Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Data Science Fundamentals

Learn how Data Science creates products for your business and Contact Center Environments
5.0
5.0/5
(3 reviews)
449 students
Created by

9.1

CourseMarks Score®

10.0

Freshness

9.0

Feedback

7.6

Content

Platform: Udemy
Video: 1h 3m
Language: English
Next start: On Demand

Top Data Science courses:

Detailed Analysis

CourseMarks Score®

9.1 / 10

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

Freshness Score

10.0 / 10
This course was last updated on 2/2022.

Course content can become outdated quite quickly.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

9.0 / 10
We analyzed factors such as the rating (5.0/5) 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

7.6 / 10
Video Score: 7.7 / 10
The course includes 1h 3m 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.
Detail Score: 9.5 / 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

On this training we are going to explore and understand the concepts and details of Data Science. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data.

Data science is a “concept to unify statistics, data analysis, informatics, and their related methods” in order to “understand and analyze actual phenomena” with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. However, data science is different from computer science and information science. Turing Award winner Jim Gray imagined data science as a “fourth paradigm” of science (empirical, theoretical, computational, and now data-driven) and asserted that “everything about science is changing because of the impact of information technology” and the data deluge.

We also are going to take a peek at the Big Data Concepts and details of Big Data. A data scientist is someone who creates programming code, and combines it with statistical knowledge to create insights from data.
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.

Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from big data, and seldom to a particular size of data set. “There is little doubt that the quantities of data now available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem.” Analysis of data sets can find new correlations to “spot business trends, prevent diseases, combat crime and so on”. Scientists, business executives, medical practitioners, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, healthcare analytics, geographic information systems, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology, and environmental research.

You will learn

✓ Learn how to understand Data Science and Concepts
✓ Understand the pillars for Data Science
✓ Identify the cloud components and Data Science components
✓ Learn the architecture for Data Science in the Enterprise

Requirements

• Any User

This course is for

• Marketing, Operations, Infrastructure Teams, Sales, Data Teams

How much does the Data Science Fundamentals course cost? Is it worth it?

The course costs $12.99. And currently there is a 35% discount on the original price of the course, which was $19.99. So you save $7 if you enroll the course now.

Does the Data Science Fundamentals course have a money back guarantee or refund policy?

YES, Data Science Fundamentals 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 Data Science Fundamentals course, but there is a $7 discount from the original price ($19.99). So the current price is just $12.99.

Who is the instructor? Is Juan Sebastian Garcia a SCAM or a TRUSTED instructor?

Juan Sebastian Garcia has created 49 courses that got 1,364 reviews which are generally positive. Juan Sebastian Garcia has taught 25,711 students and received a 4.0 average review out of 1,364 reviews. Depending on the information available, Juan Sebastian Garcia is a TRUSTED instructor.
CHFI – CCNA – ENA – ACE
J.S Garcia “Juan Sebastian Garcia” is an Engineer and an Author. His Family moved to Brooklyn, NY, in 1992 where he grew up. He’s the youngest of four children. After he graduated as a Computer Forensics Investigator from the Electronic Commerce Council University in NM, he is also certified as an Avaya Certified Expert, CEH, CHFI, CCNA, ENA, Oracle DBA. Over 20 Years of experience in IT Infrastructure Teams and management, Specialized in Telecomunications, Contact Centers, Cloud, Virtualization, Security. Motivated, adaptable, customer focused, results driven, and hard working Information Technology Professional With proven ability to work under any pressure and deliver desired outcome of high quality requirements and customer deadlines. Worked at top companies, including Harry and David, Amerigroup Corp, IDT Corp, RFA Corp, Cable and Wireless Business and many more. Strong communication and interpersonal skills demonstrated in working with colleagues and customers across the global. Implemented more that 120.000 users worldwide and 32.000 Call Center Agents in 20+ Countries from design to implementation and customer satisfaction. Show moreShow less

9.1

CourseMarks Score®

10.0

Freshness

9.0

Feedback

7.6

Content

Platform: Udemy
Video: 1h 3m
Language: English
Next start: On Demand

Students are also interested in

Review widget (for course creators):

Data Science Fundamentals rating
Code for the widget (just copy and paste it to your site):
<a href="https://coursemarks.com/course/data-science-fundamentals/" target="_blank" title="Data Science Fundamentals on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/91.svg" width="200px" alt="Data Science Fundamentals rating"/></a>