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Ultimate-Job-Ready-Data-Science

This all-in-one Job-Ready Data Science Course designed for beginners and intermediate learners to master data science skills and become industry-ready with hands-on experience.

Meet Your Instructor: codewithharry

codewithharry is an experienced software engineer and educator with expertise in modern web development technologies. With years of industry experience, codewithharry brings real-world knowledge and practical insights to every lesson. Known for clear explanations and hands-on teaching methods, codewithharry has helped thousands of students master programming concepts and advance their careers in technology.

Industry ExpertExperienced EducatorPractical Focus

Course Overview

This comprehensive course is designed to take you from foundational concepts to advanced implementation. You'll learn through a combination of theoretical understanding and hands-on practice, building real-world projects that demonstrate your skills and enhance your portfolio.

Whether you're looking to start a new career in technology or advance your current skills, this course provides the structured learning path and practical experience you need to succeed in today's competitive tech industry.

Course Curriculum

Master Python programming from a data science perspective

Perform powerful data analysis using Pandas and NumPy

Create stunning data visualizations with Matplotlib and Seaborn

Understand and apply core statistics and probability concepts

Clean and preprocess real-world datasets for accurate insights

Work on real-life projects

Use Jupyter Notebooks for data-driven development

Course Syllabus

Introduction to Data Science

Understanding the Conda Environment

Python Refresher (For Data Science)

Project 1 Coders of Delhi

Data analysis using NumPy

Data Analysis using Pandas

Data Visualization using Matplotlib and Seaborn

Data Collection Techniques

SQL for Data Science

Probability

Probability Distributions and Central Limit Theorem

Machine Learning for Data Scientists

Types of ML Algorithms

Practical ML using Scikit-learn

Deep Learning & Neural Networks

Web Development for Data Scientists

Large Language Models

Leveraging AI as a Data Scientist

Git for Data Scientists

Project 2 RAG based AI Teaching Assistant

Conclusion

Bonus Videos

Requirements

No prior experience in data science is needed
Basic computer skills and internet access
Willingness to learn and solve real-world problems
Curiosity and consistency
Stable internet connection for accessing course content
Basic familiarity with using the terminal/command line (helpful but not required)