Data Science
This course aims to equip learners with the essential skills needed to analyze, interpret, and communicate data effectively. It covers a broad range of topics from data collection and statistical analysis to the creation of insightful reports and visualizations. This course is suitable for professionals seeking to enhance their analytical capabilities or anyone interested in the field of data analysis.
Course Overview
Participants will learn various data analysis techniques and tools, understand how to work with different types of data, and develop skills in creating reports and visualizations that effectively communicate findings.
Course Structure:
- Total Number of Lessons: 72 lessons
- Frequency: 3 Classes per week and 3 hours per class
- Format: Blend of online lectures, practical exercises, case studies, and project work
Course Outcome
- Proficiency in data analysis techniques and statistical methods.
- Ability to use data analysis software and tools (e.g., Excel, R, Python).
- Skills in data cleaning, manipulation, and transformation.
- Knowledge of creating compelling data visualizations and reports.
- Understanding of how to interpret data to make informed decisions.
Learning Peeks
Course Duration
12 Weeks
Course Structure
Hybrid Learning
Availability
Available Online/Offline
Recognized Certification
Earn a certification on completion
Flexible Schedules
Flexible study schedules
Language
English Language
Training Days
Monday, Wednesday and FridayCourse Prerequisite
The following are required
Basic Statistical Knowledge: Understanding of fundamental statistical concepts such as mean, median, mode, variance, and standard deviation. Computer Literacy: Comfort with using computers, especially data analysis software or programming environments.Familiarity with Spreadsheet Software: Experience with tools like Microsoft Excel or Google Sheets for data organization and preliminary analysis. Basic Programming Skills: Some courses might require familiarity with a programming language used in data analysis, such as Python or R. Logical Thinking and Problem-Solving Skills: Ability to approach problems methodically and derive logical conclusions from data.
COURSE FEE
₦300,000.00 ***installmental payment available for this course
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