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Data Analytics/Science

Last Updated:November 22, 2025

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What I will learn?

  • Acquire skills in data cleaning, statistical analysis, and data visualization.
  • Learn to use tools like SQL, Excel, and BI platforms for actionable insights.
  • Develop expertise in interpreting complex datasets to drive decision-making.
  • Explore techniques to communicate data findings effectively to stakeholders.

Course Curriculum

Week 1: Introduction to Data Analytics (data types, lifecycle, key concepts) + Basic Statistics

  • Introduction to Data Analytics – key concepts, lifecycle, and data types.
    50:58
  • Introduction to Data Analytics – key concepts, lifecycle, and data types- Part 2
    01:17:59
  • Introduction to Data Analytics Assignment
  • Datasets

Week 2: Excel for Data Analytics – Foundation

Week 3: Intermediate Excel

Week 4: Advanced Excel

Week 5: PowerBi – PowerBi Essentials

Week 6: Data Transformation

Week 7: Visualizations & DAX

Week 8: Tableau – Getting Started with Tableau

Week 9: Intermediate Tableau

Week 10: Dashboards & Interactivity

Week 11: Looker Studio – Basics

Week 12: Intermediate Reporting

Week 13: Dashboard Design

Week 14: SQL for Data Analytics – SQL Basics

Week 15: Aggregations & Joins

Week 16: Subqueries & Advanced SQL

Week 17: Python for Data Analytics – Python Foundations

Week 18: Pandas & NumPy

Week 19: Visualization & Basic Stats

Week 20: Capstone Project – Planning and Data Collection

Week 21: Data Cleaning & Exploration

Week 22: Analysis & Visualization

Week 23: Presentation Preparation – Finalize slide deck and rehearse project delivery.

Week 24: Capstone Showcase – Present project to industry reviewers and compile portfolio.

Download Courses Curriculum

Download Curriculums

Material Includes

  • Comprehensive Course Slides
  • Interactive Live Class Sessions,
  • Hands‑On Projects
  • Quizzes, Assignments & Projects
  • Supplemental Resources
  • Recorded Live Class Lessons
  • Communities & Mentors
  • Certificate Of Completion

Requirements

  • Access to a Computer or Laptop with Stable Internet
  • Consistent weekly commitment to lectures, coding labs, and project work.
  • Ability to engage in interactive learning and collaborative activities.
  • Basic knowledge of computer operations and file management.
  • Ability to dedicate 8-15 hours per week to lectures, assignments, and hands-on projects.

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Our Offices

Deleware, United States
8 The Green, Ste A, Dover, Delaware, 19901 United States.

 

Lagos State, Nigeria
Block 59, Plot 12B Kusenla Rd, Ikate, Lekki Lagos.
42 Olowu St, Opebi 101233, Ikeja, Lagos, Nigeria.

 

Imo State, Nigeria
87, Tetlow Road, After School Road Junction Owerri, Imo State.

Helpdesk

support@leapschool.africa, hello@leapschool.africa

+234 704 963 3364, +234 902 708 0742,  +234 704 474 1071

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