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Statistics for Data science

Develop essential data science & ai skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

When you talk about data science the most important thing is Statistical MATHS. This course teaches statistical maths using simple excel. My firm belief is MATHS is 80% part of data science while programming is 20%.

If you start data science directly with python , R and so on , you would be dealing with lot of technology things but not the statistical things. I recommend start with statistics first using simple excel and the later apply the same using python and R. Below are the topics covered in this course.

Lesson 1:- What is Data science . Chapter 1:- What is Data science and why do we need it . Chapter 2:- Average , Mode , Min and Max using simple Excel.

Chapter 3:- Data science is Multi-disciplinary. Chapter 4:- Two golden rules for maths for data science. Lesson 2:- What is Data science.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AIData Science

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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