Data Analysis

NovelTech Academy’s 3-month Data Analysis programme teaches SQL, Python, Excel, and Power BI. Graduates receive a portfolio, certification, and internship placement.

Cohort Months

May, September, February

Durations

3 Months Duration (1 Cohort Cycle)

Mode

Hybrid (Online + Physical)

Pricing

₦337,500.00 per cohort seat.

Cohort Months

May, September, February

Durations

3 Months Duration (1 Cohort Cycle)

Mode

Hybrid (Online + Physical)

Pricing

₦337,500.00 per cohort seat.

Overview

Program Overview

A 3-month project-driven programme in SQL, Python, Excel, and Power BI. You’ll build interactive dashboards, write production queries, run statistical analyses, and present data-driven findings. Each module uses real datasets and culminates in a hands-on project, giving you a working portfolio to showcase your skills to employers. By the end, you’ll be comfortable working with the full data analysis pipeline, from data extraction to visual reports.

Data analysts are in high demand in Nigeria and globally, with companies like Flutterwave, MTN, Kuda Bank, Access Bank, Deloitte, and others hiring across Lagos, Abuja, and remotely. The U.S. Bureau of Labour Statistics predicts a 23% growth in data roles by 2032, and the global analytics market is expected to reach $104 billion by 2026.

SQL, Python, and Excel are the most sought-after skills in data analysis, with Power BI and Tableau leading visualisation requirements. In Nigeria, salaries range from ₦1.4M to ₦8.4M annually, while the US average is $111,000/year. The global market is growing at 21.5% annually, with 11.5 million new data jobs projected by late 2026.

Go from zero experience to a job-ready data analyst in 12 weeks, with a portfolio, certification, and internship placement to back it up. You will leave this program able to walk into an interview, open your laptop, and show real dashboards, real SQL queries, and real statistical analyses you built yourself.

Audience

Who This Program Is For

This program is for anyone ready to enter the data analytics field.

  • Complete beginners with no prior coding or data experience.
  • University graduates in any discipline.
  • Working professionals in banking, marketing, operations, or finance.
  • Career changers from non-technical fields.
  • Freelancers and entrepreneurs.
  • NYSC members or recent corps members.

Skills

Tools & Core Competencies

Graduates will write SQL queries for data tasks, clean and analyse datasets with Python, create dashboards in Power BI, conduct statistical analysis, use advanced Excel functions, and communicate findings clearly to non-technical stakeholders.

The Tech Stack

  • List representing software apps you will be trained on and master during this program.

    • SQL [MySQL, PostgreSQL] (Query Language)
    • Python 3 (Programming Language)
    • Pandas, NumPy, Seaborn, Matplotlib, SciPy, Statsmodels, Scikit-learn, Plotly (Python Libraries)
    • Microsoft Excel [Advanced] (Spreadsheet)
    • Microsoft Power BI Desktop (Business Intelligence)
    • Power Query, DAX (Data Transformation)
    • Descriptive & Inferential Statistics (Statistics)
    • Git / GitHub (Portfolio)

Core Technical Skills

  • Individuals learning digital skills to work independently or build online income streams.

    • SQL querying and database management
    • Python programming for data analysis
    • Data cleaning and preprocessing
    • Statistical analysis and hypothesis testing
    • Data visualization and dashboard design
    • Power BI report building and DAX formulas
    • Advanced Excel functions and pivot tables
    • Power Query data transformation
    • Exploratory data analysis (EDA)
    • Data storytelling and presentation
    • Working with APIs and external data sources
    • Outlier detection and data quality assessment

Soft Skills

  • Key professional traits that were cultivated and refined throughout the cohort program

    • Analytical Thinking: Breaking complex business problems into data-driven questions that can be measured and answered.
    • Communication: Translating technical findings into clear, actionable insights for non-technical stakeholders.
    • Attention to Detail: Maintaining data accuracy and integrity throughout the collection, cleaning, and analysis pipeline.
    • Problem-Solving: Identifying root causes and patterns in data that inform strategic business decisions.
    • Collaboration: Working effectively with cross-functional teams including product, marketing, finance, and engineering.
    • Time Management: Prioritizing analytical tasks and delivering insights within business-critical deadlines.

Curriculum

Syllabus & Course Modules

Five modules progress from foundational database querying to programming, spreadsheet analysis, statistical methods, and business intelligence. Each builds on the last, developing a complete analytical workflow. Modules include hands-on assignments, real-world datasets, and instructor-guided exercises.

Foundation module covering how to interact with relational databases. You will learn to write queries that extract, filter, join, and aggregate data, and apply SQL best practices to real analysis projects.

Core programming module that introduces Python as a data analysis tool. Covers data types, control flow, functions, error handling, and Pythonic patterns like list comprehensions and lambda functions essential for efficient data manipulation.

Comprehensive module covering Excel as a fast, versatile analysis environment. Covers data import, cleaning, transformation, visualization, Power Query, advanced lookup functions, and culminates in a real-world capstone project.

The statistical core of the program. You will apply descriptive and inferential statistics using Python libraries, learn to test hypotheses, identify outliers, and build visualizations that reveal patterns in data.

The capstone module where everything comes together. You will build interactive dashboards, write DAX expressions, use Power Query for data transformation, and create professional reports ready for stakeholder consumption.

Earn a career certificate upon completion

Feel free to include this credential in your LinkedIn profile, resume or CV. You could also share it on social media and mention it during your performance review.

Methodology

How You Will Learn

The following courses or modules are included in this program. Course content and structure may vary slightly by cohort.

Interactive live

Interactive live classes introduce concepts with real-time instructor guidance.

Hands-on assignments

Hands-on assignments reinforce each topic using real-world datasets.

Peer collaboration

Peer collaboration within your cohort builds communication and teamwork.

Capstone project

A capstone project ties all modules into a portfolio-ready deliverable.

Certification

Your Industry Credential

Upon successfully finishing the program and passing the final exam, you will receive a Certificate of Completion from NovelTech Academy.

This certificate validates your proficiency in SQL, Python, Excel, Statistics, and Power BI. To further enhance your qualifications, we suggest pursuing industry-recognised certifications such as the Google Data Analytics Professional Certificate, Microsoft PL-300 (Power BI Data Analyst), or IBM Data Analyst Professional Certificate. These certifications are highly esteemed by employers both in Nigeria and globally.

Prerequisites

Admission Requirements

No prior programming or data analysis experience is necessary.

Our curriculum is structured to begin with the fundamentals and gradually progress to more advanced topics. Basic computer literacy and familiarity with file management are all you need to get started. You will require a laptop with at least 4GB of RAM, though 8GB is recommended for optimal performance.

A stable internet connection is essential for accessing online sessions and course materials, and a functioning webcam and microphone are necessary for participating in live classes.

All software used in the program is free, including Python 3, Power BI Desktop, and a SQL environment such as MySQL or PostgreSQL. Additionally, Microsoft Excel or Microsoft 365 is required. Installation guidance will be provided during the first week.

The instruction is conducted in English. The program is open to participants of all ages and backgrounds, with no degree or NYSC requirements.

Apply Now

Select an Upcoming Cohort

Our programs have fixed cohorts with set start dates, schedules, and limited seats to ensure focused learning and support.

NovelTech Academy's Data Analysis program is a 3-month intensive that takes you from zero to job-ready. You will learn SQL, Python, Excel, and Power BI through hands-on projects, graduate with a portfolio and certification, and receive…

  • Apply Ends: August 28, 2026
  • Start: September 1, 2026
  • Limit: 25 seats (1 enrolment per user)
  • Modes: Hybrid (Online + Physical)
  • Duration: 3 Months Duration (1 Cohort Cycle)
  • Fees: ₦337,500.00

NovelTech Academy's Data Analysis program is a 3-month intensive that takes you from zero to job-ready. You will learn SQL, Python, Excel, and Power BI through hands-on projects, graduate with a portfolio and certification, and receive…

  • Apply Ends: February 11, 2027
  • Start: February 15, 2027
  • Limit: 25 seats (1 enrolment per user)
  • Modes: Hybrid (Online + Physical)
  • Duration: 3 Months Duration (1 Cohort Cycle)
  • Fees: ₦337,500.00

NovelTech Academy's Data Analysis program is a 3-month intensive that takes you from zero to job-ready. You will learn SQL, Python, Excel, and Power BI through hands-on projects, graduate with a portfolio and certification, and receive…

  • Apply Ends: May 22, 2027
  • Start: May 25, 2027
  • Limit: 25 seats (1 enrolment per user)
  • Modes: Hybrid (Online + Physical)
  • Duration: 3 Months Duration (1 Cohort Cycle)
  • Fees: ₦337,500.00