How to become a data scientist from scratch
4.7 (7 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
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How to become a data scientist from scratch

An easy, interesting and efficient way to acquire the fundamentals you need
4.7 (7 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
131 students enrolled
Created by Daniel We
Last updated 6/2017
English
Curiosity Sale
Current price: $10 Original price: $100 Discount: 90% off
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • You can apply important data science methods on any dataset you want
  • You know how to explore data in an efficient way
  • You have acquired solid background for your future career
  • You have levelled up your skills as an entrepreneur or employee
View Curriculum
Requirements
  • basic knowledge of python
  • you need to install python (e.g. with Anaconda) on your device
  • willingness to code along with me - That's how you learn
Description

So you want to become a data scientist hm?

If your answer is : Yes that's correct, then you are at the right place to start!

Data science is the most interesting topic in the world we live in and beside that also highly rewarding. Any kind of machine learning (self driving cars, stock market prediction, image recognition, text analyzing or simply getting insights of huge datasets - it's all part of data science.

The jobs of tomorrow - self employed or employed will encounter working with data - it' s simply the "oil of this century".

With this in mind it's totally understandable that you are searching for a way to enter this topic. Most often the biggest problem is how to find the right way to start. And that's what this course is all about.

My goal is to give you and easy interesting and efficient way to start data science from scratch. Even if you have barely started with coding and only know the basics of  python, this course is for you!

Let's together explore the fundamentals to become succesful  and create the foundation for you future career..


Can't wait to start coding with you! See you in the first lecture.

Best 
Daniel

Who is the target audience?
  • Students who are interested in a career as a data scientist
  • Students who want practical hands on experience
  • Students who search for the best way to enter Data science and want to learn fundamentals
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Curriculum For This Course
14 Lectures
01:44:18
+
How to become a data scientist from scratch
14 Lectures 01:44:18

Gives you a brief overview of what you are learning here

Preview 01:17


3 Data Science - Getting deeper into it
11:16

4 Data Science - Data conversion
05:18

5 Data Science - So much data conversion
06:46

6 Data Science - How to get only relevant data
08:11

7 Data Science - The right data at the right time
07:28

8 Data Science - How to deal with strings efficiently
14:45

9 Data Science - Numerical values that's what we want!
08:06

10 Data Science - Testing with own data
07:11

11 Data Science - Continuation
09:44

12 Data Science - Important methods for data exploration
07:05

13 Data Science - Important methods for data exploration 2
06:42

14 Data Science - Mastered the basics now what
00:37
About the Instructor
Daniel We
4.6 Average rating
198 Reviews
4,984 Students
19 Courses
Traveller

Daniel is a 28 year old entrepreneur ,data scientist and web analyst consultant. He holds a master degree as well as other major certificates from Google and others.

He is committed to support other people by offering them educational services to help them accomplishing their goals and becomming the best in their profession.

"In order to do the impossible you need to see the invisible"