Introduction to Data Science Lecture Notes PDF

Introduction to Data Science Assoc.Prof. Amira Ibrahim Abdelatey  ✓ Be in time ✓ Be on your place ✓ Attendance ✓ Dress code ✓ Ethical Code 2  Your Grade Final Exams: – Final Exam according to Bylaws(50%) Midterm (20%) Project and class part...

Introduction to Data Science Assoc.Prof. Amira Ibrahim Abdelatey  ✓ Be in time ✓ Be on your place ✓ Attendance ✓ Dress code ✓ Ethical Code 2  Your Grade Final Exams: – Final Exam according to Bylaws(50%) Midterm (20%) Project and class participation: (20%) Oral Exam (10%) 3  Learning Strategies Class format: a mixture of lecture and in-class exercises/projects Series of in-class exercises/projects will give you a chance to start building your own project step by step with the technologies you learn along this term There will be a final project. 4 “Without data you're just another person with an opinion”, Edwards Deming Course Guide approximate! Sources of data Data Collection Data categorization “All about Data " Data quality Data acquisition Data cleaning Data aggregation Exploratory data analysis and Visualization Descriptive statistics “Statistics” Probability distributions No breaks?! Correlation between data "Machine Learning" Feature engineering Build machine learning model Final Project Hint Listen Understand Engage ASK Write down notes Data Science Must.. Thoughts? Getting to know… Python  Array, Matrix data manipulation and analysis Mathematics and data visualization optimization machine learning statistical graphics algorithms  Materials and Books 12