5-week Data Science Bootcamp
A beginner-friendly Online Data Science Bootcamp for Data Science aspirants & enthusiasts - beginners & experts alike.
Our Alumni Work At
About this course
Contributors & Instructors
What you will learn?
Course Content
1. Week 0
11
6
Session: Introduction to Data Science and its applications by Admond Lee
Setting up Coding Environment
Python Basics and Intro to Data Types
Quiz 1
Lists and Tuples
Quiz 2
Loops and Range
Quiz 3
Conditional Statement and Dictionaries
Quiz 4
Functions, Methods and Packages
Quiz 5
Session: Fundamentals of Python and NumPy
Array, Vectors & Matrices
Notebook: Introduction to Numpy
Quiz 6
Session recap and NumPy practice
2. Week 1
11
3
Data Analysis & Pandas
Session: Diving Deep into Pandas
Notebook: Introduction to Pandas
Working with CSV files
Quiz 7
Data Visualization
Session: Data Visualization & Matplotlib
Notebook: Data Visualization
Additional Resources on Matplotlib & Seaborn
Quiz 8
EDA & Data Pre-processing
Session: EDA & Data Preprocessing
Assignment 1
Linear Algebra & Basic Statistics
3. Week 2
6
2
Descriptive Stats, Transformations & EDA
Notebook: EDA on Wine Dataset
Quiz 9
More on Statistics, Data Cleaning & EDA
The ABC of Machine Learning
Session: Data Pre-processing
Notebooks: Data Pre-processing
Quiz 10
4. Week 3
12
3
Session: Building your first ML model
Building Your First ML Model
Notebooks: Build your first ML model
Decision Tree
Quiz 11
Simple Linear Regression
Cost function
Notebook: Linear Regression
Session: Linear Regression & Types of ML Models
[Optional] Logistic Regression
Assignment 2
Session: Hands-on with Logistic Regression
Quiz 12
Session: Ensemble Models and Hyper-parameter Tuning
[Optional] Logistic Regression Intuition and Practice
5. Week 4
8
Session Prep & Multi-Class Logistic Regression
Session Notebook
Session: ML Model Evaluation, Cross Validation & Hyperparameter Tuning
Practice Exercise
Random Forest and Ensemble Models
Notebook: Random Forest Model
Bias and Variance Trade-off
Practice Exercise
6. Week 5
8
1
ML Concepts Recap
Notebook: Titanic Dataset - Optimization
Regression Algorithms
Classification Algorithms
Quiz 13
Feature Selection
Session: Feature Importance and Selection
Session Notebook: Ensemble Models
Assignment 3
7. Advance Topics - Optional
10
Session: Artificial Neural Network for Beginners
Session resources: ANN for Beginners
Session: Data Science for Cyber Security
Notebooks: Data Science for Cyber Security
Session: NLP Essentials
Notebooks: NLP Essentials
Session: Predictive model in R
Notebooks: Predictive model in R
Session: Introduction to Descriptive Statistics and Exploratory Data Analysis
Notebooks: Introduction to Descriptive Statistics and Exploratory Data Analysis
