Business Analytics CLUB presentation guide

1. Business Analytics Club PGDM Batch: 2022-2024

2. Club Name

3. Agenda Objectives Workshops Activities

4. Objectives

5. Obje ctiv es : 1. Share Analytical Knowledge: Host routine meetings for sharing insights on diverse analytical subjects. Promote interactive sessions, industry collaboration for practical insights and knowledge sharing. 2. Stress on Importance of Analytics: Organize talks showcasing analytics' role in modern business environments. Highlight achievements of companies leveraging analytics for informed decision-making and success. Emphasize the role of analytics in enhancing business competitiveness and innovation.

6. 3. Educating on Analytical Tools and Usage: Conduct workshops introducing industry-standard analytical tools, software, and platforms to members. Showcase tool use in diverse areas like marketing, finance, and operations. 4. Analyze Students' Performance: Utilize analytics to evaluate academic progress, identifying strengths and enhancements. Offer tailored advice using analysis to aid members' academic achievements.

7. 5. Enabling Students from Other Branches: Expand membership to diverse students for a richer analytical knowledge pool. Provide specialized sessions for non-analytics students to grasp business analytics basics. 6. Promoting Awareness of Business Intelligence: Organize sessions exploring business intelligence, methods, and decision impact through webinars. Present actual cases of business growth and innovation through leveraging intelligence.

8. 7. Introduction to Common Analytics Platforms: Conduct practical sessions introducing Tableau, Power BI, Python for analytics. Enable members to interact with real data, crafting impactful visualizations. 8 . Practical Exposure: Partner with businesses for internships, letting members apply analytics practically. Motivate engagement in data contests for hands-on practical learning experiences.

9. 9. Conduct Analytical Hands-On Project Sessions: Host sessions leading members through complete analytical project processes step-by-step. Offer mentorship for hands-on projects, boosting problem-solving and project management. 10. Applying Theoretical Knowledge: Create engaging sessions linking theory and practical application seamlessly. Promote applying learned techniques in club activities, projects, and academics.

10. Wo rks hops Workshop on Statistics Workshop on Power BI Workshop on Excel: Graphs, Hypothesis Testing, Probability Distribution Workshop on Prompt Engineering Workshop on AI Tools

11. Wo rksho ps Workshop on Statistics In this workshop, participants will delve into the fundamentals of statistics, a crucial aspect of business analytics. They will learn about key concepts such as measures of central tendency, variability, correlation, and regression analysis. Practical examples and case studies can be used to demonstrate how statistical techniques are applied in analyzing data to derive meaningful insights and make informed decisions. Cloud-based opportunities Power BI is a powerful data visualization tool that enables users to create interactive and insightful dashboards and reports. In this workshop, participants will be introduced to Power BI's interface, data connections, data transformation, and visualization capabilities. They will learn how to import data from various sources, create visually appealing charts and graphs, and share their findings effectively with others.

12. Workshop on Excel: Graphs, Hypothesis Testing, Probability Distribution This workshop will focus on enhancing participants' proficiency in Microsoft Excel, a versatile tool extensively used for data analysis. The workshop can cover: Graphs: Participants will learn to create different types of graphs such as bar charts, line graphs, scatter plots, and histograms to visually represent data patterns. Hypothesis Testing: Participants will understand the principles of hypothesis testing, including setting up hypotheses, selecting significance levels, and interpreting p-values. Practical exercises can be used to demonstrate hypothesis testing in action. - Probability Distribution: Participants will explore various probability distributions like normal, binomial, and exponential distributions. They will learn to calculate probabilities and understand the implications of different distributions in real-world scenarios.

13. Workshop on Prompt Engineering Prompt engineering involves formulating effective questions and prompts for data analysis. In this workshop, participants will learn the art of crafting relevant and insightful prompts to extract meaningful information from data. They will understand how the quality of questions impacts the analysis process and practice generating prompts for different analytical objectives. Workshop on AI Tools This workshop will introduce participants to the world of artificial intelligence and its practical applications in business analytics. It can cover topics such as: Machine Learning Basics: Participants will gain an understanding of fundamental machine learning concepts, including supervised and unsupervised learning, classification, regression, and clustering. AI Tools and Platforms: Participants will explore popular AI tools and platforms like TensorFlow, scikit-learn, and Microsoft Azure Machine Learning. They will learn how to build simple models and understand how AI can automate decision-making processes.

14. Ac tiviti es 1. Look Deep Into It (Interpretation): Participants are presented with a dataset, graph, or visualization, and they need to analyze it deeply to draw meaningful insights. This activity hones their skills in identifying trends, outliers, patterns, and correlations within the data. It encourages critical thinking and the ability to extract valuable information from complex datasets. 2 . Storytelling (Dashboards): In this activity, participants create a data-driven "story" using interactive dashboards. They use tools like Power BI or Tableau to visualize data in a way that conveys a narrative. This enhances their ability to communicate insights effectively, turning raw data into compelling stories that stakeholders can easily understand. 3. Quiz: The quiz can cover a wide range of topics related to business analytics, statistics, tools, and concepts. Quizzes test participants' knowledge and understanding of key principles, promoting healthy competition and reinforcing learning.

15. 4. Analyze the Sequence: This activity involves presenting participants with a sequence of data points, events, or actions. Participants analyze the sequence to identify patterns, trends, or anomalies, fostering their ability to recognize and interpret patterns in data. 5. Match the Following: 6. Jumbled Data: Participants are given pairs of related terms, concepts, or definitions that they need to correctly match. This activity reinforces their understanding of terminology and concepts associated with business analytics and helps consolidate their knowledge. Participants are provided with a set of disorganized data points or information. They need to unscramble and organize the data logically, mimicking the real-world task of cleaning and preparing data for analysis. Acti vitie s

16. 7. Crossword : A crossword puzzle incorporates key terms, concepts, and tools related to business analytics. Solving the crossword helps participants reinforce their vocabulary and familiarity with analytical concepts. 8. W ebpage Designing: 9. D ecode the Code : Participants design a webpage that showcases a data analysis project or an analytical concept. This activity encourages creativity in presenting data-driven insights through a visually appealing and user-friendly webpage. Participants are given a coding challenge related to data analysis, visualization, or statistics. They decode the challenge by writing code snippets in languages like Python or R, enhancing their coding skills and problem-solving abilities. Ac tivit ies

17. 10 . Analytical Headphones: In this activity, participants listen to audio clips or scenarios related to business decisions or trends. They analyze the information and draw insights, highlighting their ability to extract meaningful information from unconventional sources. 11. Guess Not to Miss: This activity involves presenting participants with incomplete data or trends and challenging them to predict the missing elements based on their analytical skills. It sharpens their ability to make informed guesses and predictions. Act iviti es

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