This course offers a comprehensive exploration of data analysis and data science techniques, equipping students with the skills to extract valuable insights from data. Covering a range of topics including data preprocessing, exploratory data analysis, statistical modeling, machine learning, and data visualization, students will learn how to manipulate data, perform statistical analyses, and build predictive models. Through hands-on projects and case studies, students will gain practical experience with tools such as Python, R, and libraries like Pandas, NumPy, scikit-learn, and matplotlib. By the end of the course, students will be able to apply data science techniques to real-world problems, making data-driven decisions and communicating their findings effectively.
Modules
- Data Analysis with Microsoft Excel
- Fundamentals to Microsoft PowerBI
- Fundamentals to MySql
- Introduction to Python
- Introduction to Machine Learning
Additional Benefits:
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- Split Payment Option: Flexible payment plans to make the course more accessible and manageable for learners.
- Internship Opportunity: Access to internship opportunities with partner companies to gain hands-on experience and enhance your skills.
- Community Membership: Inclusion into a supportive community of like-minded individuals and industry professionals for networking and collaboration.
- Free Masterclass: Exclusive masterclass sessions conducted by experienced facilitators for advanced learning and insights into industry trends.
Certification
Certificate of Completion
| Duration | Training Date | Training Mode |
|
16 Sessions 8-Week |
Next 8-week session |
₦100,000
|