How should I learn data science and machine learning?

Question

Could someone tell me how to learn Data Science and Machine Learning?

Answer 1

If you are a beginner and just starting out, I would recommend checking out all the resources on the internet first to build a strong foundation of the fundamentals of both domains. You can easily refer to video tutorials, free courses, blogs, e-books, journals, etc. Here is a YouTube playlist curated by Intellipaat that covers in-depth the Data Science domain - 

Below is another comprehensive tutorial for Machine Learning:

All these tutorials are aimed at helping out beginners such as yourself learn the domains from scratch in an effective manner. 

As a Data Science aspirant, you will need to acquire the following skills:

• Data Exploration

• Data Manipulation

• Data Visualization & Communication

• Python

• R programming

• Big Data Hadoop

• Machine Learning and AI

• Statistics

• SQL Database/Coding

• Apache Spark

• Multivariable Calculus & Linear Algebra

• Logistic Regression

• Decision Trees and Random Forest

• Unsupervised Learning

• Association Rule Mining and Recommendation Engines

For Machine Learning, you should acquire the following skills:

• Supervised Learning and Linear Regression

• Classification and Logistic Regression

• Decision Tree and Random Forest

• Naïve Bayes and Support Vector Machine 

• Unsupervised Learning

• Natural Language Processing and Text Mining 

• Deep Learning

• Time Series Analysis 

Intellipaat has a carefully curated Data Science course and a Machine Learning course. Make sure to consult the course advisors at Intellipaat to find out which training will be suitable for you. The courses offer 24/7 learning support, the opportunity to work on real-time industrial projects, as well as placement assistance.