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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!
Instructor:
Kirill Eremenko
7,830 students enrolled
English [Auto]
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

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.

Section 0: -------------------- Introduction ----------------

1
Welcome to the Course
2
BONUS: Learning Paths
3
Where to get the materials

Section 1: -------------------- The Ultimate Data Science Guide ----------------

1
Updates on Udemy Reviews
2
The 6-Week Data Scientist
3
Statistics
4
The Data Science Process
5
Visualization
6
Interview with Nadieh Bremer
7
Databases
8
Statistical Learning & Meet Hadelin de Ponteves
9
Machine Learning
10
Deep Learning
11
Deep Learning and Computer Vision
12
Deep Learning and NLP
13
Artificial Intelligence

Section 2: -------------------- Data Science with Tableau --------------------

1
Intro to Tableau - Step 1
2
Intro to Tableau - Step 2
3
Intro to Tableau - Step 3
4
Intro to Tableau - Step 4
5
Intro to Tableau - Step 5
6
Intro to Tableau - Step 6
7
Intro to Tableau - Step 7
8
Intro to Tableau - Step 8
9
Intro to Tableau - Step 9

Section 3: -------------------- Data Science with Python --------------------

1
Python - Step 1
2
Python - Step 2
3
Python - Step 3
4
Python - Step 4
5
Python - Step 5
6
Python - Step 6
7
Python - Step 7
8
Python - Step 8
9
Python - Step 9
10
Python - Step 10

Section 4: -------------------- Data Science with the Cloud --------------------

1
Cloud - Step 1
2
Cloud - Step 2
3
Cloud - Step 3
4
Cloud - Step 4

Hi guys,

Here's your step by step guide to 
G

Go to "Part 4: Data Science in the Cloud" and download it directly.

Check here: https://www.superdatascience.com/intro-to-datascience/ 

We hope you enjoy it!

Kirill & Hadelin

Section 5: -------------------- Course Conclusion --------------------

1
Course Conclusion
2
THANK YOU bonus video

Bonus Lectures

1
***YOUR SPECIAL BONUS***
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

5 hours on-demand video
6 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion