Course Overview

Immerse yourself in the world of quantitative data analysis with our comprehensive 3-day course. This program equips participants with essential analytical skills and tools for their day-to-day job. Throughout the course, attendees will learn how to clean, organize, and analyze data using spreadsheets. They will also gain proficiency in data visualization using Tableau, creating impactful dashboards and presentations to convey data insights effectively. The course delves into designing experiments and hypothesis testing, empowering participants to make data-driven decisions confidently. Additionally, attendees will explore descriptive statistics and visual analyses to describe datasets and interpret findings visually. Understanding the importance of big data, participants will be introduced to relevant tools and techniques to handle large datasets and extract meaningful insights. To ensure ethical decision-making, the course also addresses organizational and behavioral biases and applies legal and ethical concepts to real-world problems.

Course Objectives

By the end of the course, participants will be able to:

• Develop Analytical Skills: Acquire a comprehensive set of analytical skills, including data cleaning, organization, and analysis, essential for success as a junior or associate data analyst.
• Master Data Tools: Gain proficiency in utilizing key data tools such as spreadsheets and tools like Tableau to clean, visualize, and analyze datasets effectively.
• Data Visualization and Presentation: Learn how to create impactful data visualizations and dashboards using Tableau, enabling participants to present data insights in a compelling and accessible manner.
• Design Experiments and Hypothesis Testing: Understand the fundamentals of experiment design and hypothesis testing to make data-driven decisions confidently.
• Descriptive Statistics and Visual Analyses: Explore descriptive statistical methods and visual representations to effectively communicate and interpret data findings.
• Big Data Tools and Techniques: Gain an introduction to big data concepts and relevant tools for handling and analyzing large datasets.
• Address Biases and Ethical Considerations: Identify and mitigate organizational and behavioral biases that influence decision-making, while applying legal and ethical principles to data analysis and problem-solving.
• Transform Data into Strategic Assets: Equip participants with the knowlee and skills to turn data into a strategic asset that drives informed decisions and better business outcomes.

Course Contents

Module (01) Introduction to Quantitative Data Analysis

• Understanding the role of a junior or associate data analyst in day-to-day operations
• Overview of key analytical skills and the importance of data-driven decision-making

Module (02) Data Cleaning and Organization

• Techniques for cleaning and organizing data to prepare it for analysis
• Practical exercises using spreadsheets to manipulate and structure data effectively

Module (03) Data Visualization and Presentation

• The art of data visualization and its impact on conveying insights
• Hands-on experience with Tableau to create impactful visualizations and dashboards

Module (04) Descriptive Statistics and Visual Analyses

• Analyzing and describing datasets using descriptive statistical methods
• Creating visual representations of data to communicate findings effectively

 Module (05) Designing Experiments and Hypothesis Testing

• Principles of experiment design for data-driven decision-making
• Introduction to hypothesis testing and its application in analyzing data

Module (06) Big Data Concepts and Tools

• Understanding the fundamentals of big data and its significance in modern analytics
• Exploring relevant tools and techniques for handling and analyzing large datasets

Module (07) Addressing Biases and Ethical Considerations

• Identifying organizational and behavioral biases that influence decision-making
• Applying legal and ethical principles to data analysis and problem-solving

Module (08) Transforming Data into Strategic Assets

• Strategies for leveraging data as a strategic asset to drive better business outcomes
• Real-world case studies and peer interactions to reinforce concepts