LearnData Science

Data Science

Build machine learning models and extract insights from data using Python and statistics.

7 modules41 hours28 lessonsIntermediate

What you will learn

What data science is and how it differs from data analytics

Python programming for data science

Data wrangling with pandas and NumPy

Statistical concepts that underpin machine learning

Exploratory data analysis and feature engineering

Building and evaluating machine learning models with scikit-learn

Data visualisation with Matplotlib and Seaborn

Deploying models and communicating results

Introduction to Data Science

Understand what data science is, how it differs from analytics, and why Python is the tool of choice.

Python for Data Science

Build fluency in core Python, NumPy arrays, pandas DataFrames, and charts with Matplotlib and Seaborn.

Data Collection and Cleaning

Pull data from files, databases and APIs, clean messy datasets, and work with Nigerian public data from CBN, NBS, FIRS and NIMC.

Exploratory Data Analysis

Use descriptive statistics, correlation, pivot tables and EDA charts, then run a full Nigerian e-commerce case study.

Machine Learning Fundamentals

Learn the types of machine learning, train regression and classification models with scikit-learn, and evaluate them properly.

Real-World Projects

Plan projects like a professional, analyse NGX stocks, predict telecom churn, and build a portfolio that gets interviews.

Getting Hired

Choose your data career path, plan certifications, prepare for data science interviews, and land and negotiate your first job.

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