Statistikë Jobs

I will share a clean survey dataset and need a concise descriptive analysis that simply summarizes what the numbers say. Your job is to: • Run standard descriptive statistics (frequencies, means, medians, ranges). • Create easy-to-read tables and clear charts that highlight the key take-aways. • Deliver a brief written summary—plain language, no jargon—that explains the main findings so any stakeholder can grasp them quickly. Any common tool is fine; Excel, Python (pandas, matplotlib, seaborn) or R (tidyverse) all work as long as the outputs are reproducible. I’m looking for accuracy, neat formatting, and a turnaround that respects our agreed deadline.

I’m working through SAS Viya for academic purposes and need a clear, step-by-step demonstration of how to generate reports inside the platform. The focus is on data visualization, not on delivering a production-ready executive or technical document, so think of it as a teaching aid that shows — and explains — best practices. I Will need someone to share 2 hours to teach me about basic, cleansing, visualisation and creating flow What I need from you: • A sample dataset (or instructions to load an open dataset) suited to illustrating charts, graphs, and interactive visuals. • A concise walkthrough that covers the full workflow in SAS Viya: bringing data into Visual Analytics, building visual objects, arranging them on a report canvas, and publishing or export...

I have several Excel spreadsheets that hold our company’s raw financial records, and I need a clear, actionable picture of how we are performing. The core focus is on revenue- and profit-related metrics (sales volumes, margins, growth rates, month-over-month comparisons, year-to-date figures, etc.). I will supply the workbooks exactly as they stand; your job is to turn those rows and columns into insight. The process I have in mind starts with cleaning and structuring the sheets so formulas, pivot tables, or a preferred analytics script (Python / Pandas, R, Power Query—whatever you are comfortable with) can run without errors. Once the data is solid, I’d like to see: • A concise summary of key revenue and profit indicators, spotlighting any spikes, dips, or anomali...

I need a microbiologist who is formally trained in clinical microbiology and comfortable stepping beyond the bench when required. Your core responsibility will be to run targeted lab tests on our microbial strains, generate concise data sets, and translate those findings into clear, persuasive copy that positions our new biofertilizer product accurately and compellingly. In practice you will: • Carry out standard and advanced clinical-grade assays to verify strain purity, safety, and viability. • Interpret raw results, perform statistical data analysis, and prepare a brief technical report that can pass regulatory scrutiny. • distill the key benefits into marketing language—think web page blurbs, brochure text, and short social-media snippets—so non-scienti...

I'm looking for a skilled data analyst to identify trends from our database. The data includes sales, customer, and market research data. Key Requirements: - Analyze data from a database - Identify and interpret key trends - Generate insights to guide business decisions Ideal Skills: - Proficiency in SQL and data visualization tools - Experience with trend analysis - Strong analytical and reporting skills Please provide examples of similar work done.

I'm seeking an experienced math tutor for my 4th grader. The focus will be on: - Addition and subtraction - Multiplication and division - Fractions and decimals Requirements: - Tutor needed twice a week - In-person sessions preferred Ideal Skills and Experience: - Strong background in elementary math - Previous tutoring experience, especially with grade 4 - Patience and ability to engage young learners Please share your qualifications and approach.

I'm seeking an Excel expert to help me analyze customer feedback data using descriptive analysis techniques. The goal is to derive insights on customer satisfaction levels. Key tasks include: - Analyzing pre-defined customer feedback data sets. - Using Excel to perform descriptive analysis. - Visualizing data using various techniques. - Interpreting data to derive insights on customer satisfaction. Ideal candidates should possess: - Proficiency in Excel. - Experience in data analysis. - Familiarity with data visualization techniques. - Ability to interpret and derive insights from data.

The paper is already outlined and the dataset—purely observational—has been cleaned and is ready to load into R. What remains is the core empirical work: applying a Difference-in-Differences strategy, interpreting the findings, and writing up the Results and Discussion sections so they flow naturally with the rest of the manuscript. Scope of work You will run the DiD models in R (base, tidyverse, or workflows are all fine) and include any necessary robustness checks or placebo tests. Once the estimates are solid, weave the numbers, tables, and plots into a coherent narrative that completes both the Results and the Discussion, linking back to the hypotheses already laid out in the introduction. Deliverables • Reproducible R script or R Markdown file with all code and...

I need help with a data analysis homework task using R. Requirements: - Experience with R - Knowledge of statistical analysis and data interpretation - Ability to explain concepts clearly Please provide examples of previous work.

I have a working Python script that already tackles a portion of my scientific-data analysis, but it needs a full refresh so it can: • clean and preprocess raw experimental files (handling missing values, unit conversions, outlier checks) • run the required statistical analyses (descriptive stats, hypothesis testing, regression where relevant) • generate clear, publication-quality visualisations of the results The current code is organised in a single file. I want it refactored into well-named functions or classes, documented with concise docstrings, and wrapped in a short Jupyter notebook that demonstrates the new workflow from import to final figure. Please keep any existing logic that is still valid but feel free to streamline it with modern libraries—panda...

I need a comprehensive benchmarking study that maps out which patient-experience roles a multi-hospital group should maintain, exactly what KPIs each role owns, and how those metrics stack up against recognised best-in-class hospitals worldwide. The finished work should give me: • A clear description of each role (title, core purpose, daily responsibilities) as practised in leading hospitals. • A justified KPI set for every role, showing precise definitions, formulas and recommended targets. • Side-by-side comparison of our current structure and metrics versus benchmark organisations, highlighting performance gaps. • Practical recommendations on governance—who measures, who reports, and how results cascade through the organisation. Please base the an...

I’m putting together a complete video course in Hindi and English that guides absolute beginners through the full journey of data analysis—from first principles all the way to hands-on work with popular tools such as Excel and Tableau. I need you to record the lessons yourself, speaking clearly, sharing your screen, and demonstrating every step so viewers can follow along in real time. The flow should start with fundamental concepts—types of data, descriptive statistics, basic visualisations—and gradually move into more advanced techniques like pivot tables, forecasting, and dashboard creation. Practical, example-driven teaching is essential; the audience has no prior experience, so every technique must be shown in context with a downloadable dataset. Deliverables...

I have an intermediate-level assignment that must be completed in Excel with the @Risk add-in, and I want to finish it myself while being coached in real time. My main sticking points are building the simulations correctly and interpreting the risk analysis output that follows, so I’ll need you to explain each step, verify my formulas, and help me understand the Monte Carlo results rather than simply doing the work for me. Speed is important—I’m ready to start as soon as you are and would like to wrap this up quickly. Because this is a walkthrough, live collaboration (screen-share or similar) is essential. I’m comfortable scheduling multiple short sessions if that’s easier, but I’d like clear milestones so I always know what comes next and can practise ...

I'm looking for an expert to analyze risks using @RISK an excel addon. Key Requirements: - Proficiency in @RISK - Experience with risk analysis using @Risk - Ability to interpret and analyze complex data sets would like to jump on a call with and take me through the whole process rather than just doing it from their end.

Assalamu alaikum! Are you looking to better understand financial markets without the hype or false promises? I'm here to provide clear, detailed, and educational analysis based on years of studying and mastering technical, fundamental, and psychological aspects of trading. The market is psychological warfare – a constant battle of emotions where fear, greed, FOMO, and manipulation by large players drive price action more than pure logic. Most losses come not from bad charts, but from failing to win the inner war against your own mind and the crowd's psychology. I help you navigate this battlefield with discipline and insight. What I offer: Technical Analysis: Chart markups, key patterns (head & shoulders, flags, triangles, double tops/bottoms), support/resistance leve...

Project requirements 1) Submission package Report files Part 1 report: maximum 2 pages Part 2 report: maximum 6 pages Page limits include figures and tables Page limits exclude title page, table of contents, and references The report must include explanations suitable for readers not familiar with programming Report must be submitted as PDF (or other allowed document format as specified by your portal) Code files (reproducible) Python code must be provided as Jupyter notebook(s) (.ipynb) R code must be provided as RMarkdown (.Rmd) if required by the brief Code must be runnable by someone else to reproduce your results If you reuse outputs or cleaned data from earlier questions, you must reference them clearly Submission location All relevant files must be submitted to the des...

I have a collection of datasets that need to be explored from every angle. First, I want a clear descriptive snapshot that tells me what is happening in the data right now. From there, I need predictive models that forecast future trends, and finally prescriptive recommendations that translate those forecasts into concrete, data-driven actions. You are free to move between Excel pivot tables, Python (preferably pandas, scikit-learn, and matplotlib or seaborn), and R (tidyverse, ggplot2, caret) as each step requires. The end goal is a versatile analysis that can power business decisions, support an academic write-up, and improve day-to-day operational efficiency. Please include: • Cleaned and well-documented datasets • Reproducible Excel workbooks, Python scripts or notebo...

Basically there are two task in this project. 1: I have a research paper written with the help of AI, and it needs to be re-written in human style patter so that it bypass the AI detection. 2: In the research paper, there is a section of analysis of a dataset using R. That analysis also needs to be done and three hypothesis needs to be tested with results written without AI language detection. I have a numerical dataset ready for a full hypothesis-testing workflow in R. The job covers three specific tests—t-tests, Chi-square tests and ANOVA—applied where each is statistically appropriate. I will supply the cleaned data and any relevant codebook; you return a well-commented R script (base R or tidyverse is fine) that reproduces every step, plus a concise write-up that reads lik...

I need an AI agent in Copilot to analyze Excel spreadsheets. The spreadsheet shows monitoring visit compliance. The agent should be able to determine if a visit has been compliant within the allowable visit window. Ideal Skills: - Experience with AI and machine learning - Proficiency in Excel, especially in data analysis - Strong programming skills (Python, R, etc.) - Familiarity with data visualization tools

I need a Power BI dashboard for leadership review. The primary focus is to visualize the organization chart. Requirements: - Connect to Excel spreadsheets - Create a comprehensive organization chart Ideal Skills: - Proficiency in Power BI - Experience with Excel data integration - Strong data visualization skills

I have a collection of customer reviews that must be transformed into clear, data-driven insight. The raw files might arrive as CSV, Excel, or even straight from a database—the format is flexible—so the first task is to clean and standardise whatever I supply. That means handling empty rows, removing noise (HTML tags, punctuation, stop-words, etc.) and normalising the text. Once the data is tidy I need robust sentiment classification. Please build the pipeline in Python, making sensible use of NLTK and/or TextBlob for tokenisation, lemmatisation and polarity scoring. The reviews span more than one language, but the immediate focus is on the English subset; your code should therefore detect language and process only English for this milestone while staying extensible for future...

I have a collection of customer reviews that must be transformed into clear, data-driven insight. The raw files might arrive as CSV, Excel, or even straight from a database—the format is flexible—so the first task is to clean and standardise whatever I supply. That means handling empty rows, removing noise (HTML tags, punctuation, stop-words, etc.) and normalising the text. Once the data is tidy I need robust sentiment classification. Please build the pipeline in Python, making sensible use of NLTK and/or TextBlob for tokenisation, lemmatisation and polarity scoring. The reviews span more than one language, but the immediate focus is on the English subset; your code should therefore detect language and process only English for this milestone while staying extensible for future...

I need help bringing together a batch of mixed data—both text and numbers—into one clean, well-structured file. The numerical portion already lives in several Excel spreadsheets, while the text accompanies each record in separate digital files that I will supply. Your task is to copy-paste or re-key these details into the template I provide, double-checking that every field lines up correctly and that numeric values remain exactly as stored in the original sheets. Accuracy is more important to me than speed, but I still need the work turned around promptly. Please be comfortable navigating Excel, using basic formulas to validate totals where needed, and spotting inconsistencies such as misplaced decimals or stray characters in the text. Deliverables • A single, consoli...

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

I am coordinating a large-scale healthcare randomised controlled trial and, now that we are midway through data collection, I need an experienced biostatistics partner who can carry the project through to publication and simultaneously prepare a systematic review on the same topic. For the RCT you will take over live clinical-trial data streams, refine the data collection and management workflow, perform all required statistical analyses, then translate the findings into a clear manuscript-ready report and slide deck. Because the trial is already registered and governed by strict SOPs and GDPR, familiarity with GCP, REDCap (or similar), and reproducible R scripts/SAS code is essential. Alongside the trial work I also need a full systematic review following PRISMA guidelines. You will han...

I have a set of time-stamped observations and I need a robust machine-learning solution that can forecast future values with solid accuracy. The end goal is an automated prediction/forecasting model that I can retrain as new data arrives and easily integrate into a larger Python pipeline. Here’s what I need from you: • Exploratory analysis of the raw time-series data, spotting seasonality, trends, and anomalies. • Thoughtful feature engineering (lags, rolling stats, calendar effects, exogenous variables if useful). • Model selection and training – I’m open to traditional approaches such as ARIMA/Prophet as well as more advanced architectures like Gradient Boosting or LSTM; choose what performs best and explain why. • Rigorous evaluation on a ho...

I need to turn raw treasury-trading deal data into clear, decision-ready performance reports. The core of the job is to build a repeatable process that reads my daily deal files, analyses them, and produces a set of Performance Reports covering three key metrics: • Return on Investment • Trading Volume • Profit & Loss Statement . RATES AND MORE The source files arrive in CSV/Excel straight from our treasury platform. I am comfortable sharing a sample dataset so you can map the fields, clean anomalies, and transform the numbers. Ideally the workflow is automated—SQL or Python for the heavy lifting and Excel, Power BI or Tableau for the final dashboards and printable summaries—but I am open to whichever stack you can justify as robust and maintainable....

I am looking for an experienced Python developer to build a trading analysis tool for synthetic indices (such as volatility indices). The tool will help analyze market data, test strategies, and provide a live dashboard for monitoring Requirements Data Collection Connect to a trading platform API (example: Deriv or similar). Collect and store historical price data. Ability to update data automatically. Market Analysis Engine The tool should: Analyze price movements. Detect patterns or indicators. Allow custom strategy rules. Backtesting System Test strategies using historical data. Show results such as: Win rate Profit/loss Drawdown Number of trades Live Analysis Run the strategy on live data. Generate signals or alerts when conditions are met. Dashboard A simple web da...

I’m running several data-science driven market research projects and need a sharp management trainee who can keep the wheels turning while digging deep into consumer behaviour. Your main focus will be consumer research—specifically behavioural patterns—so expect to be involved in everything from shaping survey instruments and sourcing secondary data to translating raw numbers into clear, decision-ready narratives for stakeholders. Day-to-day you’ll help me: • Coordinate timelines, milestones, and cross-functional touch-points so each study stays on track. • Collect and clean behavioural data, whether it comes from surveys, web analytics, or CRM exports. • Perform exploratory analysis in Excel, Python, R or any tool you prefer, then visualise ke...

**Project Title:** Machine Learning Model to Analyze Price Behaviour Around Moving Average (Forex – XAUUSD) **Project Description:** We are building a quantitative research project focused on understanding and modeling **price behaviour around a Moving Average** using machine learning techniques. The objective is to develop a **statistical/ML model that can estimate the probability and confidence of price movement relative to a moving average**. This project is specifically focused on **XAUUSD (Gold) in the Forex market**, using **1-minute historical data**. The key requirement is that the **model must analyze price dynamics strictly around the Moving Average**, without relying on additional technical indicators such as RSI, MACD, Bollinger Bands, etc. We want to understand and ...

I need a comprehensive graduate-level mathematics book TYPED. About 150 pages. It focuses on measure theory and Topology. The book covers: - Advanced topics in Measure Theory and Topology Ideal skills and experience: - posseses software to type mathematical book and knows how to efficiently use it with no learning curve (150 pages) -can type mathematical work 150 pages - Excellent writing and explanation skills - Experience in academic publishing

I’m preparing a 10-minute assessed presentation on a single UN Sustainable Development Goal—either Good Health & Well-Being (SDG 3) or Quality Education (SDG 4)—and I need a polished set of PowerPoint slides that hit every point on my marking rubric. The content has to be academically solid and properly referenced in Harvard style. Please weave in: • the current challenges the world faces in this area, • at least one convincing case study that shows tangible success, • the future targets set by the UN, and • a fresh, “think-outside-the-box” angle that keeps the audience engaged. I’ll supply the rubric as soon as we start so you can align slide structure, depth of analysis and visual flair to each criterion. Charts, i...

I’m halfway through a Power BI report and need an expert hand to finish the data-modeling side. All source data arrives as clean CSV files, each holding coordinate pairs alongside several lookup fields. Here’s what’s left to do: • Write DAX (or Power Query M if you prefer) that calculates the Euclidean distance between two coordinate columns in each row. • Build proper one-to-many relationships so my fact table links cleanly to the lookups. • Implement value-based filtering so end-users can slice results by numerical thresholds rather than dates or categories. I will share the PBIX, the raw CSVs, and a short explainer video that walks through the current model. Feel free to add supporting tables, custom measures, or quick visuals that prove each form...

I have a five-question risk-management assignment that must be solved entirely in Python and documented in a Word file. Each question asks me to pull real-world financial data from Google Finance, process it with well-commented code, and interpret the results in a risk-management context. Here is what I need from you: • Write clean, reproducible Python scripts for every question, making sure the data is fetched directly from Google Finance each time the code is run. • Embed concise explanations, assumptions, and any formulas alongside the code (either as inline comments or markdown cells if you prefer to work in a notebook before exporting). • Transfer the final answers, charts, and code snippets into a neatly formatted Word document so the assignment is submission-rea...

I have a set of weekly-refreshed sales figures that I want to explore in depth through a single, well-structured Excel workbook built around Power Pivot. The file must let me load new data each week, refresh the model with one click, and instantly see the impact across all reports. Here is what I need you to put in place: • Robust Power Pivot data model that ingests my raw sales tables and maintains clean relationships • Import and export routines (ideally via Power Query) so I can pull in CSV files and, when required, push summarized data back out • A suite of advanced DAX calculations: period-over-period growth, cumulative totals, top-N products, regional contribution, and any other metrics that help reveal trends • Interactive visualizations—charts, sli...

Headline: Driving Decisions with Data: The BMW Sales Analytics Dashboard Luxury brands don't just sell products; they sell experiences. But behind every premium experience is a massive engine of data. I’ve built a comprehensive BMW Sales Dashboard in Power BI to analyze how one of the world’s most iconic automotive brands performs across different markets. This project isn't just about the "Ultimate Driving Machine"—it’s about the Ultimate Data Insights. Key Insights Captured: Model Performance: Identifying which series (3 Series, X5, i7) is leading the revenue charts. Regional Deep-Dive: Mapping sales distribution across global territories to spot emerging markets. Engine Type Trends: Analyzing the shift from traditional Internal Combustio...

I’m kicking off a five-part AI build that will ultimately cover land value estimation, risk assessment, ROI prediction and more, but the very first milestone is a robust Land Value Estimation engine. Everything you need to understand the larger vision, data architecture and success metrics is spelled out here: Scope of this initial module • Work only with historical land price data for now; I’ll layer in geographical or environmental feeds once the core model proves reliable. • Keep the geographical focus tight—one defined local area—so we can reach production-ready accuracy quickly, then scale regionally. • Deliver a trained model (Python preferred), well-commented code and a concise report that explains feature engineering, validation metric...

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I’m working on a school assignment that must be completed in R Studio and centres on running a linear regression. The dataset is ready to share, and the goal is to: • write a clear, R script that imports the data, checks basic assumptions, fits the linear model, and outputs tidy results • provide concise explanations of each step so I can understand the rationale behind the code • include a brief write-up (Word is fine) that summarises findings, highlights any limitations, and suggests next steps Please keep the code beginner-friendly—base R or tidyverse is fine—and make sure every command is reproducible in R Studio. If you’ve helped students with regression assignments before, I’d love to see a quick sample or hear how you’d struc...

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

I’m looking for a mathematician who can tackle a range of analytical problems I’ve gathered for personal development. The questions span algebra, optimisation, and a few data-driven scenarios where results should inform sensible, real-world decisions, so the work isn’t just about getting the right numeric answer—it’s also about explaining the reasoning that leads there. Because this is purely for my own learning, there’s no hard deadline; quality of insight matters far more than speed. I’d like step-by-step solutions written clearly enough that I can follow the logic, with any supporting spreadsheets or code (Python, R, or even Excel) included if you use them during your analysis. Collaboration is welcome—I’m happy to discuss alternati...

NEED TO BE BASED IN MELBOURNE, WYNDHAM VALE I want my 14-year-old daughter to feel confident and even a little ahead in Maths, Science and beginner-level Python while staying firmly aligned with the Australian Curriculum. We’ll meet twice a week—one lesson in person at our home and one conducted online—so you should be comfortable switching between whiteboard, screen-share and hands-on demonstrations. Your task is to guide her through the Year 9 syllabus, weave coding examples into the maths and science topics, and check understanding with exercises that resemble NAPLAN questions. Before each class please send a short lesson outline; afterward, share a concise note on strengths, gaps and homework. Every two weeks I’d also like a simple progress tracker—Google...