Resources for getting started in #DataScience
Where to start? What to read? What to learn? I got you covered.
𧡠See thread below π
Where to start? What to read? What to learn? I got you covered.
𧡠See thread below π
2/ Roadmap to #datascience
Here's my 4 step process on becoming a data scientist
1. Plan
2. Learn
3. Build
4. Explain
π Video
π Blog towardsdatascience.com/the-art-of-leaβ¦
Here's my 4 step process on becoming a data scientist
1. Plan
2. Learn
3. Build
4. Explain
π Video
π Blog towardsdatascience.com/the-art-of-leaβ¦
3/ Create your own #datascience learning curriculum
Everyone's interest or needs are different. Therefore the destiny of everyone's learning journey is also different.
Create your own curriculum. Here's how:
π Video
π Blog towardsdatascience.com/how-to-create-β¦
Everyone's interest or needs are different. Therefore the destiny of everyone's learning journey is also different.
Create your own curriculum. Here's how:
π Video
π Blog towardsdatascience.com/how-to-create-β¦
4/ Learn #Python
In addition to statistics and mathematics, knowing how to code can take you places in your #datascience journey.
π Video
π Blog towardsdatascience.com/how-to-master-β¦
In addition to statistics and mathematics, knowing how to code can take you places in your #datascience journey.
π Video
π Blog towardsdatascience.com/how-to-master-β¦
5/ Learn @pandas_dev
In working with tabular data in #Python, you'll find #Pandas to be a powerful tool for preparing data before you can actually build that ML model. Particularly, you'll use it to perform data pre-processing and wrangling
π Blog towardsdatascience.com/how-to-master-β¦
In working with tabular data in #Python, you'll find #Pandas to be a powerful tool for preparing data before you can actually build that ML model. Particularly, you'll use it to perform data pre-processing and wrangling
π Blog towardsdatascience.com/how-to-master-β¦
6/ Learn @scikit_learn
You'll be able to perform further data processing and feature engineering as well as build classification and regression #machinelearning models with #scikitlearn.
π Blog towardsdatascience.com/how-to-master-β¦
You'll be able to perform further data processing and feature engineering as well as build classification and regression #machinelearning models with #scikitlearn.
π Blog towardsdatascience.com/how-to-master-β¦
7/ Learn @streamlit
Have that great #machinelearning model?
1. Show it to the world by creating a #streamlit web app.
2. Then deploy it to the cloud for free with Streamlit Cloud streamlit.io/cloud
π Read How to Master Streamlit for #datascience
blog.streamlit.io/how-to-master-β¦
Have that great #machinelearning model?
1. Show it to the world by creating a #streamlit web app.
2. Then deploy it to the cloud for free with Streamlit Cloud streamlit.io/cloud
π Read How to Master Streamlit for #datascience
blog.streamlit.io/how-to-master-β¦
8/ Build good habits by starting the #66daysofdata challlenge
@KenJee_DS created this amazing initiative that encourages learners to share their learning journey with the community and gain social accountability
π 66 Days of Data Playlist youtube.com/playlist?list=β¦
@KenJee_DS created this amazing initiative that encourages learners to share their learning journey with the community and gain social accountability
π 66 Days of Data Playlist youtube.com/playlist?list=β¦
Thanks for reading until the end of this thread!
For more #datascience content, follow me on:
π YouTube (Data Professor) youtube.com/dataprofessor
π YouTube (Coding Professor) youtube.com/codingprofessor
π Medium data-professor.medium.com
π Newsletter newsletter.dataprofessor.org
For more #datascience content, follow me on:
π YouTube (Data Professor) youtube.com/dataprofessor
π YouTube (Coding Professor) youtube.com/codingprofessor
π Medium data-professor.medium.com
π Newsletter newsletter.dataprofessor.org
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