Python for Data Science: How to Get Started (7 Ways)

Do you intend to work in the field of data science? A python is a fantastic option! This will cover all you need to know about learning data science with Python, including how to get started and what a Coding Dojo course entails.

Python: What Is It for Data Science?

To create a sense of enormous amounts of data, the area of data science integrates statistics, computer science, and business analysis. Data scientists apply their expertise to develop models that may make predictions or suggestions and identify data trends.

Python is an open-source programming code language with a straightforward syntax. Many data scientists use it to carry out various tasks, including data wrangling, analysis, visualization, and machine learning. It is highly versatile for data science.

Why Study Python to Learn Data Science?

Over 66% of data scientists reported using Python daily in 2018, making it the language of choice for them. Python is the best widely used programming language overall. By exposing you to the code, you’re most likely to use at work, choosing to learn data science with Python positions you for success.

Python is used in data science because…

Numerous factors make Python helpful in programming in data science. Here are just a few:

Simple – Python’s syntax is comparatively straightforward to read and understand. It’s simple to learn and is suitable for beginners.

Several potent data science libraries, including NumPy, pandas, and matplotlib, are available in Python.

Python is a flexible programming language, allowing data scientists to utilize it for various tasks, including web development and scientific computing.

Python is free and open source, so that anyone can use it. A sizable developer community also contributes to Python’s development.

Python Training for Data Science

Learning Python is an excellent method to start data science, and it’s pretty easy. Here are some tips you can use to master the fundamentals of Python:

1. Read books on Python data science

Although books can be a bit old-school, they’re excellent resources to familiarize yourself with technical subjects such as programming. A well-written, condensed book can give you a clear, distraction-free introduction to the fundamentals of an issue.

2. Check out tutorials about Python data science

Several top-notch Python lessons are available, like those on YouTube and DataCamp, for people who prefer to learn by doing and watching. Following along with the code can be a great way to practice fundamental Python skills and learn essential ideas.

3. Enroll in a Data Science Bootcamp

Enroll in a Python course like Coding Dojo’s Data Science Bootcamp if you want to dedicate yourself to learning data science and are prepared to make a time and financial investment.

Professionals in the field create these programs to equip you with the abilities and information required to pursue a data science career. They are perfect if you learn best with the assistance of a teacher or fellow students.

4. Complete projects involving Python data science

Doing is one of the great methods of learning anything. Once you’ve mastered the fundamentals, working on some real-world Python projects can enable you to further your understanding and gain experience. Numerous sources include projects you can work on that are intriguing for data science, like this one from Kaggle.

5. Obtain certification in Python Data Science

Even though it isn’t mandatory, obtaining a Python certification can help some people get employed or advance in their jobs. To become certified, you must clear a test administered by a professional organization, such as the Institute for Certified Computer Professionals.

6. Apply for a Python Internship

Consider applying for an internship whenever you have sufficient Python familiarity and are prepared to advance your abilities and knowledge through practical applications. This is a fantastic way to break into data science and gain some helpful experience.

7. Be a part of a Python community

Lastly, being involved in a group of people who share your interests is a fantastic method to learn Python for data science. You can join many online and offline communities, including PyLadies, Django Girls, and the Python Software Foundation. These are excellent locations to network, learn from others, and receive assistance as you study.