Data analysts don’t regularly need to write algorithms. But when they do, it might be something that can help them in data analysis. This data analyst interview question is such an example because it asks you to find the closest sum to the target. This or something similar is done using...
import pandas as pd # Read the CSV file into a pandas DataFrame data = pd.read_csv('data.csv') # Handle missing values data.dropna(inplace=True) # Handle outliers for column in data.columns: data[column] = handle_outliers(data[column]) # Encode categorical variables for column in data...
Section 4: Python DataFrame Interview Questions Lecture 7 Python Interview Questions – DataFrame This course discuss some of the tricky coding interview questions, most commonly asked for Data Analyst job interviews. These are also asked for Data Scientist/ data engineer interviews in the preliminary ...
Statistical Methods:Identify outliers based on statistical properties such as mean and standard deviation. For example, values that are more than 3 standard deviations from the mean can be considered outliers.pythonCopy codeimport numpy as np mean = np.mean(data) std_dev = np.std(data) outliers...
In addition to being great for new learners, Python has a vast, active online community, which is a great resource for sharing code, troubleshooting, and working to evolve the programming language. If you’re interested in becoming a data analyst, it’s essential to learn Python, as many ...
10. Data Structures & Algorithms in Java by Great Learning Tips to Choose the Best Online Java Course Conclusion Frequently Asked Questions About Java Courses Q.1: Can I get Java certification for free? Q.2: Will Java Certification get me a job? Q.3: What is the highest-paid job in Ja...
Python provides several libraries for analysis, such as pandas and NumPy and for data visualisation, such as Matplotlib. These libraries enable Python developers to analyse complex material and create visualisations to aid decision-making.Related: Frequently Asked Questions: What Is A Data Analyst?
Go through these Top Python OOPS Interview Questions and Answers to crack your interviews. 7. Rodeo Rodeo is the most used IDE for data science projects. It’s best used for taking information from multiple sources and plotting the same to tackle the issues. Rodeo supports cross-platform. Fe...
Also, prepare for job interviews with our Python interview questions, prepared by industry experts. Functions in Python - FAQs 1. Why are functions important in Python? Functions make code reusable, organized, and easier to debug. 2. What are the four types of functions in Python? 3. What...
Data Analysis In-depth, Covers Introduction, Statistics, Hypothesis, Python Language, Numpy, Pandas, Matplotlib, Seaborn and Complete EDA Completing this course will also make you ready for most interview questions for Data Analysts Role This is Pre-requisite for Machine Learning, Deep Learning, Rein...