Final Skill Chandeep and Sourabh Video Timestamps
1. Introduction and Career Background
Saurabh introduces himself and Chandip, sharing their professional backgrounds in banking, retail, and consulting, and explaining the mission of Goodly Insights in solving data challenges for companies.
2. Power BI and Market Misconceptions
Discussion on common misconceptions about Power BI learning, emphasizing that simply making charts is not enough and companies expect advanced data analysis skills beyond basic visualization.
3. Complexities of Business Data and Reporting
Explains the challenges of handling scattered data from multiple systems in businesses, using a transportation supply chain example to illustrate the need for integrated reporting and decision-making.
4. Essential Skills for Data Professionals
Identifies four foundational pillars for candidates: technical knowledge, communication skills, reasoning ability, and problem-solving skills, highlighting their importance in building a strong data analytics career.
5. The Role of Aptitude and Learning Intent
Discusses the importance of curiosity, intent, and grit in learning data skills deeply, contrasting learning driven by reward or pain versus genuine interest and continuous growth.
6. Effective Use of AI Tools in Learning
Covers how to use AI tools like ChatGPT effectively for reasoning and problem-solving rather than just seeking ready-made answers, stressing the importance of critical thinking and iterative learning.
7. Challenges in Data Analytics Careers and Hiring
Highlights the gap between interview preparation and real-world job performance, emphasizing the need for continuous skill development and practical problem-solving abilities beyond theoretical knowledge.
8. Closing Thoughts and Advice for Learners
Final reflections on the complexity of data roles, the importance of solid skill foundations, and encouragement to engage deeply with learning to meet real business challenges effectively.
[0:00] Introduction and Career Background Saurabh introduces himself and Chandip, sharing their professional backgrounds in banking, retail, and consulting, and explaining the mission of Goodly Insights in solving data challenges for companies. [10:00] Power BI and Market Misconceptions Discussion on common misconceptions about Power BI learning, emphasizing that simply making charts is not enough and companies expect advanced data analysis skills beyond basic visualization. [20:00] Complexities of Business Data and Reporting Explains the challenges of handling scattered data from multiple systems in businesses, using a transportation supply chain example to illustrate the need for integrated reporting and decision-making. [35:00] Essential Skills for Data Professionals Identifies four foundational pillars for candidates: technical knowledge, communication skills, reasoning ability, and problem-solving skills, highlighting their importance in building a strong data analytics career. [45:00] The Role of Aptitude and Learning Intent Discusses the importance of curiosity, intent, and grit in learning data skills deeply, contrasting learning driven by reward or pain versus genuine interest and continuous growth. [55:00] Effective Use of AI Tools in Learning Covers how to use AI tools like ChatGPT effectively for reasoning and problem-solving rather than just seeking ready-made answers, stressing the importance of critical thinking and iterative learning. [1:05:00] Challenges in Data Analytics Careers and Hiring Highlights the gap between interview preparation and real-world job performance, emphasizing the need for continuous skill development and practical problem-solving abilities beyond theoretical knowledge. [1:15:00] Closing Thoughts and Advice for Learners Final reflections on the complexity of data roles, the importance of solid skill foundations, and encouragement to engage deeply with learning to meet real business challenges effectively.
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