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Data Science & Machine Learning
The Intelligence and Critical Reasoning section of the MAT is designed to test candidates’ problem-solving skills, analytical skills, and ability to make logical conclusions. The section covers topics such as puzzles, coding-decoding, verbal reasoning, series, and analogies.
Our guidance involves familiarizing key concepts, practising questions, conducting mock-tests, and sharing resources.
The MAT covers a wide range of topics, including arithmetic, algebra, geometry, trigonometry, mensuration, and similar concepts in its mathematical skills section. It assesses every candidate’s ability to solve quantitative problems and understand data analysis.
At Dainey, we focus on enhancing both accuracy and speed—crucial skills for mastering this section.
Language plays a remarkable role in professional growth. This makes it a critical criterion for evaluating future professionals. The MAT focuses on understanding and application of English language skills through this section. It includes vocabulary, passages, grammar, and sentence structure questions.
We believe that technical expertise with good communication skills is the perfect formula to success.
The Data Analysis and Sufficiency section in the MAT assesses candidates’ ability to interpret data presented in various forms like charts, graphs, and caselets, and determine the sufficiency of information to answer questions. It expects strong interpretive, and comparative skills in candidates.
Working on a variety of data, visual representations, case studies, and time-saving techniques are emphasized at Dainey.