A Crash Course in Data Science

Start Date: 03/07/2021

Course Type: Common Course

Course Link: https://www.coursera.org/learn/data-science-course

About Course

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT

Course Syllabus

This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.

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Course Introduction

A Crash Course in Data Science This course will take you through the fundamental elements of data science with an emphasis on crash testing. In the first part of the class you will use Python to perform crash-testing of your own program. In the second part of the class you will learn the foundational concepts of data science along with the tools you need to use to analyze your crash data and create informative reports. As a participant you will: - Watch videos that demonstrate basic Python data science techniques - Learn Python programming and data analysis techniques - Understand basic statistical concepts - Create crash tests We hope that you will enjoy the course and invite you to share your own experiences in data science. Good luck as you get started! The Python Crash Course TeamWelcome Introduction to Python Data Structures Explicit Data Analysis Applying Machine Learning Models in Data Science In this course you will build on the deep understanding of data science models and techniques, while also applying your skills in machine learning algorithms, linear models, and neural networks. You will apply these techniques in a variety of popular datasets, such as those from social networks, industry, and scientific datasets. This course also extends beyond the surface-level datasets by including deep neural networks used in medical diagnosis, image recognition, and speech recognition. These techniques are useful in many applications, including image captioning, machine translation, and natural language processing.Week

Course Tag

Data Science Data Analysis Machine Learning Project

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