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Statistics Primer for Data Scientist’s

Lay the Foundation: Insights & Corporate Roles, Discrete & Continuous random variables, Descriptive Stats & Percentile!
4.0
4.0/5
(304 reviews)
44,738 students
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8.0

CourseMarks Score®

8.6

Freshness

7.0

Feedback

7.8

Content

Platform: Udemy
Video: 3h 8m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

8.6 / 10
This course was last updated on 5/2020 .

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.0 / 10
We analyzed factors such as the rating (4.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.8 / 10
Video Score: 8.0 / 10
The course includes 3h 8m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 34 minutes of 287 Data Science courses on Udemy.
Detail Score: 9.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

“Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician.” – Josh Wills

Statistics for Data Science
In this course, we lay your foundation on Data Science. More often than not participants rush into learning data science without knowing what exactly they are getting into: this course will give you insights and clarity on what data science is all about.

Statistics, Math, Linear Algebra
If we talk in general about Data Science, then for a serious understanding and work we need a fundamental course in probability theory (and therefore, mathematical analysis as a necessary tool in probability theory), linear algebra and, of course, mathematical statistics. Fundamental mathematical knowledge is important in order to be able to analyze the results of applying data processing algorithms. There are examples of relatively strong engineers in machine learning without such a background, but this is rather the exception.
Data Mining and Data Visualization
Data Mining is an important analytic process designed to explore data. It is the process of analyzing hidden patterns of data according to different perspectives for categorization into useful information, which is collected and assembled in common areas, such as data warehouses, for efficient analysis, data mining algorithms, facilitating business decision making and other information requirements to ultimately cut costs and increase revenue.
Machine Learning
Machine learning allows you to train computers to act independently so that we do not have to write detailed instructions for performing certain tasks. For this reason, machine learning is of great value for almost any area, but first of all, of course, it will work well where there is Data Science.
Programming (Python & R)
We recommend all our students to learn both the programming languages and use them where appropriate since many Data Science teams today are bilingual, leveraging both R and Python in their work.

Through our Four-part series we will take you step by step, this is our first part which will lay your foundation. We will deal with the below sections in this Part 1:
•Data Science Roles
•Data Science Insights
•Terminologies and Statistical Methods in Data Science
•Discrete and Continuous random variables
•Basics of descriptive statistics
•Understanding Percentile

You will learn

✓ You will gain a firm foothold of the fundamentals of Data Science. The course provides the entire toolbox you need to become a data scientist.
✓ You will understand the mathematics and statistics behind Machine Learning
✓ You will understanding the Octagonal Technical Facets of Data Science
✓ You will learn how to pre-process data
✓ You will understand the corporate roles that exist in Data Science
✓ You will understand the important terminologies and statistical methods in data science
✓ You will understand Discrete and Continuous random variables
✓ You will learn the basics of descriptive statistics using a Metric example
✓ You will learn what percentile is with the help of examples

Requirements

• No prior experience is required. We will start from the very basics

This course is for

• The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
• You should take this course if you want to become a Data Scientist or if you want to learn about the field

How much does the Statistics Primer for Data Scientist's course cost? Is it worth it?

The course costs $14.99. And currently there is a 63% discount on the original price of the course, which was $39.99. So you save $25 if you enroll the course now.
The average price is $14.9 of 287 Data Science courses on Udemy.

Does the Statistics Primer for Data Scientist's course have a money back guarantee or refund policy?

YES, Statistics Primer for Data Scientist’s has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Statistics Primer for Data Scientist's course, but there is a $25 discount from the original price ($39.99). So the current price is just $14.99.

Who is the instructor? Is Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight! a SCAM or a TRUSTED instructor?

Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight! has created 43 courses that got 5,759 reviews which are generally positive. Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight! has taught 309,821 students and received a 4.0 average review out of 5,759 reviews. Depending on the information available, Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight! is a TRUSTED instructor.
Cybersecurity, Data Science & Human Capital Practitioners!
We specialize in Cybersecurity, Data Science and Talent Management/Human capital management training. The USP of all our training’s is the hands-on that we provide, our focus is on real-life practical knowledge sharing, and not tool-based PPT slides. All our training’s are conducted by highly experienced practitioners who are dyed-in-the-wool penetration testers. The material is cutting edge and updated with even the most recent developments. We have a standard set of courses outlined in different information security domains, data analytics domains and Talent management domain. However, we also customize the training according to the clients’ requirements.

8.0

CourseMarks Score®

8.6

Freshness

7.0

Feedback

7.8

Content

Platform: Udemy
Video: 3h 8m
Language: English
Next start: On Demand

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