< Head Start to Data Science with CSI SFIT/>

1. 🥰 Details of the workshop
2. 🤓 Prep for Prerequisites
3. 🤩 Workshop Resources

Whether you’re just learning to code or you’re a machine learning coder already, this workshop will help you develop your skills and advance your projects. Your first-class ticket to the most exciting career in data analysis!

This Virtual Crash Course features a series of lessons, real-world case studies, live coding and hands-on practice exercises carefully curated as a bootcamp for Data Science Beginners.

Leave your regressions behind 🙈 and Let's #makeIThappen with Data Science ⚡

Contents of the Workshop:

☑️ Domains in Data Science

☑️ Tools to train ML models

☑️ Numpy

☑️ Pandas

☑️ Matplotlib

☑️ Seaborn

☑️ Scikit-learn

☑️ 3 Hands-on Projects

Workshop Speakers:

Kaif Kohari Joint Tech Head'20

Shardul Shroff Tech Exec'20

Varun Patkar Tech Exec'20

If you don't know Python or are just a beginner, we recommend viewing these 💗 FREE 💗 resources:

• CSI SFIT Quick Python Guide
• CSI SFIT Beginners Guide to Python 101
• Python 4 hour Crash Course
• Python A-Z Course

👉 Google Colab Notebook Links:

1. Numpy Colab Notebook
2. Pandas Colab Notebook
3. Numpy Pandas Takeaway/Homework Notebook
4. Matplotlib
   1. Matplotlib Concepts Colab Notebook
   2. Matplotlib Exercise Colab Notebook
   3. Matplotlib Exercise Solutions Colab Notebook
5. Seaborn
   1. Seaborn Concepts Colab Notebook
   2. Seaborn Exercise Colab Notebook
   3. Seaborn Exercise Solutions Colab Notebook
6. Projects
   1. Linear Regression Notebook (1000 companies)
   2. Logistic Regression Notebook (Breast Cancer detection)
   3. K-Means Clustering Notebook

👉 Additional Resources:

• Data Science Resources by CSI SFIT

1. Clone repo and create a new branch: $ git checkout https://github.com/CSI-SFIT/Head-Start-to-Data-Science.
2. Make changes and test.
3. Submit Pull Request with comprehensive description of changes.

CSI SFIT Tech Team 2020 - 2021 :

• Chairperson: @Delicia Fernandes
• Joint Tech Head : @Kaif Kohari
• Tech Executive : @Shardul Shroff
• Tech Executive : @Varun Patkar