Part 1- Data Analytics Overview

In this video, I walk you through the entire data science process with a focus on applying these concepts to real-world research. We dive into questionnaire design principles, ensuring you can create surveys that capture accurate, meaningful data while maximizing response rates.

What You’ll Learn:

Introduction to the Data Science Process:

How to frame a research problem.
Collecting, cleaning, and preparing data for analysis.
Exploratory Data Analysis (EDA) techniques.
Deriving insights and actionable recommendations from data.
Questionnaire Design Best Practices:

Principles for crafting effective survey questions.
Balancing open and closed-ended questions.
Tips to maximize response rates and maintain clarity in your surveys.
Designing questions that minimize bias and ensure reliability.
Real-World Example: Impact of Inflation on Standard of Living in Nigeria:

A breakdown of how we developed a questionnaire to assess inflation's impact.
Key considerations for socio-economic research.
Best practices for analyzing both quantitative and qualitative data in Excel.
By the end of this video, you’ll have a comprehensive understanding of how to tackle research using data science techniques and how to design effective surveys that yield high-quality, actionable data.
Resources:

Questionnaire Design Principles - Part 1- https://youtu.be/uqD1KAawvhI?si=LXkeXqju0mj2ZlOS

Questionnaire Design Principles- Part 2- https://youtu.be/U7LmazR7pYQ?si=EjL3Ilgduwk2EDEo

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Видео Part 1- Data Analytics Overview канала VICTOR CHIDI