Statystyka Jobs

I'm seeking an expert in systematic reviews for guidance on conducting a review with limited studies. Key areas: - Feasibility of conducting a systematic review with only one study - Evaluating intervention effectiveness - feasibility of conducting a systematic review and narrative synthesis Ideal skills and experience: - Expertise in systematic reviews - Experience with limited data sets - Strong analytical skills

Assignment Description This assignment will allow you to apply the principles of data visualization to a real-world dataset. You will have to create a scatterplot and then interpret your graph. Dataset: Diamond Download Diamond prices.xlsx. This dataset contains multiple variables related to diamonds and their characteristics that you can analyze and visualize. Instructions Your task is to visualize with a scatterplot a potentially interesting relationship between two variables that is worth visually exploring. Scatterplot Creation Using the dataset provided, create a scatterplot that represents the relationship between diamond carats and prices (in USD). As there is a huge number of registers, let’s apply some filtering to plot just the best diamonds included in the...

Assignment Description This assignment will allow you to apply the principles of data visualization to a real-world dataset. You will have to create a scatterplot and then interpret your graph. Dataset: Diamond Download Diamond prices.xlsx. This dataset contains multiple variables related to diamonds and their characteristics that you can analyze and visualize. Instructions Your task is to visualize with a scatterplot a potentially interesting relationship between two variables that is worth visually exploring. Scatterplot Creation Using the dataset provided, create a scatterplot that represents the relationship between diamond carats and prices (in USD). As there is a huge number of registers, let’s apply some filtering to plot just the best diamonds included in the...

I have a data-analysis assignment focused solely on cleaning a dataset I refer to as “Point 131.” The current raw file shows a CPM value of 116 but contains inconsistencies, blanks, and probable entry errors that must be resolved so the final table reflects 100 % accuracy. What I need from you is a systematic, well-documented cleaning pass: remove duplicates, correct obvious typos, standardize formats, flag outliers, and leave me with a pristine file plus a brief change log that explains every edit. I am not under time pressure, so you can take the time required to reach the highest quality standard rather than rushing through. You may use whichever tools you are most comfortable with—Python (pandas), R (dplyr), Excel Power Query, or any reliable data-wrangling environm...

I have a data-analysis assignment focused solely on cleaning a dataset I refer to as “Point 131.” The current raw file shows a CPM value of 116 but contains inconsistencies, blanks, and probable entry errors that must be resolved so the final table reflects 100 % accuracy. What I need from you is a systematic, well-documented cleaning pass: remove duplicates, correct obvious typos, standardize formats, flag outliers, and leave me with a pristine file plus a brief change log that explains every edit. I am not under time pressure, so you can take the time required to reach the highest quality standard rather than rushing through. You may use whichever tools you are most comfortable with—Python (pandas), R (dplyr), Excel Power Query, or any reliable data-wrangling environm...

I need a model for predicting the success of bariatric surgery in adolescents with diabetes using parameter estimation. The model should be based on clinical data. Data Available: - Clinical data: Medical history, Laboratory results - Preferred methods: Combination of statistical analysis and machine learning Ideal Skills: - Expertise in statistical analysis and machine learning - Experience with clinical datasets - Strong background in medical data interpretation

I have raw sales data coming in daily, and I need it transformed into clear, interactive Power BI dashboards that let me track performance at three levels—daily, monthly, and quarterly—without having to wrestle with spreadsheets. Scope of analysis • Sales volume trends so I can spot spikes or drops immediately. • Product-level insights that rank best- and worst-performing items at a glance. • Regional comparisons to show which areas are driving revenue and which need attention. .Sales person wise product and product category wise and product wise sales Preferred visuals Bar charts, line graphs, and pie charts work best for my team, so the finished reports should lean on those, switching automatically when I filter dates, products, or regions. D...

I have a CSV that logs product sales alongside TV, Radio, and Newspaper advertising spend. I want a clean, reproducible Python workflow that turns this data into an accurate sales-forecasting model and a concise set of insights for decision-makers. The raw file contains a few gaps, so your first step is to inspect, clean, and appropriately impute missing values. Once the data is tidy, explore it with Pandas, NumPy, Matplotlib, and Seaborn to surface correlations and outliers. For modelling, start with a well-documented Linear Regression approach using scikit-learn. If you see a clear uplift from adding regularisation or polynomial terms, feel free to include that comparison, but keep the final deliverable focused on a model that is simple to interpret and easy to retrain. Deliverables ...

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We are looking for an Engineering Mathematics research expert for mathematical science projects. If you have the experience in areas of mathematical combined with sciences such as biomedical and engineering research project skills. This is a perfect match if your have several research published in researchgate.

I have a set of raw sales figures and I need a clear, well-structured descriptive analysis. Your task is to explore the data, calculate the key summary statistics, and surface meaningful trends or anomalies that a non-technical stakeholder can understand at a glance. Please: • Clean and prepare the dataset as needed • Produce summary metrics (totals, averages, growth rates, top-performing products or regions, etc.) • Visualise the findings with straightforward charts or an interactive dashboard • Deliver a concise written explanation of what the numbers mean for the business I’m flexible on the tools—Python (pandas, matplotlib, seaborn), R, or even an Excel Power Query/Pivot workflow are all fine—so long as the process is reproducible and the f...

I am a developer by background, and I am currently working on building a custom AI agent. The agent is intended to read subscribers' chat histories and answer questions based on past conversations. While I have experience as a data analyst and data scraper, I am not an LLM engineer. I need a general guide and a simple script that would allow me to conduct initial testing. Given this project is still in its early stages and I am operating on a limited budget. Once documentation and python script are working, this project will be closed. Documentation is mandatory and ai bid will be ignored. Only individual freelancers! Thank you.

<< Am nevoie de ajutor in redactarea lucrarii mele de licență. Sunt studentă la FABBV ASE Bucuresti, iar tema este “Analiza calitativa si/sau cantitativa a gradului de bancarizare al populatiei”. >> Am nevoie de o analiză atât calitativă, cât și cantitativă a gradului de bancarizare a populației din România. Mă interesează să înțeleg motivațiile, barierele și profilul socio-demografic al persoanelor bancarizate și nebancarizate, precum și dimensiunea numerică și evoluția segmentelor-cheie. Metodologia rămâne la latitudinea ta, însă mizez pe: • colectare și prelucrare de date secundare (INS, BNR, Eurostat, rapoarte internaționale) • elaborarea unui chestionar sau interviuri ghidate pentru date primare, dacă vezi utili...

Pls read carefully I need a sharp academic editor / writer to bring the last pieces of my mixed-methods dissertation together. First, please run a quick consistency check to be sure the qualitative interview results and the survey-based quantitative results (chapter 4) still point in the same direction. Any misalignment should be flagged and briefly explained so the narrative in Chapter 4 remains airtight. Next comes Chapter 5, the case study. We will validate (both data streams) through a small set of fresh interviews—around five or six key personnel is enough. Assume any contextual variables you need, then walk each participant through the previously identified themes and statistical findings. Document where the interview feedback confirms, nuances, or contradicts those earlier...

I need backtesting for several momentum-based stock trading strategies and, once the numbers check out, a clean piece of code that automates each setup end-to-end. Here is what I already have on hand and will share the moment we start: • Historical price data for all tickers involved • A library of technical indicators calculated for the same period Your first task is to run a rigorous backtest on every strategy, report the key performance metrics, drawdowns, trade statistics, and an equity curve that I can easily interpret. If tweaks are required, we will iterate until the logic is solid. When the strategy logic is confirmed, I want it coded in a production-ready script (Python, Pine Script, or another language you recommend). The final deliverable should: • Reproduc...

I’m looking for a trainer who can guide me through the advanced-level capabilities of Microsoft Dynamics 365 Sales and Customer Service, together with the complementary tools in the Power Platform (Power Apps, Power Automate and Power BI). I already understand the basics; what I need now is a practical deep dive that shows how to streamline the full lead-to-cash process, automate repetitive tasks, and surface insights through customised dashboards. The engagement will be one-on-one, conducted live online, and paced so that each concept is immediately applied in my own sandbox environment. I’d like you to: • Structure a clear learning path that moves from configuring advanced entities, business process flows and interactive dashboards all the way to building model-driven ...

I need a focused Power BI report that clearly shows Expense vs Revenue trends for my finance team. All raw figures sit in a series of Excel spreadsheets, so the first step will be connecting those workbooks, modelling the data, and building a clean, refresh-ready dataset. From there, I want an intuitive dashboard with drill-downs, dynamic date filters, and visuals that let us spot cost overruns or income spikes at a glance. Because this will feed directly into monthly management meetings, I will require the finished .pbix file, any supporting M-code/DAX documentation, and a short walkthrough (screen-recording is fine) so the team knows how to refresh and extend the model. When you respond, include a detailed project proposal outlining your approach to: • importing and transforming ...

I have a curated set of roughly 700 post-operative periapical X-rays taken after root canal treatments by dental students. I need a computer-vision model, built in Python with TensorFlow or PyTorch, that can automatically assess each case and return two outputs: • a numeric score that can be used in our grading spreadsheet, and • a concise feedback report highlighting strengths and mistakes. The evaluation must cover the accuracy of the root-canal pathway, cleanliness of the treated area, and overall completion quality. I will provide a detailed rubric with additional sub-criteria so the model can translate radiographic findings into tutor-style comments. Your job is to design, train, and validate the model, then package an inference script that accepts a single X-ray or...

I need a focused Power BI report that clearly shows Expense vs Revenue trends for my finance team. All raw figures sit in a series of Excel spreadsheets, so the first step will be connecting those workbooks, modelling the data, and building a clean, refresh-ready dataset. From there, I want an intuitive dashboard with drill-downs, dynamic date filters, and visuals that let us spot cost overruns or income spikes at a glance. Because this will feed directly into monthly management meetings, I will require the finished .pbix file, any supporting M-code/DAX documentation, and a short walkthrough (screen-recording is fine) so the team knows how to refresh and extend the model. When you respond, include a detailed project proposal outlining your approach to: • importing and transforming ...

I need a focused Power BI report that clearly shows Expense vs Revenue trends for my finance team. All raw figures sit in a series of Excel spreadsheets, so the first step will be connecting those workbooks, modelling the data, and building a clean, refresh-ready dataset. From there, I want an intuitive dashboard with drill-downs, dynamic date filters, and visuals that let us spot cost overruns or income spikes at a glance. Because this will feed directly into monthly management meetings, I will require the finished .pbix file, any supporting M-code/DAX documentation, and a short walkthrough (screen-recording is fine) so the team knows how to refresh and extend the model. When you respond, include a detailed project proposal outlining your approach to: • importing and transforming ...

I need a focused Power BI report that clearly shows Expense vs Revenue trends for my finance team. All raw figures sit in a series of Excel spreadsheets, so the first step will be connecting those workbooks, modelling the data, and building a clean, refresh-ready dataset. From there, I want an intuitive dashboard with drill-downs, dynamic date filters, and visuals that let us spot cost overruns or income spikes at a glance. Because this will feed directly into monthly management meetings, I will require the finished .pbix file, any supporting M-code/DAX documentation, and a short walkthrough (screen-recording is fine) so the team knows how to refresh and extend the model. When you respond, include a detailed project proposal outlining your approach to: • importing and transforming ...

I'm seeking assistance with my final year university dissertation in Sports and Exercise Science, using an experimental research methodology. Requirements: - In-depth knowledge of Sports and Exercise Science - Expertise in designing and conducting experimental research - Ability to analyze and interpret scientific data - Strong academic writing skills Ideal Skills: - Background in Sports Science or related field - Experience with experimental research methodologies - Proficiency in statistical analysis software Please provide samples of previous academic work.

I'm seeking a detailed analytical report on our social media performance, specifically for Twitter and Instagram. The report will be shared with clients, so it needs to be professional and insightful. Key Metrics to Analyze: - Engagement Rates - Follower Growth - Post Performance - Competitor Analysis Ideal Skills and Experience: - Proven expertise in social media analytics - Strong understanding of Twitter and Instagram metrics - Ability to create clear, insightful reports for clients - Experience in competitor analysis Please provide samples of previous work and estimated delivery time.

Title: Data Structures & Programming Help | Academic Writing & Coding Support Description: I am a BCA student with hands-on experience in C, Python, and DBMS. I offer affordable and reliable support for: Writing clear, exam-style code (stacks, queues, BSTs, binary trees). Debugging and explaining outputs in simple student-friendly language. Creating academic content, notes, and revision guides. Preparing structured reports or project documentation. What you’ll get: Clean, easy-to-understand code with sample outputs. Well-organized notes or reports (3–4 pages or more, depending on need). Fast delivery and revisions until you’re satisfied. Professional yet student-style work that avoids unnecessary complexity. Pricing: $5–10 per hour (or fixed...

I'm looking for an experienced Alteryx professional to help with a data analysis assignment. Key Requirements: - Proficient in Alteryx for data analysis - Experience with various data types, especially financial and operational data - Ability to deliver insights and actionable recommendations - Strong attention to detail and problem-solving skills Please share relevant experience and past work in your application.

I’m sitting on several datasets—a mix of tidy spreadsheets and raw text logs—and I need them transformed into business-ready insights with reliable predictive power. Your first task will be to clean and consolidate this structured and unstructured data in Python using Pandas / NumPy and, where helpful, SQL queries. Once the data pipelines are solid, I’d like an exploratory analysis that highlights key patterns or anomalies before we move into supervised models that forecast the metrics I care about most. For visual communication, every important finding should flow into an interactive Power BI dashboard. I lean on these dashboards to brief non-technical stakeholders, so clarity and drill-down capability matter as much as aesthetic polish. Deliverables • Cle...

I need a sharp set of eyes on three complementary datasets—sales, customer, and market—so I can clearly see the trends shaping my business. You’ll receive the raw CSVs (well-structured and cleaned) and any accompanying data dictionaries on kickoff. Your mission is straightforward: examine the data holistically and surface meaningful patterns, correlations, and emerging movements. I’m interested in seasonality, shifts in customer behavior, product-level performance, and any market signals that can guide strategy. Deliverables • A concise written report (PDF or DOCX) outlining key trends, supporting statistics, and business implications • Interactive visuals or dashboards (Tableau, Power BI, or Python notebooks with Matplotlib/Seaborn/Plotly) that let me...

I have a series of math-focused tasks that I’d like to solve by harnessing ChatGPT Plus. Because I don’t have a Plus subscription myself, I need someone who does—and who also feels comfortable with higher-level mathematics—to collaborate with me in real time. The core of the job is to prompt ChatGPT Plus so it produces clean, runnable code that can automatically generate accurate answers to the problems I supply. Most requests will revolve around creating short functions or scripts, reviewing the logic that ChatGPT proposes, then refining the output until both the mathematical reasoning and the syntax are solid. While I’m open to whatever language ChatGPT suggests, you should be ready to validate the results, run tests on your side, and share the working sn...

I am already scoring in the 1200-plus range on the SAT, yet my Reading and Writing & Language results lag behind my Math. I want targeted help to turn these weaker sections into consistent strengths. Here’s what I’m looking for: • An experienced SAT tutor who knows the Reading and Writing & Language sections inside out and can quickly diagnose the specific question types that trip me up. • A customized study plan that drills grammar rules, passage analysis, and timing strategies—not generic worksheets. • Clear, actionable feedback after every practice set so I understand exactly why an answer is right or wrong and how to replicate that thinking on test day. • Regular progress tracking using official College Board materials so we can...

I'm conducting a study on social emotional competence among K-12 teachers in Louisiana, focusing on 'intent to stay.' Key Requirements: - Research design and methodology - Data collection and analysis - Reporting findings Ideal Skills: - Experience in educational research - Strong analytical skills - Proficiency in statistical software

I’m rolling out a market-expansion strategy and need a full predictive-analytics design that turns raw market-trends data into clear, actionable forecasts. The goal is simple: surface which regions, segments, and timing windows will give us the highest return as we scale. Here’s what I’m looking for: • A data-pipeline blueprint that pulls, cleans, and stores external market trends feeds (think industry reports, macro indicators, social-buzz dashboards). • A modeling approach—Python with scikit-learn, TensorFlow, or a comparable framework—that can forecast demand shifts and flag emerging opportunities at least one quarter ahead. • Visual outputs (dashboards or notebooks) that make it easy for non-technical stakeholders to compare expansion ...

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 trade index and single-stock options on Indian exchanges and I’m looking for a quant who can dig deep into volatility modeling with one clear goal: sharpen my live trading strategies. You will take raw options data (primarily vix NSE/BSE), build and calibrate advanced volatility models—think GARCH variants, stochastic-vol, local-vol, surface interpolation—and translate the results into actionable entry, exit and sizing rules. Experience handling large intraday datasets, cleaning corporate-action adjustments, and coding robust back-tests in Python / R is essential; C++ or Julia skills are a plus if you can speed up the heavier calculations. Key deliverables • A fully documented research notebook or repo that pulls, cleans and stores historical option chains an...

I need a neural network expert to develop a model for food formulation analytics. Requirements: - Analyze food formulations and ingredient substitutions - Predict optimal ingredient mixes - Develop taste and texture profiles - Formulation development Ideal Skills: - Experience in predictive analytics - Strong background in neural networks - Knowledge of food science and formulations - Proficiency in Python, TensorFlow, or similar frameworks I would like to design a neuron network software like a company called Giuseppe. I have all the data to populate the databases. 90% of everything is open source.

I have gathered a collection of randomized clinical-trial results in a single Excel workbook and want to quantify treatment-related side-effects with a fully Bayesian approach. The task is to import the Excel data, run a random-effects Bayesian meta-analysis, and extend it with meta-regressions that explore how study-level covariates influence the incidence of adverse events. I work most comfortably in R, so please build the workflow there—packages such as brms, rstanarm, bayesmeta, or similar are fine as long as the code is transparent and reproducible. If you prefer to prototype in Stata that is acceptable, but the final deliverable must run end-to-end in R. Key points to cover • Clean and prepare the Excel dataset for analysis • Specify appropriate priors and jus...

I'm looking for a skilled data analyst to help with my college project in computer science. The project involves analyzing large datasets and providing insights. Requirements: - Proficiency in data analysis tools (e.g., Python, R, SQL) - Experience with data visualization tools (e.g., Tableau, Power BI) - Strong analytical and problem-solving skills - Ability to present findings clearly Ideal Skills: - Background in computer science or related field - Experience with machine learning techniques - Good communication skills

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I need a robust discounted-cash-flow model built from the ground up so I can confidently value a new business line we are assessing. The work sits squarely in the financial-modeling side of FP&A and focuses exclusively on valuation rather than budgeting or cost tracking. Attached is the sheet I need completed and I would like to then have a brief session understanding how it was done. (1 - 2 hour would suffice for this I presume).