How can I start in Data Science?
I haven’t got any technical experience. I studied business administration and management and a master of management and technology of business process. It would be a great achivement for me to learn and understand this field. #business #computer-science #data #science #python #neural #networks
Data science is a broad field and data scientists usually come from various backgrounds such as business, physics, math, computer science etc. Make sure you learn basic and advanced statistics coupled with programming languages such as Python and R. This should give you a solid foundation in Data science.
- Gain experience in the field you intend to work in (ex: healthcare, physics, business)
- Learn basic and advanced statistics coupled with programming languages such as Python and R
- Kaggle is a great way to gain hands-on experience
Abhishek recommends the following next steps:
You can start with some online courses and watching some dedicated youtube channel. Here is some link to start with :
Some notion in mathematics, statistics, probability wil help you in the transition.
Let me know if you want yo go further in data science and will recommend some more advaced courses
Hicham recommends the following next steps:
You can start with high school statistics and start developing some programming and logical skills.Basic statistics can help you develop problem solving and analytical skills.
Data Science is a very broad field and may cover difference techniques in difference companies/circumstances. From your hashtags I am assuming you wanted to learning Machine Learning.
Nowadays there are many useful beginner ML classes online you can find. The most famous one is the one from Andrew Ng on Coursera https://www.coursera.org/learn/machine-learning. It covers the basic of ML.
After getting basic ideas, you can start playing with different Python package on public datasets. You can check out Kaggle competitions, find simple problems to solve, and see how other people solve it in the Kaggle forum. Learning by doing is the way I found most effective. :)
Sean recommends the following next steps:
-- Data Visualization
-- Foundational understanding of data modeling
-- Understanding of how data flows from systems to landing areas to data use layers
Maths — 3Blue1Brown (https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw)
Machine Learning — Andrew Ng, Coursera (https://www.coursera.org/learn/machine-learning)
Programming — Python for Data Science and Machine Learning (https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/)
Statistics — Elements of Statistical Learning (https://web.stanford.edu/~hastie/Papers/ESLII.pdf)
A strong grasp of these techniques and practice (a lot of practice), will help you kick-start your career in data science.
Step 1: Get comfortable with Python
Step 5: Keep learning and practicing
Bonus: Join Data School (for free!)
To do this, you have to get used to at least one kind of programming tool or language.
It can be a SQL, R, Python, C etc.
You can learn these kind of tools easily in various websites.
Also, there exists various career paths inside the data science track.
You can be a data scientist who are specialized in business analyzing, data visualization or AI model development.
So before decide what technical skills you want to learn and what area you will focus, I recommend you to research about data-related industry needs and trends of data field.