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Cracking the Data Science Industry

The first course you should take if you want to learn about Data Science
0.0
0.0/5
(0 reviews)
3 students
Created by

9.7

CourseMarks Score®

9.9

Freshness

N/A

Feedback

9.0

Content

Platform: Udemy
Video: 2h 3m
Language: English
Next start: On Demand

Top Data Science courses:

Detailed Analysis

CourseMarks Score®

9.7 / 10

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

Freshness Score

9.9 / 10
This course was last updated on 11/2021.

Course content can become outdated quite quickly.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

We analyzed factors such as the rating (0.0/5) 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

9.0 / 10
Video Score: 7.9 / 10
The course includes 2h 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: 9.5 / 10

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

This course contains:

0 article.
3 resources.
0 exercise.
0 test.

Table of contents

Description

This is my attempt at creating a course to explain what I believe is a unique and correct approach to becoming a data scientist. Getting a job as a data scientist is a serious accomplishment that takes a lot of work and serious dedication. Therefore, having a game plan in place from day 1 should be considered essential to reaching this goal as quickly as possible.

If you are anything like me you rightfully might question why you would need to buy a course, when googling “How to become a Data Scientist” would suffice. Well this is exactly where my journey started a few years back and I found that the internet led me to results that were contradicting, fragmented, and overall just incomplete. While the internet is almost always a great resource I found that there was a disconnect between how the internet works and planning for my future career. This led me to what I call ping-ponging off of different pieces of course material and YouTube videos until I finally found myself in a position that I had been dreaming of, albeit 3 years later than expected.

Therefore, I took my failures and my successes to come up with what I believe is the proper approach to becoming a data scientist and created a game plan. First you need to get excited of why you want to become a data scientist. Second, you need to decide what education path is right for your situation. Then lastly, and most importantly you need to learn and apply the Data Science Process to create what I call, your Personal Data Science Use-Case Portfolio. The beauty of this portfolio is you get to explain the Art of Data Science and why you are drawn to do this in your free time.

So, what is this course not? Well it is not a course of technical learning and we will not cover how to become a Python Data Scientist, or explain different machine learning algorithms. Although these skills and many more are necessary, they do not fit in the structure or overall message of this course (However, we will be sure to link to relevant or helpful resources when appropriate). The purpose here is to give you the template, and let you run wild with it, and learn these skills as they are needed.

You will learn

✓ Learn about the Data Science Industry
✓ Understand the Data Science Process
✓ Step-by-Step instruction on becoming a Data Scientist
✓ Receive directions to reliable and necessary technical trainings
✓ Develop End-to-End Data Science Use Case
✓ Learn how to Interview and Present for Data Science Job Positions

Requirements

• No Technical Pre-Reqs Required
• Interest in getting involved in the tech industry

This course is for

• Anyone looking for direction and guidance on getting started in data science
• Anyone looking to learn about the data science industry
• Anyone that wants to know how to get a data science job
• Anyone looking for a step-by-step guide on becoming a data scientist

How much does the Cracking the Data Science Industry 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 Cracking the Data Science Industry course have a money back guarantee or refund policy?

YES, Cracking the Data Science Industry 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 Cracking the Data Science Industry 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 Ryan Rudd a SCAM or a TRUSTED instructor?

Ryan Rudd has created 1 courses that got reviews which are generally positive. Ryan Rudd has taught 3 students and received a — average review out of reviews. Depending on the information available, Ryan Rudd is a TRUSTED instructor.
Systems Engineer
Hello everyone my name is Ryan and I have been in the tech industry for the past 3 years, specifically dealing with cloud technologies and data analysis products. It is my passion to teach, and help share my mistakes to up and coming students in the industry. My goal is to network with students to not only teach but to also learn. Please feel free to reach out!

9.7

CourseMarks Score®

9.9

Freshness

N/A

Feedback

9.0

Content

Platform: Udemy
Video: 2h 3m
Language: English
Next start: On Demand

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