Statistics lessons in Valladolid

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1 statistics teacher in Valladolid

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Jerome - Paris, France127€
Trusted teacher: Professor and doctor of psychology and cognitive neuroscience graduated from the University of Strasbourg (holder of a master 2 research in Biology and a master 2 professional in science communication), I offer private lessons in psychology (cognitive, social, developmental psychology, neuropsychology, etc.), neuroscience as well as statistics (theoretical and applied to experimental protocols) with a personalized methodology according to the needs and potentialities of each student. Thanks to a rigorous teaching approach, specific and adapted to each request, I propose an effective methodological aid (available references) allowing to answer to the waitings of the students and to reach or even exceed the fixed objectives. My classes also integrate a coaching method to optimize the learning and training necessary to pass university exams in psychology, neuroscience and statistics (as well as your oral exams with or without powerpoint support). My courses are aimed at university students, engineering schools, BTS wishing to optimize their performance and exam and exam scores (courses in psychology, neuroscience, medicine, etc.). I receive a lot of requests from students from Paris 8 University (IED or not), University Paris 5 and Nanterre because I know very well the program and the expectations of the jury for the research paper. Schools, Universities and teaching institutes offered: ESSEC Business School, Universities of Strasbourg and Paris 8, ISTH, IONIS Education Group, EEEA, Acadomia etc.
Cognitive psychology · Database · 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
Statistics · Math · Mechanical engineering
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Research Methods Statistics and Analytics-Thesis Assistance (BS MS and Phd level)- Qualitative and Quantitative research methods-SPSS STATA
Jad
Jad provided exceptional help and gave great recommendations on how the overall paper could be improved. The sessions were not only value adding to construct the paper optimally but also to gain insight as to how researchers work in real life. I really enjoyed the sessions as Jad was a very knowledgable and patient tutor who was always giving his best to help out (also given the time constraints and tight schedule that I was facing). Thank you again so much for everything!!
Review by INGA
Mathematics tutoring from secondary school up to Master by French Master (Borsbeek)
Han
Han is very professional and friendly. He does a fantastic job at preparing lessons and support that is tailored perfectly to the student. He goes over and above to ensure that students receive quality support that is appropriate for their level and that provides a framework for their exam success. I would definitely recommend taking Han's classes!
Review by JORDAN
🚀 UNLEASH THE GENIUS WITHIN | British Maths Tutor (Barcelona)
Oliver
Oliver is such an excellent math tutor. Both my kids (8 and 12 years old) are enjoying their weekly math lessons with him. He makes learning fun and easy …. Oliver even gave my son a rubik cube as a present!. I would definitely recommend him to anyone who is struggling with math!
Review by VICTORIA