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Data Science: A Simple Path for Beginners
Latest   Machine Learning

Data Science: A Simple Path for Beginners

Last Updated on July 20, 2023 by Editorial Team

Author(s): Surya Govind

Originally published on Towards AI.

How to start? Learn all you need in one year

Photo by Austin Distel on Unsplash

First, What is Data Science:

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data.

Data science is a “concept to unify statistics, data analysis, machine learning, and their related methods” to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science.

All the mentioned courses depend on your choice if you have a better way to learn, definitely go for that too.

Month 1: Getting started

  1. find out what is data science.
  2. Find out about the skills needed for data science.
  3. Attend meetups and workshops.
  4. Talk to experienced data scientists.

Month 2 + 3: Basics of maths

  1. Udacity course: Descriptive Statistics.
  2. EDX course: The Science of Uncertainty, Introduction to Probability.
  3. Khan Academy: Linear Algebra.
  4. Udacity course: Inferential Integrity.

month 4 + 5: Learn Python

  1. Learn Python with free online resources.
  2. Datacamp course: Introduction to Python for data science.
  3. Read about feature selection.
  4. Coursera course: Exploratory data analysis.

Month 6 + 8: ML tools

  1. Coursera course: Machine learning.
  2. Coursera course: Machine learning classification.
  3. Udacity course: Introduction to machine learning.
  4. Find more books about machine learning.

Month 9 + 10: Build your profile

  1. Create your GitHub profile.
  2. Practice at competitions on Kaggle analytics Vidhya data hack.
  3. Participate in discussions on the Kaggle forum.

Month 11 + 12: Apply and practice

  1. Identify the right job at the right company.
  2. Apply for internships for jobs.
  3. Keep practicing with Kaggle analytics Vidhya data hack.
  4. Don’t give up.

The most important task: practice, practice, and practice.

Just keep in mind, Nothing comes to you as it already belongs to you. It’s your hard work and discipline that make it yours.

I hope you will get success.

Happy Data Science Learning.

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