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Statistics Jobs

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Fixed-Price - Est. Budget: $ 100 Posted
I'm looking for a predictive model for individual player performance in basketball. Attached you will find a dataset consisting of player performance (minutes, points, field goals, three pointers, free throws, rebounds, steals, blocks) on the player-game level for several years of a particular league. The data also includes the date of the game, home/away, opponent, and the player's position. For a high-quality, successful analysis, I am flexible as to the budget. You must be able to explain your methods and provide Python code to implement them. The purpose of the project is to predict the column pts1 which for each player-game satisfies the equation pts1 = 3*tpm + 2*fgm + ftm + 1.2*reb + 1.5*ass + 2*blk + 2*stl - to. where tpm = three pointers made fgm = field goals made ftm = free throws made reb = rebounds ass = assists blk = blocks stl = steals to = turnovers The goal is to predict a player's pts1 in the next game so you can only use data available prior to that...

Fixed-Price - Est. Budget: $ 200 Posted
This is a final thesis paper for capstone course. I am going for a Master's in Aeronautical Science with a specialization in Aeronautics. I have several program outcomes which need to be covered in the paper and thus, will guide the content of the paper. I am doing the individual project. The only Program Outcomes that I am responsible for are Program outcomes 1-5. Since this is I will attach the instructions for the paper. Some written instruction given to me from my instructor: Of importance is the coverage of all the PO subtopics. Your Capstone Individual Project is an academic type research document so PO2 and PO4 are very important. In an overview perspective, this paper is really just a problem solving process in an academic format: 1.) State the problem; 2.) State the hypotheses; 3.) Identify the Data from the literature, best not to plan on doing your own survey. It is important to have substantial data for a p=.05 significance factor); 4.) State the statistical process you’ll use...

Fixed-Price - Est. Budget: $ 1,000 Posted
We are looking for "Real" Data Scientist a) with experience working on complex customer experience problems (product recommendations, click through rate analysis, targeting, personalisation, customer segmentation, churn analysis, Customer loyalty etc.) b) on customer data (customer behaviour, demographics, geography, purchase, social media etc.) c) fulfilling marketing expectations (campaigning, branding, research etc.) d) applying machine learning models on Python/ Scala/ R e) visualising on data visualisation platforms. You should apply if and only if you meet ALL from (a) to (e) above. This is a long term position. Recommend friends.

Fixed-Price - Est. Budget: $ 30 Posted
Required skills for this job are as followed (and important): - Good knowledge of the NFL (American Football). - Experience and knowledge analyzing statistics, simulations and sample sizes, and the future expectations in relation to the sample sizes collected. - Understanding of the relationship between different statistics and trends. - Experience with probability and the capability to tell me the expectations I can have for future results based on the simulations of prior games and results. Also there will be a need for a lot of regular communication, ideally on Skype but other methods such as text, email etc are also options. Reason being what the different statistics represent will most likely require explanations. English speakers preferable.