Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 15 Minute(s)
Language
English
Taught by
Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Ligency
Rating
Course Overview
Learn the critical elements of Data Science, from visualization to databases to Python and more, in just 6 weeks!
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, 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.
Course Content
- 6 section(s)
- 43 lecture(s)
- Section 1 Section 0: -------------------- Introduction ----------------
- Section 2 Section 1: -------------------- The Ultimate Data Science Guide ----------------
- Section 3 Section 2: -------------------- Data Science with Tableau --------------------
- Section 4 Section 3: -------------------- Data Science with Python --------------------
- Section 5 Section 4: -------------------- Data Science with the Cloud --------------------
- Section 6 Section 5: -------------------- Course Conclusion --------------------
What You’ll Learn
- 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
Skills covered in this course
Reviews
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CCrystal Jauregui
muy introductorio sin profundidad en conocimientos
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JJuan Daniel Rodriguez Hurtado
The contents of the course are well explained but a think that some videos are unnecessary long.
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JJess Ferraro
The practical sections were great but there wasn't enough of them to feel like I learned enough from this course.
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NNick Adamski
a little outdated, but great concept and theory guide, also please get rid of anaconda XD change that asap haha
