₦270,000
This course includes
18 weeks
Full lifetime access
Downloadable Resources
Certification of completion
About the instructor
Folorunso Ajala
Data Analysis
4.8
Overview
Data analysis is an essential skill for extracting insights from data and making informed business decisions. This course provides foundational knowledge in data analysis, covering tools, techniques, and methodologies used by professionals to interpret and visualize data effectively.
Learning Objectives
By the end of this course, participants will:
Understand the fundamentals of data analysis: Learn about data structures, data sources, and the role of data in decision-making.
Master data collection, cleaning, and preparation: Learn how to handle missing values, filter, and clean raw datasets using Excel, and SQL.
Perform statistical and exploratory data analysis (EDA): Use statistical methods to identify patterns, trends, and correlations in data.
Visualize data using industry-standard tools: Gain hands-on experience with Power BI, Tableau to create dashboards and reports.
Develop SQL skills for data querying and manipulation: Learn how to retrieve, filter, and aggregate data using SQL queries.
Learn how to interpret and present data-driven insights: Develop storytelling skills to communicate findings effectively to stakeholders.
Apply knowledge to real-world datasets and projects: Gain practical experience through case studies, projects, and assignments.
Requirements
Ideal for professionals looking to upskill in data analytics.
No prior data analysis experience is required.
A basic understanding of spreadsheets is helpful, but not mandatory.
Curriculum
Module 1: Introduction to Data Analysis
Module 2: Data Collection & Cleaning Techniques
Module 3: Exploratory Data Analysis & Statistics
Module 4: Data Visualization with Power BI & Tableau
Module 5: SQL for Data Analysis
Module 6: Real-World Case Studies & Projects
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