Course Description 

This 7-day intensive live bootcamp is designed to provide a comprehensive introduction to Data Science, from foundational concepts to hands-on practice with real-world applications. Participants will learn essential skills in data collection, preprocessing, exploratory data analysis, machine learning, and deep learning.

 

Topics Covered 

- Introduction to Data Science 

- Data Collection and Preprocessing 

- Exploratory Data Analysis (EDA) 

- Introduction to Machine Learning 

- Supervised Learning Algorithms 

- Unsupervised Learning Algorithms 

- Introduction to Deep Learning and Capstone Project

 

Outcomes 

By the end of the bootcamp, participants will: 

- Understand the basics of Data Science and its importance. 

- Be proficient in data collection, cleaning, and preprocessing techniques. 

- Gain skills in exploratory data analysis and visualization. 

- Learn and apply key machine learning algorithms. 

- Explore deep learning concepts and complete a sentiment analysis project.

 

Syllabus 

1. Day 1: Introduction to Data Science 

   - Basics, importance, and real-world applications. 

   - Data Science workflow and roles.

 

2. Day 2: Data Collection and Preprocessing 

   - Data collection methods, cleaning, and transformation.

 

3. Day 3: Exploratory Data Analysis (EDA) 

   - Descriptive statistics, visualization, and correlation analysis.

 

4. Day 4: Introduction to Machine Learning 

   - Machine learning types, key algorithms, and model evaluation.

 

5. Day 5: Supervised Learning Algorithms 

   - Deep dive into Decision Trees, SVM, and model tuning.

 

6. Day 6: Unsupervised Learning Algorithms 

   - Clustering techniques, PCA, and practical applications.

 

7. Day 7: Introduction to Deep Learning and Final Project 

   - Neural networks, TensorFlow, Keras, and sentiment analysis project.

Prerequisites 

- A mobile/laptop with an internet connection for hands-on sessions.