Data Analyst – Five-day short Course
Data Analyst – 5-day short Course
Why Attend
Catalyze impactful change in your organization with BASA’s in-depth course on data analytics. Designed with a focus on practical application, this course aims to equip participants with a comprehensive understanding of the transformative role of data analytics in modern decision-making processes. Participants will learn to formulate data-driven questions that align with their organization’s objectives, identify suitable data sources, and analyze large datasets using advanced Excel techniques. In addition, participants in this course will acquire the skills needed to create compelling data visualizations that can be used to present data-driven insights.
Course Methodology
This course uses Excel for analyzing complex datasets. Participants will collaborate on analyzing a real-world business case and will be expected to present their data-driven insights in a simulated board meeting.
Course Objectives
By the end of the course, participants will be able to:
- Evaluate the role of data analytics in improving organizational decision making
- Formulate data-driven analytical questions tied to business objectives
- Identify suitable data sources and ensure the accuracy of collected information
- Analyze large datasets using advanced Excel techniques
- Create effective data visualizations and present data-driven insights to stakeholders
Target Audience
Analysts and professionals who are looking to build their data analysis skills as well as those who are interested in improving their decision making capabilities based on data-driven insights
Target Competencies
- Analytical thinking
- Sourcing data
- Validating data
- Structuring data
- Analyzing data
- Data visualization
Outline
Data Analytics and Organizational Decision Making
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- The objective of data analytics
- The role of the data analyst
- Data analytics as a set of activities
- Data analytics as a decision-making paradigm
- And as a set of practices and technologies
Framing the Data Analytics Approach
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- Identifying the real issue
- Establishing key metrics
- Understanding the problem
- Using logic trees
- Using the prioritization matrix
Sourcing Data
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- Data sources
- Gathering quantitative data
- Using qualitative data
- Benchmarking
- Conducting informational interviews
- Validating data
Analyzing Data
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- Preprocessing data
- Exploratory data analysis
- Statistical data analysis
- Prescriptive analysis
- Predictive analysis
- Introduction to machine learning
Communicating Data-Driven Results
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- Principles of data visualization
- Creating compelling data visualizations
- Understanding stakeholder needs
- Presenting data-driven insights
- Telling the story behind the data
Event Coordinated by BASA Training
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