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Intro to Data Science: Your Step-by-Step Guide To Starting

Learn the critical elements of Data Science, from visualization to databases to Python and more, in just 6 weeks!
4.5
4.5/5
(3,479 reviews)
14,378 students
Created by

9.8

Classbaze Grade®

10.0

Freshness

9.5

Popularity

9.2

Material

Learn the critical elements of Data Science
Platform: Udemy
Video: 5h 14m
Language: English
Next start: On Demand

Best Data Science classes:

Classbaze Rating

Classbaze Grade®

9.8 / 10

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

Freshness

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly.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.

Popularity

9.5 / 10
We analyzed factors such as the rating (4.5/5) 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.

Material

9.2 / 10
Video Score: 8.4 / 10
The course includes 5h 14m 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 5 hours 35 minutes of 540 Data Science courses on Udemy.
Detail Score: 9.4 / 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: 9.9 / 10

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

This course contains:

6 articles.
1 resources.
0 exercise.
0 test.

In this page

About the course

The demand for Data Scientists is immense. In this course, you’ll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself.
The #1 goal of this course is clear: give you all the skills you need to be a Data Scientist who could start the job tomorrow… within 6 weeks.
With so much ground to cover, we’ve stripped out the fluff and geared the lessons to focus 100% on preparing you as a Data Scientist. You’ll discover:
* The structured path for rapidly acquiring Data Science expertise
* How to build your ability in statistics to help interpret and analyse data more effectively
* How to perform visualizations using one of the industry’s most popular tools
* How to apply machine learning algorithms with Python to solve real world problems
* Why the cloud is important for Data Scientists and how to use it
Along with much more. You’ll pick up all the core concepts that veteran Data Scientists understand intimately. Use common industry-wide tools like SQL, Tableau and Python to tackle problems. And get guidance on how to launch your own Data Science projects.
In fact, it might seem like too much at first. And there is a lot of content, exercises, study and challenges to get through. But with the right attitude, becoming a Data Scientist this quickly IS possible!
Once you’ve finished Introduction to Data Science A-Z, you’ll be ready for an incredible career in a field that’s expanding faster than almost anything else in the world.
Complete this course, master the principles, and join the ranks of Data Scientists all around the world.

What can you learn from this course?

✓ The entire Data Science process
✓ Cloud concepts & application in Data Science
✓ Database concepts
✓ Statistics fundamentals as needed in Data Science
✓ Visualizations for data mining and presentation
✓ An overview on Statistical Learning
✓ The essentials of Machine Learning
✓ More advanced Python to apply to Data Science

What you need to start the course?

• Only a passion to build a successful Data Science career

Who is this course is made for?

• Anyone who’s generally interested in Data Science
• Anyone not satisfied with their job and wanting to transition into Data Science
• Students in college wanting to start a career in Data Science
• Students unsure of their future career wanting to see what Data Science is about
• Junior Data Scientists aiming to boost their career prospects

Are there coupons or discounts for Intro to Data Science: Your Step-by-Step Guide To Starting ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $11.5 of 540 Data Science courses. So this course is 30% more expensive than the average Data Science course on Udemy.

Will I be refunded if I'm not satisfied with the Intro to Data Science: Your Step-by-Step Guide To Starting course?

YES, Intro to Data Science: Your Step-by-Step Guide To Starting has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Intro to Data Science: Your Step-by-Step Guide To Starting course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Kirill Eremenko?

Kirill Eremenko has created 60 courses that got 573,207 reviews which are generally positive. Kirill Eremenko has taught 2,123,163 students and received a 4.6 average review out of 573,207 reviews. Depending on the information available, we think that Kirill Eremenko is an instructor that you can trust.
Data Scientist
My name is Kirill Eremenko and I am super-psyched that you are reading this!
Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!
Browse all courses by on Classbaze.

9.8

Classbaze Grade®

10.0

Freshness

9.5

Popularity

9.2

Material

Platform: Udemy
Video: 5h 14m
Language: English
Next start: On Demand

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