A Complete 20-Week Guide to Self-Learn Data Science Fundamentals for Free

A step-by-step guide to learn all the key concepts and become job-ready

Photo by Andrew Neel on Unsplash

Introduction

Self-learning data science can be stressful. There are a number of topics to learn and practice. Many people fail to sustain the energy required to get past the initial learning phase. The main reason for many people to fail or to see it as a difficult journey is,

• Lack of clarity on the topics to learn
• No single resource/platform is good to learn everything about data science.
• There are a ton of resources on the internet but identifying the ones most suitable for you is challenging
• It is easy to get lost in the details
• It is not easy to track the progress and test your skill while self-learning

People enrolling for a data science course, don’t face most of these issues. They have a support system to help and guide them. It is not the same case with people who are self-learning. This article will help you to better plan your learning journey. The timelines mentioned here are based on an average person. Depending upon your educational background and experience the timelines could slightly change for you…