Pediforte

Course Highlights

1. Data Fundamentals: Dive into the world of data. Learn about data types, sources, and formats. Understand the importance of data quality and integrity.

2. Data Collection and Cleaning: Explore methods for collecting data and techniques for cleaning and preprocessing data for analysis.

3. Statistical Analysis: Gain a strong foundation in statistics. Learn to analyze data using descriptive and inferential statistical methods.

4. Data Visualization: Master the art of data visualization. Create stunning charts and graphs to communicate your findings effectively.

5. Tools of the Trade: Get hands-on experience with popular data analysis tools such as Excel, PowerBI, and data visualization libraries.

6. Real-world Projects: Apply your knowledge to real-world projects and build a portfolio that showcases your skills to potential employers.

7. Python Programming: Develop proficiency in Python, a powerful and widely-used programming language for data analysis, automations, and manipulation.

8. Database Language: Explore the fundamentals of database languages such as SQL, and discover how to retrieve, manipulate, and manage data stored in databases.

9. Data Ethics and Privacy: Understand the ethical considerations of data analysis and how to handle sensitive data responsibly.

10. Career Support: Receive guidance on job readiness, resume building, and interview preparation. Connect with industry professionals and job opportunities.

Why Choose Pediforte Coding Academy?

  • Experienced Instructors
  • Hands-on Learning
  • Industry-Relevant Curriculum
  • Supportive Community
  • Job Placement Assistance

Hands-On Projects and Real-World Applications

At Pediforte, we believe that hands-on experience is key to true learning. That's why we place a strong emphasis on projects and real-world applications. As you advance through the curriculum, you'll have the opportunity to work on exciting projects that simulate real-life scenarios. This way, you'll not only understand the theory but also gain the confidence to apply your skills in practical situations.

Course Information:

  • Course Price: ₦300,000
  • Course Duration: 3 Months
  • Course Level: Beginner (starts from scratch)
  • Course Requirement: Laptop (Ram: 4GB Minimum, Processor: Any)


Apply for the Data Analysis course