Intro to Data Science: QuickStart Guide + AI & ChatGPT Prize
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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:
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The structured path for rapidly acquiring Data Science expertise
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How to build your ability in statistics to help interpret and analyse data more effectively
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How to perform visualizations using one of the industry’s most popular tools
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How to apply machine learning algorithms with Python to solve real world problems
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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.
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5The 6-Week Data Scientist
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6Statistics
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7The Data Science Process
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8Visualization
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9Interview with Nadieh Bremer
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10Databases
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11Statistical Learning & Meet Hadelin de Ponteves
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12Machine Learning
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13Deep Learning
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14Deep Learning and Computer Vision
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15Deep Learning and NLP
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16Artificial Intelligence