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Data Analysis Level: Intermediate

Data Analysis

This practical Data Analysis course is designed to equip students with the skills required to collect, clean, analyze, visualize, and interpret data for real-world decision making. Students will learn Excel, SQL, Python, Pandas, NumPy, Matplotlib, Seaborn, and Power BI while working with practical datasets and business problems. The course is suitable for beginners and aspiring data analysts who want to develop job-ready analytical skills. Students will complete practical exercises and projects throughout the training and build a portfolio of data analysis projects.

Duration: 12 weeks
Starts: Sep 01, 2026
Instructor: Lead Faculty
Program Tuition
₦250,000
Verifiable Certificate of Completion
Downloadable Slides, Videos & Codebases
Flexible Multi-Stage Installment Options
Direct Instructor Guidance & Code Reviews
Course Structure

Comprehensive Curriculum & Modules

M1

Module 1: Introduction to Data Analysis

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M2

Module 2: Microsoft Excel Fundamentals

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M3

Module 3: Excel Formulas and Functions

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M4

Module 4: Data Cleaning and Preparation

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M5

Module 5: Excel Pivot Tables and Data Visualization

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M6

Module 6: SQL Fundamentals

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M7

Module 7: SQL Queries and Database Analysis

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M8

Module 8: Introduction to Python for Data Analysis

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M9

Module 9: NumPy and Pandas

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M10

Module 10: Data Cleaning with Pandas

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M11

Module 11: Data Visualization with Matplotlib and Seaborn

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M12

Module 12: Power BI Fundamentals

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M13

Module 13: Power Query and Data Transformation

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M14

Module 14: Power BI Dashboards and DAX

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M15

Module 15: Exploratory Data Analysis

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M16

Module 16: Real-World Data Analysis Project

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

M17

Module 17: Portfolio Development and Presentation

Hands-on practical module covering core foundations, real-world case studies, and coding projects.

Training & Payment Policy

SoloTech.AI Academy operates with strict professional standards to ensure student excellence and timely graduation:

Key Academic Policies
• Payment Policy: Maximum two (2) installments (50% min initial deposit, balance by midpoint).
• Class Attendance: Minimum 80% attendance required for graduation and certification.
• Program Completion: Courses must be completed within the cohort timeframe. Unapproved delays carry extension penalties.

🔒 Official Zenith Bank account details and the personalized Student Training Agreement are available inside your Student Portal upon enrollment.