Data Analysis

Last Update July 27, 2026
99 already enrolled

About This Course

Data analysis has become one of the most valuable skills in today’s data-driven world. Organizations across industries rely on data analysts to uncover trends, measure performance, and make informed decisions.

In this Data Analysis program, you’ll learn the core principles of analyzing data, from collecting and cleaning datasets to interpreting findings and presenting insights effectively. By the end of the program, you’ll be able to work with spreadsheets and databases, perform exploratory analysis, create reports and dashboards, and communicate data-driven recommendations that support better business decisions.

Course content adapted from FreeCodeCamp School, Kibo School under a Creative Commons license, and curated by Locus Africa for learners across Africa.

Target Audience

  • Students and recent graduates interested in building a career in data science, analytics, or machine learning.
  • Professionals in non-technical fields (business, finance, marketing, operations) who want to make data-driven decisions.
  • Tech enthusiasts and problem-solvers who want to gain practical, in-demand skills in Python and data analysis.
  • Entrepreneurs and startup founders who want to understand data insights to guide smarter business strategies.

Curriculum

85 Lessons220h

Welcome to Your Entry Step

Watch your Orientation Video18:06
PRE ASSESSMENT (MANDATORY)
Pre-Assessment (Mandatory Entry Requirement)

Program Overview

Week 1: Introduction to Data Analysis

Week 2: Excel Functions and Formulas

Week 3: Exploratory Data Analysis

Week 4 : Data Visualization

BREAK

Week 5: MYSQL

Week 6 : MYSQL Cont’d

Week 7: Advanced SQL

HOLIDAY

WEEK 8 : CAPSTONE PROJECT

Week 9: Getting Started with Power BI

Week 10: Power BI (Cont’d)

Week 11: DAX

Week 12

WEEK 13 : CAPSTONE PROJECT (CONTINUED)

Week 16: Convocation

Earn a certificate

You'll receive a certificate upon completion of this program.

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Level
Beginner
Duration 220 hours
Lectures
85 lectures
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