Skip to main content

Data Analysis

Overview

Course Details

Schedule

Program Length: 8 weeks  

Class schedule

Class Length: 2 hours

Academy Courses Pricing

Original Price: 1000

With Growth Labs Academy Scholarship: 499 €*

Outcomes

By the end of this course, you will be proficient with:

  • Analyzing and manipulating data.
  • Working with different types of data using SQL.
  • Visualizing data using tools like PowerBI, Tableau, and Python libraries.
Please ensure to have a computer that meets the specified requirements:

 

  • Supported operating systems: macOS, Linux, or Windows (Pro edition required).
  • Latest OS version, fully up to date.
  • All security updates installed.
  • At least 100GB of free space on the hard drive.
  • At least 16GB of RAM, 32GB RAM is strongly preferred.
  • Support for video conferencing and screen-sharing, with a reliable webcam and microphone.

What is data analysis?

  • Understanding the role of data analyst.
  • Basic concepts in data analysis.
  • Tools and software overview.

What is statistical analysis?

  • Introduction in statistics for analyzing data.
  • Types of statistics, probabilities distributions and time series analysis.
  • Correlations, regressions analysis and identifying patterns.

What is data visualization

  • Advanced visualization tools.
  •  Creating dashboards.
  •  Storytelling with data.

What is Power BI and how to use it?

  • Introduction to PowerBI, connect, transform, and load data.
  • Data modelling, visualization and report creating.
  • Deployment and Maintenace of PowerBI.
To successfully pass the class, students should aim to reach a minimum of 90% of the available points. We’ve created a flexible environment which will enable you to have the best learning experience and elevate you on to greater heights. 
Punctuality, participation in discussions, completion of assignments, and demonstration of professional courtesy to others are required, in accordance with our Code of Conduct. Attendance will be taken at the beginning of every class. Passing requires at least 90% attendance. Students should always contact the instructors ahead of time if they are unable to attend all or part of the published class/lab hours.

Related Courses