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Discover the Best Private Statistics lessons in Hindley

For over a decade, our private Statistics tutors have been helping learners improve and realise their ambitions. With one-to-one lessons at your home or in Hindley, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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Trusted teacher: Hello, Data scientist (statistician), I offer my help for the realization of statistical studies and the understanding of statistical methods. - make graphics, - analyze the links between the variables (several qualitative and/or quantitative variables), - compare groups of individuals, - produce all types of graphs and elaborate tables, - carry out modeling: regressions, ACP, ACM, ANOVA, FAMD, survival curves ..., - carry out tests: Student, Wilcoxon, Chi2, Fisher..., - categorize individuals (create groups of individuals according to their profile)... Quantitative and qualitative data, time series, surveys and polls... Regarding the renderings, I can make any type of graph and table, the illustrations in the ad have been cut for confidentiality reasons. I also send a document with the methodology used and the explanations for the choice of each test used. For example, you can send me a model table or graph and I can reproduce it with your data. Passionate, I have been helping people in carrying out statistical studies for 3 years (more than 100 theses, dissertations and articles produced), mainly doctors, people in thesis or resuming studies who do not have enough time to carry out the analyzes or very little knowledge of statistics. I have experience in all fields but most often I am asked to work in the fields of health and education. I have also been teaching mathematics and statistics for almost 6 years. Having a powerful computer I can perform tests and modeling on very large databases. I can carry out the studies very quickly, depending on the volume of the analyses, this can be carried out in 3 days. I code everything in R: graphs and analyses. The work carried out is returned in Excel and/or Word format and the graphics in PNG format. How do I operate? : payment is made according to the estimate: I estimate the time needed and you pay in advance or you pay by group of hours. For example: if I receive a payment for 3 hours, I send what I did after 3 hours and if I have to continue I wait to receive the next payment. Don't hesitate to ask me your questions and suggest your projects. I can sign a document to certify that your data will remain confidential if you wish, but I do not disclose it even if there is no signed document. For companies, I work with quotes and I can make invoices (self-employed status). The time taken to get to grips with the subject and discussion during the interview is counted and payment will be requested prior to any action on my part. See you soon
Math · Statistics
Dr. Keivan is a McGill University graduate with the following degrees: Master of Mechanical Engineering (McGill) Bachelor of Mechanical Engineering (McGill) Doctor of Medicine M.D (Iran) Dr. Keivan has more than 15 years’ experience in teaching many MATH, ENGR, and MECH courses for University students. He has been teaching assistant for many courses at Concordia University and McGill University in Montreal, with excellent course evaluation by students. The most featured courses are undergraduate and graduate mechanical engineering courses, and probability and statistics. Both in person and online classes are offered. For more information, you can contact Dr. Keivan at (514)4762075 Concordia Courses: COMM 215: Business Statistics COMP 233: Probability & Statistics ECON 325: Mathematics for Economists I ECON 326: Mathematics for Economists II ELEC 275: Principles of Electrical Engineering ENGR 213: Applied Ordinary Differential Equations ENGR 233: Applied Advanced Calculus ENGR 242: Statics ENGR 243: Dynamics ENGR 244: Mechanics of Material ENGR 251: Thermodynamics I ENGR 264: Signals and Systems I ENGR 273: Basic Circuit Analysis ENGR 301: Management Principals and Economics ENGR 311: Calculus and Partial Differential Equations ENGR 351: Thermodynamics II ENGR 361: Fluid Mechanics I ENGR 371: Probability and Statistics ENGR 391: Numerical Methods INDU 371: Random Processes INTE 296: Discover Statistics MATH 201: Elementary Functions MATH 202: College Algebra MATH 203: Differential and Integral Calculus I MATH 204: Vectors and Matrices MATH 205: Differential and Integral Calculus II MATH 206: Algebra and Functions MATH 208: Fundamental Mathematics I MATH 209: Fundamental Mathematics II MATH 251: Linear Algebra I MATH 252: Linear Algebra II MATH 264: Advanced Calculus I MATH 265: Advanced Calculus II MECH 211: Mechanical Engineering Drawing MECH 215: Programming for Mechanical and Industrial MECH 221: Material Science MECH 313: Machine Drawing and Design MECH 361: Fluid Mechanics II MECH 368: Electronics for Mechanical Engineers MECH 370: Modeling and Analysis of Dynamic Systems MECH 371: Fundamentals of Control Systems MECH 375: Mechanical Vibrations MECH 6121: Aerodynamics PHYS 204: Mechanics PHYS 205: Electricity and Magnetism PHYS 206: Waves and Optics PSYC 315: Statistical Analysis I PSYC 316: Statistical Analysis II SOCI 212: Statistics I SOCI 213: Statistics II STAT 249: Probability I STAT 250: Statistics STAT 360: Linear Models McGill Courses: CIVE 205: Statics CIVE 206: Dynamics CIVE 207: Solid Mechanics CIVE 290: Thermodynamics and Heat Transfer CIVE 302: Probabilistic Systems CIVE 320: Numerical Methods CIVE 327: Fluid Mechanics and Hydraulics ECON 208: Microeconomics Analysis and Applications ECON 227: Economic Statistics MATH 112: Fundamentals of Mathematics MATH 122: Calculus for Management MATH 123: Linear Algebra and Probability MATH 133: Linear Algebra and Geometry MATH 139: Calculus I with Pre-calculus MATH 140: Calculus I MATH 141: Calculus II MATH 150: Calculus A MATH 203: Principles of Statistics I MATH 204: Principles of Statistics II MATH 222: Calculus III MATH 223: Linear Algebra MATH 262: Intermediate Calculus MATH 263: Ordinary Differential Equations for Engineers MATH 270: Applied Linear Algebra MATH 271: Linear Algebra and Partial Differential Equations MATH 315: Ordinary Differential Equations MATH 316: Complex Variables MATH 323: Probability MATH 324: Statistics MATH 329: Theory of Interest MECH 210 Mechanics I MECH 220 Mechanics II MECH 240 Thermodynamics I MECH 289 Design Graphics MECH 290: Design Graphic for Mechanical Engineers MECH 309: Numerical Methods in Mechanical Engineering MECH 314: Dynamics of Mechanisms MECH 315: Mechanics III MECH 361: Fluid Mechanics I MECH 341: Thermodynamics II MECH 346: Heat Transfer MECH 383: Applied Electronics and Instrumentation MECH 393: Machine Element Design MECH 412: System Dynamics and Control MECH 419: Advanced Mechanics of Systems MECH 430: Fluid Mechanics II MECH 513: Control Systems MECH 533: Subsonic Aerodynamics MECH 542: Spacecraft Dynamics MECH 562: Advanced Fluid Mechanics MECH 605: Applied Math I MECH 642: Advanced Dynamics MGCR 271: Business Statistics MGSC 372: Advanced Business Statistics PHYS 101: Introductory Physics – Mechanics PHYS 102: Introductory Physics – Electromagnetism PHYS 131: Mechanics and Waves PHYS 142: Electromagnetism and Optics PSYC 204: Introduction to Psychological Statistics PSYC 305: Statistics for Experimental Design
Mechanical engineering · Math · Statistics
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Our students from Hindley evaluate their Statistics teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 35 reviews.

Physics and Mathematics: private lessons for Secondary/High School and University Students (Munich)
Lolian
I'm a first year Informatics student, and Iv'e had around 20 hours of online math lessons with Lolian in the past few weeks. I can only recommend for anyone who needs help to choose Lolian's tutoring. He always makes sure that you completely understand and follow his explanations, very professional but also careful, and tries to be always available considering both side's schedule. Thank you so much!
Review by LIRI
Make statistics fun and easy to learn. Let's get you through that statistics exam :)
Susanne
I had the privilege of being taught statistics by Susanne, and it was really great. She was not only nice and easy to talk to but also really good at teaching. Susanne knew a lot about the subject, and she always made sure I understood everything. I highly recommend Susanne to anyone who wants to learn statistics from a really good teacher.
Review by ADRIANNA
Mathematics, Economics (microeconomics, macroeconomics), Statistics, Probabilities (Copenhagen)
Constance
My daughter likes Consance very much. She is always on time and explains the problems so my daughter understands. My daughter feels it has made a difference with her math practice..
Review by EVA-LOTTA STRANDH