Mastering Data Science and Analytics
This course is designed to provide a comprehensive foundation in data science and analytics, enabling participants to analyze data, extract actionable insights, and communicate findings effectively. The program incorporates essential tools such as Python, R, and SQL, alongside advanced topics such as machine learning and big data analytics. Through a blend of theoretical instruction and hands-on practice, participants will be equipped to address real-world challenges in the dynamic field of data science.
Course Overview
This detailed course structure is designed to empower participants with the necessary tools and knowledge to excel as data scientists and analysts, ready to address complex challenges and contribute to data-driven decision-making processes.
- Basic Module: Foundational concepts, tools, and data visualization.
- Intermediate Module: Statistical techniques, machine learning, and applied analytics.
- Advanced Module: Deep learning, big data processing, and capstone projects.
Course Outcome
By the end of this course, participants will:
- Master the core principles of data science and analytics.
- Gain proficiency in data collection, cleaning, and preprocessing.
- Analyze and visualize data effectively to derive insights.
- Build and evaluate predictive models using machine learning.
- Work with large-scale datasets using big data tools and platforms.
- Solve real-world problems through a comprehensive capstone project.
Learning Peeks
Course Duration
24 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 knowledge of mathematics (algebra, statistics). Familiarity with programming concepts is advantageous but not required.
COURSE FEE
₦600,000.00 ***installmental payment available for this course
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