Think In Data: A Beginner's Guide To Data Analysis

[charlie]

[center]
Think In Data: A Beginner's Guide To Data Analysis
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 [/center]

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
Description
Think in Data: A Beginner's Guide to Data Analysis is a clear and confidence-building course designed for anyone who wants to understand data analysis without coding, technical complexity, or math fear.
Many beginners feel overwhelmed by data because most courses focus heavily on tools and programming from day one. This course takes a different approach. It focuses on data thinking first-helping you understand what data really is, how analysts think, and how data is used in real-world decision-making.
You'll start by building comfort and clarity around data basics. Then, step by step, you'll learn how data moves from raw information to insights and decisions. You'll understand patterns, trends, and outliers in a simple and practical way, without formulas or calculations. You'll also learn how analysts ask the right questions before looking at data, which is one of the most important skills in analytics.
The course introduces tools like Excel, SQL, dashboards, and visualization platforms only at a conceptual level, so you understand where they fit-without requiring installation or usage. You'll also explore how insights are communicated using charts and dashboards, and why ethical and responsible data use matters in real life.
Through real-world case studies across industries such as healthcare, business, HR, banking, and education, you'll see how data analysis works outside the classroom. Finally, the course helps you understand data-related career paths and plan your next learning steps with confidence.
This course is ideal for beginners, students, freshers, non-technical professionals, managers, and anyone curious about data. By the end, you won't just know data concepts-you'll think in data.
Who this course is for
■ Complete beginners who are new to data and analytics
■ Students and freshers who want a strong conceptual foundation
■ Working professionals in healthcare, HR, business, operations, finance, or administration
■ Managers and team leads who work with data but want better clarity for decision-making
■ Career switchers exploring data-related roles before learning tools
■ Non-IT professionals who want to become comfortable with data concepts
■ Anyone curious about how data is used in real life to support decisions

https://nitroflare.com/view/F973ADB1A90F....part2.rar
https://nitroflare.com/view/56D379CFA872....part1.rar