Become Analytics Pro: Crash course in Excel, Python, SQL, Power BI

This 5-hour Data Analyst course provides an essential foundation in Python, Excel, SQL, and Power BI for those looking to kickstart their data analysis journey.
Duration: 1 Day
Hours: 5 Hours
Training Level: All Levels
Batch Six
Tuesday, July 16, 2024
12:00 PM - 05:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

About the Course:

Data analysis is a valuable skill in today's data-driven world. This course offers a comprehensive introduction to four fundamental data analysis tools: Python, Excel, SQL, and Power BI. In this 5-hour session, you'll learn the basics of data manipulation, analysis, and visualization using these tools, equipping you with the skills to make data-driven decisions and communicate your insights effectively.

Course Objective:

  • Understand the principles of data analysis.
  • Utilize Python for data manipulation and analysis.
  • Perform data analysis and visualization using Microsoft Excel.
  • Write SQL queries to extract and analyze data from relational databases.
  • Create interactive data visualizations and reports using Power BI.

Who is the Target Audience?

  • Beginners who want to start a career in data analysis
  • Professionals who need to enhance their data analysis skills.
  • Anyone interested in gaining a foundational understanding of Python, Excel, SQL, and Power BI

Basic Knowledge:

  • No prior experience in data analysis is required, but a basic understanding of computer usage is beneficial. Familiarity with spreadsheets and databases can be helpful but is not mandatory.

Curriculum
Total Duration: 5 Hours
Introduction to Data Analysis and Tools

  • Introduction to Data Analysis  
  • Overview of Data Analysis Tools  
  • Setting up the development environment  

Data Manipulation with Python

  • Python basics for data analysis  
  • Data structures in Python  
  • Pandas library for data manipulation  
  • Hands-on Python exercises  

Data Analysis with Excel

  • Introduction to Excel for data analysis  
  • Excel functions and formulas  
  • Data visualization in Excel  
  • Hands-on Excel exercises  

SQL for Data Analysis

  • Introduction to SQL and databases  
  • Writing SQL queries  
  • Filtering and sorting data  
  • Hands-on SQL exercises  

Data Visualization with Power BI

  • Introduction to Power BI  
  • Importing and cleaning data  
  • Creating visualizations and dashboards  
  • Sharing and publishing reports