360Studies

Your Destination for Career Excellence in Bioscience, Statistics, and Data Science

data analysis

descriptive-statistics

Explore how to effectively use Descriptive statistics in your analysis

Descriptive statistics are used to summarize and describe the main features of a dataset. Depending on the type of data and the specific research or analysis objectives, different descriptive statistics can be employed. Here are some common descriptive statistics and where to use them: Mean The arithmetic average of a set of values. Use the […]

Explore how to effectively use Descriptive statistics in your analysis Read More »

highly-demanding-and-effective-data-analysis-skills

R & Python: Public Health Data Analysis

Are you passionate about leveraging data-driven insights to make a positive impact on global health? Do you thrive on using cutting-edge tools to address public health challenges?If yes, then this post is for YOU! In the fast-evolving world of public health, data analysis is a key driver for informed decision-making and policy formulation. 💡 R

R & Python: Public Health Data Analysis Read More »

understanding-the-difference-between-difference-in-differences-and-propensity-score-matching-a-comparative-overview

M&E Interview QnA (Interview Preparation)

Determination of Sample Size Factors to consider when determining the sample size for a randomized control trial: Several factors play a crucial role in determining the appropriate sample size for a randomized control trial (RCT): 1. Effect size: The magnitude of the effect or difference between treatment groups that the study aims to detect. A

M&E Interview QnA (Interview Preparation) Read More »

understanding-the-difference-between-difference-in-differences-and-propensity-score-matching-a-comparative-overview

M&E Interview Preparation Questions and Answers (Part-3)

Determination of Sample Size a) What factors should be considered when determining the sample size for a randomized control trial? b) How does the type of research question influence the sample size determination? c) Discuss the differences in sample size calculation for cross-sectional and longitudinal studies. d) What is the importance of power analysis in

M&E Interview Preparation Questions and Answers (Part-3) Read More »

understanding-the-difference-between-difference-in-differences-and-propensity-score-matching-a-comparative-overview

M&E Interview Questions and Answers (Interview Preparation) Part -2

Are you preparing for an interview in Monitoring and Evaluation (M&E)? We are excited to share some commonly asked M&E interview questions along with their answers to help you prepare and excel in your interview. Here are a few questions to get you started: Q: What is the difference between monitoring and evaluation? A: Monitoring and

M&E Interview Questions and Answers (Interview Preparation) Part -2 Read More »

descriptive-statistics

Unlocking the Power of creating Index in Data Analysis

Hello Data Analysts! Today, let’s delve into the fascinating world of indexing and explore why it holds tremendous significance in our data-driven era. Join me on this enlightening journey as we unravel what indexes are, why they are essential, and the meticulous process of creating them. Creating Index is the art of condensing complex data

Unlocking the Power of creating Index in Data Analysis Read More »

highly-demanding-and-effective-data-analysis-skills

Unlocking the Power of Charts: Enhancing Monitoring and Evaluation Reports with Visual Insights

As professionals involved in Monitoring and Evaluation (M&E), we understand the significance of effectively communicating the findings and outcomes of our work. One powerful way to convey complex data and insights is through charts and visualizations. These visual representations can help stakeholders grasp key information quickly and make informed decisions. So, let’s dive into some

Unlocking the Power of Charts: Enhancing Monitoring and Evaluation Reports with Visual Insights Read More »

adapting-to-the-changing-landscape-the-evolution-of-data-analyst-roles

Essential Statistical Tools for Monitoring and Evaluation

Monitoring and Evaluation (M&E) experts play a pivotal role in assessing the progress, impact, and effectiveness of programs, projects, or interventions. They utilize a range of statistical tools to collect, analyze, and interpret data, helping organizations make data-driven decisions. Here are some commonly used statistical tools in the field of M&E: 🔍 Descriptive Statistics: These

Essential Statistical Tools for Monitoring and Evaluation Read More »

Scroll to Top