Udemy

beginner to advanced - how to become a data scientist

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  • 920 Students
  • Updated 1/2023
4.1
(43 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 23 Minute(s)
Language
English
Taught by
Dan We
Rating
4.1
(43 Ratings)
1 views

Course Overview

beginner to advanced - how to become a data scientist

master data science fundamentals for machine learning, deep learning and neural networks

So you want to become a data scientist hm? But you do not know how and where to start?

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

You could not have chosen a better time to introduce yourself to this topic.Data science is the most interesting topic in the world we live in and beside that also highly rewarding. It will shape our future and therefore it's better to act now than regret later. 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 exploring, analyzing and visualizing data - it' s simply the "oil of this century". And the golden times are yet to come!


"From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!"


With this in mind it's totally understandable that smart people like you are searching for a way to enter this topic. Most often the biggest problem is how to find the right way master data science from scratch. And that's what this course is all about.

My goal is to show 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 will help you to learn all the relevant skills for data science!

Together let's learn, explore and apply the core fundamentals in data science for machine learning / deep learning / neural networks and set up the foundation for you future career..

Can't wait to start coding with you! Meet me in the first lecture!

Best 

Daniel

Course Content

  • 5 section(s)
  • 66 lecture(s)
  • Section 1 Course introduction
  • Section 2 pandas for data science
  • Section 3 Introduction to numpy - what you need to know
  • Section 4 Data Visualization
  • Section 5 Master Data Visualization with Seaborn

What You’ll Learn

  • You can apply important data science methods on any dataset you want
  • You have acquired a deep understanding in data exploration and preparation techniques
  • You understand numpy and it‘s importance for data science
  • You can apply advanced visualization techniques to present your findings
  • you are prepared to dive deeper into machine learning and neural networks
  • You might open up new career opportunities for you which are not only highly rewarding but also offer more job satisfaction

Reviews

  • F
    Fred Odhiambo
    3.0

    Still waiting to go deeper

  • O
    Ola Bazanko
    5.0

    Great course for the beginners on pandas, matplot , numpy and seaborn. it has clear explanation and ggod examples

  • T
    Tuan Rajan Rushdhan Abdul Gaffoor
    4.0

    The course is really great and I got my questions answered on time. Only if the tutor can elaborate and explain more on the basics of the jupyter notebook by explaining each and every jupyter commands and codes. May God bless this tutor.

  • A
    Anastasia Kleymenova
    5.0

    все понятно и без лишней информации, как мне кажется :)

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