2025 Tech & Data Role Salary Guide
Comprehensive 2025 salary guide for tech and data roles: data scientist, engineer, analyst, and more. Explore trends, top skills, and career advice.
Master your next data science interview with expert insights, practical examples, and proven strategies from industry professionals.
Comprehensive 2025 salary guide for tech and data roles: data scientist, engineer, analyst, and more. Explore trends, top skills, and career advice.
Explore 2025 business analyst salaries, career growth, top skills, and industry trends. Learn how to maximize your earning potential as a business analyst.
Discover 2025 business intelligence salaries, career paths, top skills, and industry trends. Learn how to advance your BI career and maximize your earnings.
Want to land a data science job interview with Amazon? How to crack the code! This guide is packed with tips and tricks for succeeding in today's competitive market.
A curated list of the top 20 machine learning interview questions from companies like Facebook, Amazon, and Microsoft, covering fundamentals, data analysis, and statistics.
Learn how to use SQL window functions for aggregation to solve interview-style questions, including ranking and total spend calculations.
Learn how to use SQL window functions LEAD() and LAG() to analyze historical data, including consecutive year-over-year raises.
Learn how to do SQL joins and use window functions like RANK() to solve interview questions. Provided by InterviewQs, a mailing list for coding and data interview problems.
A comprehensive guide to landing a Data Scientist role at Facebook, covering required skills, the interview process, example questions, and preparation tips.
A curated guide covering 70 data science and analyst interview questions, tips, and strategies for landing a Google Data Analyst role.
Learn how to use SQL nested subqueries to solve interview-style problems, including cumulative totals and windowing functions.
Learn how to effectively answer behavioral interview questions using the STAR Method (Situation, Task, Action, Result) and prepare for your data science interviews.
Using Bayesian inference to estimate optimal bids in The Price is Right Showcase round, incorporating historical data and risk adjustments.
Discover 11 excellent websites for finding free, interesting datasets to practice data analysis, build projects, and enhance your portfolio.
A hands-on guide to modern portfolio theory: simulate thousands of random portfolios in Python to visualize the efficient frontier and identify the optimal Sharpe ratio allocation.
Explore the St. Petersburg Paradox, a probability and decision theory paradox, and see a Python simulation illustrating expected versus median winnings.
Walk you through a quick simulation of future stock returns for AAPL using Python + Monte Carlo methods.
Learn how to calculate the Value at Risk (VaR) of a stock portfolio using Python and variance-covariance methods to quantify financial risk.
A case study exercise for an eCommerce company, analyzing sales, customer satisfaction, and proposing areas for business improvement using Kaggle data.
A step-by-step tutorial showing how to analyze NBA player stats and build single-variable and multivariate linear regression models using Python.
A financial comparison of the return on investment (ROI) from attending college versus skipping college, entering the workforce, and investing tuition in the stock market.
A curated list of 45 data analyst interview questions across statistics, programming, SQL, and behavioral/business scenarios to help with interview prep.
Analyzing hundreds of thousands of news headlines with Textblob to determine which publications are the most positive.
Learn SQL fundamentals focusing on SELECT, FROM, and WHERE clauses to pull and filter data from database tables.
An analysis of why companies are moving toward open offices, highlighting shrinking office space per employee and the cost savings driving the trend.
A step-by-step Python code example demonstrating how to classify wine quality using machine learning.
A curated list of 70 data science and analyst interview questions covering statistics, modeling, programming, SQL, and behavioral topics.
Many executives in public companies sit on multiple boards of directors, creating direct links between companies through shared board memberships.
Learn how to pull stock price data with Python and analyze correlations between different companies' stock returns using a Seaborn heatmap.
Learn how to send emails using Python through Gmail with this step-by-step tutorial. Provided by InterviewQs, a mailing list for coding and data interview problems.
Learn how to read from and write to a Google Spreadsheet using Python and the Google Sheets API through a step-by-step tutorial.
Learn how to use the Python Reddit API Wrapper (PRAW) to scrape key information from Reddit and analyze which domains generate the highest scoring posts.
Step-by-step tutorial on web scraping multiple web pages using Python with Beautiful Soup and requests, including data extraction and conversion to CSV.
An exploration of breakfast cereal trends, including product lifespans, new launches by decade, and strategies manufacturers use to keep cereal sales alive.
Explore which US counties have the highest annual savings potential, visualized interactively. Provided by InterviewQs, a mailing list for coding and data interview problems.
Explore which US counties offer the highest potential for savings by comparing median income to minimum cost of living. Includes interactive charts and raw data sources.
Analyze which McDonald's menu items provide the most calories for your dollar, including insights on protein calories per dollar.