Tutorials on Data Analytics

List out some of the best practices for data cleaning? Some of the best practices for data cleaning includes, Sort data by different attributes For large datasets cleanse it stepwise and improve the data with each step until you achieve a good data quality For large datasets, break them into small data. Working with less … Read more

Have you earned any certifications to boost your career opportunities as a Data Analyst? Hiring managers appreciate a candidate who is serious about advancing their career options through additional qualifications. Certificates prove that you have put in the effort to master new skills and knowledge of the latest analytical tools and subjects. While answering the … Read more

When do you think you should retrain a model? Is it dependent on the data? Business data keeps changing on a day-to-day basis, but the format doesn’t change. As and when a business operation enters a new market, sees a sudden rise of opposition or sees its own position rising or falling, it is recommended … Read more

Mention what are the missing patterns that are generally observed? The missing patterns that are generally observed are Missing completely at random Missing at random Missing that depends on the missing value itself Missing that depends on unobserved input variable What is a good data model? The criteria that define a good data model are: … Read more

What are the benefits of using version control? The primary benefits of version control are – Enables comparing files, identifying differences, and merging the changes Allows keeping track of application builds by identifying which version is under development, QA, and production Helps to improve the collaborative work culture Keeps different versions and variants of code … Read more

Explain the difference between R-Squared and Adjusted R-Squared. The R-Squared technique is a statistical measure of the proportion of variation in the dependent variables, as explained by the independent variables. The Adjusted R-Squared is essentially a modified version of R-squared, adjusted for the number of predictors in a model. It provides the percentage of variation … Read more

As a data analyst, you’ll often work with stakeholders who lack technical background and a deeper understanding of data and databases. Have you ever been in a situation like this and how did you handle this challenge? Data analysts often face the challenge of communicating findings to coworkers from different departments or senior management with … Read more

What is the Metadata? Metadata refers to the detailed information about the data system and its contents. It helps to define the type of data or information that will be sorted. Do you have any questions? At the close of the interview, most interviewers ask whether you have any questions about the job or company. It’s … Read more

How would you assess your writing skills? When do you use written form of communication in your role as a data analyst? Working with numbers is not the only aspect of a data analyst job. Data analysts also need strong writing skills, so they can present the results of their analysis to management and stakeholders … Read more

What do you do for data preparation? Since data preparation is a critical approach to data analytics, the interviewer might be interested in knowing what path you will take up to clean and transform raw data before processing and analysis. As an answer to this data analytics interview question, you should discuss the model you … Read more