If you are planning to go to a b-school abroad in the near future, the first step to that plan is preparing for GMAT. A high score these test can help you to get into the b-school of your choice. In order to boost your GMAT prep in easier and cost-friendly manner, we bring you a list of apps and online courses that you can take-up in order to ace the tests. Read to know more!
- IFTTT - Send yourself a weekly vocabulary list of Wikipedia words of the day: Every day you can learn 7 new words. All you need is an IFTTT and a Pocket account (both free).
- ESL Exercises: Test your vocabulary skills by taking a series of online structured quizzes.
- Visual thesaurus: Understand what words mean, and why. Visualize the origin of words and their interconnections.
- Dictionary.com Flashcards: When you are on the go, use this flashcard app to learn new words.
- Spritz: Increase your reading speed. Spritz is one of its kind speed-reading websites/app that can actually help test-takers.
- BBC - Learning English: A great resource to know and understand the various nuances of the English language.
- TenADay: Solve 10 questions every day from the CAT curriculum. Level up, slowly but steadily
Online Courses For Specialisation:
- Basics of supply chain management (SCM)
- Basics of Marketing
- Basics of Operations
- Basics of digital marketing
- Financial markets: This course is taught by the renowned Nobel-laureate and Yale Prof. Robert Shiller and covers various concepts of Financial markets and their machinations. Apart from the basics, it also covers other aspects of behavioural finance, financial crises and the role of regulations.
- Microeconomics: This course covers the basics of Microeconomics from supply-demand, market efficiency, types of competitions, market power, public goods and externalities.
- Introduction to finance: It will teach you the basics of the time value of money and valuations.
- Regression models: The course looks at the various regression models and special cases like ANOVA. All of which is taught in the 1st year.
- Data analysis and statistical inference: Estimation, confidence intervals, decision making based on data analysis etc.
- Data visualization: Will be helpful both during and after the MBA. How to present the data in the most impactful manner, use software to make complex designs etc.