Want to be a Big Data Scientist?
Want to be a Big Data Scientist?, available at $49.99, has an average rating of 4.7, with 13 lectures, based on 971 reviews, and has 12549 subscribers.
You will learn about Understanding of Data Science concepts and Process Knowledge or roles and suitability for them Challenges in Data Science Building a transition Plan This course is ideal for individuals who are Professionals looking to switch to a career in Data Science or Professional needing career advice on how to get work in Data Science It is particularly useful for Professionals looking to switch to a career in Data Science or Professional needing career advice on how to get work in Data Science.
Enroll now: Want to be a Big Data Scientist?
Summary
Title: Want to be a Big Data Scientist?
Price: $49.99
Average Rating: 4.7
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Understanding of Data Science concepts and Process
- Knowledge or roles and suitability for them
- Challenges in Data Science
- Building a transition Plan
Who Should Attend
- Professionals looking to switch to a career in Data Science
- Professional needing career advice on how to get work in Data Science
Target Audiences
- Professionals looking to switch to a career in Data Science
- Professional needing career advice on how to get work in Data Science
“Data Science is the sexiest job of the 21st century – It has exciting work and incredible pay“. You have been hearing about this a lot. You try to get more information on this and start querying and browsing. You get so many definitions, requirements, predictions, opinions and recommendations. At the end, you are perplexed. And you ask – “What exactly is this field all about? Is it a good career option for me?“
**** Please note: This is a career advice course, not a technology course.
Data Science has been growing exponentially in the last 5 years. It is also a hybrid field that requires multiple skills and training. We have been training students in Data Science. A number of them committed to training without realizing what it really is. Some were happy, some adjusted their expectations and some regretted committing too soon. We felt that professionals thinking of getting into Data Science needed a primer in what this field is all about. Hence, we came up with this course.
Through this course, you will learn about
- Data Science goals and concepts
- Process Flow
- Roles and Responsibilities
- Where you will fit in to a Data Science team.
- Building a transition plan
Getting into the Data Science field involves significant investment of time. Learn about the field in order to make an informed decision.
Course Curriculum
Chapter 1: What is Data Science ?
Lecture 1: Introduction
Lecture 2: Data Science Definition
Lecture 3: Elements of Data Science
Lecture 4: Life Cycle of a Data Science project
Lecture 5: Data Science Use Cases & R Example
Lecture 6: Big Data and Data Science
Chapter 2: How to become a Big Data Scientist?
Lecture 1: Data Science Teams and Responsibilities
Lecture 2: Roles and Skills needed
Lecture 3: Challenges faced by Data Scientists
Lecture 4: Transitioning into Data Science
Lecture 5: Finding your first opportunity
Lecture 6: Closing Remarks and Next Steps
Lecture 7: BONUS LECTURE – Other Courses and Coupons
Instructors
-
V2 Maestros, LLC
Big Data / Machine Learning Experts | 50K+ students
Rating Distribution
- 1 stars: 6 votes
- 2 stars: 26 votes
- 3 stars: 90 votes
- 4 stars: 374 votes
- 5 stars: 475 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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