# Bootcamp Introduction and Overview

### Jovian Data Science and Machine Learning Bootcamp

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Course Home1.1 Python Programming Fundamentals1.2 Next Steps with PythonAssignment 0 - Python Basics PracticeAssignment 1 - Sudoku Solver in Python2.1 Introduction to Probability2.2 Measures of Central TendencyAssignment 6 - Statistics & Probability Practice1.3 Web Scraping and REST APIs2.3 Counting Techniques and Random VariablesProject 1 - Web Scraping with Python1.4 Local Development with Conda & Git2.4 Hypothesis Testing and Statistical SignificanceAssignment 3 - Evaluating A/B TestsPython Programming Course Review1.6 Documentation and StorytellingWorkshop - How to Write a Data Science Blog PostWorkshop - Web Scraping with Selenium & AWS3.1 Numerical Computing with NumpyAssignment 4 - Exploring Numpy Functions3.2 Analyzing Tabular Data with Pandas4.1 Visualization with Matplotlib and SeabornAssignment 5 - Pandas Data Analysis Practice3.3 Advanced Data Analysis Techniques4.2 Interactive Visualization with Plotly & FoliumAssignment 6 - Data Analysis & Visualization Practice4.3 Exploratory Data Analysis Case StudyData Analysis Course ReviewProject 2 - Exploratory Data AnalysisObject Oriented Programming with PythonData Visualization Course ReviewWorkshop - How to Present Your Data Science Projects5.1 Linear Regression with Scikit-Learn6.1 Relational Databases and SQL5.2 Logistic Regression for ClassificationAssignment 7 - Train Your First ML Model6.2 Aggregation and Joins with SQLAssignment 8 - SQL Querying Practice5.3 Decision Trees and Random ForestsAssignment 9 - Decision Trees and Random Forests6.3 Data Analysis and Visualization with ExcelHow to Approach Machine Learning ProblemsTableau for Visualization & DashboardsAssignment 10 - Excel and Tableau Practice5.5 Gradient Boosting Machines with XGBoost6.5 Introduction to Product AnalyticsProject 3 - Machine Learning with Python5.6 Unsupervised Machine Learning using Scikit-LearnWorkshop - Machine Learning Project from ScratchData Science & Machine Learning Bootcamp RecapCareer Readiness Training Overview7.1 Researching Data Science Job Roles6.2 Crafting a Job Winning ResumeAMA - Aakanksha N S, ML Engineer at SnapAssignment 11 - Write Your Data Science Resume(s)7.3 Building Your Professional ProfilePreparing for Data Science InterviewsAMA - Aditya Prasad, Principal Data Scientist at Dream11Assignment 12 - Improve Your Professional Profiles7.5 Applying for Jobs the Right Way7.6 Finding Part-Time and Freelance WorkAMA - Kartik Godawat, Founder & ML Consultant, DeepKlarity Assignment 13 - Cold Emails and Cover Letter7.7 Rejection, Feedback and ImprovementMock Interview and Graduation DayAMA - Nishant Poddar, Data Engineer at SolitaAssignment 14 - Hiring Profile Presentation & VideoData Science Mock Interview6.6 Window Functions in SQL6.7 Advanced Topics in SQLWeb Development with PythonDatabase-Driven Web ApplicationsHow to Finish ProjectsAssignment - Advanced SQL PracticeSolving Programming ChallengesRecommendations using Collaborative FilteringDashboarding with Power BIDeploying a Machine Learning ModelAssignment - Business Case StudyLesson - Solving SQL Challenges

aakashns/bootcamp-introduction-and-overview

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