Career in Data Science

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Building a Successful Python Career: Tips and Advice

Do you want to build a career in Python? In this article, I will explain how to start your Python career and give you some tips and advice to make it an efficient and successful process. In recent years, I've observed many individuals transitioning into Python programming roles—especially in software development, Artificial Intelligence, and data science. The main reason behind these career shifts is the high and increasing demand for skilled people in these areas.

Kateryna Koidan

Why Every Organization Needs a Data Analyst

There is so much hype around the data scientist role these days that when a company needs a specialist to get some insights from data, the first idea is to look for a data scientist. But is it really the best option? Let's see how the roles of data scientists and data analysts differ and why you may want to hire an analyst before any other role. Data Scientist or Data Analyst?

Kateryna Koidan

11 Tips for Building a Data Science Portfolio With Python

Looking for some advice to build a data science portfolio that will put you ahead of other aspiring data scientists? Don't miss these useful tips. Why Have a Portfolio at All? Even though the demand for data scientists is high, the competition for entry-level positions in this field is tough. It should come as no surprise that companies prefer to hire people with at least some real-world experience in data science.

Kateryna Koidan

Data Science Projects in Python: A Beginner's Guide

When you already have some experience with Python, building your own portfolio of data science projects is the best way to showcase your skills to potential employers. But where do you begin with developing your very first Python project? First, Why Develop a Data Science Project? There are a number of career development benefits to creating your own data science project in a language such as Python: Studying.

Kateryna Koidan

15 Python Interview Questions for Data Science Jobs

Looking for a data science job? Then you've probably noticed that most positions require applicants to have some level of Python programming skills. But how are they going to test this? What are they going to ask? Let's prepare you for some interview questions! Why Do Data Scientists Need Python? Data science goes beyond simple data analysis and requires that you be able to work with more advanced tools. Thus, if you work with big data and need to perform complex computations or create aesthetically pleasing and interactive plots, Python is one of the most efficient solutions out there.