition of the India Skills Report, jointly published by CII and Wheebox. The theme of the India Skills Report 2021 is Post-COVID landscape of Talent Demand and Supply in India. This year the study aims to give insights into the skill gaps that exist in the employable population across India, specifically when the demand and supply of talent is hugely impacted due to the pandemic. The report captures the skill levels of the supply side and needs of the demand side in the talent supply chain. With separate studies conducted to understand each side, this report tries to bring in a more realistic and holistic view of skill and talent landscape in the country.

This report presents the view points of policy makers and industry experts in the areas of banking and finance, Foreign Direct Investment, infrastructure, Information Technology and others. Link https://www.cii.in/2021indiatheworld/

Industry 4.0 is gathering momentum globally, and many companies are looking to adopt technologies such as data analytics and Industrial Internet-of-Things (IIoT) to improve their manufacturing competitiveness. While the Industry 4.0 concept offers significant potential, the requirements for a successful transition go far beyond technology change. The Assessor program aims to develop Industry 4.0 assessment competency among the participants through practical exercises. The session is conducted in three phases to enable the participants to apply learning to their organizational setting. The faculty will guide participants for the effective assessment. The participants can independently do self-assessment after the intensive course of 5 days. The focus will be on assessment outcome for business excellence.

In this module participants will be exposed to the different methods of analyzing data, defining problems and identifying patterns and insights. - Opportunity identification - Defining Point of view - Problem framing and reframing techniques - Product design specifications & design criteria - Define Job to be done