This course offers a comprehensive exploration of data analysis 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, 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, and libraries like Pandas, NumPy, scikit-learn, and matplotlib. By the end of the course, students will be able to apply data analytic 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
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 |
|
6-Week |
New cohort start first week of every month |
₦60,000
|