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Bootcamp Introduction and Overview
Jovian Data Science Bootcamp
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Course Home
1.1 Python Programming Fundamentals
1.2 Next Steps with Python
Assignment 0 - Python Basics Practice
Assignment 1 - Sudoku Solver in Python
2.1 Introduction to Probability
2.2 Measures of Central Tendency
Assignment 6 - Statistics & Probability Practice
1.3 Web Scraping and REST APIs
2.3 Counting Techniques and Random Variables
Project 1 - Web Scraping with Python
1.4 Local Development with Conda & Git
2.4 Hypothesis Testing and Statistical Significance
Assignment 3 - Evaluating A/B Tests
Python Programming Course Review
1.6 Documentation and Storytelling
Workshop - How to Write a Data Science Blog Post
Workshop - Web Scraping with Selenium & AWS
3.1 Numerical Computing with Numpy
Assignment 4 - Exploring Numpy Functions
3.2 Analyzing Tabular Data with Pandas
4.1 Visualization with Matplotlib and Seaborn
Assignment 5 - Pandas Data Analysis Practice
3.3 Advanced Data Analysis Techniques
4.2 Interactive Visualization with Plotly & Folium
Assignment 6 - Data Analysis & Visualization Practice
4.3 Exploratory Data Analysis Case Study
Data Analysis Course Review
Project 2 - Exploratory Data Analysis
Object Oriented Programming with Python
Data Visualization Course Review
Workshop - How to Present Your Data Science Projects
5.1 Linear Regression with Scikit-Learn
6.1 Relational Databases and SQL
5.2 Logistic Regression for Classification
Assignment 7 - Train Your First ML Model
6.2 Aggregation and Joins with SQL
Assignment 8 - SQL Querying Practice
5.3 Decision Trees and Random Forests
Assignment 9 - Decision Trees and Random Forests
6.3 Data Analysis and Visualization with Excel
How to Approach Machine Learning Problems
Tableau for Visualization & Dashboards
Assignment 10 - Excel and Tableau Practice
5.5 Gradient Boosting Machines with XGBoost
6.5 Introduction to Product Analytics
Project 3 - Machine Learning with Python
5.6 Unsupervised Machine Learning using Scikit-Learn
Workshop - Machine Learning Project from Scratch
Data Science & Machine Learning Bootcamp Recap
Career Readiness Training Overview
7.1 Researching Data Science Job Roles
6.2 Crafting a Job Winning Resume
AMA - Aakanksha N S, ML Engineer at Snap
Assignment 11 - Write Your Data Science Resume(s)
7.3 Building Your Professional Profile
Preparing for Data Science Interviews
AMA - Aditya Prasad, Principal Data Scientist at Dream11
Assignment 12 - Improve Your Professional Profiles
7.5 Applying for Jobs the Right Way
7.6 Finding Part-Time and Freelance Work
AMA - Kartik Godawat, Founder & ML Consultant, DeepKlarity
Assignment 13 - Cold Emails and Cover Letter
7.7 Rejection, Feedback and Improvement
Mock Interview and Graduation Day
AMA - Nishant Poddar, Data Engineer at Solita
Assignment 14 - Hiring Profile Presentation & Video
Data Science Mock Interview
6.6 Window Functions in SQL
6.7 Advanced Topics in SQL
Web Development with Python
Database-Driven Web Applications
How to Finish Projects
Assignment - Advanced SQL Practice
Solving Programming Challenges
Recommendations using Collaborative Filtering
Dashboarding with Power BI
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