How Python Can Help You Land a Data Science Job

How Python Can Help You Land a Data Science Job

How Python Can Help You Land a Data Science Job

Learning Python is essential to become a valuable candidate for data science jobs. Python will kickstart your career in data science as it plays a major role in landing a data science job. A career in data science is unimaginable without Python as it is essential for data scientists to build statistical and predictive models with data cleaning, manipulation, and visualization. If you want a successful career in data science then you must have knowledge of Python. In this blog, we will explain how Python can help you land a data science job. Stay tuned.

What Is Python?

Python is the latest object-oriented and dynamic programming language that features impressive high-level built-in data structure. Unlike Java programming language which is used only for web development, Python is versatile - it can be used with all kinds of data, coding, and mathematical computations.  As the syntax of Python is straightforward and easy to read, data scientists find it easy to learn and use.

What Can You Do With Python in Data Science?

Data scientists use Python programming language for data cleaning, manipulation, and visualization- they also build statistical and predictive models with it. Its built-in libraries allow one with a data science job to perform statistical data analysis without coding. Its libraries such as Matplotlib, NumPy, and Pandas make data cleaning, data analysis, data modeling, and data visualization more efficient and easier.

One of the major reasons why Python is used in data science is because its open-source nature makes it accessible to everyone for free. Python is the most popular programming language for data science among data scientists.

How Can Python Help You in Data Science?

Becoming a data scientist in Nepal needs a smooth workflow and collaboration with other data scientists in Nepal. One important thing you will need is a simple programming language that is sophisticated enough to handle complex data analytics and helpful in building machine learning algorithms. Below are the points on how can Python help you in data science.

  • Python is Easy to Learn

Python's learning curve is shallow and it is because of its simplicity. You may find data scientists who lack a computer science background and doesn’t have prior experience in programming. Because of its easy-to-understand syntax, Python is a quick-to-learn programming language choice among those who want to land a data science job.

  • Free Online Resources to Learn Python

You can find hundreds of resources to learn Python online. Because of the growing data science community that provides free online learning resources, it has become much easier to learn Python. If you encounter any confusion or questions regarding the Python programming language, there are many active forums where your questions can be answered easily.

  • Employers Prioritize Python

Data science jobs list Python skills as a top job requirement. Employers give priority to those with Python skills for data science jobs in Nepal over other programming languages. Python is the most in-demand technical skill for data science jobs. According to a survey, data science jobs asked candidates to have Python programming skills.

How to Learn Python for Data Science Job?

Data scientists use Python to retrieve, clean, visualize and build models using the data but not for developing applications. So, if you want to learn Python for Data Science, your main focus should be on how to use the libraries and modules to do data science tasks. Here’s the step-by-step guide on how to learn Python for data science.

  • Install Python

Learning the Python journey starts with installing Python software on your computer. Since Python is open-source software, it is free for everyone. You can simply go straight to the Python website and download the correct version of the programming language software for your operating system.

  • Configure Your Programming Environment

The Python programming environment combines both a text editor and runtime implementation. You will find lines of code in the text editor and the runtime implementation is what provides code execution methods. You can either use a notepad as a text editor or an IDE (Integrated Development Environment) with an integrated test runner, code highlighter, and syntax checker. There is a range of IDEs you can use but the most common one is PyCharm - consider installing it. It is an open-source and free IDE that is compatible with all major operating systems.

  • Learn Basic Fundamentals of Python

Once you have installed Python and your programming environment is ready, you now have to be familiar with the basic concepts and commands of Python. Learn different basic functions and data structures such as tuples, sets, strings, lists, dictionaries, and libraries to understand the basic fundamentals of Python.

  • Learn Basic Libraries for Data Manipulation

Now it’s time to learn how to use basic libraries for data manipulation. Pandas and NumPy are the most common libraries that are used for exploratory data analysis. It is better you start with NumPy as Pandas is an extension of NumPy. It allows you to do data tasks on highly optimized multidimensional arrays. They are the basic data structures for machine learning algorithms. Once you understand how to use NumPy, you can now learn Pandas as it is useful to perform data munging or data wrangling which are the first and most important steps in data analysis.

  • Learn Advance Concepts

Once you cover the basic fundamentals of Python and its programming environment, you can now start learning advanced concepts to become a data science professional. Start with key concepts like conditional statements, statistical operations, machine learning, data visualization, and working with databases. Make sure you solidify your data knowledge and skills with practical exercises. Taking real projects will give you the confidence to help create pieces you can later add to your portfolio.

 

Python is easy to learn and helps to grasp the basics in a very short time. Although it is not always an essential requirement, landing a data science job in Nepal generally demands a basic knowledge of Python. It gives you an advantage as you apply for data science jobs in Nepal, particularly in subfields such as machine learning, neural networks, unsupervised learning, and deep learning. If you have enough Python skills and want to land a data science job in Nepal, you can apply for the data science jobs at JobAxle.Also check out our latest python jobs in Nepal.