Correlation and regression trabalhos

...highly skilled data scientist with a strong background in linear regression, social network analysis, time series analysis, and web visualization. My project involves identifying potential future trends by leveraging data science techniques. Your role would include: - Applying your expertise in linear regression and time series analysis to predict future trends based on historical sales data. - Implementing social network analysis to understand the societal impact and potential market of these trends. - Utilizing web visualization to present these results in a simple and understandable way. Ideal candidates will have: - Prior experience with predictive modelling. - Extensive background in time series analysis and linear regression...

...advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for most families. Additionally, in order to help new homeowners and home sellers with important decisions, real estate professionals need to go beyond showing property inventory. They need to be well versed in the relationship between price, square footage, build year, location, and so many other factors that can help predict the business environment and provide the best advice to their clients. Prompt You have been recently hired as a junior analyst by D.M. Pan Real Estate Company. The sales team has tasked you with preparing a report that examines the relationship between the selling price of properties and...

...cleaning and organizing a dataset. - You should be proficient in Python. - Experience with data cleaning and manipulation. - Familiarity with data analysis would be an added advantage. Part A: Advanced Data Analysis Load '' into Jupyter or Colab. Compute Pearson's correlation coefficient for all attributes, save as corr_matrix. Sort and display correlation of all attributes with 'number_of_reviews'. Visualize with Seaborn's heatmap for corr_matrix and pandas' scatter_matrix for 'number_of_reviews', 'reviews_per_month', 'availability_365'. Part B: PCA with MNIST Dataset Discuss motivations and drawbacks of reducing dimensionality, including the curse of dimensionality. Ex...

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...existing Python code. This code is designed to perform a range of statistical and probability calculations. Key Requirements: - The code should be thoroughly tested and debugged to ensure it functions correctly - The code should be capable of performing complex statistical and probability calculations, such as: - Descriptive statistics - Hypothesis testing - Regression analysis - Probability distributions - Conditional probability - Bayesian inference Ideal Skills: - Expertise in Python programming - Strong background in statistics - Experience with statistical libraries in Python (e.g., NumPy, SciPy, Pandas) - Attention to detail and ability to debug code effectively - Strong problem-solving skills and the ability to troubleshoot...

The project comprises 6 regression models (linear, logistic, and moderation) based on a set of dependent and independent variables. I need someone with good knowledge of statistics to operate a dataset, make log transformations in the data, and give me the regression analysis results in an Excel spreadsheet.

...versatile classification models including Multi-Class Logistic Regression, Support Vector Machine, Random Forest, and Gradient Boosting Model. The goal is to predict NHL game results. Key aspects that need consideration are: * Team and player statistics. Required skills and experiences: * Proven track record in Machine Learning, specifically in the creation of classification models (Multi-Class Logistic Regression, Support Vector Machine, Random Forest, and Gradient Boosting Model). * Expertise in sports data analysis, particularly in the NHL. * Strong knack for accurate prediction success rate. * Able to provide a comprehensive report comparing the model results. In your proposal, please share a brief summary of your experience and...

I am looking for a skilled Data Science professional who can create beginner-level training projects in Machine Learning using ...can create beginner-level training projects in Machine Learning using Python. Key Project Details: - Topics: The projects should cover a range of basic Machine Learning concepts and techniques, and be suitable for beginners. Examples include linear regression, decision trees, and clustering. - Programming Language: Python is the preferred language for these projects, so a strong proficiency in Python is essential. Ideal Skills and Attributes: - Proven experience in Data Science and Machine Learning. - Excellent command of Python. The aim of these projects is to provide students with hands-on experience and ...

We are seeking a skilled and proactive freelancer to conduct a comprehensive study on the performance of our radiative cooling paint in different regions across India, considering the variations in Atmospheric Transparency Windows (ATW) caused by varying water vapor content in the atmosphere. The objective is to analyze how the radiative cooling performance of our paints is influenced by these regional and seasonal variations. Metamaterial: Project Objectives: Data extraction and ATW Variation Analysis: Extract humidity and water vapor data focusing on different seasons in all states of India to plot the variations in the Atmospheric Transparency Window (ATW) across different regions in India

I'm looking for an expert in Python, C# and machine learning, preferably with a background in options trading. The main goal of this project is to blend machine learning with options trading strategies. Key Responsibilities: - Develop machine learning models: I'm aiming for a basic level of complexity, such as linear regression and decision trees. - Code in Python and C#: You should be proficient in both languages, as the software will be primarily in Python, but will also need to interface with C#. Ideal Candidate: - Proficient in Python and C#. - Experience in developing machine learning models, especially in the realm of options trading. - Able to handle the complexity of blending machine learning with trading strategies.

...in econometrics and statistical regression modeling, particularly utilizing STATA software. The project involves a comprehensive analysis of employee wage data using quantile regression and decomposition techniques, both with sample selection adjustments. OBJECTIVE 1.) Determine the impact of various characteristics of workers on their wage in the Sectors (regular and casual separately) using the BEST sample selection adjustment technique along a conditional quantile regression model, and then decompose the gender wage gap (between males and females) with the same sample selection adjustment technique using Melly’s Machado-Mata decomposition for regular and casual separately. 2.) Determine the impact of various work...

For my project, I'm seeking an expert in creating statistical formulas that woul...seeking an expert in creating statistical formulas that would convert compiled raw data into a clean, streamlined dashboard. This formula should be able to handle the following: - Data Type: Call volume averages from the past week. - Statistical Concept: The formula should be able to perform a comprehensive regression analysis and probability calculation from the raw data. Ideal candidates should have a solid background in statistics, proficiency in data visualization and analysis, and significant experience with dashboard creation. Knowledge of how these concepts apply to call center data would be a definite plus. Effortless transformation of data into easily digestible in...

The aim of our project is to identify relationships between variables in a given dataset. We'll be utilizing pooled data in order to conduc...is to identify relationships between variables in a given dataset. We'll be utilizing pooled data in order to conduct this analysis. If you are experienced in handling such kind of data, it would be optimal. Familiarity with regression concepts and an ability to interpret and manage data sets with less than 5 independent variables is mandatory. Key Responsibilities: - Evaluate and Identify relationships between different variables - Conduct regression analysis on pooled data Ideal Skills: - Strong understanding of regression analysis - Proficient in handling and interpreting pooled data...

...consists of 150 participants whose age, gender, BMI, and 3 lab tests ( level of K, L, and K/L ratio) were conducted upon ( results are provided as numerical value ). • I want descriptive statistics and charts based on: a) Age group where they are divided into 4 different groups ( 18-30, 31-40,4 1-50, 51-64). b) Per Gender. • I want the (2.5, 5, 50, 90, and 97.5) percentiles for each lab test result (grouped according to age as well). • I want to test whether there is a statistical significance for each of age, gender, and BMI on each of the 3 lab tests ( K, L, and K/L ratio). Also, I want the 3 factors to be combined in one regression analysis. • Note that I also want the percentiles to be done after tra...

...RStudio and PySpark to AWS Sagemaker. Your task will be to: - Understand two models I have running locally. One is a Rstudio logistic regression model, and the other is a pySpark XGboost also running on local. - Migrate These two models to AWS SAGEMAKER. Data will be on S3 -Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already. -You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system. -I will give you the data and access to AWS Ideal Skills and Experience: - Demonstrated experience in perfo...

I’m urgently seeking a capable statistician familiar with correlation analysis to support my PhD research. Although I haven't specified the variables to analyze, your ability to handle diverse statistical sets will be instrumental. Skills and Experience: - Expertise in statistical correlation analysis - Proven record of similar successful projects - Ability to work fast, the project is time-sensitive. Got the experience and got some time? Let’s talk!

...a specialized analysis and troubleshooting project. Phase 1: Data Collection and Processing The initial phase entails gathering crucial data from industry partners to construct finite element models in ANSYS. This includes acquiring PAUT corrosion mapping data, tank specifications such as geometry, material properties, loads, temperatures, and details regarding potential variability due to residual stress. Subsequently, the collected data will undergo processing using MATLAB to format it for seamless importation into ANSYS. this is objective of the project, its in different phases. i have done this part in MATAB but i need help with the writing of the methodology and detail explanation of results/ and discussion am struggling to write it Phase 2: Sh...

I require a well-crafted PowerPoint presentation for an educational...Specification: • Review of the attached study comparing Tenectaplase with alteplase for acute ischemic stroke Cover/summarize the intro, methods, results and discussion. Include which statistical analysis was used Dedicate 1-3 slide in the end to discuss common statistical regression models and how they work • Engaging yet informative slides. • Clear, precise and scientifically accurate information. Ideal Skills and Experience: The ideal candidate should have experience in crafting educational presentations, preferably in the Science industry. A solid understanding of Medical Research will give you a competitive edge. Familiarity with PowerPoint and its tools is...

I'm in need of a heatmap that visualises the correlation between coal power plants' locations and lung cancer rates in surrounding areas. Key components of the map: - Display of coal plant locations - Visualization of lung cancer rate data in relation to these locations - Use of color intensity to highlight areas with higher correlation I am ideally looking for a freelancer with a proficient understanding of data visualization, particularly with heatmaps. Experience in using demographic and geographic data would be beneficial. Knowledge in health sector data might also prove useful in understanding the context better.

...developer to retrieve and analyze specific financial indicators. Your role will encompass: - Code development using R to retrieve and implement financial data. - Deep understanding and familiarity with financial indicators, particularly with HPI (Housing Price Index), GDP (Gross Domestic Product), IR (Interest Rates), FDI (Foreign Direct Investment), CPI (Consumer Price Index) and REER (Real Effective Exchange Rate). - Advanced statistical analysis of retrieved data. - Delivery of comprehensible reports explaining the data analysis. - We need to extract the above mentioned data for India. The data will need to be processed, either on a quarterly or monthly basis. (Monthly is preferred). Run all the required tests on the data (autocorrelation, heteroskedasic...

I am seeking a specialist...validation, SQL database validation using JDBC, and Jenkins. You should be available to work within the US timezone CST (8 AM to 5 PM). Key Responsibilities: - Automation tasks including data, input, and field length validations - Form filling and regression testing - Filling the form with random data for testing Ideal Skills and Experience: - Proven experience in QA automation - Proficiency in Selenium, Core Java, and Jenkins - Strong knowledge of SQL database validation using JDBC - Excellent understanding of data validation principles in Excel - Adherence to the US timezone for work collaboration This role is perfect for those who are thrilled by the challenges and intricacies of QA automation with an emph...

...applications of various quantile regression methodologies for the analysis of wage and gender wage gap differentials based on previous studies. The review is to be done from latest to oldest, and thematically, with the main themes being: - Conditional Quantile Regression for wage or gender wage gap Analysis - Unconditional Quantile Regression (or Recentered Influence Function) for wage or gender wage gap analysis - Sample Selection Adjustment in both the conditional and unconditional quantile regression for wage or gender wage gap analysis - Comparison between the above methodologies - Quantile Regression-Based Decompositions, namely Machado-Mata Decomposition, Melly's Modification of Machado-Mata Decomposition, Oaxaca-Blinder...

...points of the job involve: - Managing multidimensional data: Experience with sorting and managing large datasets in Python is required. You should have proficiency in handling multidimensional data sets, ensuring the accuracy and consistency of data. - Implementing regression analysis: This is the specific statistical method we will be using in our research. The successful candidate will be skilled in running regression analysis in a Python environment, and in interpreting the output. Ideal candidates will have experience in academic research, specifically in Data Analysis. Also, having familiarity with the relevant field of study will be a plus. I expect the task to be completed with utmost precision and thoughtfulness. If you have these qua...

As a client, I'm seeking an experienced data analyst who is proficient in the use of SPSS software for statistical analysis. Key Tasks: - Execute Statistical analysis using SPSS Ideal Candidate: - Experience with SPSS is a must - Ability to perform statistical analysis - Good understanding and experience with regression analysis, time-series analysis, and hypothesis testing With your expert skills and knowledge, I'm assured our project will be a success. Looking forward to your bids.

...Studio for a data analysis and modeling assignment. This task involves creating algorithms using Linear Regression models. I already have my specific dataset for the project which is less than 10,000 records. Ideal Skills for the Job: Data Access and download the study dataset: This dataset is a survey of 2033 residents of Canada was conducted to determine the key factors associated with political engagement. A variety of variables were measured and recorded including some tests they were asked to complete. Below is the data dictionary for the data set. One group of respondents (“Treat”) were given additional education on political matters while the other (“Control”) were not. Assignment Tasks Your task will be to used multiple li...

...invoices and receipts. Key project specifications: - Implement machine learning algorithms to process and manage receipts and invoices - Be able to suggest possible ML algorithms (such as Neural networks, Decision trees, or Support vector machines) that might be best suited for this project Required skills and experience: - Proven experience in ML and AI - Familiarity with a broad range of ML algorithms - Strong portfolio demonstrating past work in similar projects While applying, keep in mind: - Detailed project proposals - Demonstration of past work - Qualifications and experience in the sector PROVIDE SAMPLES OF LIVE COMPLETED WORK THAT IS SIMILAR TO THIS PROJECT. Overview We require the development of an application that uses...

I'm in need of a skilled biostatistician who can efficiently carry out a full statistical analysis on my quantitative data project...analysis on my quantitative data project. Key Tasks: - Data analysis - Utilising statistical modeling - Tailoring a detailed study design based on outcomes Required Skills and Experience: - Expertise in statistical methods including descriptive statistics, inferential statistics, regression analysis, and Chi-Square test - Proficient in biostatistics - Strong understanding and interpretation of quantitative data The ideal freelancer should be able to provide a thorough analysis and report on the data to aid in the continued development of the project. They must possess an excellent command of statistical techniques...

For my project, I require the expert knowledge of an Econometrics professional who is adept at operating the STATA software. The primary task centers on the ...primary task centers on the analysis of cross-sectional data. This endeavor will necessitate the utilisation of descriptive statistics. It would favor the project greatly if the chosen freelancer has experience in executing similar tasks and possesses a firm understanding of hypothesis testing and regression analysis. Skills and Experience: - Proficient in Econometrics - Expert user of STATA - Strong experience in data analysis - Solid background in descriptive statistics - Familiarity with cross-sectional data analysis. A freelancer who exhibits these skills and has a history of efficient ...

Seeking an experienced manual testing expert to perform comprehensive testing on my application. This assi...testing expert to perform comprehensive testing on my application. This assignment involves: 1. Functional testing: Checking the application's functionality to maintain overall smooth operation. 2. Regression testing: Ensuring software changes don't disrupt existing functionalities. 3. User acceptance testing: Assessing the software's practicality and its user-friendliness. Scope of work would entail full application testing, and your role will also comprise creating detailed test cases. Ideal candidate should possess lustrous skills in formulating test cases, full application testing, and managing varying types of testing. Previous ex...

As a keen project owner, I am in need of a skillful Python coder ...project owner, I am in need of a skillful Python coder particularly talented in creating advanced graphics and performing linear regression. Key tasks: - Development of Python code for data manipulation and analysis - Creation of advanced, highly customised graphs - Execution of linear regression on numerical data Ideal candidate skills and experience: - Proficient in Python programming - Expert in data visualization and graph customization - Experience in handling numerical data - Strong understanding of statistical analysis and linear regression - Mathematical acumen The successful freelancer will be able to deliver to a high standard and show an ...

...undertaken includes: - Data Cleaning: Ensuring the data quality, eliminating any errors or redundancies. - Data Visualization: Creating intuitive charts and graphs to illustrate the data trends and patterns. - Statistical Analysis: Implementing statistical methods like Regression Analysis, Time Series Analysis, and Hypothesis Testing to interpret the data and draw conclusions. This demands a great deal of experience in Excel, data cleaning, statistical analysis, as well as in working with large datasets. A solid understanding of regression analysis, time series analysis, and hypothesis testing is strongly required. An efficient, meticulous, and detail-oriented approach towards data is key. Your ability to draw meaningful insigh...

...Specifications for our Mobile Money Solution Context Our aims to provide its subscribers with an innovative mobile money solution. This solution will enable users to perform various financial transactions and payment operations directly from their mobile phones. To carry out this project, we are looking for a competent technical provider to ensure the design, development, deployment and support of the Mobile money solution. Preliminary mockups of the solution are provided in the appendix to illustrate the functional expectations. 1. Objectives Develop and implement a complete, robust and secure mobile money solution allowing our customers to perform various financial operations via their mobile phones. 2. Functional Scope The functional scope of Mobile ...

I need an expert in SQL, Python, Tableau to undertake data analysis project on less than 1GB of categorical data. The main requirements of the job include: - Proficiency in Python, SQL, Jupyter, Spyder, and Tableau recommended - Strong background in data analysis, regression, and machine learning - Experience working with categorical data specifically - See for details The chosen freelancer should be able to analyze and interpret the data in a way that can drive actionable insights. While the data set is not overly large, accuracy and attention to detail are paramount. Previous experience working on similar projects is highly desirable.

...in econometrics and statistical regression modeling, particularly utilizing STATA software. The project involves a comprehensive analysis of employee wage data using quantile regression and decomposition techniques, both with sample selection adjustments. OBJECTIVE 1.) Determine the impact of various characteristics of workers on their wage in the Sectors (regular and casual separately) using the BEST sample selection adjustment technique along a conditional quantile regression model, and then decompose the gender wage gap (between males and females) with the same sample selection adjustment technique using Melly’s Machado-Mata decomposition for regular and casual separately. 2.) Determine the impact of various work...

...Carry out descriptive statistics - Conduct correlation analysis - Perform validity and reliability tests Specifically, I need the following tests to be utilized: - Chi-Square test - Cronbach’s statistic - Item-total correlation - Discriminant & Construct validity The ideal candidate should have solid experience in statistical analysis (no preferred Software), a strong understanding of the mentioned statistical tools, and an academic or marketing background to comprehend the intricacies of my research. Familiarity with surveys and questionnaire analysis will be a significant advantage. The report in MS-Word (15-20 pages) must include all above and is a stand-alone product that can be presented (tables, figures, plots) in a complete, ...

I'm currently working on my MBA project, and I'm looking for a statistician with a strong background in regression analysis and Excel. Here's an overview of what I'll need from you: - Perform a comprehensive regression analysis: I've chosen to focus my research on this area of statistics. - Use Excel for this project: I have decided to use Excel for this project due to its simplicity and because it's a tool I'm familiar with. - Complete the project as soon as possible: I'm running on a tight schedule, so time is of the essence. Required Skills: - Strong grasp of regression analysis - Proficiency in Excel - Ability to work under a tight deadline This project is quite urgent, so I'd appreciate a swift ...

...experienced data scientist or quantitative analyst with expertise in econometrics and financial modeling to conduct a comprehensive analysis of cryptocurrency market volatility. The analysis will focus on the log returns of four major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Litecoin (LTC), and Ripple (XRP). The objective is to employ a Markov-Switching GARCH (MSGARCH) model to investigate how the volatility of these cryptocurrencies responds to major market events under two distinct volatility regimes. Data Description: The analysis will be based on daily log returns for the following cryptocurrencies: Bitcoin (BTC) Ethereum (ETH) Litecoin (LTC) Ripple (XRP) The log returns data is already prepared and will be provided for analysis. Specific file paths t...

...experienced data scientist or quantitative analyst with expertise in econometrics and financial modeling to conduct a comprehensive analysis of cryptocurrency market volatility. The analysis will focus on the log returns of four major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Litecoin (LTC), and Ripple (XRP). The objective is to employ a Markov-Switching GARCH (MSGARCH) model to investigate how the volatility of these cryptocurrencies responds to major market events under two distinct volatility regimes. Data Description: The analysis will be based on daily log returns for the following cryptocurrencies: Bitcoin (BTC) Ethereum (ETH) Litecoin (LTC) Ripple (XRP) The log returns data is already prepared and will be provided for analysis. Specific file paths t...

I'm seeking a highly experienced tutor for advanced statistics, specifically within the realm of multivariate analysis and experimental design. While it is not mandatory, familiarity with structural equation modeling, multivariate regression and factor analysis would be highly beneficial. Tutoring sessions should be scheduled once per week. Ideal freelancers for this project would be those with: - Expertise in advanced, graduate-level statistical methods - Familiarity with several advanced statistical topics - Proven experience in tutoring or teaching statistics. I am halfway through this course and it will end on May 25th. I will also have 5 courses after this that are similar that I would need help with as well. Please submit your bid to include the...

...modeling, the application of Generative AI, and stress testing. It is structured into four main parts: Data-preprocessing: This section emphasizes understanding the impact of borrower income on credit risk, analyzing income trends over time by state, and identifying growth rates. The qualitative discussion on income's role sets the stage for quantitative analysis, including data description, time series plotting, and the integration of these insights into mortgage data. PD Modelling: Two models are developed to estimate the probability of default (PD) — a basic model using FICO scores and loan-to-value (LTV) ratios, and an enhanced model incorporating state-level income growth. This step involves calculating PDs, visualizing trends over ti...

I am in need of a statistics expert well-versed in SPSS for data analysis and chart creation. Here are the specifics: * You'll find survey results of likert scale in an Excel spreadsheet form. * Your main objective is to enter these data into SPSS for accurate data analysis. * Closely study the correlation between gender and response, as well as the diagnosis and response. * From your analysis, create bar charts to clearly present the findings. A solid knowledge of excel, SPSS, statistical analysis, and data interpretation skills would be crucial for this project. Experience in creating insightful bar charts is a must.

...involves implementing descriptive and inferential statistics on a database. Key responsibilities: -adjust the data from the database for the analysis - Apply descriptive statistics to both numeric and categorical variables - Perform inferential statistics on the data -Regression analysis, cluster analysis, T test - Prepare a clear report on findings providing both a JASP file and a word document with the exact explanation of the steps followed and the interpretation of all the findings, relevant or not according to the statistics The ideal candidate would possess strong analytical skills, experience in JASP and a deep understanding of both descriptive and inferential statistics. Your analytical rationale must be clear in the report. Ex...

...----------- Our startup has 2 products - a lead management and a chat-based CRM platform and we are looking for a part-time software tester to help us achieve our software quality goals. Part-Time Tester ------------------------------------------------------ We are looking for a software tester to assess software quality through manual and automated testing for both our products. You will be responsible for finding and reporting bugs and glitches for our development team to fix. The role will be entirely remote, giving you the flexibility of working from home. Candidate’s Experience ------------------------------------------------------ The candidate will need to have at least 1 year experience designing, developing and executing...

...----------- Our startup has 2 products - a lead management and a chat-based CRM platform and we are looking for a part-time software tester to help us achieve our software quality goals. Part-Time Tester ------------------------------------------------------ We are looking for a software tester to assess software quality through manual and automated testing for both our products. You will be responsible for finding and reporting bugs and glitches for our development team to fix. The role will be entirely remote, giving you the flexibility of working from home. Candidate’s Experience ------------------------------------------------------ The candidate will need to have at least 1 year experience designing, developing and executing...

logistic regression and T-test on the likert scale data

I'm seeking a data scientist proficient in statistical analysis and data visualization. Here's what I'm looking for: - Proficient in Python to leverage its functions for data analysis and visualization. - Capable of performing regression and clustering analysis methods. - Strong understanding of data visualization techniques to interpret and present data findings. The freelancer must critically approach the data, apply the most appropriate statistical analysis techniques and translate the results into a comprehensive visualization. With the use of Python, the analysis should be efficient and the visualization informative and engaging. Prior experience in data science projects is crucial. The whole thing entails of 7 ...

I have a series of 11 Data Science assignments that I need some assistance with. The tasks revolve around: 1. Data cleaning and preprocessing 2. Exploratory data analysis 3. Application of machine learning algorithms The assignments will delve into different topics that include Regression analysis, Classification, and Time series analysis. I need these tasks completed within a month. An ideal candidate should have a strong foundation in these areas and able to provide top-quality solutions with efficiency. If you have a knack for data science and experience in handling similar projects, I'd love to hear from you.

I'm in need of a machine learning expert to develop a model aimed at predictive analysis. Here are the specific requirements: - Experience with handling structured data, particularly CSV and Excel files. This is the kind of data that will be provided for training. - The model needs to make predictions that will be delivered in a CSV file format. - The scientist should have a solid background in predictive analysis. This is the key objective of the model. The ideal freelancer would be someone who has a deep understanding of machine learning, particularly when it comes to working with structured data and predictive analysis.

In this project, I am looking for an experienced Python prog...experienced Python programmer with solid grounding in applied statistics. The chosen candidate will be tasked with the application of advanced statistical computations and data visualization techniques. Key Tasks: - Apply descriptive, inferential statistics, and regression analysis concepts. - Undertake data visualization of the numerical data provided. Ideal Skills: - Knowledge of Python and statistical software. - Proficiency in performing applied statistics, specifically data visualization. - Understanding of numerical data handling and data processing techniques. Please ensure you have relevant python programming and applied statistics qualifications before applying. Expertise ...

I'd like an analyst that can analyze a large set of data with very rare events, basically a logistic regression using the Firth penalization method. Promptness is needed.