Phase 2 - Data Bootcamp II

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Course curriculum

1. Python Fundamentals Curriculum
2. Helpful Tips
3. test
1. A message from the instructor
2. Week 1 Learning Objectives
3. Getting Started
4. Your Coding Home
5. Your Journey to Programming Starts Here!
6. Variables as Tags
7. Names Are Important
8. Lets Do Some Math with Python
9. Working with Strings
10. Working with Strings (some more)
11. Leaving hints in your code (for your future self 😎)
12. Practice Problem
13. Week 1 Graded Quiz
14. Case Study
15. Case Study Submission
16. Individual Guided Project
17. Individual Project Submission Portal
18. Extra Project Resources
19. Weekly Survey
1. Message From Instructor
2. Week 2 Learning Objectives
3. Conditions and More Conditions 🤔
4. Making Decisions ↗️↘️↙️↖️
5. All about Containers - List Edition 📃
6. Containers: Tuple Edition
7. Containers: Sets Edition
8. Graded Quiz
9. Case Study
10. Case Study Submission Portal
11. Individual Guided Project
12. Individual Guided Submission Portal
13. Extra Project Resources
14. Weekly Survey
1. Message From Instructor
2. Week 3 Learning Objectives
3. Loops ➰➰➰
4. Dictionaries and Dictionary Methods Part 1
5. Dictionaries and Dictionary Methods Part 2
6. Functions
7. Libraries, Packages and Modules
8. Practice Problem
9. Practice Solution
10. Graded Quiz
11. Case Study
12. Case Study Submission Portal
13. Individual Guided Project
14. Individual Guided Project Submission Portal
15. Extra Project Resources
16. Weekly Survey
1. Week 4 Learning Objectives
2. Exceptions with Python
3. Case Study
4. Case Study Submission
5. Individual Guided Project
6. Individual Project Submission Portal
7. Weekly Survey
1. Message from the Instructor
2. Week 5 Learning Objectives
3. Intro to Numpy Arrays
4. Numpy Slicing and Boolean Selection
5. Universal Functions with Numpy (UFUNCs 😎)
6. Intro to Pandas Series
7. Pandas Series Indexing
8. Intro to Pandas DataFrame
9. Even More Pandas DataFrame 😎
10. Filtering and Indexing a Pandas DataFrame
11. Practice Problem
12. Practice Solution
13. Graded Quiz
14. Case Study
15. Case Study Submission
16. Individual Guided Project
17. Individual Project Submission
18. Extra Project Resource
19. Weekly Survey
1. Message from Instructor
2. Week 6 Learning objectives
3. Week 6 Jupyter File
4. Dealing with Missing Data with Pandas p1
5. Dealing with Missing Data with Pandas p2
6. Pivoting and Grouping Data with Pandas
7. Joining and Merging Data with Pandas
8. Joining and Merging Data with Pandas P2
9. Practice Problem
10. Practice Solution
11. Case Study
12. Case Study Submission Portal
13. Individual Guided Project
14. Individual Guided Project Submission Portal
15. Extra Project Resources
16. Weekly Survey
1. Message from the Instructor 🧑‍🏫
2. Week 6 Learning Objectives
3. Plotting a Series
4. Plotting with a Pandas DataFrame
5. Visualizing Data with Python's Matplotlib Library
6. Even more Visualizing with Seaborn
7. 🧑‍💻Working with Databases in Python - 1 🧑‍💻
8. 🧑‍💻 Working with Databases in Python - 2 🧑‍💻
9. 📈 Working with Timeseries Data in Python - 1 📉
10. 📈 Working with Timeseries Data in Python - 2 📉
11. What is an API - Simply Explained
12. 🧑‍💻 Working with APIs in Python - 1 🧑‍💻
13. 🧑‍💻 Working with APIs in Python - 2 🧑‍💻
14. Practice quiz
15. Graded Quiz
16. Case Study
17. Case Study Submission Portal
18. Individual Guided Project
19. Individual Guided Project Submission Portal
20. Extra Project Resource
1. Project Instructions
2. Project Structure
3. Task 1: Business Understanding
4. Task 2: Data Understanding
5. Using environment variables to hide database credentials in your notebook
6. Task 3: Data Understanding and Preparation
7. Task 4: Data Preparation & Analysis
8. Task 5: Data Analysis
9. Task 6: Data Analysis and Hypothesis Testing
10. Indian StartUp Project Weeks Quiz
1. Message from the Instructor
2. Week 10 Learning Objectives
3. Introduction To Machine Learning
4. Understanding Machine Learning 1
5. Understanding Machine Learning II
6. CRISP-DM Framework
7. Further Reading
8. CRISP-DM and Business Understanding
9. CRISP-DM - Data Understanding I
10. CRISP-DM and Data Understanding II
11. CRISP-DM Data Processing I
12. CRISP-DM Data Processing II
13. CRISP-DM and Data Processing III - Optional Lesson
14. CRISP-DM Modeling and Evaluation
15. Practice quiz
16. Week 10 Graded Quiz
1. Welcome Message
2. Week 11 Learning Objectives
3. Business Understanding & Data Understanding
4. Data Preparation & Modeling (Binary Classifier)
5. Modeling (Multiclass Classifier)
6. Evaluation
7. Practice Quiz
8. Graded Quiz
9. Project Submission Portal
1. Week 12 Learning Objectives
2. Natural Language Processing (NLP)
3. Basic Concepts in NLP
4. Popular Tools & Libraries for NLP
5. Useful Resources
6. Project Submission Portal
1. Week 13 Learning Objectives
2. Project Submission Portal
1. Project Instructions
2. Task: Business Understanding & Data Understanding
3. Data Loading
4. Dataset Splitting
5. EDA Principles & Tools
6. Select variables under threshold of NaN
7. Useful Resources
8. Project Submission Portal
1. Week 16 Learning Objectives
2. Setting up an Azure account and exploring the Azure Studio
3. AI Concepts and Azure AI services
4. Case Study

About this course

Free
169 lessons
18 hours of video content

Discover your potential, starting today

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Phase 2 - Data Bootcamp II

Course curriculum

Module 1 - Python Fundamentals

Week 1: Overview of Python

Week 2: Complex Data Structures and Operations with Python

Week 3: Dictionaries, Functions, Modules and Packages with Python

Week 4: Exceptions, Unit Testing, Object Oriented Programming with Python

Week 5: Working with Data in Python

Week 6: Loading and Exploring Data with Python I

Week 7: Loading and Exploring Data with Python II

Week 8 - 9: Explore the Dynamics of the Indian Startup Ecosystem and Analyze funding received by start-ups in India from 2018 to 2021

Week 10: Predictive Analytics with Python I - (Regression)

Week 11: Predictive Analytics with Python II - (Classification)

Week 12: Natural Language Processing With Python - (Classification)

Week 13: Image Recognition using Neural Network in Python - (Classification)

Week 14 & 15: Telco Customer Churn Prediction - (Classification)

Week 16: Introduction to AI Fundamentals

About this course

Discover your potential, starting today