Are you thinking of a career as a data scientist? Many people find the fundamentals of data science intimidating, especially if they are new to the field or don’t have any programming experience.
You will be able to grasp the fundamental knowledge you need to succeed if you are part of a structured program.
We have compiled a list of nine easy ways to learn data science and all the nuances that go with it. Get started today with Coding Dojo!
What is Data Science?
Data science is an interdisciplinarity field that combines mathematics, statistics, programming and AI with machine learning. Data scientists are skilled at making sense of unstructured data and turning it into useful analytics that will help businesses make better decisions.
Data science is the art of understanding and interpreting data.
Why learn data science?
These are compelling reasons to study data science
Data Science is a highly in-demand career field. There are many opportunities to break into this industry and work your way up.
Data scientists are highly sought-after, and they are well-paid. Entry-level positions start at $100,000
Data scientists are needed in every industry. The possibilities are endless: finance, healthcare, retail, technology, automotive, and so on.
Because of the high demand for data scientists across many sectors, there is great job security. This field has seen a 6.5x increase in employment over the past few years, making it one the fastest-growing.

How to Learn Data Science
We know that learning something new can be daunting and difficult. We have nine easy ways to learn data science. You can make learning data science easier by breaking down concepts or looking for specific avenues of learning.
1. Register for a Data Science Bootcamp
Coding Dojo offers a part-time online Data Science Bootcamp. This bootcamp teaches you everything, from the basics to how to apply your learning.
We offer a free course to teach you how to code, even if you have never learned it. Our data science bootcamp is for you, whether you are a beginner or an expert in arithmetic. You’ll also have the opportunity to consolidate your knowledge and build upon them.
What you’ll learn:
Python for Data Science
Data modeling
Data Visualization
Statistics for Data Science
Algorithms for Data Science
Data Science Databases
Data Analysis Methods
Machine Learning
Deep Learning
Neural Networks

2. Get a free Python course
A data science career requires knowledge of Python. This programming knowledge can be used to design websites, applications, and databases. It also allows you to create data visualization and machine-learning models. All of these are vital pillars of data sciences.
There is also a course at Coding Dojo! Register now for our Intro to Python course.
This 2-hour workshop will teach you the basics of Python.
What you’ll learn:
Python Coding Basics
Python Libraries
Variables, data types, lists, and conditional logic
How to Make a Game and Play with a Computer

3. Data Science Tutorials for Beginners
Some people find watching videos more interesting than reading articles. You can learn more about data science by watching online tutorials. You may be able to grasp basic concepts and gain an advantage when you start your studies for a career as a data scientist.
These tutorials are a great way to get started in data science. However, it is important to continue learning and applying what you have learned.
These are some of the best:
Data Science Tutorial for Beginners (Simplilearn).
Learn Data Science Tutorial – Full Course for Beginners (FreeCodeCamp).
Data Science Full Course – Learn Data Science In 10 Hours (Edureka).

4. Data Science Books for Beginners
A data science book is a great choice for someone who loves to read. It is much easier to find specific topics and refer back to concepts through the table of content and glossary than it is to search through a lot of information online.
These are some of the best:
Practical Statistics for Data Scientists
Introduction to Probability, 2nd edition
Python Crash Course 2nd Edition

5. Data Science Projects: Practice
Doing hands-on learning is the best way to retain information. After you have mastered basic coding, you can start data science projects on Github. This is an open-source, collaborative code base.
Fake News Detection (Github).
Road Lane Detection (Github).
Sentimental Analysis (Github).

6. Listen to Data Science Podcasts