Master the SAT Probability problems – Kim Chen

 209,99

Learn poweful strategies to crack any SAT Probability problem. Master the SAT maths section

Description

Master the SAT Probability problems

Learn poweful strategies to crack any SAT Probability problem. Master the SAT maths section

What you’ll learn

  • Once you master the techniques i teach in this course, you’ll be able to solve SAT Probability problems easily and rapidly
  • Fundamentals and advanced techniques a successful test taker uses to solve any SAT Probability problem
  • By the end of this course you will learn to solve any SAT Probability question
  • 100% Satisfaction : This course has a 30 days money-back guarantee

Requirements

  • This course does not have any prerequisites, however it’s beneficial if students are familiar with very basic maths rules

Description

Probability is one the most important parts of the SAT Quantitative section. This part is very difficult and many students struggle with it.

In this course I will teach you step-by-step how to overcome the SAT Probability Questions.

No, i will not show you how to solve 1000 Official guide Questions because i believe it is useless to solve hundreds of questions without having a good strategy.

In this course i will give you the best strategy to tackle any Probability question and i will show you how to apply this strategy to more than 50 different practice questions. Once you finish this course you’ll be able to solve any Probability question that encounters you in the SAT.

I am Anis, an SAT Quant expert, i took the SAT 4 years ago, and i scored 98th percentile on the SAT quant section (Q51), and since then i have helped hundreds of students to enhance their score in this section and i will help you do the same

In this course i will show you the best strategy to adopt in order to solve any SAT Probability problem.

First i will introduce you to combinations, arrangements and permutations. Then we’ll see together more than 50 SAT questions of different level of difficulty and i will show you step-by-step how to solve them in the simplest way possible.

Once you master the methods i teach in this course, you’ll be able starting of tonight, to not only solve any SAT Probability problem but also you’ll be able to solve them quickly and this will help you save a lot of time during the test.

This SAT course has a 30 days money back guarantee, so i you feel for any reason that this course doesn’t suit you, you can ask for a refund very easily.

See you in a few minutes, we are gonna best the SAT together.

Who this course is for:

  • Anyone who wants to master SAT Data Sufficiency section
  • Anyone who wants to master the SAT Quantitative part
  • Anyone who wants to master the SAT Maths part

STUDENT FEEDBACK AND REVIEWS

Zain Zahoor: well any body interestred in learning fast the concepts of probability should take this course. however,it is designed for beginners.
Ley GH: Best SAT course ever. It helped me a lot to understand probability fundamentals easily. I like the way Anis explains this course.
Rihab Seb: As always Anis addresses difficult complicated subjects in an easy and super simple way! Probability is always a tricky part of any Math test! I am extremely happy Anis did this course… Now I feel much confident of my knowledge and I guess I am well prepared to my test ! Thanks to Anis! Highly recommended ! Don’t miss it!

For reaching more review, you can click to this link.

ABOUT INSTRUCTOR

Anis MURR

PhD & GMAT/GRE/SAT Quant Expert 98th percentile

Hello, I am Anis, a GMAT/GRE/SAT Quant expert, i took the GMAT 5 years ago, and i scored a Q51 (98th percentile) on the Quant section, and since then i have helped hundreds of students enhance their score in this section.

I founded in 2015, A GMAT/GRE/SAT test prep company in Paris. I hold an masters in engineering and a PhD from one of the most prestigious French “Grande Ecole”.

ABOUT UDEMY

This course is a Udemy course. We created a page that included frequently asked questions we receive about Udemy. For going on the page, please click here.

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