| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction, Section 1 and Section 2 | |||
| 1. Section-1-2.pdf | 9.6 MB | ||
| 1. Section-1-Study-Material.pdf | 492 KB | ||
| 1. Section-2-Study-Material.pdf | 613.4 KB | ||
| 1. Welcome & Course Orientation and Think Like a Data Analyst.mp4 | 166.4 MB | ||
| 2 - Section 3 & 4 | |||
| 2. Section-3-4.pdf | 10.8 MB | ||
| 2. Section-3-Study-Material.pdf | 621.7 KB | ||
| 2. Section-4-Study-Material.pdf | 620.9 KB | ||
| 2. Understanding Data and The Data Journey — From Raw Data to Decisions.mp4 | 171 MB | ||
| 3 - Section 5 & 6 | |||
| 3. Section-5-6.pdf | 9.3 MB | ||
| 3. Section-5-Study-Material.pdf | 719.3 KB | ||
| 3. Section-6-Study-Material.pdf | 560.1 KB | ||
| 3. Understanding Patterns & Trends and Tools in Data Analysis.mp4 | 156.9 MB | ||
| 4 - Section 7 & 8 | |||
| 4. Asking the Right Questions and Visual Thinking & Dashboards.mp4 | 153.1 MB | ||
| 4. Section-7-8.pdf | 9.4 MB | ||
| 4. Section-7-Study-Material.pdf | 651.4 KB | ||
| 4. Section-8-Study-Material.pdf | 535.1 KB | ||
| 5 - Section 9 & 10 | |||
| 5. Ethical & Responsible Data Use and Real-World Case Studies.mp4 | 150.5 MB | ||
| 5. Section-10-Study-Material.pdf | 575 KB | ||
| 5. Section-9-10.pdf | 9.3 MB | ||
| 5. Section-9-Study-Material.pdf | 635.3 KB | ||
| 6 - Section 11 & 12 | |||
| 6. Careers & Next Steps in Data and Recap.mp4 | 154.5 MB | ||
| 6. Section-11-12.pdf | 8.7 MB | ||
| 6. Section-11-Study-Material.pdf | 539.7 KB | ||
| 6. Section-12-Study-Material.pdf | 563.4 KB |
Think in Data: A Beginner’s Guide to Data Analysis
https://WebToolTip.com
Published 1/2026
Created by Akshay Desai
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 6 Lectures ( 58m ) | Size: 1 GB
From data thinking to real-world decisions—concepts, cases, ethics, and tool awareness
What you'll learn
✓ Understand what data analysis really means in real-world situations
✓ Think logically and calmly like a data analyst
✓ Explain how data moves from raw facts to insights and decisions
✓ Identify patterns, trends, and unusual data points without math fear
✓ Ask the right questions before analyzing any data
✓ Understand how data is visualized using charts and dashboards
✓ Interpret dashboards and reports to support decision-making
✓ Recognize the role of common data tools and where they fit (no coding)
✓ Understand ethical and responsible use of data, including bias and privacy
✓ Apply data thinking to real-world case studies across industries
✓ Communicate data insights clearly in everyday conversations
✓ Build confidence to continue learning tools like Excel, SQL, or dashboards
✓ Develop a strong foundation for data-related roles and career paths
Requirements
● No prior experience in data analysis is required
● No coding or programming knowledge is needed
● No technical or IT background is required
● No advanced math or statistics knowledge is needed
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