Effective Business Decisions using Data Analysis
In today’s dynamic business environment, data has become a critical asset for organizations seeking to gain a competitive edge
- Course Schedule
Classroom Sessions:
| Date | Venue | Price |
|---|
10 - 14 Jun 2025
Doha - Qatar
$ 5,950
- Course Description
INTRODUCTION
In today’s dynamic business environment, data has become a critical asset for organizations seeking to gain a competitive edge. The ability to analyze and interpret data is essential for making informed business decisions. This course, “Effective Business Decisions using Data Analysis,” is designed to equip professionals with the skills and knowledge needed to harness the power of data for strategic decision-making.
WHY IT MATTERS
Data serves as the foundation for evidence-based decision-making. In the business world, data provides insights into customer behavior, market trends, and internal operations. Analyzing data empowers organizations to identify opportunities, mitigate risks, and optimize processes, leading to improved performance and sustainable growth.
OBJECTIVES
- Understand the importance of data-driven decision-making in the business context.
- Develop proficiency in data analysis techniques and tools.
- Learn how to extract actionable insights from diverse datasets.
- Apply data analysis skills to solve real-world business challenges.
- Enhance decision-making capabilities through a systematic approach to data interpretation.
WHO SHOULD ATTEND ?
This course is ideal for:
- Business professionals aiming to enhance their decision-making skills.
- Managers and executives responsible for strategic planning.
- Data analysts and researchers seeking to apply their skills in a business context.
- Entrepreneurs and business owners looking to leverage data for business growth
- Course Outline
DAY 1
Foundations of Data Analysis
- Introduction to data analysis tools and techniques.
- Understanding different types of data and data sources.
- Basics of data cleaning and preprocessing.
DAY 2
Exploratory Data Analysis (EDA)
- Exploring and visualizing data to uncover patterns and trends.
- Descriptive statistics for summarizing data.
- Introduction to statistical concepts in data analysis.
DAY 3
Statistical Inference and Hypothesis Testing
- Understanding probability and statistical distributions.
- Conducting hypothesis tests to make informed decisions.
- Practical applications of statistical inference in business.
DAY 4
Predictive Analytics
- Introduction to predictive modeling.
- Building and evaluating predictive models.
- Application of machine learning algorithms for business predictions.
DAY 5
Decision Optimization and Business Strategy
- Utilizing data to optimize business decisions.
- Case studies and practical applications of data-driven decision-making.
- Developing a data-driven business strategy.
- Options & Brochure