5 days LIVE | Mentored by Industry-Expert | Hands-On Certified Bootcamp
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In the 5 Day Data Science Workshop, you will attend LIVE sessions with your mentor. The structure will be code-along, a mix of hands-on coding, concept onboarding, and walkthroughs. By the end of 5th Day you will have a social presence among your recruiters. You can join at any time and get instant access to the upcoming batch and receive timely invites to attend sessions.
What we offer:
- 8.5 hours of online training across 5 live mentor sessions
- 1 Industry-relevant Capstone project on Kaggle
- Certificate of Completion
- Bonuses for free
- Cohort learning & networking - collaborative learning along individuals with similar ambitions & interests
We will not leave you just with the 5 Days of LIVE learning. By the end of this workshop we will give you a Toolkit for your journey in Data Science.
- Get 10 Jupyter Notebooks consisting of industry relevant models based on available datasets, delivered in your inbox - Delivered 1 per week. Beginner friendly yet an in-depth level of execution.
- Access to Data Science Toolkit - 30+ course modules to keep you on track after course completion.
- Community access - Experience the motivation around you on our channel. After all, we learn the most through our peers.
- 30 Day Data Science Study Plan. What are you going to do over the next 30 days? Day by Day plan. Daily Goals. Stretch Goals and revision plans..
- Step-by step direction on how you should spend the first 20 hrs learning this new skill DIY.
Capstone Project in a nutshell:
Predict house prices and trends based on real-life features and parameters for a real-estate agency.
Day 1 - Setting Up
- Introduction to Zorba
- Introduction to Jupyter Notebook/Google Colab
- Problem Statement
- Understanding the stakeholders
- The Data Science Pipeline
- Environment Setup for Day 2
Day 2 - Data Cleaning, Preprocessing & Exploration
- Load and Prepare dataset
- Check Numeric & Categorical Features
- Check Missing Data
- Fill null values in continuous features
- Check for Class Imbalance
- Detect & treat outliers
- Univariate & Bivariate analysis of Categorical & continuous columns
Day 3 - Model Building and Insights
- Applying models on the data
- Function to Label Encode Categorical variables
- Fit Regression models
- Linear Regression
- Decision Tree Regressor
- Random Forest Regressor
- Feature Selection
- Grid-Search | Hyperparameter Tuning
- Prediction on the test data
Day 4 - Kaggle Showcase, Blogging and Presentation
- Presentation to the stakeholders
- Creating your first Project on Kaggle
- How to choose and build your portfolio projects?
- What are the ideal qualities of a portfolio project?
- How to showcase your portfolio projects to the world (and potential recruiters)?
- Live Q&A on Data Science
Day 5 - Interview Guides and Career Preparation
- Careers in Data Science
- Success Recipe for Data Science
- What does a Data Science Interview look like?
- Set you up for Data Science Learning beyond the 5 day workshop
- Recommended Books
- Tools to help you
- Build your Learning kit