Applied Data Analysis Course
A project-based certified micro-credential data analysis course to learn the essential concepts and techniques of data cleaning and exploratory data analysis.
Provided by: Data Corner
Course Presentation
This course is designed for individuals with some background in data analysis who wish to enhance their skills in data cleaning, exploratory data analysis, data visualization, building interactive dashboards, and producing actionable insights that aid in making data-driven decisions. The course is project-based, providing participants with practical experience applying these techniques to real-world scenarios. Participants will also be trained in teamwork and have opportunities to work on data analytics projects in hands-on sessions. They will be introduced to various data analysis platforms such as Excel, Tableau, and Python and learn how to build interactive data analysis dashboards using these tools. Additionally, participants will learn about the analytics project life cycle from data collection to presentation of results. By the end of the course, participants will be able to conduct data cleaning and analysis, create effective data visualizations, and present actionable insights for data-driven decision making in a data-driven organization. Additionally, trainees will also have the chance to participate in data analytics hackathons, which will enable them to put their newly acquired skills to the test by solving real-world problems using data engineering techniques.
Course details
Venue
Online
Deep tech fields
Artificial Intelligence & Machine Learning (including Big Data)
Course language
English
Course certification
Data Corner Label; EIT DTTI Label
Fee
Course fee
Duration (hours)
75
Certificate provided
Yes
Skills addressed
Data Analysis; Exploratory Data Analysis; Python Programming; Excel Dashboards; Tableau; Business Intelligence;
Course format
Online
Target group
Undergraduate-level learners, Postgraduate-level learners, Professional development learners, Life-long learners
Quality check
Approved