Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python

Learn essential data analysis skills in Excel, SQL, and Python in just 4 hours. Go from a novice to a data analyst hero!
Duration: 1 Day
Hours: 4 Hours
Training Level: All Levels
Single Attendee
$199.00 $332.00
6 month Access for Recorded

About the Course:

This intensive 4-hour training program is designed to take you from a beginner to a proficient data analyst in three crucial tools: Excel, SQL, and Python. You'll gain a solid understanding of data analysis concepts, learn to manipulate data, create insightful visualizations, and extract valuable insights from real-world datasets. Whether you're new to data analysis or looking to enhance your skills, this course provides the essential knowledge and hands-on experience you need to excel in the world of data.

Course Objective:

  • Develop proficiency in Excel for data manipulation and visualization.
  • Master SQL to query and extract data from databases.
  • Gain an introductory understanding of Python for data analysis.
  • Learn to clean and transform data for analysis.
  • Create meaningful visualizations to convey insights effectively.

Who is the Target Audience?

  • Aspiring Data Analysts
  • Business Analysts
  • Students and Graduates
  • Professionals seeking to upskill
  • Anyone interested in data-driven decision-making

Basic Knowledge:

  • No prior knowledge of Excel, SQL, or Python is required. Familiarity with basic computer operations is required.

Total Duration: 4 Hours
Introduction to Data Analysis and Excel

  • Basics of Data Analysis  
  • Introduction to Excel  

Intermediate Excel and Data Visualization

  • Formulas and Functions in Excel  
  • Data Cleaning and Transformation  
  • Data Visualization in Excel  

Introduction to SQL for Data Analysis

  • What is SQL?
  • SELECT Statements  
  • JOIN, WHERE, GROUP BY, HAVING Operations  

Introduction to Python for Data Analysis

  • Python for Data Analysis  
  • Data Analysis with Pandas and NumPy  
  • Data Visualization with Matplotlib and Seaborn  

Q&A and conclusion