Interested in learning Data Science, welcome. In my simple version Data science is collecting, cleaning and analyzing data to get meaningful information that helps in providing insights.
To succeed in Data Science path you will need:
- Passion for analysis
- Consistency and Integrity in research
- Willingness to constantly learn Easy Peasy!
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The Sprint
The current skills/ knowledge required to start are:
Git - this is a version control platform that enables collaboration with your team mates.
Check here
Python - Language that is commonly used in data science and machine learning.
Install python
Learn Python
Anaconda - A platform that you use for python/ R data science and machine learning projects and you work on Jupyter notebooks.
Anaconda install
You will get to work various types of data, the common are structured and Unstructured data. These types of data are stored in databases.
Databases - Where data is stored. There are relational and non-relational databases.
Learn databases
Some databases that are worth understanding from the word go:
SQL
Postgres
MongoDB
DynamoDB
Python Libraries
Pandas - a python library for Data analysis and manipulation.
pandas tutorial
Numpy - a python library that works with mathematical functions.
Numpy tutorial
Matplotlib - a python library used for visualizations.
Matplotlib tutorial
Seaborn - a python library that deals with statistical operations.
Seaborn tutorial
Pyforest - a handy python library that when installed it loads several other python libraries.
Pyforest tutorial
Databases to python
Postgres to python tutorial
SQL to python tutorial
Boto3 - An Amazon Web Services (AWS) SDK that creates, configures and manages AWS services.
Boto3 tutorial
Go through the tutorials, try to practice the examples given in the tutorials. By the end you'll have a pretty good skillset up your sleeve on how to start and perform a few basic data science projects.
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Let me know of other tutorials you think I should add to the list that will help beginner journey in the comments below.
Top comments (1)
Here is another SQL tutorial, to learn free online.