Análisis estadístico Jobs

I manage a financial literacy initiative that now reaches more than 500,000 elementary, middle-school, and secondary students. As we scale, I need rigorous monitoring and evaluation that tells us exactly how our lessons improve students’ financial skill development in each age group. The assignment begins with a clear theory of change, then moves into instrument design—primarily large-scale surveys complemented by targeted student and teacher focus groups. From there we will agree on sampling strategy, fieldwork calendar, analysis approach, and the final deliverables I can share with funders and the Ministry of Education. Deliverables • Age-appropriate survey questionnaires and focus-group guides • Data-collection protocol detailing sample sizes and timelines ...

For thousands of years,humans have looked up at the night sky and wondered whether we are the only intelligent beings in the universe. With over a billion galaxies,each containing a billion stars,the idea that earth could be the only home of life seems both extraordinary and insane to imagine. Modern astronomy has made remarkable progress in searching for life beyond our on galaxy which is the Milky way galaxy,but the quest still remains as hypothesis: are we really alone in the universe?

For thousands of years,humans have looked up at the night sky and wondered whether we are the only intelligent beings in the universe. With over a billion galaxies,each containing a billion stars,the idea that earth could be the only home of life seems both extraordinary and insane to imagine. Modern astronomy has made remarkable progress in searching for life beyond our on galaxy which is the Milky way galaxy,but the quest still remains as hypothesis: are we really alone in the universe?

For thousands of years,humans have looked up at the night sky and wondered whether we are the only intelligent beings in the universe. With over a billion galaxies,each containing a billion stars,the idea that earth could be the only home of life seems both extraordinary and insane to imagine. Modern astronomy has made remarkable progress in searching for life beyond our on galaxy which is the Milky way galaxy,but the quest still remains as hypothesis: are we really alone in the universe?

I require a medical librarian with current, full-text access to Scopus, Embase, Cochrane Library, SportDISCUS and Ovid. The assignment is straightforward: perform comprehensive, reproducible searches that capture every relevant clinical trial on my topic (details provided after award). Because the work must stand up to publication standards, I will need: • A clearly documented search strategy for each database (keywords, subject headings, limits applied). • Exported results in RIS or CSV format, de-duplicated where possible. • A brief narrative summarising the yield from each source and any notable gaps. Please confirm your active subscriptions to all listed platforms and your experience retrieving clinical trials. A short sample of a past search report is welcome ...

I need an expert to estimate the maximum number of lots possible under R40/R60 residential zoning for subdivision. Requirements: - Optimize for maximum lots in a given land area - Use of zoning regulations: minimum lot size, setback requirements, and maximum building height Ideal Skills: - Experience with residential zoning regulations - Strong analytical and optimization skills - Ability to provide clear, detailed estimates

The project involves securing authentic market-research survey submissions from verified car and bike owners so I can analyse fresh insights into the automobile sector. Each respondent must currently own either a car, a motorbike, or both; general consumers outside that profile will not be accepted. I will provide the survey link and a brief screening script. Your job is to: • Source eligible participants, • Confirm they meet the ownership criteria before they start, and • Return a spreadsheet that lists basic, non-identifying proof of qualification (first name or initials, vehicle type, completion timestamp). All responses have to be genuine—no bots, duplicates, or incentive-farm panels. I will run spot checks and any invalid entries will need to be replaced. ...

I have a historical sales data set that needs a thorough, professional analysis. Your job is to import, clean, and explore this sales data, extract the key metrics that matter, and present findings I can act on immediately. Here’s what I have in mind: • Clean and structure the raw sales records so outliers, missing values, and inconsistencies are handled correctly. • Run exploratory and statistical analysis to surface patterns in revenue, volume, seasonality, and product performance. • Build clear visualisations—charts, tables, dashboards—so I can grasp results at a glance. • Summarise insights in a concise narrative report, highlighting opportunities and any red-flag issues you detect. I am open to whichever tool chain you work fastest with&md...

A clear, actionable day-trading playbook for the stock market is what I need. My focus is strictly on short-term, intraday moves rather than long-term holding or dividend plays, so every element of the material should reflect that. What I’m after: a complete strategy that covers market selection, proven entry and exit setups, risk-management rules, and position-sizing guidelines that can be followed in real time with commonly available platforms such as Thinkorswim or TradingView. Please incorporate practical examples using live or historical charts and show how to adapt the rules to different market conditions (trending, ranging, high-volatility sessions, and low-volume days). If you rely on technical indicators, spell out the exact settings. If the approach is more price-acti...

I’m looking for a comprehensive market analysis that zeroes in on the national landscape for my business. Your research should allow me to: • Pinpoint and size our ideal customer segments • Uncover current and emerging market trends • Map and benchmark key competitors across the country The finished work needs to be data-driven and clearly referenced so I can rely on it for strategic planning and investor conversations. Feel free to pull from Statista, IBISWorld, government datasets, industry reports, or original surveys—just cite everything. Deliverables • Executive summary (1–2 pages) • Full report detailing methodology, data, findings, and actionable recommendations • Slide deck highlighting the key insights for quick stakeh...

I need a concise, data-driven market study built around the North American Industry Classification System. The focus is on locating, cleaning, and preparing publicly available datasets (e.g., U.S. Census, BLS, SBA) that match the target NAICS codes, then running the statistical analyses that turn those raw figures into clear-cut insights on market size, growth rates, and competitive concentration. You will source only public databases—no internal company records or paid panels—so solid familiarity with government portals and open-data APIs is essential. Once the data are collected, I expect you to handle the full cleaning workflow (deduping, missing-value handling, correct NAICS code alignment) before moving on to the analytical phase. Basic descriptive stats are fine for an...

I need a clear, data-driven roadmap that shows exactly what it will cost to build a cocoa farm from one hectare all the way to 100 hectares. Please model every stage of development in daily increments so I can see how cash leaves the account each day until the farm is fully established. Cover the three big spending blocks—land acquisition, labour costs and all equipment & supplies—and be explicit about the timing of each outlay. Where purchase-versus-lease or manual-versus-mechanised options exist, highlight the cost impact so I can compare scenarios instantly. The numbers have to sit on solid evidence, so weave in up-to-date yield predictions for modern cocoa varieties, current and emerging market trends, and the broader economic impact of the project (ROI, payback perio...

This project centers on turning our raw operational and sales data into clear, actionable insight that drives day-to-day and strategic decision making. During a two-week training period you will be onboarded to our current databases, data-collection procedures, and reporting cadence; that phase is compensated at $25 per hour. Once fully ramped, regular work is billed at $60 per hour, with monthly earnings expected in the $25k–$45k range. Scope of work • Connect to existing SQL tables, cloud storage, and Excel feeds, then clean and consolidate the data. • Build repeatable Python or R scripts (your choice) that automate descriptive and diagnostic metrics. • Design intuitive dashboards in Power BI or Tableau so non-technical managers can track KPIs in real time. ...

I’m organising an on-site workshop for a group that already works confidently in Excel and wants to take their skills to the next level. The participants handle complex spreadsheets daily, so the content must dive straight into expert territory—no time spent on the basics. Core topics we need covered • Macros & VBA: writing, editing, and debugging code that automates repetitive tasks. • PivotTables & PivotCharts: building multi-layered summaries and interactive dashboards. • Data Analysis & Visualisation: advanced formulas, scenario analysis, and clear graphical storytelling that supports decision-making. What I’m after – A trainer who can run engaging, hands-on sessions at our premises (exact location and dates to be agreed). ...

I need a steady stream of original mathematics questions targeted at students in Classes 6 through 10. The final set should feel as if it came straight from a well-curated textbook or a board examination paper: clear wording, correct notation, and absolutely no plagiarism. Scope – Question styles: I’m concentrating on Multiple Choice and richer Problem-Solving items that push students to show working and reasoning. – Coverage: every topic that normally appears across national and state boards—Algebra, Geometry, Statistics, Mensuration, Number Systems, you name it. Organise the material by class and by chapter so that teachers can drop it straight into their lesson plan. – Difficulty mix: roughly 30 % foundational, 50 % standard, and 20 % challenge level...

I need a PowerPoint that walks through a complete yield-improvement study in the diffusion stage of semiconductor manufacturing. The story has to be driven by a combination of Design of Experiments and ANOVA, so that every slide shows why a factor was chosen, how the experiment was laid out, how the model was validated, and finally how much yield was recovered. Please assume I want to see: • a concise process overview that frames the diffusion bottleneck, • the raw or simulated data you analysed, • clear DOE tables (factor levels, runs, replicas), • ANOVA tables with p-values highlighted, • diagnostic plots, interaction plots and optimisation results, • the calculated gain in yield and the practical recommendation for the fab. If you already hav...

I’m in the home stretch of my economics thesis on how commodity prices and global financial conditions shape the Australian dollar, using Mexico as a benchmark. The first two chapters are drafted and already carry my supervisor’s detailed comments; they now need a polish—tighten the arguments, smooth out the language, and align every citation and section heading with our style guide. Where I need the most help is the final chapter. I have a partial dataset covering commodity indices, interest-rate spreads, and exchange-rate series, but gaps remain for the most recent quarterly figures and some Mexican financial variables. Once the dataset is complete, I want robust econometric testing (VAR, VECM, or a method you propose) that cleanly isolates the separate and joint impac...

I have a collection of unstructured data that needs to be mined and modelled in R so I can reliably forecast future trends hidden inside it. Your task is to walk the data through the full mining pipeline—from cleaning and feature extraction to model selection, validation, and interpretation—while grounding every step in fundamental data-mining principles. The work centres on: • Ingesting and preprocessing raw, unstructured text or mixed-format inputs. • Applying appropriate R packages (tidyverse, text mining suites, caret, or any other you feel is best) to transform the data into an analysable structure. • Building and evaluating predictive models that reveal upcoming patterns or shifts I can act on. • Supplying reproducible R scripts/notebooks, c...

This project centres on strengthening public health awareness through rigorous, up-to-date health education research. The immediate goal is to compile and analyse current evidence—peer-reviewed articles, official guidelines, and reputable grey literature—and translate those findings into clear, actionable insights that can inform future outreach campaigns. Scope of work You will: • Conduct a systematic literature search (PubMed, Scopus, WHO databases, and comparable sources) focused on recent public health awareness initiatives. • Extract and organise key data points in a clean, well-structured spreadsheet, ensuring accuracy and consistency. • Synthesize results into a concise narrative summary that highlights effective strategies, gaps in existing programme...

We are seeking a Market Research Executive from an African or Asian country to research the bed and bath textile market. Your role includes analyzing market trends, consumer behavior, and competitor activity to provide insights that inform business strategies. The ideal candidate will have experience in market research and analysis, with a strong understanding of the textile industry.

I need a steady stream of original mathematics questions targeted at students in Classes 6 through 10. The final set should feel as if it came straight from a well-curated textbook or a board examination paper: clear wording, correct notation, and absolutely no plagiarism. Scope – Question styles: I’m concentrating on Multiple Choice and richer Problem-Solving items that push students to show working and reasoning. – Coverage: every topic that normally appears across national and state boards—Algebra, Geometry, Statistics, Mensuration, Number Systems, you name it. Organise the material by class and by chapter so that teachers can drop it straight into their lesson plan. – Difficulty mix: roughly 30 % foundational, 50 % standard, and 20 % challenge level...

I have completed a paper titled “Audit Committee Overlap and ESG Performance: Does Serving on Multiple Committees Strengthen or Weaken ESG Oversight in S&P 500 Firms?” I got stuck with the analysis as i could not find data regarding one of the dependent variables. i want a well expericned researcher, with record of publications, to help me complete the analysis and argument for the paper to get it published in: • Indexed in Web of Science (Core Collection) • Classified Q2, Q3, or Q4 in the latest Journal Citation Reports • No article-processing charges or submission fees

I have completed a paper titled “Audit Committee Overlap and ESG Performance: Does Serving on Multiple Committees Strengthen or Weaken ESG Oversight in S&P 500 Firms?” I got stuck with the analysis as i could not find data regarding one of the dependent variables. i want a well expericned researcher, with record of publications, to help me complete the analysis and argument for the paper to get it published in: • Indexed in Web of Science (Core Collection) • Classified Q2, Q3, or Q4 in the latest Journal Citation Reports • No article-processing charges or submission fees

A 37 day, on-site module in Vijayawada begins 15 July 2026 and covers core Business Analytics concepts right through to intermediate-level AI insights. The audience is a batch of students who already use data in their daily roles, so the sessions must balance theory with immediately applicable, tool-driven practice—think exploratory data analysis, statistical modelling, predictive analytics and an introduction to generative AI techniques using mainstream platforms such as Excel, SQL and Power BI. I need offline trainer: • A complete training roadmap broken into daily objectives, and assessment checkpoints • Slide decks, datasets and code notebooks that I can keep for future cohorts • Brief post-training reports on participant progress and next-step recommendations...

I’m looking to have a set of CSV/Excel files transformed into a clear, insight-rich descriptive analysis. Before we get to the numbers, the data needs a quick cleanup: • Removing duplicates • Handling missing values • Correcting data types Once the tables are tidy, I’d like summary statistics, meaningful visualisations, and plain-language commentary that highlights the key takeaways hidden in the rows. A concise slide deck or notebook showcasing your methodology would be perfect, along with the cleaned dataset itself so I can reuse it later. Python (Pandas, Matplotlib, Seaborn), R, or even Power BI/Excel power tools are all fine—as long as the code or steps are transparent and reproducible. Deliverables • Cleaned CSV/XLSX files • Scr...

I want a concise, data-driven study that explains today’s global Information Technology market trends and where they are heading next. The report should capture emerging technologies, spending patterns, regional growth pockets, and the macro forces reshaping demand. Please anchor every insight in up-to-date, verifiable data from respected sources such as Gartner, IDC, Statista, financial filings, or peer-reviewed journals, and include clear citations so I can trace each figure back to its origin. Deliverables • Executive summary (1–2 pages) highlighting the most actionable findings • Full report in PDF with supporting charts, tables, and commentary • Raw datasets in Excel or Google Sheets for my own modelling • A short slide deck (10–12 slid...

The assignment centres on filling multiple mid-level vacancies across diverse, non-IT industries throughout the United States. I will provide job descriptions and compensation ranges; your task is to run the full recruitment cycle—sourcing, screening, coordinating interviews, and guiding offers to acceptance—while maintaining constant, transparent communication with me. A solid grasp of US labour regulations, familiarity with time-to-hire metrics, and proficiency with tools such as LinkedIn Recruiter, Indeed, and a modern ATS will be essential. I expect a qualified shortlist within the first week, followed by weekly pipeline updates and insights on market availability or compensation shifts you notice along the way. Deliverables • An initial batch of five to eight pre-sc...

I am preparing a series of research papers on renewable-energy integration within India’s power markets and intend to submit them to ABDC or Scopus indexed journals. I will supply the core technical insights and an Excel dataset that captures market variables, generation mixes, policy changes and relevant time-series indicators. Your role is to transform these inputs into publishable manuscripts. The scope covers three main tasks: 1. Literature review & gap analysis • Compile and synthesise current Indian and global work on renewable integration, electricity-market design and associated policy. • Identify clear research gaps that our data and modelling can address, citing high-impact sources. 2. Predictive modelling & results • Clean and...

Class paper I will need delivered by midnight tonight

I’m running a client-commissioned research project and need a partner who can take the data journey end-to-end. The first task is to spin up an online survey that supports multiple question types—single choice, matrix, Likert, open text, the works—so respondents can move through the instrument smoothly on any modern browser. Skip logic or mobile optimisation would be welcome bonuses, but the must-have is a clean, web-based survey that I can deploy quickly and edit myself after hand-over. Once responses begin to flow in, I’ll rely on you to structure an analysis workflow that covers descriptive statistics, comparative analysis across key sub-groups, and basic trend analysis for any longitudinal items. I typically work in Excel and SPSS, yet I’m open to R or Py...

I need a baccarat simulation designed specifically for statistical analysis. The primary aim is to gather and analyze data on the game. Key Requirements: - Focus on statistical metrics: - Win/loss ratios - Betting patterns - Probability distributions - Provide raw data output for further analysis Ideal Skills: - Experience in game simulation development - Strong background in statistics and data analysis - Proficiency in data output formats and structures

I want to turn a workbook that currently relies on manual typing into a push-button process. The flow is simple in theory—data comes from people keying numbers or text straight into Excel—yet it’s time-consuming and error-prone. Here’s what I need: when a user opens the file, they should be guided through an organised form or other intuitive interface that writes their input to the correct sheets, performs validation, and stamps a time-and-user log automatically. As soon as the new records land, Excel should run the built-in statistical routines I specify (mean, standard deviation, t-tests, simple regressions and similar core stats) and update all summary tables, charts and printable reports without further clicks. I’m comfortable if you lean on VBA, mac...

# Paid Project: Life-Science Experts Needed to Record Real Data Analysis Workflows (R, SAS, SPSS, GraphPad Prism, ImageJ) We're looking for experienced life-science researchers, biostatisticians, bioinformaticians, clinical researchers, epidemiologists, and data analysts to participate in a paid AI training project. The project involves recording your screen while completing a real data analysis workflow that you would naturally perform in your field. You'll briefly narrate your thought process as you work. These recordings will be used to train AI models to better understand scientific software and research workflows. ## What You'll Do Using your preferred software (R/RStudio, SAS, SPSS, GraphPad Prism, or ImageJ/Fiji), record yourself completing an end-to-end analysis....

I have a collection of relational-database exports and sizeable spreadsheets that need to be explored, cleaned, and turned into clear, actionable insights. Your task is to: • Prepare the data (handle missing values, remove duplicates, standardise formats). • Perform exploratory and descriptive analysis that highlights key trends, outliers, and correlations. • Present findings in a concise report supported by well-labelled visualisations; an interactive dashboard in Power BI, Tableau, or similar is welcome but optional. • Supply the underlying, fully commented Python (pandas / NumPy / matplotlib or seaborn) or R script so I can reproduce the results. I will share the structured data and a short context document once we start. Insightfulness, clean code, and a vis...

I am looking for an experienced freelancer with expertise in *clinical trial biostatistics* and *R programming* to complete a small statistical analysis task using a clinical trial dataset. The task may involve data preparation, statistical analysis, and generating tables, listings, figures, or graphs in R. The exact requirements and dataset will be shared with the selected freelancer due to confidentiality. *Required Skills:* •⁠ ⁠R Programming •⁠ ⁠Clinical Trial Data Analysis •⁠ ⁠Biostatistics •⁠ ⁠Statistical Analysis •⁠ ⁠Data Visualization (ggplot2 or similar) •⁠ ⁠Descriptive Statistics •⁠ ⁠Regression Analysis •⁠ ⁠Survival Analysis (Kaplan–Meier and Cox models) •⁠ ⁠Data Manipulation (dplyr/tidyr) •⁠ ⁠Clinical Research ...

DISCLAIMER: AI GENERATED PROPOSALS WILL NOT BE CONSIDERED I am seeking an experienced freelancer to enhance my hotel review analysis software by expanding its data visualization and analytical capabilities. The software currently scrapes reviews from platforms like and Google Maps and performs basic sentiment analysis. I aim to improve the visualization and analysis of this data to provide deeper insights into customer sentiments and trends. Objectives: Expand the data visualization capabilities of the dashboard. Implement advanced data analysis techniques to extract meaningful insights from the review data. Enable export functionality to generate editable PDF reports of the analysis and visualizations. Core Responsibilities: Data Visualization Enhancements: Expand the existing dashb...