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Data Science & Analytics

Data Science with Python & Machine Learning

Gain hands-on skills in Python, machine learning, AI, and big data tools—everything you need to thrive in data science and innovation

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0 students enrolled Last updated Jul 2026 English
Tijani Bulama
Created by Tijani Bulama

What You'll Learn

Fundamentals of Data Science
Data Wrangling & Preparation
Exploratory Data Analysis
Machine Learning Algorithms
Deep Learning & Neural Networks
Big Data & Cloud Tools
Data Visualization & Storytelling
AI for Business & Industry
Model Deployment & MLOps Basics
Real-World Data Science Projects

Requirements

  • No prior programming experience required
  • Basic mathematics (algebra and statistics helpful)
  • A computer

Course Description

Unlock the skills to solve complex problems with data. With Mapelead’s data science training, you’ll gain hands-on knowledge in Python, machine learning, and AI to analyze patterns, make predictions, and build innovative solutions. Our programs are designed for both beginners and professionals—covering data wrangling, advanced analytics, deep learning, and big data tools. Learn from industry experts, work on real-world projects, and position yourself for global career opportunities in data science.

Course Curriculum

12 lessons · 100h total
Python Crash Course: Variables, Data Types & Control Flow
30m
Functions, List Comprehensions & File Handling
25m
NumPy: Fast Numerical Computing
35m
Pandas: DataFrames, Indexing & Data Cleaning
40m
Exploratory Data Analysis (EDA) Workflow
35m
Data Visualisation with Matplotlib & Seaborn
30m
Statistical Analysis: Distributions, Hypothesis Testing
40m
Storytelling with Data: Building Dashboards
25m
Supervised Learning: Regression & Classification
45m
Model Evaluation, Cross-Validation & Hyperparameter Tuning
35m
Unsupervised Learning: Clustering & Dimensionality Reduction
30m
Capstone: End-to-End ML Project from Kaggle Dataset
45m

Your Instructor

Tijani Bulama

Tijani Bulama

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Data Science with Python & Machine Learning
NGN 850,000
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This course includes:

  • 100 hours of content
  • 12 lessons
  • Physical learning
  • Beginner level
  • Certificate of completion
  • Lifetime access

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Who is this course for?

  • Business analysts who want to add data science skills
  • Graduates seeking careers in data and analytics
  • Professionals looking to make data-driven decisions
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