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Statistics lessons in London

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35 statistics teachers in London

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35 statistics teachers in London

Trusted teacher: SERVICES I can offer my assistance with Statistics, Mathematics, Econometrics and Data Analysis/Science and other Business-related subjects (with coding and programming if you are interested in it). I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex scientific concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand statistics, mathematics and econometrics (linear regression, forecast modelling, statistical modelling, advanced statistical modelling, AP statistics, quantitative methods, analysis, linear equations, inequalities, quadratic functions, sequences, vectors, geometry, trigonometry, logarithms, differentiation, integration, linear algebra, matrix transformations and so on) as well as introducing you to the fast-growing field of Data Analysis and Data Science. - Mathematics - Statistics - Probability - Linear Regression - Statistical Modelling - AP Statistics - Linear Algebra - Arithmetic - Game Theory - Analysis - Calculus - Geometry - Trigonometry - Data Analysis/Science - Modelling - Forecasting model - Time Series Analysis - Inequalities - Matrices and Vectors - Quantitative Methods EXPERIENCE AND EDUCATION -- PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction - Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally - Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting - Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations - Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance - Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel. - I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment. - I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths. - I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner. KEYWORDS Mathematics | Statistics | Statistics | Data Analysis | Programming | Python | Pandas | Excel | Powerpoint | Matlab | SQL | Assignment | Project | Thesis | Dissertation | Presentation | Essay | Paper | Research Proposal | Case Study | Research Paper | GREETINGS My goal is also to inspire further study that will lead to an interesting and successful career. If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message and I'd be happy to give you an informal consultation. Feel free to contact me. Thank you for looking at my profile and hope to hear from you soon, Andrea
Statistics · Math · Tutoring
Trusted teacher: Are you looking for a knowledgeable and experienced tutor to help you excel in mathematics, economics, and statistics? Look no further! I am a dedicated tutor offering comprehensive tutoring services in these subjects through Apprentus. As a Mathematics, Economics, and Statistics Tutor, I provide personalized instruction to students of all levels, from high school to college. Whether you need assistance with mathematical concepts, economic principles, statistical analysis, or any related topic, I am here to guide you towards a deeper understanding and improved academic performance. My teaching approach is tailored to meet the individual needs and learning styles of each student. I am patient, friendly, and passionate about these subjects, and I strive to create a supportive and engaging learning environment. I break down complex topics into manageable parts, ensuring that students grasp the fundamentals before moving on to more advanced concepts. Here are the key aspects of my tutoring services in mathematics, economics, and statistics: 1. Comprehensive Subject Coverage: I cover a wide range of topics in mathematics, economics, and statistics, including algebra, calculus, microeconomics, macroeconomics, econometrics, probability, hypothesis testing, data analysis, and more. I can assist with homework assignments, exam preparation, and concept reinforcement. 2. Conceptual Understanding: I focus on building a strong foundation by explaining key concepts in a clear and accessible manner. I help students understand the underlying principles and connections between different topics, fostering a deeper comprehension of the subject matter. 3. Problem Solving and Application: I guide students through problem-solving techniques and real-world applications of mathematics, economics, and statistics. I provide step-by-step explanations, encouraging critical thinking and analytical skills development. 4. Data Analysis and Interpretation: In statistics and economics, I assist students in analyzing and interpreting data using appropriate statistical methods and economic models. I can help with statistical software such as Excel, SPSS, or R for data analysis. 5. Homework and Exam Preparation: I assist students in completing their assignments, projects, and preparing for tests and exams. I provide practice problems, review sessions, and exam strategies to enhance their performance. 6. Customized Approach: I adapt my teaching methods to suit each student's unique learning style and pace. I identify areas of weakness and provide targeted instruction to address specific challenges. If you are ready to enhance your understanding and excel in mathematics, economics, and statistics, don't hesitate to contact me today to schedule a tutoring session. Together, we will work towards your academic success and help you achieve your goals in these subjects.
Math · Statistics · Economics for students
English · Math · Statistics
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
Trusted teacher: I have a degree in Statistics and have more than 10 years of experience as a teacher. I have experience in Civil Aviation, Banking, Technology and the Education Sector. I have worked on Statistical Information Systems implementation projects. What can I teach you? Consulting in data analysis and processing for assignments, theses, academic tests, exams, and homework. Topics: *Descriptive statistics: Mean, Mode, Variance, Standard Deviation, Statistical Graphs *Probabilities: Probability calculation, Continuous and discrete probability distributions (Normal, Binomial, Poisson, Gamma, Uniform, etc.) *Inferential statistics: Point estimates and confidence intervals, Hypothesis testing *Database management: SQL *Data analysis *Linear and non-linear models *Supervised and unsupervised learning (Machine Learning): Logistic regression, Kmeans, Clustering, Neural Networks, Decision trees) *Data mining *Text mining *Sampling: Selection of samples *Design of experiments What programs do I use? *R *Python *SPSS *Minitab *Orange *RapidMiner *SQL *Power BI *Canva Where do I teach my classes? Online classes via Zoom Online classes via Teams Online classes via Google Meets Languages in which I can give you classes: *Spanish *English *Portuguese My methodology: *Practical, simple and easy to learn classes. *I adapt my classes to the student's learning style, the guides and materials available to the student. *I use digital whiteboards to teach my classes. *Interactive classes. *Theoretical and practical classes. *Management of subject content, extensive experience in exams. *I can give you tips on the topics and problem solving. In addition to statistics, I can also help you with: *Mathematics and Calculus (Derivatives, Integrals, Limit Calculations, etc.) *Econometrics *Macroeconomy *Microeconomics *Algebra *Operations research *Linear programming *English *Document translation
Statistics · Math
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 20 reviews.

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
Analyzing data and statistics with Python, R, and SPSS (Amsterdam)
Mehdi
Very professional, on time, knows what he is doing and knows the material. Very polite as well. I will keep taking his lessons.
Review by MAXIMOS