Data Science Bootcamp

Prepare for a Data Science Career

What You Will Learn

• Python and R

  您将学习如何在数据科学中使用两种最广泛的编程语言创建数据分析工作流. You will learn the editors, IDEs, source code control systems, etc. used by Data Scientists.

• Data Science Toolkit

  您将学会使用与Python和R相关的最流行的库和包, e.g. pandas, scikit-learn, the tidyverse. You’ll learn to use RStudio and Jupyter Notebooks for writing code and documenting workflow.

• Data Science Process

  You’ll learn the project life-cycle of a typical data science project. You’ll learn how to identify the business question, how to create and refine your hypothesis, build models, test and iterate the analysis, and ultimately deploy the resulting data product and communicate the results.

• Managing and Curating Data

  You’ll learn the process of collecting, extracting, querying, cleaning, and aggregating data for analysis. You will apply the tools in both the Python and R toolkits to this process in multiple projects. 您将花时间讨论数据，理解数据质量问题，并学习如何清理数据. 您将使用各种数据源，从非结构化/半结构化文本文件到分隔/结构化文件格式，如excel, csv, json, xml etc. You’ll also learn about web scraping and working with APIs.

• Exploratory Data Analysis

  You will learn exploratory techniques for visualizing & summarizing data. These techniques are typically applied before formal modeling. 探索性技术对于消除或强化潜在的假设，以及识别数据中需要在建模之前解决的问题非常重要. We will cover plotting libraries (matplotlib, seaborn, ggplot2, etc.) as well as some of the basic principles of constructing data visualizations.

• SQL, Data Management & Big Data

  You’ll master the use of SQL to query relational databases. 还将介绍4种主要的NoSQL系统，并了解使用每种系统的利弊.
  
  You’ll be introduced to techniques for working with Big Data in a cloud environment.

• Machine Learning: Supervised Learning

  您将学习如何使用训练数据来开发有监督的机器学习模型，并将其应用于一系列不同的问题. Some of the concepts you’ll learn about include:
  • Cost Function
  • Overfitting/underfitting
  • Optimization techniques
  • Linear and logistic regression
  • Decision trees
  • Classification models
  • Recommender systems

• Machine Learning: Unsupervised Learning

  您将学习应用无监督机器学习算法来发现数据中的趋势和模式. You'll get familiar with:
  • Clustering methods, including K-Means and Affinity Propagation
  • PCA & Dimension Reduction
  • Anomaly Detection

• Natural Language Processing

  You will learn to extract meaning from text by applying techniques such as:
  • Tokenization
  • Topic identification
  • Named Entity Recognition
  • Text classification

• Data Visualization and Communication

  数据科学家的一个关键技能是向业务决策者和其他利益相关者展示他们的项目结果. 您将学习数据可视化的常用工具和技术，以及如何使用它们有效地交流数据和分析的情况.

• Real-World Projects

  您将能够将您正在学习的技能应用到现实世界的数据集和各种领域的问题, such as healthcare, financial services, entertainment, consumer marketing/retail, and government. 项目将主要在团队环境中执行，因此你将在一个多学科的项目团队中获得与他人合作的经验.
  
  你的顶点项目将是一个个人的努力，证明你有能力通过整个数据科学过程进行一个数据科学项目. 这个项目将向潜在的雇主展示你将在这门课程中学到的技能应用于现实世界问题的能力，并展示你的发现.

• Career Preparation

  Throughout the bootcamp you will also be preparing to move into a data science job. You’ll meet working data scientists from several industries. We’ll hold workshops on resume preparation/marketing yourself, interview preparation, negotiating, and more. 亚游平台会在你的课堂演示日将你介绍给未来的雇主，并在你毕业后的求职过程中为你提供支持.

• Schedule

  Tuesday, Thursday, Saturday T/Th: 6PM - 9:30PM | S: 9AM-2PM
• Location

  This class is remote.
  
• Dates

  September 14, 2021 - June 16, 2022
• Tuition

  $12,500
  See below for detailed information on payment options, including Opportunity Tuition, Payment Plans, and Financing.

Requirements

Student prerequisite knowledge/experience

• At least 18 years of age

• American citizen or legally able to work in the U.S.

• Ideal applicants will have experience in quantitative science or programming. 学生将被要求展示之前在数据科学中应用数学技能的培训和/或经验. In particular we will be looking for students with training in statistics/probability. This prior knowledge can be gained through classes, research project experience, work experience, and/or our Statistics for Data Science course.

Hardware/Software

• Personal laptop meeting our hardware requirements. See this blog post for full details of our laptop specs.

• 被录取的学生将被要求在上课前下载软件. 亚游平台不期望任何这样的软件会有成本，因为这门课将专注于使用开源技术教授数据科学.

感谢DataCamp通过其教育项目与亚游平台合作，支持亚游平台在数据科学训练营的学习. DataCamp is an interactive learning platform for data science. Their partnership provides our Data Science students access to their content in R, Python, and SQL on importing data, data visualization, machine learning, deep learning & more.

Tuition

There are two tuition plans: Standard Tuition or Nashville Tech Opportunity Tuition. 来自人数不足群体的学生也可获得数量有限的助学金和奖学金.