Statisztika Jobs

I need a fully-fledged, advanced-level course that dives deep into descriptive statistics and is ready for delivery as quickly as possible. The aim is to take learners who already know the basics and push them toward expert-level understanding of exploratory data analysis, high-dimensional summaries, and the latest visualization techniques. Here’s what I require: • Detailed syllabus that logically builds from core concepts (moments, shape, variability) toward multivariate and high-order descriptive measures. • Slide deck (PowerPoint, Keynote, or Google Slides) for each module, complete with speaker notes. • Practical notebooks or scripts in R or Python (your choice) that reproduce every example used in the slides. • At least two real-world datasets per mod...

Medical Meta-Analysis / Systematic Review Researcher Needed I am looking for an experienced freelancer to assist with medical systematic reviews and meta-analyses. The ideal candidate should have a strong background in medical/clinical research and previous experience conducting and publishing systematic reviews and meta-analyses. Required skills: * Systematic literature searching and study screening * Data extraction from clinical studies/RCTs * Risk-of-bias assessment (e.g., RoB 2, ROBINS-I) * Conventional pairwise meta-analysis * Statistical analysis using R, Stata, RevMan, or similar software * Assessment of heterogeneity, publication bias, and sensitivity analyses * Preparation of forest plots, funnel plots, and publication-quality figures/tables * Familiarity with PRISMA guidelin...

I have a single company’s financial statements archived as PDFs and I need clear, data-driven answers to two questions: how has the firm’s revenue grown over time, and what has happened to its profit margin along the way? The task starts with converting the PDF tables into a workable dataset, cleaning any OCR or formatting issues, and structuring the numbers so year-on-year trends are reliable. From there, I want descriptive statistics, visualisations that highlight revenue as well as gross and net profit, and a concise narrative explaining the drivers behind any major shifts you uncover. Please use whichever toolchain you are most comfortable with—Python (pandas, tabula, Camelot), R (tidyverse), or even Power BI/Excel—as long as the extraction is accurate and t...

I am seeking an experienced statistician or Minitab user to review and carry out appropriate statistical analysis for 18 experimental tables from a PhD thesis. The work will involve reviewing the experimental design and replicate structure for each table, selecting the appropriate statistical tests, carrying out the analyses in Minitab, and providing clear outputs suitable for inclusion in a PhD thesis and appendix. The analysis may include one-way ANOVA, General Linear Models/factorial ANOVA, Tukey HSD post-hoc comparisons, interaction effects, and appropriate checks of model assumptions, depending on the experimental design of each table. The person should: confirm that the statistical approach used for each table is appropriate; clearly distinguish independent replicates from repeat...

I need an Excel dashboard to track performance metrics, specifically focusing on operational efficiency. The dashboard will be used to visualize and analyze data related to key operational efficiency metrics. The ideal candidate should have: - Expertise in Excel, including advanced functions and data visualization techniques - Experience in creating dashboards for performance metrics - Strong analytical skills to help interpret operational efficiency data Key operational efficiency metrics to include might be: - Resource utilization - Process cycle time - Error rates Please provide samples of previous Excel dashboards created.

I need someone with experience in public health to help me with my academic research. The research is related to public health and requires collecting information from reliable sources, organizing the information, and providing references.

I need specialised support on a workbook that serves as the backbone of an ongoing project. The file already contains raw figures and basic layouts, but accuracy, efficiency, and clarity still feel out of reach. Your task will centre on refining the sheet so it performs reliably—whether that means correcting structure, introducing robust formulas, streamlining data flow, or setting up clear analysis elements. I will share the full workbook and a concise list of priorities once we connect; at that point you can confirm the most efficient path forward. When you reply, please highlight previous Excel-based work that demonstrates depth of experience. Screenshots, brief case notes, or concise descriptions of similar challenges you have solved will help me gauge fit quickly.

I run a small online study circle for high-school students and we are looking for a reliable tutor who can meet with the group once a week. The learners need help across Algebra, Geometry and introductory Calculus, so you should feel comfortable moving between those topics and spotting where fundamentals need reinforcing. Sessions will be delivered live in a group format (usually four to six students) and should be interactive—think shared whiteboard, quick polls, breakout problem-solving and plenty of Q&A. I’ll handle scheduling and provide the video-conferencing link; you come prepared with a clear lesson plan, practice problems and brief take-home exercises. What I need from you • A short outline of next week’s lesson sent 48 hours in advance • A 60-m...

NOTE: This is purely intellectual partnership. Money is not a motivation in this project. Seeking an established researcher for long-term collaboration in computational/structural biology. Applicants focusing solely on "Thesis Writing" or similar services will not be considered. Requirements: * PhD in CS, computational science, bioinformatics, statistics, or related field * Established publication record * Professional standing to serve as a future academic/industry referee Collaboration: * Strengthen methodology and experimental design * Perform supplementary analyses * Co-write manuscripts and reviewer responses * Provide a reference letter after an established collaboration Full co-authorship for contributions meeting authorship standards, with opportunities for follow-u...

# Financial Statement Data Extraction Specialist – 800+ Scanned PDFs I am looking for an experienced **Data Extraction / OCR / Data Engineering specialist** to extract financial data from approximately **800 phone-scanned financial statements** for academic research. The documents cover **multiple companies and multiple years**, and the final output must be structured as a **panel dataset in Excel** using the template I provide. ### Pilot Test I have uploaded **5 financial statements as a pilot sample**. The freelancer should extract the pilot documents into my Excel template exactly as the full project would be processed. The pilot will be used to evaluate the extraction method and accuracy before awarding the full project. ### What Must Be Extracted For each company/year: ...

I need a concise, end-to-end Python workflow that turns a small customer transaction & engagement dataset into clear insights about how people behave on our platform. The data will require thorough cleaning and validation, thoughtful feature engineering, and sensible normalization before any analysis begins. Once the data is tidy, please explore it with Pandas and NumPy, surface the most useful behavior patterns, then build a light predictive component focused on customer segmentation. A handful of well-chosen Matplotlib charts should illustrate the key trends and support the final narrative. Deliverables • A single, well-commented Python script or Jupyter Notebook that runs start to finish without manual tweaks • The cleaned, processed version of the dataset saved ba...

I need help with analyzing a dataset using Excel. The required statistical analysis is descriptive statistics. Key tasks include: - Calculate mean, median, mode - Determine variance, standard deviation - Create frequency distribution Ideal skills and experience: - Proficiency in Excel - Strong background in statistics - Experience with data analysis Please provide your approach and relevant experience.

I’m looking for a patient, engaging maths tutor who can work with students up to 10th standard. The focus will be on strengthening concepts in Algebra and equations as well as Geometry and shapes. All sessions will be conducted online, once a week, at a mutually convenient time. Here’s what I need from you: • A structured 60- to 90-minute lesson each week delivered via Zoom, Google Meet, or any comparable platform. • Practical exercises or worksheets after every class so the student can practise independently. • A brief progress note at the end of each month highlighting strengths, areas for improvement, and suggested next steps. Strong communication skills and prior experience teaching similar age groups are important. If you’re confident expla...

I need a clean, fully-object-oriented implementation of simple linear regression written from scratch in Python. The purpose of this model is to make the relationships between variables explicit and interpretable, rather than merely spitting out predictions. You will read the training data directly from the database I grant you access to, so a light SQL wrapper inside your code will be useful. I expect a brief yet structured project proposal first—outline your class design, the main methods, and how you will validate the model’s fit and interpretability. Once we agree on the approach, you can proceed to coding. Deliverables • A self-contained Python 3.x module that defines the regression classes, handles database connection/ingest, trains, evaluates, and outputs coeffi...

I am preparing a research article on the estimation of several entropy measures for the Inverse Power Half-Logistic distribution under an Upper Record Ranked Set Sampling scheme. The work must develop Bayesian, non-Bayesian and expected Bayesian estimators, assess them through a thorough Monte-Carlo study, and demonstrate their practical value on real data. You will write the complete manuscript and supply every line of code that leads to the reported numbers and figures. My preferred workflow uses both R and Python, so feel free to split the analysis between, for example, tidyverse / rstan in R and numpy / scipy / matplotlib in Python, provided the results match. The paper should follow the structure: Abstract, Literature Review, Methodology, Conclusion, and be typeset in LaTeX (with a...

I need a seasoned content creator who can translate quantitative market analysis into short, compelling LinkedIn updates every weekday. Each post should distill the day’s key data points—price action, volume shifts, notable statistical signals, or macro indicators—into a crisp narrative that busy finance professionals can read in under a minute. Because the core goal is to provide daily market insights, I expect you to be comfortable scanning data feeds, charts, and reputable research, then turning those findings into plain-English commentary with an evidence-backed takeaway. Familiarity with Bloomberg, Python-driven charting, or similar quant tools will help you move fast and keep the voice authoritative without drifting into jargon. Your experience writing for fin...

I need assistance on an Excel spreadsheet. The tasks include repairing and adding formulas, specifically for statistical analysis, as well as fixing data formatting issues. Ideal skills and experience: - Expert in Excel - Strong background in statistical analysis - Attention to detail for formatting corrections Please provide your experience and approach to similar tasks.

I’ve built LeanProjax, a web platform that runs Lean Six Sigma projects end-to-end through DMAIC gates, with an integrated statistical toolkit (capability analysis, MSA, control charts, hypothesis testing, SIPOC, FMEA, and related tools). I’m looking for a practising Lean Six Sigma professional to use the platform against a realistic project and give me honest, critical feedback. This is a methodology and usability review, not a bug hunt and not a marketing task. What you’ll do: 1. Run a supplied demo dataset through a full DMAIC cycle in the platform (≈3–4 hours). 2. Assess whether the tool sequencing, gate structure, and terminology match how you actually run projects in the field. 3. Evaluate the statistical outputs — correctness, presentation, ...

I’m looking for a patient, engaging tutor who can work with Kindergarten-to-2nd-grade students entirely online. The goal is to build a solid foundation in the three core subjects my learners need most help with: • Math • Science • English You’ll plan and deliver fun, age-appropriate lessons, incorporating interactive tools, visual aids, and simple real-world examples so young children stay motivated. Sessions should be live, one hour each, scheduled two or three times per week at mutually convenient times. I’ll provide an outline of current skill levels and any school materials once we start; you’ll track progress and give brief feedback summaries after every session so parents can see growth week by week. Reliable internet, a clear webcam...

The task is to build a clear, actionable marketing strategy centred on solid strategic planning principles and strengthened with operations-research techniques. I want one cohesive document that lays out objectives, target segments, positioning, channel mix, timelines and KPIs, while an accompanying optimisation model shows—through forecasting or linear programming—how spend and resources can be allocated for maximum return. A concise list of deliverables keeps everything transparent: • Written strategic marketing plan (Google Doc or Word) • Interactive optimisation model (Excel Solver, Python/SciPy or R) that my team can tweak • Short hand-off session or video explaining the framework Acceptance criteria: the plan must link each initiative to measurable ...

I have a raw data set sitting in Excel that needs to be turned into clear, insightful visuals right away. The core of the job is data analysis and visualization—think pivots, dynamic charts, maybe a quick dashboard—that lets me spot trends and present findings to stakeholders without delay. I’m looking for someone who has already handled similar Excel-based analytics projects. When you message me, briefly spell out your experience with advanced functions, charting tools, or any past dashboards you’ve built; that background will help me gauge fit quickly. Timeline is tight: I need the first workable version back ASAP, with any tweaks wrapped up immediately after review. Deliverables are straightforward: • A cleaned, well-structured workbook • Clear, re...

I have a very large customer dataset from my restaurant operations that I want explored in depth. The sole focus is on purchase-pattern insights—how, when, and what guests buy—so I can refine promotions, optimize inventory, and improve table turnover. You’ll start by cleaning and structuring the raw files, then move into quantitative analysis using whatever mix of Python (Pandas, NumPy), SQL, or a BI tool such as Tableau/Power BI you prefer. I expect clear visualizations and a concise written summary that highlights actionable findings—think cohort trends, time-of-day spikes, day-of-week swings, and any unexpected correlations you uncover. Deliverables • Cleaned, documented dataset (CSV or database dump) • Interactive dashboard or set of charts i...

I have a raw dataset sitting in several Excel/CSV files and I need a clear, well-structured descriptive analysis of it. The core of the job is to tidy the data, explore it, and then tell the story it contains through concise statistics and intuitive visuals. Because my timeline is flexible, you can take the time you need to dig in, iterate, and present findings that are genuinely insightful rather than rushed. Here is what I’m expecting: • A cleaned, well-documented version of the original files (keep the original structure intact in a separate tab or file for reference). • Summary statistics that highlight central tendencies, variability, and any patterns worth noting. • Visualization assets—charts, heat maps, pivot-style tables, or a lightweight dashboar...

I have a set of ongoing medical studies that need a fresh statistical perspective before they are sent to peer-review. Your first task is to read through the data and methodology, then run a full suite of descriptive statistics—clean tables, clear graphs, and a short narrative of the findings. If you notice anything that would benefit from deeper testing, let me know; I’m open to expanding the analysis where it makes scientific sense. Once the numbers are in good shape, the focus shifts to publication. I don’t yet have target journals, so I’ll rely on you to suggest the most appropriate outlets, weighing scope, impact factor, and turnaround times. From there, I’ll need help formatting the manuscript to match the chosen journal’s guidelines, preparing ...

I have a dataset that’s raising more questions than answers and I need a seasoned pair of eyes to perform thorough diagnostic analysis. Using Excel for quick exploratory checks and Python (Pandas, NumPy, Matplotlib, or similar) for deeper dives, your job is to uncover the root causes behind the trends and anomalies I’m seeing, then translate those findings into clear, practical recommendations I can act on immediately. Here’s what I’m expecting: • A brief plan outlining the analytical approach you’ll take once the data is shared. • Cleaned, well-documented code/notebooks plus any supporting Excel files. • A concise report (slides or PDF) that walks through the key drivers you discovered, the evidence behind them, and suggested next steps....

I have a collection of raw scientific data that now needs a thoughtful, end-to-end analysis. The focus is purely analytical—I am not looking for basic entry work or pretty dashboards unless they directly support the final interpretation. Your job will be to explore the dataset, clean anything that could bias results, run the appropriate statistical tests or modelling techniques, and translate the findings into clear conclusions I can act on. If visualisations help tell the story, include them, but insights come first. I am comfortable with you using Python (Pandas, SciPy, scikit-learn, Matplotlib/Seaborn), R, MATLAB, or any other standard scientific stack, so feel free to work in the environment that lets you move fastest while maintaining reproducibility. Please outline briefl...

I'm looking for an expert in public health to assist with a research and analysis project. The focus area is yet to be determined, whether it's Epidemiology, Health Policy and Management, or Biostatistics. Ideal Skills and Experience: - Advanced degree in public health or related field - Strong background in research methodologies - Experience in one or more of the focus areas - Ability to analyze and interpret complex data - Excellent written and verbal communication skills Please provide relevant experience and approach in your bids.

I’m sharing a rich, multi-sensor environmental dataset and I want to see just how much actionable knowledge you can squeeze out of it. Your mission is to surface at least 35 meaningful KPIs and supporting metrics, lay every calculation bare, explain why each one matters to real-world decision-making, and wrap it all into both an interactive Excel dashboard and an accompanying analytical report. The dataset blends multiple environmental streams, so correlations, anomalies, quality indicators, and uncovering hidden patterns are all on the table. I will reward depth of thought far more than flash: half of the score is tied directly to the strength, originality, and relevance of the KPIs you define. Methodology and transparent maths account for another 20 %, clarity of presentation 20 %...