Vishnukanth K

Introduction (5 minutes)

• Welcome and Introduction
• Brief overview of the agenda
• Importance of entering the data field

Understanding the Data Industry (10 minutes)

• Overview of data roles (Data Analyst, Data Scientist, Data Engineer, etc.)
• Current market trends and demands
• Essential skills required for each role

Building a Strong Foundation (15 minutes)

• Key technical skills (Python, SQL, Excel, etc.)
• Important tools and technologies (Power BI, Tableau, etc.)
• How to gain relevant experience (Projects, Internships, Freelance work)

Crafting an Effective Resume & Portfolio (10 minutes)

• Tips for writing a standout resume
• Building a strong GitHub portfolio
• Showcasing projects and case studies effectively

Optimizing Your LinkedIn Profile (10 minutes)

• Profile optimization tips
• Networking strategies on LinkedIn
• Engaging with the data community

Acing the Interview Process (15 minutes)

• Common interview questions and how to prepare
• Technical and behavioral interview tips
• Mock interview demonstration

Q&A Session (15-20 minutes)

• Open floor for participant questions
• Personalized advice and insights

Conclusion and Next Steps (5 minutes)

• Recap of key takeaways
• Resources for further learning
• Closing remarks and thank you