Learn Mathematics and Statistics for Data Science
Best way to learn mathematics and Statistics for data science and machine learning. This playlist cover topics that can help you in your data science or ML journey.
No Experience
Needed
Start from scratch
and build up
Flexible
Schedule
Learn at your
own pace
Quality
Content
Just quality
education
/images/1.1.419/courses/thumbnails/mathematics-and-statistics-for-data-science-and-machine-learning.webp)
No Experience Needed
Start from scratch
and build up
Flexible Schedule
Learn at your
own pace
Quality Content
Just quality
education
Course Curriculum
7 Lectures | 00:00
1:
Mathematics and Statistics for Data Science and Machine Learning
9 Lectures
-
1.1: Introduction
-
1.2: What is logarithm?
-
1.3: What is Standard Deviation and Mean Absolute Deviation
-
1.4: Normal Distribution and Z Score
-
1.5: Normal Distribution and Z Score Exercise
-
1.6: Median, Mean, Mode, Percentile
-
1.7: Median, Mean, Mode, Percentile Exercise
-
1.8: Descriptive vs Inferential Statistics
-
1.9: Log normal distribution
What our learners experience
Our content is rated 4.7/5 from 4886+ Learners
Sir makes us understand the topic with ease. I was tired of finding the topics on youtube and I have not found any. I request dhawal sir to make rest of the videos. I don't mind if they are paid course. I am ready to pay for it as well
simple and easy to understand
I finished watching it once. I rematch it again from starch and will give my honest positive comments.
Hopefully it is editable.
Data Analyst for past 26 months (Soon to be in a Higher Role)
Hi, Your explanation is awesome. My small suggestion is people who does not have statistics knowledge like me not understanding about what is the data spread? where we can use this in real time scenarios? can you please provide any reference links or explain these concepts.
Thank you
Course Instructor/Creator
Learning knows no limits. Here’s to your journey of seamless learning. Pick your preferred course from the list of paid & free resources.
Quick Link
Log in with Google
Log in with Linkedin