Statistics Jobs

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 ...

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I need detailed weekly locate reports. These reports should include: - Statistical Summaries: Focused on comparative statistics. - Data Sets: Comparative statistics should be between data sets for the same week across different weeks. Ideal skills and experience: - Data analysis expertise - Proficiency in statistical software - Experience in report generation Looking for freelancers who can deliver accurate and timely reports. Please share relevant experience.

I need an Excel expert to improve my existing business workbook. The sheet already contains customer details, revenue, expenses, profit, and aggregator information. I want to add a professional dashboard with monthly and yearly comparisons, partner-wise analysis, charts, graphs, KPIs, and other visual reports to help me track business performance. The final workbook should be automated, user-friendly, and easy to update with new data.

My language-model experiments have finished training and I now need a junior engineer who can dive into the results and turn raw logs into clear, actionable insights. All work centers on text data that has already been pre-cleaned and trained; your focus is firmly on the post-training stage. You will • parse evaluation logs, confusion matrices, and attention weights coming from Python pipelines, • calculate and visualise key metrics (accuracy, F1, perplexity, BLEU, etc.), • compare successive model checkpoints, • write concise reports that highlight strengths, failure cases, and concrete next-step recommendations, • automate the above in repeatable Python or Java scripts so future runs can be analysed just as easily. Required know-how: solid Python (pandas, NumPy...

I am looking for an Excel specialist to develop a professional executive dashboard based on an existing and structured Excel database. The dashboard must closely follow the attached reference image, maintaining the same visual style, layout, KPI cards, charts, and indicators. The workbook already contains the database, formulas, and part of the structure. The scope of work is to build the dashboard, configure Pivot Tables, Slicers, Timeline, and dynamic charts, delivering a modern, clean, and fully functional dashboard for executive presentations. Proven experience with professional Excel dashboards is highly desirable. If you have prior examples of Excel dashboards—especially around HR or performance management—feel free to include a screenshot or brief description when you re...

I need a performance analyst who can break down ice hockey games with a strong blend of data and video expertise. The main focus is performance analysis, zeroing in on three key areas: • Athlete statistics – pull skating speed, time on ice, shot quality, Corsi/Fenwick, and similar metrics, then translate the numbers into simple insights coaches can act on. • Game strategy – dissect forecheck and back-check patterns, zone entries/exits, line match-ups, and special-teams setups to reveal what drives results. • Training efficiency – connect practice data to game performance so we know which drills move the needle. Preferred tools include Hudl, Sportscode, R or Python for custom metrics, and Tableau or Power BI for clear dashboards, but I’m open to ...

I’m sharing a Technology-sector opening at micro1 that I can personally refer the right freelancer for. The role centres on Data Analysis, with day-to-day work involving hands-on Data Cleaning, Building Dashboards and carrying out Statistical Analysis. If you have a solid track record turning raw datasets into meaningful insights—think Python or R for wrangling, SQL for querying and a dashboarding tool such as Tableau, Looker or Power BI for visual storytelling—let’s talk. I’ll review your background, make sure it aligns with the job’s technical expectations and, once we’re both confident, submit a formal referral through micro1’s internal system. Deliverables I need from you before I can proceed: • A concise résumé (PDF)...

I’m ready to expand our large-language-model program and need a subject-matter expert who can take ownership of several core stages in the pipeline. Day to day, you will be: • Performing meticulous data annotation and labeling that meets our internal consistency checks • Creating clean, diverse training datasets that follow provided schema and privacy guidelines • Producing clear written documentation and task-specific guidelines; light accounting or admin updates that log progress, hours, and dataset statistics The work calls for sharp logical reasoning, strong analytical thinking, and polished written English. Prior hands-on experience with data annotation, AI training, LLM evaluation, or similar projects is essential; I’ll ask to see concrete examples or...

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

I need a Power BI report created within 2 hours using data from an Excel spreadsheet. The report should focus on operational efficiency metrics derived from aviation data. Ideal Skills & Experience: - Expertise in Power BI - Proficient in Excel data integration - Experience with aviation industry data - Ability to deliver high-quality reports under tight deadlines

I am developing a three-month CCC-style curriculum dedicated entirely to Excel for an audience of advanced users. Although they already work confidently inside the program, the goal is to move them from everyday competence to power-user level. The syllabus must weave together a quick refresher on basic functions and formulas, a solid block on data analysis with pivot tables, and a deep dive into macro recording and full-blown VBA scripting. Each concept should be taught through practical, business-oriented scenarios and reinforced with progressively challenging projects that the students can solve in class and finish at home. I am happy to blend delivery formats—video walkthroughs, PDF manuals, or interactive modules—so feel free to propose whichever mix supports hands-on lea...

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I need help with descriptive statistics for signal analysis using FFT data. I NEED SOMEONE TO COMPUTE THE SPECTRAL CENTROID FOR A NUMBER OF DATA SAMPLES I NEED SOMEONE TO COMPUTE A TRISTIMULUS MUSIC ANALYSIS OF THE SAME SAMPLES ALL OF IT CAN BE DONE THROUGH MATLAB OR PYTHON... Key requirements: - Experience in statistical analysis, particularly with descriptive statistics - Proficiency in handling and interpreting FFT data - Ability to provide clear, concise reports on findings Ideal Skills: - Strong background in statistics - Familiarity with signal processing - Proficient in statistical software (e.g., R, Python, MATLAB) Looking for someone detail-oriented and able to meet deadlines.

I'm seeking an experienced coder to use Atlas TI for coding 44 academic research articles. Requirements: - Code based on theoretical frameworks, methodological approaches, and specific terms/language - Follow a detailed coding scheme provided by me Ideal Skills and Experience: - Proficiency in Atlas TI - Background in academic research - Strong understanding of coding qualitative data - Attention to detail and accuracy

I'm seeking a detail-oriented research assistant and quantitative data analyst to support an applied econometrics research project. The work is data- and analysis-intensive, so strong hands-on statistical skills and methodological rigour matter more than anything else. Ability to clearly document the findings is also important. Core skills required +Proficiency in R (or a comparable environments like Stata) for applied econometric work +Solid grounding in panel data econometrics — fixed/random effects, the Hausman test, and related diagnostics +Familiarity with one or more of: mediation analysis, bootstrapping, threshold/non-linear regression, interaction/moderation models, and system-GMM +Comfort with panel data diagnostics (cross-sectional dependence, serial correlation, het...

My team handles daily transactional records for a Sharia-compliant banking service and the volume of raw data in our spreadsheets has outgrown the simple sums and filters we used to rely on. I need a hands-on Excel expert who can turn those rows into insight and automate the repetitive steps that slow us down. Here is the heart of the work: • Financial analysis: build robust models that follow Islamic-finance principles, highlight profit-sharing ratios, and flag any variances that might breach agreed akad terms. • Charts & dashboards: translate the numbers into management-ready visuals that can drop straight into our PowerPoint decks for monthly reviews. • Macros & automation: remove manual drudgery—think one-click data import, cleaning, pivot refresh, an...

I need an experienced analyst to dive into my finance-sector sales data, extract clear insights, and present them in a way that supports faster, more confident decisions. The raw figures are ready; what I’m missing is a clean, well-structured examination that highlights trends, pinpoints anomalies, and translates numbers into actionable recommendations. Your work should cover: • Data preparation – verify accuracy, handle missing values, and structure the dataset for efficient exploration. • Exploratory and statistical analysis – surface key drivers of revenue, seasonality, customer behavior, or any significant correlations. • Visual reporting – create clear charts or an interactive dashboard (Excel, Power BI, or Python libraries such as Matplotli...

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Mi investigación correlacional pertenece al campo de las Ciencias Sociales y combina datos cuantitativos (escalas tipo Likert, puntajes) con información cualitativa codificada. Necesito que ejecutes un análisis factorial completo en SPSS, interpretes los resultados y los conviertas en un informe listo para publicarse. Contexto del proyecto – Objetivo: identificar constructos latentes y comprobar la validez de las escalas aplicadas. – Muestra: base de datos mixta ya organizada en .sav (variables numéricas y columnas dummy de las categorías cualitativas). Lo que requiero que entregues • Syntax (.sps) bien comentado con todos los pasos: depuración, prueba de adecuación (KMO, Bartlett), extracción, rotació...

Je dispose d’un jeu de données structurées (issus de tableurs ou d’une base SQL) et je souhaite en extraire un modèle de prévisions fiable. Mon besoin se concentre sur l’analyse de données : nettoyer, explorer puis bâtir un algorithme de machine learning focalisé sur la prédiction de valeurs futures. Ce que j’attends : • Préparation : contrôle de qualité des données, traitement des valeurs manquantes et normalisation. • Modélisation : sélection d’algorithmes adaptés (par exemple : régression, arbres de décision, gradient boosting) avec validation croisée et optimisation d’hyper-paramètres. • Éva...