University Level
In today's world, students find it difficult to form a link between subjects taught at university such as Econometrics, Mathematics and Statistics and their application in real-life. Our tutors are skilled at assisting students in interpreting results derived from quantitative methods and applying it to theory, thereby helping in their understanding of the strength of modern Statistical procedures. By imparting more than only the factual information, we help students form a real understanding which can be linked to daily lives. We believe in showing how some of the most complicated quantitative processes can be reduced to a few basic principles. Our teaching methods enable our students to engage with theories that expand their understanding of principles related to economics.
We look into helping our students in realising their full potential by employing targeted revision and exam techniques based on improving results. University students today lack the confidence in achieving their goals. Here at Colour Learning, we feel it is essential to inspire and motivate students to grasp the knowledge and skills underlying their success. With students facing immense pressure in the UK job market in terms of finding work after graduating, we believe in investing utmost effort in ensuring that we provide students with the necessary guidance aimed at achieving their academic as well as career-oriented goals For students wishing to convert their foundation degrees to move onto university, we inculcate in them strategies for independent learning and enhance their study skills.
We help students studying Economics (Microeconomics and Macroeconomics), Mathematics, Statistics and Econometrics at Degree Level. Our students are from different universities across the UK including but not limited to:
- University of Cambridge
- University of Oxford
- London School of Economics and Political Science
- University of Bristol
- University of Durham
- Imperial College London
- University College London
- University of Warwick
- University of Loughborough
- University of Edinburgh
- University of Bath
- University of Nottingham
- King's College London
- University of Manchester
- University of York
- University of Cardiff
- University of Exeter
- University of Essex
- Queen Mary, University of London
- Royal Holloway, University of London
- University of Westminster
- London Metropolitan University
- University of Sheffield
- University of Reading
- Regents Business School
- CASS Business School
The biggest challenge undergraduates face while studying econometrics is to simply find interest in the subject. For many economics majors, econometrics is the course they least enjoy. Students come to economics expecting to find social science courses that describe human behaviour, such as how markets work, the functioning of the macroeconomy, the role that is played by the government in the economy, international trade, and a host of other subjects that they categorize as falling under economics. They find these things in their introductory course, and again in intermediate-level courses. When they get to econometrics, however, they find themselves immersed in density functions, covariances, and sums of squared errors to be minimized. When not dealing with purely abstract statistical matter, they deal with coins being flipped, dice being rolled, and other simple examples seemingly unrelated to economics. Many are inclined to think, not unreasonably, that if they had wanted to study such material, they would have majored in statistics or mathematics, not in economics. They question the purpose of dealing with all these numbers and variables and equations and how it helps them to understand economics. The secret to engaging students in econometric analysis is to provide them with answers to this question, early and often. We emphasize on bridging gaps, seeing the material as our students see it, and presenting it in a way that will help them approach it and understand its relevance to the subjects of their own interest.
By the time students get to an econometrics course, instructors often assume, wrongfully, that knowledge of trade-offs between Type I and Type II errors is fully understood and appreciated. We focus on the basic tool for econometrics, which is the linear regression model. In this way, one can seek to draw best-ï¬ÂÂt lines through a scatterplot.
Our techniques are based around The Gauss-Markov Theorem and Monte-Carlo experiments. We enable students to better understand the causes, consequences and correction methods relating to Misspecification, Heteroskedasticity, Multicollinearity, Autocorrrelation, Maximum Likelihood Estimators which are all essential in terms of finding estimators which have desirable statistical properties such as unbiasedness, efficiency and consistency. We also explain the use of different tests, some of which include the T-test, F-test, Chow Test, Ramsey test, Durbin Watson Test, Goldfeld Quandt test and the White Test.
With the use of quantitative methods, our teachers incorporate into their teaching, both the theoretical and practical aspects of applying statistical methods to economic data for the purpose of testing economic theories and of forecasting and controlling the future path of economic variables.
A sound knowledge of mathematics and statistics is important in most areas of science, economics and medicine and engineering. Mathematics and statistics are also the two cornerstones for decision-making and various quantitative activities in commerce, industry, education and defence. Most companies and organisations have concluded that success is critically dependent on the level of analytical, quantitative and statistical skills of their workforce and they therefore seek employees with a sound mathematical training.
We engage students in applications that establish the importance of mathematics and statistics for use in real situations, where we focus on enabling students to connect statistical techniques to economic problems
Mathematics:
Our aim is to equip students with a thorough overview of modern mathematics while placing emphasis on the skills for mathematical reasoning. Students not only enhance their learning but also develop strong presentation and numeracy skills that can later be beneficial for them in practical applications.
We help students in attaining a full grasp of the foundations of calculus which covers operations such as integration and differentiation, single and multivariable optimization, constrained optimization, functions of many variables, systems of linear equations, differential equations and techniques such as algebraic manipulation, functions and simultaneous equations.
Statistics:
Statistical analysis is a critical tool in many fields, and as such, it is taught in courses across many disciplines.
We help students in their understanding of using statistical and mathematical methods in order to describe economic systems.
There are often different ways to solve a statistical problem. We assist students in learning how to communicate using the statistical language, solving statistical problems, drawing conclusions using techniques such as hypothesis testing and supporting conclusions by explaining the reasoning behind them.
We aim to begin with the mastery of descriptive statistics such as histograms, skewed distributions, distribution moments including mean, median and mode and further on to measures of spread such as range, variance and standard deviation. With these fundamentals in place, we concentrate on the importance of using probability, sampling distribution of an estimator, normal distribution, hypothesis testing, T and F distributions along with Chi-squared distributions, sampling and estimation, simple regreesion, regression to the mean and the least squares estimator. This enables students to understand statistical ideas and thereby build on their ability to apply that to real-world situations in terms of problem solving and decision making skills.
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Please email info@colourlearning.co.uk for further information or if you would like to discuss our rates and teacher availability for Economics lessons.
• BSc Economics and Management (London School Of Economics- 2011)
• A-Levels (4As at A2 in Mathematics, Economics, Sociology, English)
• GCSE (9As)
My students are from top universities- some of which include the University of Cambridge, LSE, Royal Holloway, University College London, University of Bristol, Regents Business School, University of Edinburgh, King’s College London, University of Warwick, University of Bath, University of Manchester, CAS Business School and the University of Westminster.
I also mentor students facing difficulties in terms of selecting modules and guide them during exam preparations. I also tutor students studying foundation degrees in order to assist them in achieving the grades required for universities they aspire to join.
I will put my heart and soul into helping you to improve your academic abilities along with your commitment to learn.