Discover The Power Of Economics Data Analysis
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Discover The Power Of Economics Data Analysis » PSM006

Discover The Power Of Economics Data Analysis

Course overview

Course overview

The fundamentals of data analysis cover universal patterns that appear in every organization and sector, but there are also certain unique considerations when performing data analysis.

Programming, data collection, and data management abilities are combined with economic reasoning and statistical analysis skills in this economic analysis and data analytics course.

The participants of this economic analysis and data analytics course will all have specialized occupations that call for proficiency in developing data systems as well as analytical and statistical skills.

While the technical portion of the course aims to give participants a solid foundation in understanding the fundamentals of data analytics programming, creating data management systems, and data mining, the economics segment of the course deepens participants’ understanding of economic theory, equips students with skills associated with advanced econometric analysis, and supports students in developing their communication skills.

What are the course’s main components in economic analysis and data analytics? These are the course’s three main focuses:

Participants can learn about business strategy decisions and strategic relationships in a constantly changing environment via the use of microeconomic analysis.

Corporate finance: which focuses on the learning and use of numerous analytical tools and quantitative case studies as well as the examination of a firm’s financial choices?

Which helps participants gain essential knowledge of econometrics, statistics, and the analysis and interpretation of vast amounts of data?

Course overview

Introduction

Economic Analysis is the process of analyzing how economic forces influence markets and the decisions of individuals and businesses. This type of analysis is used to make decisions about how to allocate resources, optimize investments, and create policies. It relies on data from a variety of sources, including macroeconomic and microeconomic data, as well as financial and government data. Data Analytics is the process of examining data to uncover patterns and trends, and to draw conclusions about the underlying factors that influence the data.

Data analytics is used to inform decision-making in areas such as marketing, finance, and operations. It relies on a variety of data sources, including customer surveys, customer behavior, and market research. Data analytics can be used to optimize processes, identify new opportunities, and create more efficient business models.

We are The Training Bee, a global training and education firm providing services in many countries. We are specialized in capacity building and talent development solutions for individuals and organizations, with our highly customized programs and training sessions.

Learning Objectives

Learning Objectives

Upon completing Discover the Power of Economics Data Analysis, participants will be able to:

  • Utilize economic models to solve business issues
  • Determine the contexts and uses of data in certain sectors and organizational settings.
  • Implement traditional data analysis methods while adapting them to unusual situations
  • How to use various data types in various contexts
  • Utilize cutting-edge statistical and economic methods to analyses data
  • Learn how to analyses data and use that information to create company plans.
Our Unique Training Methodology

Our Unique Training Methodology

This interactive course comprises the following training methods:

  • Social learning – Information and expertise exchanged amongst peers via computer-based technologies and interactive conversations including Blogging, instant messaging, and forums for debate in groups.
  • Mind mapping and brainstorming – A session will be carried out between participants to uncover unique ideas, thoughts, and opinions having a quality discussion.
  • Interactive sessions – The course will use informative lectures to introduce key concepts and theories related to the topic.
  • Presentations – Participants will be presented with multimedia tools such as videos and graphics to enhance learning. These will be delivered engagingly and interactively.
  • Group discussions – The course will incorporate group discussions and debates to encourage active participation and collaboration.
  • Case studies – Participants will be presented with realistic scenarios and case studies that demonstrate effective strategies related to the topic. These activities will encourage participants to think critically and apply their knowledge to real-life situations.
Training Medium

Training Medium

This Discover the Power of Economics Data Analysis training is designed in a way that it can be delivered face-to-face and virtually.

Course Duration

Course Duration

This training is versatile in its delivery. The training can be delivered as a full-fledged 40-hour training program or a 15- hours crash course covering 5 hours of content each day over 3 days

Pre-course Assessment

Pre-course Assessment

Before you enroll in this course all we wanted to know is your exact mindset and your way of thinking.
For that, we have designed this questionnaire attached below.

  • What skills do you think are most important to succeed in economic analysis and data analytics?
  • How do you think economic analysis and data analytics can help businesses make better decisions?
  • What do you know about economics and data analysis software?
  • What data sources do you think are important in making economic and data-driven decisions?
  • How do you think economic analysis and data analytics can be used to improve decision-making in the public sector?
Course Modules

Course Modules

This Discover the Power of Economics Data Analysis covers the following topics for understanding the essentials of the Agile Workplace:

 

Module 1 – THE ELEMENTS

  • Economic analysis basics
  • Data sources for the economy
  • Monetary information
  • Data about the macroeconomic
  • Techniques of economic forecasting

Module 2 – THE ECONOMIC CYCLE

  • Case study on real estate trends in predicting
  • Coefficients Significance
  • Standard deviation

Module 3 – GUESSING ECONOMIC TENDENCIES

  • Regressions with fixed effects
  • Biased by omitted variables
  • Binary result
  • Regressions in binary
  • The Legit model

Module 4 – PUT ECONOMIC FORECASTS TO USE

  • The knowledge of economic production
  • Rate of long-term capital gains
  • Forecast precision
  • Situational analysis

Module 5 – MODERATE ECONOMIC ANALYSIS

  • Having knowledge of microeconomic analysis
  • A company’s strategic choices
  • Organization of the industrial and market

Module 6 – OFFICE FINANCE

  • Recognizing corporate finance’s importance in economic research
  • Evaluation of a company’s financial choices
  • Economical use of financial models

Module 7 – DOCUMENT ANALYSIS

  • Analyzing Data in Context
  • Data Analysis in the Workplace
  • Analysis of Data for Education
  • Analysis of Data in Healthcare

Module 8 – A REAL-WORLD ANALYSIS OF DATA

  • Analytical problems in your mind
  • Business models that are conceptual
  • Value Chain for Information-Action
Post-course Assessment

Post-course Assessment

Participants need to complete an assessment post-course completion so our mentors will get to know their understanding of the course. A mentor will also have interrogative conversations with participants and provide valuable feedback.

  • What are the most important skills to have when using data analytics in economics?
  • How can data analytics help us understand the economy better?
  • What economic trends can be identified with data analytics?
  • How does data analytics inform economic policy decisions?
  • What are the most common tools and techniques used for economic data analysis?
  • How can data analytics be used to identify macroeconomic trends?
Lessons Learned

Lessons Learned

The lesson learned from Economic Analysis and Data Analytics is that data analysis can be used to inform decision-making and drive economic growth. Data analysis can help identify areas of opportunity, uncover hidden trends, and provide insights for strategic planning. This can help businesses and governments make better decisions and drive economic growth. Additionally, data analysis can be used to improve the quality of services, identify potential risks, and improve customer satisfaction. Ultimately, data analysis and economic analysis are essential tools for creating a successful and sustainable economy.

“Utilizing economic research and data analytics may help you make wiser decisions, which is advantageous to your company.”

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