Data Science

3-month intensive programme in data science, covering SQL, Python, statistics, machine learning, and deep learning.

Cohort Months

May, September, February

Durations

3 Months Duration (1 Cohort Cycle)

Mode

Hybrid (Online + Physical), Self-Pace (Recorded)

Pricing

₦598,500.00 per cohort seat.

Cohort Months

May, September, February

Durations

3 Months Duration (1 Cohort Cycle)

Mode

Hybrid (Online + Physical), Self-Pace (Recorded)

Pricing

₦598,500.00 per cohort seat.

Overview

Program Overview

This program takes you from foundational data concepts to building production-ready machine learning models in 12 weeks. You will work with real-world datasets, learn industry-standard tools including Python, SQL, Pandas, and TensorFlow, and complete a capstone project.

NovelTech Academy’s Data Science program is an intensive 3-month cohort. Each cohort progresses through six modules covering SQL, Python programming, statistics, data manipulation and visualisation, machine learning, and deep learning. You graduate with a portfolio of projects and the technical foundation to compete for data science roles.

Nigeria’s data economy is booming, with banks, fintechs, telecoms, and oil companies all forming data science teams. The U.S. Bureau of Labour Statistics predicts a 34% rise in data scientist jobs by 2034, creating about 23,400 new roles annually. Remote work has opened global opportunities, with international roles paying $2,000 to $6,000 per month through platforms like Turing, Andela, and Toptal.

Data scientist salaries in Nigeria vary from ₦150,000 to ₦1,500,000 monthly, depending on experience and industry. Entry-level positions start at ₦150,000 to ₦350,000/month, mid-level professionals earn ₦400,000 to ₦800,000, and senior roles command ₦800,000 to ₦1,500,000. Globally, most data science roles offer $120,000 to $200,000 annually. Python (required in 85% of job postings), SQL (59%), and machine learning are the most in-demand skills.

Learn to build and deploy machine learning models in just 12 weeks, starting from scratch. By week 4, you’ll be writing Python scripts and querying databases. By week 8, you’ll be cleaning real datasets and creating visualisations. By graduation, you’ll have trained, evaluated, and deployed machine learning models using the same tools used by data teams at companies like Flutterwave, MTN, and Shell.

Audience

Who This Program Is For

Beginners with no coding or data experience looking to enter tech. Professionals in finance, marketing, operations, or engineering seeking a data science career. Recent graduates in any field seeking a high-demand, high-paying career. Business analysts and Excel users ready to learn Python and machine learning. Entrepreneurs and business owners wanting to make data-driven decisions. NYSC members exploring tech careers after service.

Skills

Tools & Core Competencies

Graduates will be able to write SQL queries, build Python scripts, apply statistical methods, create visualisations, build and evaluate machine learning models, and deploy deep learning models.

The Tech Stack

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

    • Python (Programming)
    • SQL, PostgreSQL (Database & Query)
    • Pandas, NumPy (Data Manipulation)
    • Matplotlib, Seaborn (Visualization)
    • Scikit-learn (Machine Learning)
    • TensorFlow, PyTorch (Deep Learning)
    • Jupyter Notebook [iPython] (Notebook Environment)
    • Git (Version Control)
    • BeautifulSoup, Requests (Web Scraping)
    • Django (Web Framework)
    • VS Code, Anaconda (Development Environment)
    • SciPy, Statsmodels (Statistics)

Core Technical Skills

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

    • SQL querying and database management
    • Python programming and scripting
    • Statistical analysis and hypothesis testing
    • Data wrangling with Pandas and NumPy
    • Data visualization with Matplotlib and Seaborn
    • Exploratory data analysis (EDA)
    • Feature engineering
    • Supervised learning (regression and classification)
    • Unsupervised learning (clustering)
    • Deep learning with neural networks (ANN, CNN, RNN)
    • Model evaluation and hyperparameter tuning
    • Model deployment

Soft Skills

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

    • Analytical Thinking: Breaking complex problems into data-driven questions.
    • Communication: Presenting findings clearly to non-technical audiences.
    • Problem-Solving: Selecting the right approach for different data challenges.
    • Collaboration: Working effectively with cross-functional teams.
    • Time Management: Meeting deadlines across multiple project stages.

Curriculum

Syllabus & Course Modules

The curriculum progresses from data fundamentals to advanced machine learning, with each module building on the previous one. Hands-on exercises with real-world datasets and practical assignments are included. The final module includes a capstone project where students apply their knowledge to a complete data science workflow.

Covers the full SQL toolkit a data scientist needs: from writing basic queries to advanced techniques like subqueries, CTEs, and window functions for real analysis projects.

Builds a strong Python foundation from scratch, covering data structures, control flow, functions, OOP, and practical patterns used daily in data science workflows.

The mathematical backbone of data science. Covers descriptive and inferential statistics, probability, hypothesis testing, and regression analysis with real data applications.

Hands-on data manipulation and visualization using Python’s most powerful libraries. Students work with messy, real-world datasets to practice cleaning, exploring, and presenting data insights.

Covers the core machine learning algorithms: regression, classification, and clustering. Students learn to select, train, evaluate, and improve models using Scikit-learn.

The capstone module. Students work with PyTorch and TensorFlow to build neural networks, tune hyperparameters, and deploy models. Ends with a full capstone project.

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.

Live Interactive Classes

Instructor-led sessions covering theory and live demonstrations.

Hands-on Assignments

Weekly coding exercises and projects using real datasets.

Peer Learning Community

Collaborate with cohort members on group challenges.

Capstone Project

Build an end-to-end data science solution for a real business problem.

Certification

Your Industry Credential

Upon successfully completing the program and passing the final examination, graduates are awarded a NovelTech Academy Certificate in Data Science.

This prestigious certificate serves as a formal recognition of the graduates’ demonstrated proficiency in key areas such as Python, SQL, statistics, machine learning, and deep learning.

These skills are honed through engaging hands-on project work and rigorous assessments, ensuring that graduates are well-prepared to excel in the field of data science. The certificate not only validates their technical expertise but also highlights their ability to apply these skills in practical, real-world scenarios.

Prerequisites

Admission Requirements

Prior Knowledge — No prior knowledge is necessary. The program begins with the basics and does not assume any previous experience in coding or data analysis.

Equipment — Participants will need a laptop equipped with at least 8GB of RAM, an Intel i5 or AMD Ryzen 5 processor (or equivalent), and 256GB of storage. A reliable internet connection is essential for attending online sessions.

Software — The program requires Python, Anaconda, VS Code, and Jupyter Notebook, all of which are available for free download. Detailed installation instructions will be provided during the orientation session.

Language — The course is conducted in English.

Age / Other – The program is open to individuals aged 16 and above. No specific degree or prior qualifications are needed.

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.

Data Science (September Cohort)

A 3-month intensive program covering SQL, Python, statistics, machine learning, and deep learning. Build real-world projects, gain hands-on experience with industry-standard tools, and graduate ready for data science roles in Nigeria's fastest-growing sectors and the global…

  • Apply Ends: August 28, 2026
  • Start: September 1, 2026
  • Limit: 25 seats (1 enrolment per user)
  • Modes: Hybrid (Online + Physical), Self-Pace (Recorded)
  • Duration: 3 Months Duration (1 Cohort Cycle)
  • Fees: ₦598,500.00
Apply to Cohort

Data Science (February Cohort)

A 3-month intensive program covering SQL, Python, statistics, machine learning, and deep learning. Build real-world projects, gain hands-on experience with industry-standard tools, and graduate ready for data science roles in Nigeria's fastest-growing sectors and the global…

  • Apply Ends: February 11, 2027
  • Start: February 15, 2027
  • Limit: 25 seats (1 enrolment per user)
  • Modes: Hybrid (Online + Physical), Self-Pace (Recorded)
  • Duration: 3 Months Duration (1 Cohort Cycle)
  • Fees: ₦598,500.00
Registration Opens January 7

Data Science (May Cohort)

A 3-month intensive program covering SQL, Python, statistics, machine learning, and deep learning. Build real-world projects, gain hands-on experience with industry-standard tools, and graduate ready for data science roles in Nigeria's fastest-growing sectors and the global…

  • Apply Ends: May 22, 2027
  • Start: May 25, 2027
  • Limit: 25 seats (1 enrolment per user)
  • Modes: Hybrid (Online + Physical), Self-Pace (Recorded)
  • Duration: 3 Months Duration (1 Cohort Cycle)
  • Fees: ₦598,500.00
Registration Opens April 13