DataTrail (The Course)
Course Info
This course includes 1 attempt.
DataTrail is a no-cost, paid 14-week educational initiative for young-adult, high school and GED-graduates. DataTrail aims to equip members of underserved communities with the necessary skills and support required to work in the booming field of data science.
DataTrail is a fresh take on workforce development that focuses on training both Black, Indigenous, and other people of color (BIPOC) interested in the data science industry and their potential employers.
Offered by the Johns Hopkins Bloomberg School of Public Health, in partnership with local non-profits and Leanpub, DataTrail combines a mutually-intensive learning experience (MILE) with a whole-person ecosystem of support to allow aspiring data scientists and their employers to succeed.
Course Material
- About this Course
- 1 Intro: Welcome to DataTrail
- Welcome to Data Science quiz3 attempts allowed
- 2 Pre DataTrail Survey
- 3 Finding Help
- Finding Help Quiz3 attempts allowed
- 4 Understanding Your Chromebook
- What is a Chromebook quiz3 attempts allowed
- 5 Working Offline vs Online
- Working Online vs Offline Quiz3 attempts allowed
- 6 Account Setup
- Accounts Setup quiz3 attempts allowed
- 7 Remote work and task management
- 8 Forming Questions
- 9 The Data Science Process
- Data Science Process Quiz3 attempts allowed
- 10 Types of Data Science Questions
- Types of Data Science Questions Quiz3 attempts allowed
- 11 How to Learn
- How to Learn3 attempts allowed
- 12 RStudio and Projects
- RStudio Cloud Projects quiz3 attempts allowed
- RStudio Cloud Projects Swirl3 attempts allowed
- 13 Your First Data Science Project
- 14 Getting Data
- 15 What is R
- What is R Quiz3 attempts allowed
- 16 Objects in R
- Objects in R Quiz3 attempts allowed
- Objects in R Swirl3 attempts allowed
- 17 Working with Logicals
- Working with Logicals Quiz3 attempts allowed
- Working with Logicals Swirl3 attempts allowed
- 18 Data Frames
- Data Frames quiz3 attempts allowed
- Data Frames Swirl3 attempts allowed
- 19 Basic Commands in R
- Basic Commands in R quiz3 attempts allowed
- Basic Commands in R Swirl3 attempts allowed
- 20 Getting Help in R
- Getting Help in R quiz3 attempts allowed
- 21 Managing Files
- Managing Files Quiz3 attempts allowed
- Managing Files Swirl3 attempts allowed
- 22 R Packages
- Packages quiz3 attempts allowed
- Packages Swirl3 attempts allowed
- 23 R Markdown
- R Markdown/Markdown quiz3 attempts allowed
- 24 Dataset File Types
- Data Files Quiz3 attempts allowed
- Data Files Swirl3 attempts allowed
- 25 Finding Data
- 26 Ethical Data Science
- Ethical Data Science quiz3 attempts allowed
- 27 Google Documents
- Google Sheets and Docs quiz3 attempts allowed
- 28 Getting Data Project
- 29 Cleaning Data
- 30 What is Tidy Data
- Tidy Data quiz3 attempts allowed
- 31 Reshaping Data
- Reshaping Data Quiz3 attempts allowed
- Reshaping Data Swirl3 attempts allowed
- 32 How to Tidy Data
- Tidying Data quiz3 attempts allowed
- Tidying Data Swirl3 attempts allowed
- 33 Joining Data
- Joining Data Quiz3 attempts allowed
- Joining Data Swirl3 attempts allowed
- 34 Working with Strings
- Working with Strings Quiz3 attempts allowed
- Working with Strings Swirl3 attempts allowed
- 35 Working with Factors
- Working with Factors quiz3 attempts allowed
- Working with Factors quiz3 attempts allowed
- 36 Working with Dates
- Working with Dates quiz3 attempts allowed
- Working with Dates Swirl3 attempts allowed
- 37 Project Organization
- Setting Up Data Science Project Folders quiz3 attempts allowed
- 38 Cleaning Data Project
- 39 Plotting Data
- 40 Good Plots
- Good Plots quiz3 attempts allowed
- 41 Introduction to ggplot2
- Introduction to ggplot2 quiz3 attempts allowed
- Introduction to ggplot2 Swirl3 attempts allowed
- 42 Customization in ggplot2
- Customization in ggplot2 Quiz3 attempts allowed
- Customization in ggplot2 Swirl3 attempts allowed
- 43 Saving Plots
- Saving Plots quiz3 attempts allowed
- 44 From Exploratory to Explanatory
- From Exploratory To Explanatory quiz3 attempts allowed
- 45 Data Tables
- Data Tables Quiz3 attempts allowed
- 46 Tables in R
- Tables In R quiz3 attempts allowed
- Tables In R Swirl3 attempts allowed
- 47 Multiple Plots in R
- Multiple Plots Quiz3 attempts allowed
- 48 Advanced Data Visualization
- Advanced Data Visualization Quiz3 attempts allowed
- 49 Plotting Data Project
- 50 Getting Statistics
- 51 Translating Questions to Data Science Questions
- Translating Questions quiz3 attempts allowed
- 52 Identifying Data
- Identifying Data quiz3 attempts allowed
- 53 In Practice Using Stats
- Stats in Practice quiz3 attempts allowed
- 54 Descriptive Analysis
- Descriptive Analysis quiz3 attempts allowed
- Descriptive Analysis Swirl3 attempts allowed
- 55 Exploratory Analysis
- Exploratory Analysis quiz3 attempts allowed
- Exploratory Analysis Swirl3 attempts allowed
- 56 Inference: Overview
- Inferential Analysis quiz3 attempts allowed
- 57 Inference: Linear Regression
- Linear Regression Quiz3 attempts allowed
- Linear Regression swirl3 attempts allowed
- 58 Inference: Examples
- Inference Examples Quiz3 attempts allowed
- Inferential Analysis swirl3 attempts allowed
- 59 Inference: Multiple Regression
- Multiple Regression quiz3 attempts allowed
- 60 Prediction and Machine Learning
- Prediction & Machine Learning quiz3 attempts allowed
- 61 Stats Project
- 62 Sharing Results
- 63 Reproducibility
- Reproducibility Quiz3 attempts allowed
- 64 Version Control
- Version Control quiz3 attempts allowed
- 65 GitHub
- GitHub quiz3 attempts allowed
- 66 Creating a Repository
- Creating A Repository Quiz3 attempts allowed
- 67 Cloning a Repository
- Cloning A Repository Swirl3 attempts allowed
- Cloning A Repository Quiz3 attempts allowed
- 68 Pushing and Pulling Changes
- Pushing and Pulling Changes quiz3 attempts allowed
- 69 Organization with Issues on GitHub
- Organization with Issues on GitHub quiz3 attempts allowed
- 70 Setting Up a Project on GitHub
- Setting Up A Project on GitHub quiz3 attempts allowed
- 71 Pull Requests
- Pull Requests Quiz3 attempts allowed
- 72 Version Control Help
- Version Control Help Quiz3 attempts allowed
- 73 Types of Communication
- Types of Communication quiz3 attempts allowed
- 74 Data Science Reports
- Data Science Reports Quiz3 attempts allowed
- 75 Google Slides
- Google Slides quiz3 attempts allowed
- 76 How to Give a Presentation
- How To Give a Presentation quiz3 attempts allowed
- 77 Projecting from a Chromebook
- Projecting from a Chromebook quiz3 attempts allowed
- 78 How to Present to a General Audience
- How To Present to a General Audience quiz3 attempts allowed
- 79 How to Present to a Technical Audience
- How To Present to a Technical Audience quiz3 attempts allowed
- 80 How to Write a Blog Post
- How To Write a Blog Post quiz3 attempts allowed
- 81 Participating in Meetings
- Participating in Meetings quiz3 attempts allowed
- 82 How to Have a One-on-One Meeting
- How To Have a One-on-One Meeting quiz3 attempts allowed
- 83 GitHub and Final Data Project
- 84 Building Resumes
- 85 Resumes
- Resumes quiz3 attempts allowed
- 86 Cover Letters
- Cover Letters quiz3 attempts allowed
- 87 Make Your Own Website
- Making Your Website More Professional quiz3 attempts allowed
- 88 Project Gallery
- Project Gallery quiz3 attempts allowed
- 89 Improving Your GitHub Profile
- Improving Your GitHub Profile Quiz3 attempts allowed
- 90 Improving Your LinkedIn Profile
- Improving Your LinkedIn Profile quiz3 attempts allowed
- 91 Using Twitter for Data Science
- Using Twitter For Data Science quiz3 attempts allowed
- 92 Data Science Job Descriptions
- Data Science Job Descriptions quiz3 attempts allowed
- 93 Where to Look for Data Science Jobs
- Where To Look for Data Science Jobs quiz3 attempts allowed
- 94 Where to Find Remote Data Science Jobs
- Where To Find Remote Data Science Jobs quiz3 attempts allowed
- 95 Data Science Interviews
- Data Science Interviews Quiz3 attempts allowed
- 96 Data Science Meetups
- Data Science Meetups quiz3 attempts allowed
- 97 Create Your Portfolio
- 98 Post DataTrail Survey
- About the Authors
Instructors
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