ECONOMIC DATA MANAGEMENT AND ANALYTICS

INTRODUCTION

In today's world, good decision making relies on data and data analysis. This course helps participants develop the understanding that they will need to make informed decisions using data, and to communicate the results effectively. The course is an introduction to the essential concepts, tools and methods of statistics for participants in business, economics and similar disciplines. The focus is on concepts, reasoning, interpretation and thinking rather than computation, formulae and theory. Much of the work will require participants to write effectively and communicate their ideas with clarity.

The course covers two main branches of statistics: descriptive statistics and inferential statistics. Descriptive statistics includes collecting data and summarising and interpreting them through numerical and graphical techniques. Inferential statistics includes selecting and applying the correct statistical technique in order to make estimates or test claims about a population based on a sample. Topics covered may include descriptive statistics, correlation and simple regression, probability, point and interval estimation, hypothesis testing, multiple regression, time series analysis and index numbers. By the end of this course, participants should understand and know how to use statistics. Participants will also develop some understanding of the limitations of statistical inference and of the ethics of data analysis and statistics. Participants will work in small groups in this course. Software like SPSS, STATA,SAS,POWER BI,EXCEL,R AND PYTHON will be used as per the participants preferences

Course Objectives

Upon completing this Economic Analysis and Data Analytics course successfully, participants will be able to:

• Apply economic models to business problems
• Identify contexts and applications of data in specific industries and in organisational settings
• Implement conventional data analysis techniques and customising them for exceptional circumstances
• How to utilise different types of data in different scenarios
• Analyse data with advanced statistical and econometric techniques
• Learn and employ techniques of data analysis to form business strategies
• Apply computer programming and computing software to analysis of data
• Learn how to build a career in economics or data analysis

DURATION

• 10 Days