Explore the progression of average salaries for graduates in Environmental And Resource Engineering (Substantial Coursework In Statistical Analysis) from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Environmental And Resource Engineering (Substantial Coursework In Statistical Analysis) relative to other fields. This data is essential for students assessing the return on investment of their education in Environmental And Resource Engineering (Substantial Coursework In Statistical Analysis), providing a clear picture of financial prospects post-graduation.

Unlock valuable salary insights with our comprehensive Salary Dataset, designed for businesses, recruiters, and job seekers to analyze compensation trends, workforce planning, and market competitiveness.

Dataset Features

Job Listings & Salaries: Access structured salary data from top job platforms, including job titles, company names, locations, salary ranges, and compensation types. Employer & Industry Insights: Extract company-specific salary trends, industry benchmarks, and hiring patterns. Geographic Pay Disparities: Compare salaries across different regions, cities, and countries to identify location-based compensation trends. Job Market Trends: Monitor salary fluctuations, demand for specific roles, and hiring trends over time.

Customizable Subsets for Specific Needs Our Salary Dataset is fully customizable, allowing you to filter data based on job titles, industries, locations, experience levels, and salary ranges. Whether you need broad market insights or focused data for recruitment strategy, we tailor the dataset to your needs.

Popular Use Cases

Workforce Planning & Talent Acquisition: Optimize hiring strategies by analyzing salary benchmarks and compensation trends. Market Research & Competitive Intelligence: Compare salaries across industries and competitors to stay ahead in talent acquisition. Career Decision-Making: Help job seekers evaluate salary expectations and identify high-paying opportunities. AI & Predictive Analytics: Use structured salary data to train AI models for job market forecasting and compensation analysis. Geographic Expansion & Business Strategy: Assess salary variations across regions to plan business expansions and remote workforce strategies.

Whether you're optimizing recruitment, analyzing salary trends, or making data-driven career decisions, our Salary Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

Dataset Card for Data Science Job Salaries

  Dataset Summary





  Content

Column Description

work_year The year the salary was paid.

experience_level The experience level in the job during the year with the following possible values: EN Entry-level / Junior MI Mid-level / Intermediate SE Senior-level / Expert EX Executive-level / Director

employment_type The type of employement for the role: PT Part-time FT Full-time CT Contract FL Freelance

job_title… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/data-science-job-salaries.

Envestnet | Yodlee's Payroll Data Panel captures de-identified payroll information to deliver valuable employment insights, such as a company's wage costs, seasonal performance, headcount, hiring, layoffs, and more.

De-identified payroll data analytics for major employers gives decision makers insight into employment trends across many industries. The payroll product includes 1000+ employers and data can be used for company specific or macro purposes. - 4800+ employers tagged - Frequency of payroll identified (i.e. weekly, bi-weekly)
- Data at user and account level to allow for cohort analysis (e.g. Macys likely to lose 10% of revenue due to unemployment within their cohort)

New Features - Mapping to Category codes and Employer Dependency Scoring Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Explore the progression of average salaries for graduates in Statistical Data Analysis from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Statistical Data Analysis relative to other fields. This data is essential for students assessing the return on investment of their education in Statistical Data Analysis, providing a clear picture of financial prospects post-graduation.

Analysis of ‘Data Professionals Salary - 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/iamsouravbanerjee/analytics-industry-salaries-2022-india on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns towards effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.

Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, Big Data Analytics, retail analytics, supply chain analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modeling, predictive science, graph analytics, credit risk analysis, and fraud analytics. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics.

Content

This Dataset consists of salaries for Data Scientists, Machine Learning Engineers, Data Analysts, Data Engineers in various cities across India (2022).

Acknowledgements

For more, please visit: https://www.glassdoor.co.in/

--- Original source retains full ownership of the source dataset ---

Analysis of ‘NHL Player Statistics With Salary Information’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/samee11/nhl-player-statistics-with-salary-information on 14 February 2022.

--- No further description of dataset provided by original source ---

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Sample - Employee's Monthly Salary’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/jb1433/sample-employees-monthly-salary on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

This is a sample dataset to explore key insights, EDA, and to perform statistical simulations.

Content

This Dataset contains Gross and Net salary of each Employee with Tax deduction

Inspiration

1. Do male employees earn significantly more than female employees?
2. Are there any departments paying significantly low salaries in the organization?
3. What is the relation between gender and leadership roles in the organization?
4. What is the relation between age and leadership roles in the organization?
5. Are Data Scientists getting paid significantly more than others in this company?
6. Does the salary depend on Age?

--- Original source retains full ownership of the source dataset ---

The average annual salary of a Data Architect in India was estimated to be over *********** Indian rupees per annum, the highest among other jobs in the Data Science sector in India. It was followed by data Scientist and Database Developer roles.

This data was collected by the team https://dou.ua/ . This resource is very popular in Ukraine. It provides salary statistics, shows current vacancies and publishes useful articles related to the life of an IT specialist. This dataset was taken from the public repository https://github.com/devua/csv/tree/master/salaries . This dataset will include the following data for each of the developer: salary, position (f.e. Junior, Middle), experience, city, tech (f.e C#/.NET, JavaScript, Python). I think this dataset will be useful to our community. Thank you.

Analysis of ‘Average Salary by Job Classification’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/c279deaa-d913-48fe-8693-5899e9291025 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

This Dataset indicates average salary by position title and grade for full-time regular employees. Data excludes elected, appointed, non-merit and temporary employees. Underfilled positions are also excluded from the dataset. Update Frequency : Annually

--- Original source retains full ownership of the source dataset ---

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for data analyst in the U.S.

Analysis of ‘Salaries of State Agencies - Multi-Year Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9cc1c178-e35e-4f05-b6ab-934c68a8aa6e on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This is a multi-year state agency salary report. To learn more about state salaries visit the Oregon Transparency Program website. https://www.oregon.gov/transparency/Pages/index.aspx. To learn more about state jobs and salaries visit https://www.oregon.gov/das/hr/pages/index.aspx.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Pay Band Average Salary’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/bb89cdfe-37ae-499c-9f30-74a3d76c5f0d on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Salary information for State of Oklahoma employees by pay band, including average, maximum and minimum, and the size of the range by pay band.

--- Original source retains full ownership of the source dataset ---

Explore the progression of average salaries for graduates in Engineering Focus In Statistical Analysis from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Engineering Focus In Statistical Analysis relative to other fields. This data is essential for students assessing the return on investment of their education in Engineering Focus In Statistical Analysis, providing a clear picture of financial prospects post-graduation.

Analysis of ‘Salaries of Lottery Employees - Multi-Year Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e8a07ccc-84dd-4404-a97e-0fd24ae2cfbe on 27 January 2022.

--- Dataset description provided by original source is as follows ---

This is a multi-year salary report for the Oregon Lottery. Visit the Oregon Transparency Program website for more information. https://www.oregon.gov/transparency/Pages/index.aspx. Or, visit the Oregon Lottery at https://www.oregonlottery.org/about/.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Baltimore City Employee Salaries’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e35392a8-b2b3-4748-b696-1637b8e774a0 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset includes Baltimore City employee salaries and gross pay from fiscal year 2011 through last fiscal year and includes employees who were employed on June 30 of the last fiscal year. For fiscal years 2020 and prior, data are extracted from the ADP payroll system. For fiscal year 2021, the data are combined from the ADP system and the Workday enterprise resource planning system which now includes payroll.

Change Log
2021-10-29:
- Added FY2021 data
- Metadata added
- Columns renamed to a standard format
- Youth workers not employed by City removed
- Agency names reformatted with Workday conventions

Data Dictionary

--- Original source retains full ownership of the source dataset ---

1) Data Introduction • The Data Science Salaries 2023 Dataset is a global annual salary analysis dataset that summarizes a variety of information in a tabular format, including salary, career, employment type, job, remote work rate, and company location and size for data science jobs as of 2023.

2) Data Utilization (1) Data Science Salaries 2023 Dataset has characteristics that: • Each row contains 11 key characteristics, including year, career level, employment type, job name, annual salary (local currency and USD), employee country of residence, remote work rate, company location, and company size. • Data is organized to reflect different countries, jobs, careers, and work patterns to analyze pay and work environments in data science in three dimensions. (2) Data Science Salaries 2023 Dataset can be used to: • Data Science Salary Analysis and Comparison: Analyzing salary levels and distributions by job, career, country, and company size can be used to understand industry trends and market value. • Establishing Recruitment and Career Strategies: It can be applied to recruitment strategies, career development, global talent attraction, etc. by analyzing the correlation between various working conditions and salaries such as remote work rates, employment types, and company location.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for senior data analyst in the U.S.

Graph and download economic data for Employed full time: Wage and salary workers: Compensation, benefits, and job analysis specialists occupations: 16 years and over (LEU0257856200A) from 2011 to 2024 about occupation, jobs, full-time, compensation, benefits, salaries, workers, 16 years +, wages, employment, and USA.