Data Analysis
Data analysis involves extracting valuable insights from data to inform decision-making. This course teaches data collection, cleansing, analysis, and visualization techniques. Data analysts use tools like Excel, SQL, and data visualization software to interpret data.
Course Overview
Data Analysis Fundamentals
In today’s data-driven world, the ability to extract valuable insights from data is a critical skill for professionals across various industries. The Data Analysis course provides a comprehensive introduction to the principles and techniques of data analysis, equipping participants with the tools needed to make informed decisions based on data.
Duration
8 Saturdays for Weekend Classes.
Self-paced for online pre-recorded Classes.
Live online via google meet.
- Certificate of Completion
N150,000
N150,000
Key Learning Objectives
Understand the process of collecting, cleaning, and structuring data for analysis.
Learn techniques to explore data visually and statistically to identify patterns and outliers.
Gain proficiency in conducting basic statistical analyses, including hypothesis testing and regression.
Master data visualization tools and techniques to effectively communicate findings.
Learn how to summarize data and make inferences from sample data to population characteristics.
Explore predictive analytics and machine learning concepts to forecast future trends.
Develop the ability to interpret data findings and draw actionable insights.
Apply data analysis techniques to real-world problems and datasets.
Course Format
8 Saturdays for Weekend Classes.
Self-paced for online pre-recorded Classes.
Live online via google meet.
Upon successful completion of the course, participants will receive a Certificate in Data Analysis from Renzy Academy.
The course includes a combination of video lectures, hands-on exercises, quizzes, and practical projects.