Duration 5 weeks

Commitment 2 hrs/week, Online

Levels

Start Date 2025-08-18

Access Fee Free

Introduction to Data Analysis Using SQL, Tableua, Excel and SQL

Data Analysis Using SQL, Tableua, Excel and SQL is help users navigate data through data processing, data statistics, data visualization, and engineering.

What you'll learn

What is it?
    • Data analysis: is the process of systematically using statistical and/or logical techniques to describe, illustrate, and evaluate data. 
       
    • It helps organizations understand their performance, customer behavior, market trends, and more. 
       
  • It involves taking raw data and making sense of it, such as finding patterns, trends, and insights. 
     
  • Data analytics: is a broader term that includes the entire process of data collection, storage, analysis, and interpretation, often involving various techniques like AI, machine learning, and natural language processing. 
     
Why is it important?
  • Decision-making:
    Data analysis provides the evidence needed for informed decisions, helping businesses, organizations, and individuals make choices based on data rather than intuition. 
     
  • Problem-solving:
    It can be used to identify and address specific problems, by pinpointing root causes and potential solutions. 
     
  • Predicting trends:
    Data analysis can help predict future outcomes, allowing for proactive planning and preparation. 
     
  • Operational efficiency:
    By uncovering insights, businesses can optimize their processes, improve efficiency, and reduce costs. 

Course Outline

Fundamentals on Data Analysis
  • What is Data Analysis
  • Ways of Thinking About Data
Quick Introduction to Data Analysis with Excel
  • Data Collection
  • Data Processing
Quick Introduction to Data Analysis with Python
Quick Introduction to Data Analysis with Tableau
Quick Introduction to Data Analysis with SQL

Instructor

Summary

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