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Data Science

Learn how to harness data, build predictive models, and drive innovation with machine learning techniques. This course takes you through the journey of data science, from foundational principles to advanced machine learning techniques.

Starting: Feb 10, 2025

10 Seats left

Physical: 4 Months (Three times weekly)

Virtual: 5 Months (Weekend classes – Saturday and Sunday)

Tools

Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn), Jupyter Notebook, SQL, TensorFlow, Power BI

Beginner

Perfect for beginners with little to no prior experience in Data Science.

About Course

The demand for Data Scientists is skyrocketing as businesses across industries leverage data for decision-making and innovation. This course offers a deep dive into the essential concepts of data science and machine learning, equipping you with the skills to work with large datasets, create predictive models, and deliver actionable insights.

Starting with data wrangling and analysis, the course progresses to hands-on training in machine learning algorithms, model evaluation, and optimization. You’ll learn to work with Python libraries, implement regression, classification, and clustering models, and explore neural networks using TensorFlow.

By the end of the course, you’ll be ready to apply data science principles in industries such as finance, healthcare, and technology.

Prerequisites

What you'll Learn?

Data Wrangling and Visualization

Master techniques to clean, organize, and visualize data for analysis.

Foundations of Machine Learning

Understand the core concepts of machine learning, including supervised and unsupervised learning.

Building and Evaluating Models

Learn to implement and optimize regression, classification, and clustering models.

Introduction to Neural Networks

Dive into deep learning basics using TensorFlow for simple neural network models.

Data-Driven Storytelling

Present data and machine learning insights effectively with tools like Power BI and Matplotlib.

Projects you'll build

During the course, you’ll work on projects like

Pricing

Flexible pricing

Unlike other Academy that hide their prices, we’re upfront about our costs, making accessibility and affordability our priority.

One Time Payment

₦400,000

₦380,000

Make the full payment when you register, and you’re off to the races!

2 PAYMENTS OF

₦200,000

Make one payment when you register, and then 1 more a month apart.

Benefits

Why Choose This Course?

Expert Mentorship

Learn directly from industry leaders who’ve designed for top tech companies.

Hands-On Projects

Make the full payment when you register, and you’re off to the races!

Get a Certificate

Graduate with a portfolio that showcases your ability to create impactful designs.

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Community Support

Make the full payment when you register, and you’re off to the races!

What our Students Say

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Robiu Anan
Product Design

The Product Design course was so practical and easy to follow. The lessons were broken down step by step, and I loved how the instructors were always ready to assist. I now feel more confident using design tools to create user-friendly interfaces.

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Wahab Arogundade
Backend Developer

The Product Design course was so practical and easy to follow. The lessons were broken down step by step, and I loved how the instructors were always ready to assist. I now feel more confident using design tools to create user-friendly interfaces.

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Ridwan Adeoye
Product Designer

I’ve always wanted to learn product design, but I didn’t know where to start. Tecton Academy made everything so clear. The practical assignments helped me improve my design skills, and the feedback sessions were so helpful.

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Farouk Junaid
Product Manager

The Product Management course was eye-opening for me. I loved how the instructors simplified complex concepts like roadmapping and stakeholder management. The real-life scenarios used during the lessons made everything relatable and practical.

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Riliwan Ayodeji
Backend Development

Learning backend development at Tecton Academy was such a great experience. I didn’t know anything about Django before, but the classes made it easy to grasp the concepts. The instructors were patient and very supportive.

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Mary Fidelis
Product Designer

The Product Design course was well-structured, and the examples used in class made it easy to understand. I especially loved learning about user research and prototyping—it really opened my eyes to the design process.

FAQs

Frequently asked questions

Basic knowledge of programming, especially Python, is beneficial but not mandatory.

Physical classes are held in-person three times a week for 4 months, while virtual classes are conducted over weekends for 5 months. Both offer the same comprehensive curriculum.

Yes, coding for data science will be taught from the ground up. Advanced topics will build on these foundations.

Absolutely! The course includes practical assignments and projects with real-world datasets.

Yes, instructors will guide you throughout the course and provide feedback on your projects.

Let's unlock the power of Data Science together!

Learn Python, machine learning algorithms, and data visualization to extract valuable insights and solve complex problems using data.