Course Overview
Data is the most valuable currency in the modern world, and the ability to analyze it is the most sought-after skill of the decade. 99learn presents a comprehensive Data Science Recorded Class, designed specifically for learners who need high-quality education without the rigidity of fixed schedules.
This course takes you from "I’ve never written code" to building predictive machine learning models. We strip away the complex academic jargon and focus on the practical tools and frameworks used by top tech companies today.
Why Choose This Recorded Course?
Total Flexibility: No live deadlines. No missed classes. Learn early in the morning or late at night. You control the pace—speed through what you know, and take your time on complex topics.
Lifetime Access: Re-visit the material whenever you need a refresher, even after you’ve finished the course.
Project-Based Learning: Theory is useless without practice. You will work on real-world datasets (finance, healthcare, e-commerce) to build a portfolio that proves your skills to employers.
What You Will Learn:
Python for Data Science: Master the industry-standard language, including libraries like Pandas and NumPy for data manipulation.
Exploratory Data Analysis (EDA): Learn how to "read" data, clean messy datasets, and uncover hidden patterns.
Data Visualisation: Tell compelling stories with data using Matplotlib and Seaborn.
Machine Learning Fundamentals: Build and evaluate models using Scikit-Learn (Linear Regression, Classification, Clustering).
Statistical Foundations: Understand the math behind the decisions without getting lost in formulas.
Who Is This Course For?
Beginners looking to launch a career in Data Science or Analytics.
Software Engineers wanting to integrate AI/Data skills into their toolkit.
Business Analysts and Managers who want to make data-driven decisions.
