Want to be a Big Data Scientist?

Should you pursue a career in Data Science? Data Science basics, process, team, roles, skills, transition, opportunities

4.70 (970 reviews)
Udemy
platform
English
language
Data Science
category
Want to be a Big Data Scientist?
12,547
students
1.5 hours
content
Mar 2018
last update
$49.99
regular price

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

Why take this course?

"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.

Screenshots

Want to be a Big Data Scientist? - Screenshot_01Want to be a Big Data Scientist? - Screenshot_02Want to be a Big Data Scientist? - Screenshot_03Want to be a Big Data Scientist? - Screenshot_04

Reviews

Xuan
May 7, 2018
Great course to learn what the field of Data Science is about, what a career in DS can look like. Great overview of the phases of a projet in DS, the skills required to be part of a DS Team, and the various roles in a DS team. I like the pace of the instructor (slow haha it`s good for me!). Although he has an accent, it is easy to understand. The amount of details provided is sufficient in my opinion for the goals of this course. Thank you!
Juan
April 25, 2018
Bastante interesante, ya que no he tenido una educación formal en ciencia de datos y quiero ver si este campo es para mi interese de estudio
Radhika
April 25, 2018
I personally liked the course because it describes the programmes/languages one needs to learn in order to compliment with the existing skills and enter into the field of data science.
Stefano
April 23, 2018
Really helpful if you're thinking on a transition in the data science. It clarified me a lots of themes
Andreas
April 22, 2018
Overall good and pedagogical information. Really easy to follow. Please try not to move the mouse at all, it’s a bit annoying trying to follow a spinning pointer now and then.
Ramesh
April 18, 2018
I had my Engineering expertise in Big Data in 2004-2007 during my PhD years, but since 2008 due to the demand of my organiation, I started focusing more on the domain of IT entrepreneurship and its development. The topic "Transitioning into Data Science" has been a great input for my decision making. I will now start to explore the skillset towards the Business Analytics know-how, which i feel more rewarding and highly beneficial. Thanks. Best regards. Ramesh Zaidi Rozan. Malaysia.
Lauren
April 16, 2018
Course was great. I highly recommend it to anyone interested in pursuing employment in data science. Every module was explained thoroughly and in terms that someone without a data background could understand. The only issue I had was with some of the imagery he used in his presentation; specifically the one with parents arguing in front of a child to illustrate frustrations with teamwork and the process. A better picture would have been used, but the course was perfect otherwise.
Hillary
April 14, 2018
I had been questioning whether this was the career I really wanted to pursue. I was unaware of how I would break into this field with my Bachelors. It also gave me a direction to head first to work on getting me where I wanted to go.
Carlos
April 12, 2018
EL curso ofrece una orientación efectiva, es completo y permite vislumbrar los diversos enfoques de Big Data Science
Paolino
April 9, 2018
Semplice e ben spiegato, mette subito in chiaro cosa offre e non si discosta dall'offerta formativa promessa
Andre
April 5, 2018
Para níveis iniciantes exemplifica bem o que vai ser o curso e sua agregação de valor, e para níveis avançados deixa claro se preciso ou não deste curso. O ritmo da aula foi meio lento para o meu gosto (já tive treinamento para absover grandes quantidades de dados e quando acelerei o vídeo a dicção do autor não fica muito boa.
Carlos
March 31, 2018
En general, el instructor proporciona mucha información acerca de las carreras como científicos de Big Data. Estoy satisfecho debido a que ahora se que habilidades necesito para perseguir esta profesión. Gracias
Anshul
March 29, 2018
Kumaran Sir has explained the data science and career paths in a very well written and expressed format, for people looking for careers in DS. This is one of the excellent videos on Udemy, I'd look forward to see such intro videos for all diverse audiences looking to opportunity to broaden their skills.
Suzieana
March 24, 2018
I appreciated the fact that the trainer asked the learners to pause and ponder how they feel about the course so far; whether or not they are comfortable with what they have just experienced.
Ramneet
March 21, 2018
A good course if you want to explore various roles in data science field. Give it a try to get a better understanding of the field you are trying to get into. You will surely get to know something new.

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1547582
udemy ID
2/9/2018
course created date
11/22/2019
course indexed date
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