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!