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Intro to Data Science: QuickStart Guide + AI & ChatGPT Prize

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Intro to Data Science: QuickStart Guide + AI & ChatGPT Prize, available at $99.99, has an average rating of 4.49, with 50 lectures, based on 7098 reviews, and has 26994 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone who's generally interested in Data Science or Anyone not satisfied with their job and wanting to transition into Data Science or Students in college wanting to start a career in Data Science or Students unsure of their future career wanting to see what Data Science is about or Junior Data Scientists aiming to boost their career prospects It is particularly useful for Anyone who's generally interested in Data Science or Anyone not satisfied with their job and wanting to transition into Data Science or Students in college wanting to start a career in Data Science or Students unsure of their future career wanting to see what Data Science is about or Junior Data Scientists aiming to boost their career prospects.

Enroll now: Intro to Data Science: QuickStart Guide + AI & ChatGPT Prize

Summary

Title: Intro to Data Science: QuickStart Guide + AI & ChatGPT Prize

Price: $99.99

Average Rating: 4.49

Number of Lectures: 50

Number of Published Lectures: 43

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 43

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • 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

Target Audiences

  • 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

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 Curriculum

Chapter 1: Section 0: ——————– Introduction —————-

Lecture 1: Welcome Challenge!

Lecture 2: Welcome to the Course

Lecture 3: Learning Paths

Lecture 4: Where to get the materials

Chapter 2: Section 1: ——————– The Ultimate Data Science Guide —————-

Lecture 1: The 6-Week Data Scientist

Lecture 2: Statistics

Lecture 3: The Data Science Process

Lecture 4: Visualization

Lecture 5: Interview with Nadieh Bremer

Lecture 6: Databases

Lecture 7: Statistical Learning & Meet Hadelin de Ponteves

Lecture 8: Machine Learning

Lecture 9: Deep Learning

Lecture 10: Deep Learning and Computer Vision

Lecture 11: Deep Learning and NLP

Lecture 12: Artificial Intelligence

Chapter 3: Section 2: ——————– Data Science with Tableau ——————–

Lecture 1: Intro to Tableau – Step 1

Lecture 2: Intro to Tableau – Step 2

Lecture 3: Intro to Tableau – Step 3

Lecture 4: Intro to Tableau – Step 4

Lecture 5: Intro to Tableau – Step 5

Lecture 6: Intro to Tableau – Step 6

Lecture 7: Intro to Tableau – Step 7

Lecture 8: Intro to Tableau – Step 8

Lecture 9: Intro to Tableau – Step 9

Chapter 4: Section 3: ——————– Data Science with Python ——————–

Lecture 1: Python – Step 1

Lecture 2: Python – Step 2

Lecture 3: Python – Step 3

Lecture 4: Python – Step 4

Lecture 5: Python – Step 5

Lecture 6: Python – Step 6

Lecture 7: Python – Step 7

Lecture 8: Python – Step 8

Lecture 9: Python – Step 9

Lecture 10: Python – Step 10

Chapter 5: Section 4: ——————– Data Science with the Cloud ——————–

Lecture 1: Cloud – Step 1

Lecture 2: Cloud – Step 2

Lecture 3: Cloud – Step 3

Lecture 4: Cloud – Step 4

Chapter 6: Section 5: ——————– Course Conclusion ——————–

Lecture 1: Course Conclusion

Lecture 2: THANK YOU Video

Lecture 3: Huge Congrats for completing the challenge!

Lecture 4: Bonus: How To UNLOCK Top Salaries (Live Training)

Instructors

Rating Distribution

  • 1 stars: 66 votes
  • 2 stars: 111 votes
  • 3 stars: 780 votes
  • 4 stars: 2546 votes
  • 5 stars: 3595 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


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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