Math Skills for Data Science | Olcademy
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## Math Skills for Data Science

• Coming Soon
• 6 enrolled
• English

₹ 499

Description

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.

I usually focus on the method and examples while teaching this course. Examples clear the concepts of the students in a variety of ways like, they can understand the main idea that instructors want to deliver if they feel typical the method of the subject or topics. So, focusing on example makes the course easy and understandable for the students.

What will you learn?
• Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules in depth
• The students will learn sample spaces, distributions, mean, median, mode, and range.
• They will also learn the other contents of probability and statistics in a detailed way.
What knowledge and tools are required?
• No special pre-requisite, you should know how to use a computer
• Knowledge of maths will be appreciated but not mandatory
• Keep a book and pen handy to solve math questions
Who should take this course?
• Aspiring data scientists
Lecture 1 :- L1: Welcome to Data science Math Skills

introduction

• Topics

1. 1. T1: Building blocks of problem Solving
Lecture 2 :- L2: Functions & Graphs

• Topics

1. 1. T1: How to calculate functions and display in graphs
Lecture 3 :- L3: Probablity theory

probab

• Topics

1. 1. T1: p function
Lecture 4 :- L4: Input Output Machines

I/O

• Topics

1. 1. T1: Mapping
Lecture 5 :- L5: Cartesian Plane

test

• Topics

1. 1. T1: Create a cartesian plane
2. est

Lecture 6 :- L6: Tangent Lines

tang

• Topics

1. 1. T1: Slope of a graph
2. at a point

Lecture 7 :- L7: Integer Exponents

algebra

• Topics

1. 1. T1: Simpification rules
Lecture 8 :- L8: Logarithms

log

• Topics

1. 1. T1: Rate of growth
2. in log

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Instructor Profile

# Ayushi Jaiswal

Skills: htmlui designingprobablitycsstestingbootstrap

Hello folks, this your instructor Ayushi Jaiswal, who will be teaching you amazing math skills required for data science. There will be a lot of examples for you to understand the topics clearly. So you don't have to worry about the learning part. I would like you to know that currently, I am working as a software tester. I am also proficient in UI designing. I will soon be creating new courses for these domains also. I wish you all the very best. I hope you enjoy the course.

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