Statistics Jobs

I'm looking for a data analyst to perform descriptive analysis on a set of CSV/Excel files. The primary goal is to generate summary statistics. Key Requirements: - Analyze provided CSV/Excel data - Generate comprehensive summary statistics - Visualize data insights clearly Ideal Skills: - Proficiency in Excel or similar tools - Experience with descriptive analytics - Strong statistical knowledge - Ability to present data clearly Looking forward to your proposals!

Spatial analysis and transit-oriented development study, Urban landuse study

I have a collection of Excel sheets filled only with numerical data, and they need to be cleaned so the figures are reliable for downstream reporting. Every value is already in place—there are no text fields—so the task focuses on catching and fixing issues such as inconsistent formats, hidden errors, duplicate rows, and any out-of-range or missing numbers. You are free to use Excel’s built-in tools, Power Query, or a lightweight script in Python/R if that speeds things up, as long as the end result remains in the same workbook structure I’ll provide. Deliverables • The original workbooks returned with all numerical data cleaned and validated • A concise change log (just a tab or a separate file) summarising the corrections you applied and any assump...

I have a collection of Excel sheets filled only with numerical data, and they need to be cleaned so the figures are reliable for downstream reporting. Every value is already in place—there are no text fields—so the task focuses on catching and fixing issues such as inconsistent formats, hidden errors, duplicate rows, and any out-of-range or missing numbers. You are free to use Excel’s built-in tools, Power Query, or a lightweight script in Python/R if that speeds things up, as long as the end result remains in the same workbook structure I’ll provide. Deliverables • The original workbooks returned with all numerical data cleaned and validated • A concise change log (just a tab or a separate file) summarising the corrections you applied and any assump...

I need a comprehensive exceptions reporting system based on time lapses using Excel spreadsheets as the data source. All workings formaulae and visualization must be in power BI. The report should identify delayed tasks. Additionally, I require a visualization dashboard to display on-track and off-track cases separately using line graphs. Ideal Skills and Experience: - Proficiency in Excel for data manipulation and reporting - Experience in creating visualization dashboards - Strong analytical skills to identify and report exceptions

For this assessment, you will closely investigate three sources of information about a fictional child. These sources include: • Observations • A parent questionnaire • An educator questionnaire Using the information provided in these sources (both separately and together), you will write a report that provides a critical, lens-based analysis of the child’s learning and development, integrating insights from multiple theoretical perspectives. . Introduction (approx. 150 words) • Provide a clear and concise overview of the content that will be covered in the report. • Outline the lenses you will use to analyse the child’s development. 2. Context for the Child (approx. 300 words) • Using the information from the observations, parent que...

I need a sharp mathematician who can jump straight into advanced algebraic functions work and turn it around quickly. The tasks involve manipulating and analysing complex algebraic expressions, verifying results, and presenting clear, step-by-step reasoning so I can follow the logic myself. Timing is critical—I’m aiming to have everything wrapped up as soon as possible, so please reply only if you can prioritise the job immediately and keep communication fast and focused. Deliverables • Complete, error-free solutions to each function problem • Concise explanations of each step so the methodology is crystal-clear • A clean file (PDF, Word, or LaTeX—whatever you’re comfortable with) containing all workings If you’re confident with high-...

I will hand over a structured set of operational data and need it examined in Excel to uncover any underlying trends. My focus is purely on trend identification rather than forecasting or broad statistical modelling, so pivot-tables, slicers, conditional formatting, and clear charts are the tools of choice. The deliverable I’m looking for is an Excel workbook that: • Transforms the raw operational figures into tidy, well-labeled tables • Highlights notable upward or downward movements across time, location, or process step • Presents those insights through easily digestible visuals—think line graphs, heat maps, sparklines, or similar—so stakeholders can spot the patterns at a glance • Includes a short summary sheet that calls out the key takeaw...

I’m searching for a patient, knowledgeable tutor who can meet my 7th- to 8th-grade learner face-to-face on a regular basis. The immediate goal is to turn nightly homework into a stress-free routine while building deeper confidence in three core areas: Algebra, Geometry, and Probability & Statistics. Here’s what I have in mind: • Meet locally for 60- to 90-minute sessions, two or three times a week, at a mutually convenient public location (library or similar). • Work through current assignments first, then circle back to reinforce any shaky concepts with fresh practice problems. • Break down abstract ideas—like variable manipulation, angle relationships, or data interpretation—into concrete examples the student can explain back to you. &bu...

Feedback from Professor, Thank you for sending me the revised version of your thesis. I have now reviewed Chapters 3, 4 and 5 and added my comments directly to the document. Overall, the empirical analysis is well structured and the main results are clearly presented. However, before preparing the final version, there is one point that I consider particularly important and that I would like you to address carefully. Since your research question explicitly compares the explanatory role of commodity prices with that of global financial conditions, you need to provide a more rigorous basis for this comparison. In particular, please report standardized beta coefficients for the regressors. At present, some statements about the US dollar index being the “strongest” variable appear t...

I’m getting ready for interviews that revolve around Power BI, advanced Excel work, and the specific challenges that come with Logistics data. My current Power BI skill level is solidly intermediate, so I don’t need a ground-up tutorial—I need someone who can push me to the next level, tighten any weak spots, and simulate the kinds of questions and practical tasks recruiters will throw at me. Here’s what I’m looking for: • Focus areas: deep-dive Power BI functionalities (DAX optimisation, data modeling, interactive visuals, and performance tuning), Excel advanced features (Power Query, complex formulas, VBA/macros if relevant), and end-to-end Logistics data analysis scenarios (inventory turns, route optimisation, freight cost KPIs, OTIF calculations). ...

I have a single Excel/CSV file (no more than 5,000 rows) containing sales figures that I need transformed into crisp, decision-ready insights. First, the dataset must be scrubbed—removing duplicates, resolving or imputing any missing values, and standardising basic formats—so the numbers tell an honest story from the start. Once the data is spotless, I want a short but thorough exploratory analysis that zeroes in on two angles: how performance varies across regions and what the figures reveal about each product category. I’m especially interested in discovering any high-performing pockets or lagging segments that a quick glance might overlook. For visual storytelling, I prefer bar charts and would like up to five of them: each one should highlight a key finding rath...

I need a thorough, data-driven look at current and emerging market trends on a global scale. The focus is squarely on trend intelligence rather than competitor profiles or customer demographic deep-dives, so the work should zero in on where the market is heading, why it is moving that way, and what quantifiable signals back those movements. You’ll gather fresh, reputable data (industry reports, financial filings, public datasets, credible news feeds, etc.), analyse it, and turn the findings into a concise, decision-ready package. I’m most interested in clear patterns: growth rates, technology shifts, regulatory changes, and consumer behaviour indicators that could shape strategy over the next 12–24 months. Deliverables • A well-structured spreadsheet (Excel or Go...

I need a concise yet in-depth fundamental analysis covering the financial health behind several major cryptocurrencies. Rather than chart patterns, I want the spotlight on company or project financials—treasury size, cash-flow sources, burn rate, token distribution schedules, revenue models, and any audit-verified reserves that could affect long-term price stability. Your report should: • Examine at least the top two coins by market cap plus any additional assets you believe merit attention. • Draw on on-chain data, quarterly disclosures, tokenomics documents, and reputable third-party audits. • Highlight red flags as well as sustainable growth signals, backing each point with verifiable data and citations. A clear executive summary, data tables, and a shor...

I am building a small learning project for my Diploma in ICT and need a clear, well-commented Python solution that reads a JSON dataset, performs descriptive statistics, and presents the results in a way a newcomer can understand. Here is what I have in mind: • The script should load a supplied JSON file, validate its structure, and extract numerical fields automatically. • Compute key descriptive measures such as count, mean, median, mode, min-max range, standard deviation, and any other basic metrics that add insight. • Display the findings in a tidy console table; a simple Matplotlib or Seaborn histogram for at least one variable would be a plus but not mandatory. • Keep everything beginner-friendly: straightforward function names, docstrings, and inline c...

I need a rigorous data validation step followed by a full cluster analysis carried out in Python and then faithfully replicated in SPSS so I can present the results in either environment without discrepancies. After the statistical work, I also have a 15-page background document that must be distilled into a clear 6- to 8-page English summary that captures its key arguments and findings. Deliverables • Data validation report confirming integrity of the supplied CSV files • Equivalent SPSS syntax/output reproducing the same clusters and statistics • Comparison note showing any differences between the two packages (if any) and how they were resolved • 6–8 page English summary of the provided 13-page text, written in a concise academic style Acceptance cr...

I need an operations management report formatted according to specific requirements. The report must be AI-generated and plagiarism-free, with the following elements: Statistical Analysis Theoretical Framework Ideal Skills and Experience: - Expertise in operations management - Proficiency in statistical analysis - Familiarity with theoretical frameworks in the field - Strong command of academic writing and formatting Please ensure the final document meets academic integrity standards and is free of plagiarism.

I have a corpus of plain text that needs to be explored through topic modeling. The job is strictly data analysis: no data entry or cleaning tasks are required beyond the usual NLP-oriented preprocessing steps. What I expect you to do • Pre-process the text (tokenisation, stop-word removal, lemmatisation, n-grams as needed). • Build and tune one or more unsupervised models—LDA, NMF or any well-justified alternative—for coherent topic extraction. • Interpret each topic with clear keyword lists and, where helpful, short example snippets. • Provide reproducible Python code (Jupyter notebook or .py script) plus a brief write-up of methodology, parameter choices and results. Acceptance criteria • Code runs end-to-end on my machine without missi...

I’m looking for a reliable educator who can give my students both one-on-one tutoring and hands-on help completing school assignments. The support will cover every core subject—Bahasa Indonesia, Mathematics, Science, Social Studies, and any others that arise—for learners from elementary through senior high school (SD to SMA). Here’s what I need: • Private lessons scheduled online or in person, tailored to each pupil’s pace and learning style. • Clear, well-structured explanations of concepts, followed by practice questions and feedback. • Assistance preparing homework, projects, summaries, PowerPoint slides, or posters when required, always produced in clean, accurate Indonesian. • Punctual delivery of all materials and respect for a...

I’m sitting on a full month of population-wide nutritional values and intake data from March 2023 and need it turned into a clear, actionable picture of how balanced (or unbalanced) our diet really is. Your task is to interrogate the numbers, benchmark them against recognised dietary reference intakes, and explain—through both visuals and narrative—where the major excesses and deficiencies lie. You’ll start by cleaning and structuring the raw dataset, then run an in-depth macro- and micronutrient breakdown. I’d like to see comparative charts, heat-maps, or dashboards that instantly show how the average intake stacks up against guidelines. Evidence-based recommendations should follow, offering practical steps to nudge the population toward a healthier balance....

Algorithms Whether you know it or not, algorithms shape your experience on social media platforms and in search engines. What is fed TO YOU is personalized based on who you are, past searches, content you engage with, and a host of other factors. This means you live in a bubble of information that you probably aren’t even aware you’re immersed in. In this assignment, you will explore the role of algorithms in shaping user experience on social media platforms. You will examine how algorithms personalize content and the ethical considerations that come with their use. This will help you understand how data-driven decisions influence user engagement, content visibility, and platform dynamics. Objectives: Understand how social media algorithms work. Explore the impact of algorithm...

I have several papers ready for publication, but I believe their quality needs improvement because they were rejected by Scopus-indexed journals. I am looking to collaborate with a co-author who can help refine these papers. In return, I am offering financial compensation. If you are interested in becoming a co-author and earning compensation, please let me know. I would also like to know if you have a Google Scholar or ResearchGate account so we can coordinate our collaboration

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key segments...

Episode Prep & Outlines: Create 2–3 structured show briefs per week (15–30 minute episode depth). Deep-Dive Data & Stats: Research player stats, injury updates, film breakdown notes, recruitment updates, and opponent previews. Talking Points & Prompts: Draft clear talking points rather than word-for-word scripts—organizing information into hooks, core topics, statistical support, and host opinion prompts. - [ ] News Tracking: Monitor SEC news, press conferences, transfer portal developments, and game-day takeaways to pitch timely angles within 12–24 hours of breaking news. Deep familiarity with LSU Tigers athletics, SEC football storylines, roster movement, and recruiting. - [ ] Fast turnaround time (able to deliver a brief within 24 hours of game c...

I have completed an initial data-extraction run for a meta-analysis that covers 20 published studies and 14 predefined questions per study. Before I proceed to analysis, I want a medically trained eye to double-check every field. The task is purely verification and double re extraction if required. full articles are available . Scope • Quantitative material sits in structured database entries (one record per study, 20 variables per record). • Qualitative answers are stored in accompanying text documents. • Both sets must be cross-checked against the original articles to confirm accuracy, completeness, and consistency. What you’ll do 1. Open the database, review each numeric and coded field against its source, and flag or correct any mismatch. 2. Read the l...

I am looking for an experienced Python and Machine Learning developer to build an AI-based bias correction model for WRF 2-meter temperature (T2m) forecasts. Historical data will include WRF forecasts and observed temperatures from weather stations . The goal is to train a model to predict forecast bias and produce corrected temperature forecasts.

I’m putting together a short series of whiteboard-style video tutorials that teach addition and subtraction to elementary students aged 9-11. The goal is to break each concept into clear, engaging steps, use simple line drawings that animate onto the screen as I speak, and insert quick “pause and solve” moments so learners stay involved. Here’s what I need from you: • 3–5 concise whiteboard/explain-type videos (around 3-5 minutes each) that cover basic facts, regrouping, and multi-digit problems. • Scripting and storyboarding that keep the language age-appropriate while still challenging the learners. • Clean voice-over (native-level English), synchronized to the drawings and handwriting-style text. • Production in 1080p MP4, re...

I am ready to commission a full-length, original research manuscript in artificial intelligence / machine learning that is suitable for submission to a Scopus-indexed, SCI-listed journal. At this stage I have no fixed problem statement, so I will rely on you to help shape a strong, publishable research question, design the methodology, run the experiments, and craft the paper end-to-end. Note : Apply only if you have a good publication record. Key deliverables • 2-3 complete manuscript (abstract through references) ready for journal submission • All code, datasets or preprocessing scripts required to reproduce the results • A concise response letter template explaining originality, significance and potential reviewer concerns Acceptance criteria will be clarity ...

Each week I receive updated Excel spreadsheets showing projected investment performance metrics. I need those figures transferred, by hand, into our internal tracking system with absolute accuracy and a quick turnaround. You will open the latest spreadsheet, locate the specified performance fields, and manually key them into the corresponding sections of our online dashboard. A brief double-check against the source file is expected so totals and percentages match before you close out the session. Deliverables each week: • All provided metrics accurately entered in the system • A confirmation note highlighting any anomalies you spotted If you are comfortable working steadily with Excel data and can commit to the same day each week, I’d love to rely on you for this ong...

I want to guide a small group of absolute beginners all the way to the point where they can land an entry-level role in AI, machine learning and generative AI. To get there, I’ll need a mentor who can design and deliver a complete learning journey—covering core theory just enough to ground them, then pivoting quickly into hands-on coding, model training and project work that showcases real-world skills. Here’s what I’m expecting from you: • A clear, modular curriculum that progresses from Python basics through classic machine-learning workflows and on to modern generative models (GPT-style LLMs, diffusion, etc.). • Live or recorded sessions with practical demos, Jupyter notebooks and datasets my trainees can keep experimenting with after class. •...

I have a sizeable set of sales transactions exported directly from my e-commerce platform and I need a clear, insight-driven analysis that helps me understand the market forces reflected in those numbers. Your task is to dive into this raw sales data, clean and structure it, then surface trends that answer key market research questions: What products or categories are gaining momentum, which customer segments are buying when and why, and how do seasonal or promotional events shift demand? I would like the final work delivered as: • A cleaned, well-documented dataset (CSV or database table) that I can reuse. • A concise written report highlighting the main findings, supported by visuals. • Interactive dashboards (Tableau, Power BI, or similar) so I can explore the trends...

I need help turning a sizable collection of unstructured finance-related text and document feeds into an accurate, production-ready predictive model. My goal is to spot patterns that reliably forecast the target variables I will share once we start (think risk scores and market-driven KPIs). The raw inputs arrive as news articles, earnings transcripts, and PDF reports, so the first step is a solid NLP-centric pipeline that cleans, tokenises, and extracts meaningful features. I work in a regulated environment, which means the code must be reproducible, well-commented, and easy to audit. Python with libraries such as spaCy, Hugging Face Transformers, pandas, and scikit-learn—or an equivalent stack—makes the most sense to me, but I’m open to a better suggestion as long as i...

The statistical groundwork is finished: 106,000+ football matches and more than 48 million individual odds movements are already structured, cleaned, and sitting in Python-ready data stores. What I need now is a fresh layer of intelligence that can group the patterns and pick up on the regime shifts as they occur —specifically, to surface the hidden structures that govern betting-market behaviour. This regime detection will challenge you immmensely but also matering it can provide enormous opportunity - are brave enough and smart enough to challenge the status quo?We have all the ground work laid and there is no statistical obvious deviation that favors the bet placer ONLY the BOOKIE over 106K of matches - and recent one months anlaysis - there is no ground work to be done only for y...

I need a dependable math pro to guide me through an entire college-level online class. All lectures, homework, quizzes and exams sit inside the course portal, and I want every deadline met with accurate, well-presented solutions. The platform is similar to Canvas/MyMathLab, so you should be comfortable navigating those systems, showing your work clearly and uploading in the required formats (PDF, Word or directly in the portal). Key deliverables • Weekly homework sets submitted on time • Timely completion of quizzes and mid-term • Detailed step-by-step solutions so I can follow the logic • Final exam finished within the window provided by the instructor Acceptance criteria • At least 90 % score on each graded item • Work must be original and pass any...

Evaluate and approve. DGA guidelines

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 %...