Bootcamp Introduction and Overview

Data Science and Machine Learning Bootcamp

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 Deploying a Machine Learning Model Assignment - Business Case Study Lesson - Solving SQL Challenges

aakashns/bootcamp-introduction-and-overview-jan2022

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