Python for Data Analysis (B30)

  • Start Date: 25th September 2023
  • End Date: 27th of October 2023
  • Time: 2pm – 4pm (WAT)
  • Schedule: Tuesday, Thursday

Python for Data Analysis

The Python for Data Analysis course is designed to equip participants with the essential skills and knowledge needed to effectively analyze and manipulate data using Python. Participants will learn the fundamentals of Python programming and explore various libraries and tools commonly used for data analysis. Through hands-on exercises, real-world examples, and projects, participants will gain practical experience in handling and visualizing data for informed decision-making.

Pre-requisite: This course doesn’t require any prior knowledge.

Who Should Attend?

  • Data Analysts and Data Scientists
  • Business Analysts
  • Researchers
  • Programmers and Developers
  • Students
  • Professionals Transitioning to Data Roles
  • Anyone Interested in Data Analysis



  • Instructor-led Live Sessions
  • Real-life Case Studies
  • Assignments
  • 24 x 7 Expert Support
  • Certification


What are the system requirements for this course? Operating System: Windows 7 or higher, Mac OS. Processor: 1 gigahertz (GHz) or faster processor or SoC RAM: 1 gigabyte (GB) for 32-bit or 2 GB for 64-bit Hard disk space: 16 GB for 32-bit OS or 20 GB for 64-bit OS Graphics card: DirectX 9 or later with WDDM 1.0 driver Display: 800 x 600 What if I miss a class? All classes are recorded and uploaded on our Learning Management System(LMS). So you can catch up on your course during your free time if you miss a class Do I receive a certificate after completing the Course? Yes, you receive an internationally recognized certificate after the course. Who are the Instructors? Our Instructors are in-house professionals with at least 5 years of relevant experience in various domains. They are subject matter experts and are trained to provide a great learning experience.

Course Content

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₦164,000 ₦12,900

Course Includes

  • 7 Modules
  • 21 Topics
  • 1 Quiz
  • Course Certificate

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