Careers in Data Science A-Z™
4.5 (1,694 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8,439 students enrolled

Careers in Data Science A-Z™

How to Become a Top Level Data Scientist - Learn What to Expect, How to be Prepared, How to Stand Out and More...
4.5 (1,694 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8,439 students enrolled
Last updated 7/2020
English
English [Auto], Portuguese [Auto]
Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 3.5 hours on-demand video
  • 3 articles
  • 9 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • The basic steps on how to become a Data Scientist
  • How to take their Data Science career to the next level
  • Hacks, tips & tricks for their Data Science career
Course content
Expand all 52 lectures 03:35:31
+ Module 0 - Welcome
7 lectures 18:31
BONUS: Learning Paths
00:51
Course structure
02:54
Updates on Udemy Reviews
01:09
Our backgrounds
10:00
Some Additional Resources!!
00:13
+ Module 1 - What is Data Science
9 lectures 36:58
What is Data Science?
03:41

Get to know why Data Science is essential and why businesses are hiring Data Scientists

Preview 02:32

In this lecture you will know what the role of the Data Scientist in the team is and which functions Data Scientist can cover

What does a Data Scientist do?
02:22
How the Data Scientist everyday looks like
05:04
Data Science Roles
07:35
Salary Range
05:23
How does a typical Data Science project work
05:25
Future of Data Science
01:56
Will Data Science be on Demand
03:00
+ Module 2 - Requirements
10 lectures 49:02
Kick Off - Module 2
03:00
Basic Education / Degree needed in Data Science
09:06
How much Math's is required?
04:18
How much Statistics is required?
03:41
How many Machine Learning algorithms should I know?
02:25
What is the minimum basic requirements to start a career in Data Science?
03:14
What background do you need to start a career in Data Science?
06:09
What is the most important habit for becoming a good Data Scientist?
03:42
What are the best 3 qualities to have in Data Science?
08:16
+ Module 3 - Becoming a Top Data Scientist
10 lectures 44:22
Pathways to study Data Science
09:42
Statistics topics to learn
04:54
What programming languages you should know
01:57
R vs. Python
01:38
Do I need to know R & Python or will only one do?
02:15
Recommended Books
04:06
Resources to learn
03:19
How to become a Top Level Data Scientist
08:45
Where to get practical experience
04:19
+ Module 4 - Job Options
6 lectures 18:11
Freelancing & Remote Work
02:48
Personal Business
01:40
How to start with 0 experience
02:01
Which job is right for me?
01:21
Top companies
07:49
+ Module 5 - Promoting Yourself
5 lectures 27:03
How to prepare a CV / Portfolio
03:55
Should I create a blog or portfolio in order to get a DS job?
03:54
Best places to promote your skills
10:22
Facebook Groups
03:04
How to stand out from the crowd
05:48
+ Module 6 - Interview
4 lectures 20:56
What questions should you expect
05:58
How to prepare yourself for the interview
04:47
THANK YOU bonus video
02:40
+ Bonus Lectures
1 lecture 00:28
***YOUR SPECIAL BONUS***
00:28
Requirements
  • Just some high school mathematics level
Description

Becoming a Data Scientist might be on your mind right now.
Named the "Sexiest Job of the 21st Century", this career seems like a great idea not only due to its high demand, but lack of supply of skilled proffesionals. 

But the million dollar question is: What makes the difference between Top Level Data Scientist and just another one from the bunch?

Here is where this course jumps in...
With over 8 years combined experience in the field, we've decided to step back and put all of the lessons we've learned through our careers into one simple course.

If you want to get valuable insights, advice, hacks & tips, recommendations, lessons from failures and successes from our careers and learn how to apply it to your own and take your Data Science career to the next level, then this course is just for you.

Who this course is for:
  • Any student or professional who wants to start or transition to a career in Data Science.
  • Data Scientists who wish to improve their career in Data Science.
  • Any Data Science enthusiast