What do you do if programming language knowledge is required in a data analytics interview?

Not only it is required to know a programming language (such as Python) but also being a good software engineer and knowing best practices is a necessary option for pioneer organizations. The analytic solutions should be delivered to production at the final stage and this is an occasion for data scientists to shine.

Knowing a programming language is not only expected it is essential for data analytics as you are expected to analyze the data & if required performing further operation like data cleaning or visualization so knowledge of a programming language is essential weather it is python or R or others. Also while learning a programming language say python rather learning all the advance concepts like django focus on the core fundamentals & focus on to the modules that are for your specific use case like for data analytics some of the commonly used libraries are pandas, numpy, matplotlib & seaborn. We can substitute python with data analytics but a programming language is highly essential. At last Enthusiasm plays a key role in learning anything.

??Start with the fundamentals of the required programming language, such as syntax and data structures. ??Engage in coding exercises and projects to reinforce your understanding and improve your proficiency. ?? Prioritize learning concepts relevant to data analytics, like data manipulation and analysis libraries. ??Utilize online tutorials, courses, and documentation to deepen your knowledge. ??Apply your programming skills to real-world data analytics projects to demonstrate your capabilities. ?? Don't hesitate to ask for help or guidance from peers, mentors, or online communities when you encounter challenges. ??Keep abreast of developments in the programming language and its applications in data analytics to stay relevant in the field.

Prepare Basics Learn Data Libraries SQL Proficiency Data Visualization Machine Learning Practice Stay Updated with core technologies

It's mandatory. In my opinion, before applying for data analytics position, you need to master a programming language such Python and R and some operation like data cleaning or visualization. You may also know some best practices and have some information about cloud, because you will need to make your process in production.

In the past, proficiency in SQL and Excel was considered essential for data analysts. However, with the exponential growth of data today, proficiency in a programming language has become equally vital. Learning the fundamentals through courses or training and applying programming knowledge to analyze large datasets is crucial and highly beneficial. In today's landscape, it's imperative for analysts to possess coding skills, marking a shift from a time when coding was optional.

If programming language knowledge is required in a data analytics interview, highlight your experience in relevant languages such as Python, R, SQL, or others. Emphasize any projects or coursework where you utilized programming to manipulate and analyze data effectively. Showcase your ability to write clean, efficient code for tasks like data cleaning, transformation, and statistical analysis. Additionally, demonstrate your problem-solving skills by discussing how you've overcome challenges or optimized processes using programming languages in previous roles or academic projects. By highlighting your experience and proficiency in programming languages, you can showcase your readiness to excel in a data analytics role.