Skill-Building Training & Workshops (8th July 2024 to 16 Nov 2024

Partnership Programs - Short-and-Long-term

Strategic Leadership and Innovation
- Description: Explore strategies for leading innovation within organizations and learn how to foster a culture of creativity and adaptability.
- Course Outline: Introduction to strategic leadership, fostering innovation, managing change, strategic decision-making, case studies on innovative companies.
Organizational Behavior and Team Dynamics
- Description: Examine the psychological aspects of organizations and delve into effective team dynamics and leadership styles.
- Course Outline: Individual behavior in organizations, group dynamics, leadership theories, conflict resolution, team building exercises.
Project Management Fundamentals
- Description: Learn the fundamentals of project management, including planning, execution, and monitoring, to ensure successful project completion.
- Course Outline: Project initiation, planning, execution, monitoring and control, project closure, case studies on successful projects.
Change Management and Organizational Development
- Description: Understand the process of organizational change and learn strategies to manage and lead change effectively.
- Course Outline: Understanding change, change management models, stakeholder analysis, communication strategies, organizational development interventions.
Strategic Human Resource Management
- Description: Explore the role of HR in strategic planning and learn how to align HR practices with organizational goals.
- Course Outline: Strategic HR planning, recruitment and selection, performance management, employee development, HR metrics and analytics.

Analytics

Data Analytics for Business
- Description: Introduces techniques for analyzing data to drive business decision-making and improve operational efficiency.
- Course Outline: Data collection and preprocessing, exploratory data analysis, predictive modeling, data visualization, case studies.
Big Data and Machine Learning
- Description: Dive into big data technologies and machine learning algorithms to extract insights and create predictive models.
- Course Outline: Introduction to big data, machine learning fundamentals, regression, classification, clustering, deep learning.
Data Visualization and Storytelling
- Description: Learn to effectively communicate insights from data through visualization techniques and compelling storytelling.
- Course Outline: Principles of data visualization, tools and techniques, storytelling with data, interactive dashboards.
Text Mining and Natural Language Processing
- Description: Explore techniques for analyzing and extracting insights from unstructured text data using natural language processing.
- Course Outline: Text preprocessing, sentiment analysis, topic modeling, named entity recognition, text classification.
Time Series Analysis and Forecasting
- Description: Understand time series data and learn techniques for forecasting future values using statistical methods and machine learning.
- Course Outline: Time series components, forecasting methods, ARIMA models, seasonality and trend analysis, evaluation metrics.
  Construction Management:
  1. Introduction to Construction Management: Learn the fundamentals of construction management, including project planning, scheduling, budgeting, and risk management.
  2. Construction Project Planning and Execution: Explore techniques for effective project planning and execution in construction, covering scheduling, resource allocation, and project monitoring.
  3. Construction Cost Estimation and Budgeting: Master the art of cost estimation and budgeting in construction projects, including techniques for accurate cost forecasting and budget management.
  4. Construction Contracts and Legal Aspects: Understand the legal framework governing construction contracts and learn how to navigate legal issues in construction management.
  5. Construction Quality Management: Learn quality management principles and techniques specific to construction projects, including quality assurance, quality control, and continuous improvement.
- Future Agriculture:
  1. Introduction to Future Agriculture: Explore the latest trends and technologies shaping the future of agriculture, including precision farming, vertical farming, and sustainable agricultural practices.
  2. Agriculture Techniques: Learn how precision agriculture technologies such as GPS, drones, and sensors are revolutionizing farming practices for improved efficiency and sustainability.
  3. Vertical Farming and Urban Agriculture: Discover the concept of vertical farming and its potential to revolutionize urban agriculture, addressing food security and sustainability challenges in urban areas.
  4. Sustainable Crop Management: Explore sustainable crop management practices, including organic farming, agroecology, and integrated pest management, for resilient and environmentally-friendly agriculture.
  5. Climate-smart Agriculture: Understand the principles of climate-smart agriculture and learn how to adapt farming practices to mitigate climate change impacts and build resilience.
- Future Marketing:
  1. Introduction to Future Marketing: Explore emerging trends and technologies shaping the future of marketing, including AI, automation, influencer marketing, and immersive experiences.
  2. AI in Marketing: Learn how artificial intelligence is transforming marketing strategies and operations, from personalized recommendations to predictive analytics and chat bots.
  3. Immersive Marketing Experiences: Discover how immersive technologies such as virtual reality (VR) and augmented reality (AR) are revolutionizing marketing campaigns and customer engagement.
  4. Influencer Marketing Strategies: Master the art of influencer marketing, including identifying influencers, building partnerships, and measuring campaign effectiveness for maximum impact.
  5. Data-driven Marketing Decision Making: Understand the importance of data analytics in marketing decision-making and learn how to leverage data insights for targeted and effective marketing strategies.
- Future Advertising:
  1. Introduction to Future Advertising: Explore the evolving landscape of advertising, including digital advertising trends, content marketing, native advertising, and programmatic advertising.
  2. Digital Advertising Strategies: Learn how to develop effective digital advertising strategies across various channels, including social media, search engines, display ads, and video platforms.
  3. Content Marketing Techniques: Master content marketing techniques for creating engaging and valuable content that attracts and retains audiences, driving brand awareness and conversions.
  4. Native Advertising Best Practices: Understand the principles of native advertising and learn how to seamlessly integrate branded content into editorial environments for authentic and effective storytelling.
  5. Programmatic Advertising Fundamentals: Explore programmatic advertising concepts and platforms, including real-time bidding (RTB), ad exchanges, and audience targeting strategies for optimized ad placements.
- Analytics for Construction Modelling:
  1. Introduction to Construction Modelling Analytics: Learn the basics of analytics applied to construction modelling, including data collection, analysis, and visualization techniques for improved decision-making.
  2. Building Information Modeling (BIM) Analytics: Explore how analytics can enhance building information modeling (BIM) processes, including clash detection, quantity takeoff, and construction sequencing optimization.
  3. Predictive Analytics for Construction: Discover how predictive analytics techniques such as regression analysis and machine learning can be applied to construction data for forecasting project outcomes and mitigating risks.
  4. Risk Analytics in Construction Projects: Learn how to use analytics to identify, assess, and mitigate risks in construction projects, including cost overruns, schedule delays, and safety hazards.
  5. Performance Analytics for Construction Management: Understand how performance analytics can improve construction management practices, including monitoring project progress, tracking key performance indicators (KPIs), and optimizing resource allocation.

Finance

Corporate Finance Fundamentals
- Description: Provides an overview of corporate finance principles including capital budgeting, capital structure, and risk management.
- Course Outline: Financial statements analysis, time value of money, capital budgeting techniques, cost of capital, risk and return.
Investment Analysis and Portfolio Management
- Description: Explore investment strategies, portfolio construction, and risk management techniques for maximizing returns.
- Course Outline: Security analysis, portfolio theory, asset allocation, portfolio performance evaluation, alternative investments.
Financial Modeling and Valuation
- Description: Learn to build financial models and conduct valuation analysis for businesses and investment opportunities.
- Course Outline: Financial modeling techniques, forecasting methods, discounted cash flow (DCF) analysis, valuation multiples.
Derivatives and Risk Management
- Description: Understand derivatives markets and learn how to use derivatives for hedging and managing financial risk.
- Course Outline: Futures and forwards, options, swaps, hedging strategies, risk management techniques.
Behavioral Finance and Market Psychology
- Description: Explore the psychological factors influencing financial decision-making and their impact on markets.
- Course Outline: Behavioral biases, investor sentiment, market anomalies, herd behavior, implications for investment strategies.

Econometrics

Introduction to Econometrics
- Description: Introduces basic econometric techniques for analyzing economic data and testing economic theories.
- Course Outline: Linear regression, hypothesis testing, multicollinearity, heteroskedasticity, time series analysis.
Panel Data Analysis
- Description: Learn techniques for analyzing panel data, which combines time series and cross-sectional data, commonly used in economics and social sciences.
- Course Outline: Panel data models, fixed effects vs. random effects models, dynamic panel data models, applications in research.
Causal Inference and Program Evaluation
- Description: Explore methods for estimating causal effects and evaluating the impact of policies and interventions using observational data.
- Course Outline: Counterfactual framework, difference-in-differences, matching methods, instrumental variables, regression discontinuity design.
Time Series Econometrics
- Description: Dive deeper into time series analysis techniques, focusing on modeling and forecasting economic and financial time series data.
- Course Outline: ARIMA models, VAR models, cointegration, ARCH/GARCH models, forecasting with time series data.
Applied Microeconometrics
- Description: Apply microeconometric methods to real-world data to analyze individual and firm-level behavior and test economic theories.
- Course Outline: Microeconometric models, discrete choice models, limited dependent variables, panel data applications.

Entrepreneurship

Startup Fundamentals
- Description: Provides an overview of the startup ecosystem, from ideation to execution, and covers key concepts for launching and growing a startup.
- Course Outline: Idea generation, market validation, business model canvas, lean startup methodology, pitching.
Venture Capital and Private Equity
- Description: Learn about the venture capital and private equity industry, including fundraising, deal structuring, and portfolio management.
- Course Outline: Venture capital vs. private equity, fundraising process, term sheets, due diligence, portfolio strategies.
Social Entrepreneurship
- Description: Explore how entrepreneurship can be used as a tool for social impact and learn about business models for addressing social and environmental challenges.
- Course Outline: Introduction to social entrepreneurship, impact measurement, sustainable business models, scaling social ventures.
Innovation and Design Thinking
- Description: Introduces design thinking methodology for fostering innovation and problem-solving in entrepreneurial contexts.
- Course Outline: Design thinking process, empathize-define-ideate-prototype-test framework, design challenges, case studies.
Technology Commercialization
- Description: Learn strategies for commercializing technology innovations, from research and development to market entry and growth.
- Course Outline: Intellectual property protection, technology transfer, market analysis, product development, go-to-market strategies.

Decision-Making

Rational Decision-Making
- Description: Explores the principles of rational decision-making and decision analysis techniques for making optimal choices.
- Course Outline: Decision-making under certainty, risk, and uncertainty, decision trees, utility theory, expected value.
Behavioral Decision-Making
- Description: Examines how cognitive biases and heuristics influence decision-making and explores strategies for improving decision quality.
- Course Outline: Cognitive biases, prospect theory, bounded rationality, decision traps, debiasing techniques.
Ethical Decision-Making
- Description: Discusses ethical considerations in decision-making and explores frameworks for evaluating ethical dilemmas in business and society.
- Course Outline: Ethical theories, ethical decision-making frameworks, corporate social responsibility, case studies.
Data-Driven Decision-Making
- Description: Introduces techniques for using data to inform decision-making processes and improve decision outcomes.
- Course Outline: Data-driven decision-making process, data collection and analysis, decision support systems, A/B testing.
Strategic Decision-Making
- Description: Explores the process of making strategic decisions in complex and uncertain environments and evaluates decision-making models.
- Course Outline: Strategic decision-making process, SWOT analysis, scenario planning, game theory, strategic alignment.