Bootcamp Introduction and Overview — Data Science and Machine Learning Bootcamp

Data Science and Machine Learning Bootcamp

OverviewData Science and Machine Learning Bootcamp LessonBootcamp Introduction and Overview 1.1Python Programming Fundamentals 1.2Next Steps with Python Assignment 0Python Basics PracticeAssignment 1Sudoku Solver in Python2.1Introduction to Probability2.2Measures of Central TendencyAssignment 6Statistics & Probability Practice1.3Web Scraping and REST APIs2.3Counting Techniques and Random VariablesProject 1Web Scraping with Python1.4Local Development with Conda & Git2.4Hypothesis Testing and Statistical SignificanceAssignment 3Evaluating A/B TestsLessonPython Programming Course Review1.6Documentation and StorytellingLessonWorkshop - How to Write a Data Science Blog PostWorkshopWeb Scraping with Selenium & AWS3.1Numerical Computing with NumpyAssignment 4Exploring Numpy Functions3.2Analyzing Tabular Data with Pandas4.1Visualization with Matplotlib and SeabornAssignment 5Pandas Data Analysis Practice3.3Advanced Data Analysis Techniques4.2Interactive Visualization with Plotly & FoliumAssignment 6Data Analysis & Visualization Practice4.3Exploratory Data Analysis Case StudyLessonData Analysis Course ReviewProject 2Exploratory Data AnalysisLessonObject Oriented Programming with PythonLessonData Visualization Course ReviewLessonWorkshop - How to Present Your Data Science ProjectsLesson5.1 Linear Regression with Scikit-Learn6.1Relational Databases and SQLLesson5.2 Logistic Regression for ClassificationAssignment 7Train Your First ML Model6.2Aggregation and Joins with SQLAssignment 8SQL Querying PracticeLesson5.3 Decision Trees and Random ForestsAssignment 9Decision Trees and Random Forests6.3Data Analysis and Visualization with ExcelLessonHow to Approach Machine Learning ProblemsLessonTableau for Visualization & DashboardsAssignment 10Excel and Tableau PracticeLesson5.5 Gradient Boosting Machines with XGBoost6.5Introduction to Product AnalyticsAssignmentProject 3 - Machine Learning with Python5.6Unsupervised Machine Learning using Scikit-LearnLessonWorkshop - Machine Learning Project from ScratchLessonData Science & Machine Learning Bootcamp RecapLessonCareer Readiness Training Overview7.1Researching Data Science Job Roles6.2Crafting a Job Winning ResumeLessonAMA - Aakanksha N S, ML Engineer at SnapAssignment 11Write Your Data Science Resume(s)7.3Building Your Professional ProfileLessonPreparing for Data Science InterviewsLessonAMA - Aditya Prasad, Principal Data Scientist at Dream11Assignment 12Improve Your Professional Profiles7.5Applying for Jobs the Right Way7.6Finding Part-Time and Freelance WorkLessonAMA - Kartik Godawat, Founder & ML Consultant, DeepKlarity Assignment 13Cold Emails and Cover Letter7.7Rejection, Feedback and ImprovementLessonMock Interview and Graduation DayLessonAMA - Nishant Poddar, Data Engineer at SolitaAssignment 14Hiring Profile Presentation & VideoAssignmentData Science Mock Interview6.6Window Functions in SQL6.7Advanced Topics in SQLLessonWeb Development with PythonLessonDatabase-Driven Web ApplicationsLessonHow to Finish ProjectsAssignmentAdvanced SQL PracticeLessonSolving Programming ChallengesLessonRecommendations using Collaborative FilteringLessonDashboarding with Power BILessonDeploying a Machine Learning ModelAssignmentBusiness Case StudyLessonSolving SQL Challenges