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Fundamentals of Data Analysis - The Basics

Posted By: Sigha
Fundamentals of Data Analysis - The Basics

Fundamentals of Data Analysis - The Basics
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 102 MB
Genre: eLearning Video | Duration: 12 lectures (1 h 7 m) | Language: English

Data analysis, statistics, and probability that are covered on many standardized exams such SAT or GMAT & GRE.

What you'll learn

Interpreting Graphs & Charts
Inductive Reasoning
Deductive Reasoning
Sets & Subsets
Probability
Mean, Median, Mode & Range

Requirements

Desire to improve your data interpretation & analysis performance in class, in exam, in life!

Description

Looking for help to prepare for Data Analysis?

As you know, many questions on the standardized tests will test your ability to analyze data.

Interpreting data in math section may come in many forms: charts, graphs, tables, or extrapolating information from a reading passage.

Data Interpretation and analysis tests are used to determine your ability to extract the correct data from these graphs and charts. The data extracted has to be manipulated mathematically to find the correct answer. The types of questions may be Multiple-choice or Numeric Entry and has to be answered only on the basis of the data presented and your knowledge of mathematics.

Why is this important? Maybe you've heard that “a picture is worth a thousand words“… Well, a graph is worth even more. In our digital world, graphs and charts are essential for keeping track of all the sheer amount of information. So, test administrators would like to see how you can interpret and analyze such data.

However, if you're not a techy math person, don't worry. In this course you'll learn all of the concepts, techniques and strategies needed to answer Data Analysis & Interpretation questions required for the GRE, GMAT, SAT or ACT math tests.

Don't hesitate to get started now.

Who this course is for:

Undergrad & Postgrad Students Preparing for the SAT, ACT, GRE, GMAT, IELTS, TOEFL

Fundamentals of Data Analysis - The Basics


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