Robotics Bootcamp

About the program?

The Data Analysis IT Program (Cohort 6) is an intensive 9-week hybrid bootcamp designed for beginners and early-stage professionals who want to build a strong foundation in data analysis. Through a blend of live virtual classes, onsite mentorship, and hands-on projects, participants will gain practical skills in data analytics, data visualization, and storytelling with data. This program also integrates career readiness training such as mock interviews, LinkedIn optimization, and resume support to help participants transition smoothly into the job market

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Admission Requirements

  1. Educational Background:

    • Open to all disciplines. No prior programming or technical background required

  2.  Work Experience:

    • No prior work experience needed. Suitable for beginners and early-stage professionals.

  3. Mathematics Skills:

    • Basic understanding of mathematics recommended for success

  4. Language Proficiency:

    • The program is conducted in English; applicants should have basic proficiency.

  5. Assessment:

    • Applicants may undergo an entrance assessment. Preparation resources and orientation will be provided.

Course Outline

In this 9-week immersive program, you will learn and practice the following:

Intro to Data Analysis & Excel Basics (Spreadsheets, Pivot Tables.) .

Advanced Excel + Case Study (Dashboards, Lookups, Data Cleaning).

Power BI Basics (Data Visualization, DAX Basics).

SQL Basics (SELECT, WHERE, JOINs)

SQL Advanced (Subqueries, Aggregations, Window Functions)

Python for Data Analysis I (Pandas, NumPy, Data Loading)

Python for Data Analysis II (EDA, Data Cleaning, Matplotlib/Seaborn)

Career Prep + Project Demos (Resume Review, Mock Interviews, Project Pitches)

Program Details

Fee per student

NGN 50,000.00
Non-Student: NGN 50,000.00
Student: NGN 50,000.00

Duration

13th October – 15th December 2025 (9 weeks)

Time

Mondays, Wednesdays, Fridays (10:00 AM – 2:00 PM)

Venue

Opolo Hub, University of Benin (Hybrid: Physical + Virtual)

Career Outcome

At the end of this program:

  • • Be job-ready for entry-level data analyst roles across industries.
  • • Gain skills to support data-driven decision-making in organizations.
  • • Build a portfolio of projects to showcase their abilities.
  • • Strengthen their network through peer and mentor collaboration.

Registration

Secure your spot today!