putting spaces between # and text for new Github MD engine

Author: richarddunks

Data_Analytics_for_Managers.md

@@ -1,5 +1,5 @@
 <a id="top"></a>
-#Data Analytics for Managers
+# Data Analytics for Managers
 
 + [Summary](#summary)
 + [Target Audience](#target-audience)
@@ -10,31 +10,31 @@
 + [Exercise Descriptions](#exercise-descriptions)
 
 <a id="summary"></a>
-##Summary
+## Summary
 A one-day survey course of data analytics tools, techniques, and best practices aimed at managers and supervisors. The class involves a hands-on exercise with open data and is intended to build data literacy and familiarity with the analytics process, while also addressing the challenges and opportunities of doing more and better analysis in the context of city operations. 
 
-######[back to top](#top)
+######  [back to top](#top)
 
 <a id="target-audience"></a>
-##Target Audience
+## Target Audience
 Managers, supervisors, and team leaders with a need to better understand the analytics process, as well as the key tools and techniques to to bring data-driven insights to city operations.
 
-######[back to top](#top)
+######  [back to top](#top)
 
 <a id="course-overview"></a>
-##Course Overview
+## Course Overview
 This course introduces participants, especially managers and executives, to the concept of data-driven decision-making and management. Participants will learn how to better use data for setting goals and defining objectives, while identifying the proper metrics for those objectives and the elements of meaningful management dashboards. Participants will also learn how to assess the right analytical tools to manage projects, processes, and analytic staff within their departments.
 
-######[back to top](#top)
+######  [back to top](#top)
 
 <a id="goals"></a>
-##Goals
+## Goals
 + Discuss the data-driven decision making process
 + Explore the role of managers and analysts in the decision making process
 + Introduce useful terminology around data and the data analytics process
 + Get some hands-on experience analyzing data
 
-######[back to top](#top)
+######  [back to top](#top)
 
 <a id="key-takeaways"></a>
 ##Key Takeaways
@@ -43,10 +43,10 @@ This course introduces participants, especially managers and executives, to the
 + Participants will better understand the value of data, particularly open data
 + Participants will better understand the role of analysts and managers in the decision-making process
 
-######[back to top](#top)
+######  [back to top](#top)
 
 <a id="schedule"></a>
-##Schedule:
+## Schedule:
 + Introduction to Analysis and Problem Formulation (9:00 – 9:50) 
     + 5 primary types of analysis
 	    1. Quantifying needs
@@ -110,34 +110,34 @@ This course introduces participants, especially managers and executives, to the
 + Wrap-up discussion and course evaluations (4:40 – 5:00)
 + Dismissal (5:00)
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="exercise-descriptions"></a>
-##Exercise Descriptions
+## Exercise Descriptions
 <a id="exercise1"></a>
-###Exercise 1: Universal Prekindergarten
+### Exercise 1: Universal Prekindergarten
 + Task to participants
     + Given a background in the [expansion of Universal Prekindergarten in New York City](http://schools.nyc.gov/ChoicesEnrollment/PreK/default.htm), discuss in your groups what kind of analysis would be useful to the assigned area of concern (capacity, outreach, enrollment, monitoring, and evaluation), what concerns must be navigated, and how the management of the process can be best supported with data
 	+ Present the work of the group to the class
 + Desired outcomes
     + Participants will practice applying the fundamentals of problem formulation for data-driven decision making around a particular policy program issue
     + Participants will gain experience articulating business problems as they relate to policy programs with data
 
-######[back to schedule](#ex1) | [back to top](#top)
+###### [back to schedule](#ex1) | [back to top](#top)
 
 <a id="exercise2"></a>
-###Exercise 2: 311 Noise Complaints Exploratory Data Analysis
+### Exercise 2: 311 Noise Complaints Exploratory Data Analysis
 + Task to Participants
 	+ Follow along in a guided exercise exploring 311 Service Requests related to noise compliants in New York City
 + Desired outcomes
 	+ Participants will have practice performing simple analysis with open data
 	+ Participants will gain experience manipulating data in Excel, including formatting spreadsheets, using Pivottables, creating charts, and writing formulas
 
 
-######[back to schedule](#ex2) | [back to top](#top)
+###### [back to schedule](#ex2) | [back to top](#top)
 
 <a id="exercise3"></a>
-###Exercise 3: 311 Noise Complaints Question-Driven Analysis - Vision 0 (dB)
+### Exercise 3: 311 Noise Complaints Question-Driven Analysis - Vision 0 (dB)
 + Task to Participants
 	+ Given 311 noise complaint data, assist enforcement efforts by identifying NYC community districts that have a high volume of noise complaints and the time frame enforcement resources should be deployed to combat the noise issue at its peak
     + Identify the prevalent types of noise complaints in these areas to guide enforcement in each community district
@@ -146,4 +146,4 @@ This course introduces participants, especially managers and executives, to the
    + Participants will be more familiar with the tools of basic data analysis and understand the types of questions that can be answered with data
 
 
-######[back to schedule](#ex3) | [back to top](#top)
+###### [back to schedule](#ex3) | [back to top](#top)

Excel_Tools_Summarizing_Data.md

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 <a id="top"></a>
-#Excel Tools: Summarizing Data
+# Excel Tools: Summarizing Data
 
 + [Summary](#summary)
 + [Target Audience](#target-audience)
@@ -10,42 +10,42 @@
 + [Exercise Descriptions](#exercise-descriptions)
 
 <a id="summary"></a>
-##Summary
+## Summary
 A one-day course exploring the use of Microsoft Excel to quickly and correctly summarize data for making decisions in the context of city operations. The course involves hands-on practice with open data and applications of key features of Excel for clear, concise, and actionable insights from the wealth of data collected by city agencies.
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="target-audience"></a>
 ##Target Audience
 Managers, supervisors, and team leaders with a need to leverage basic and advanced features of Excel for extracting meaning from data, as well as communicating those findings in a clear and concise way for key decision makers.
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="course-overview"></a>
-##Course Overview
+## Course Overview
 This course will address one of the greatest challenges managers face today: making sense of the data they already have.  Being able to quickly and efficiently summarize and analyze data is essential to making better business decisions.  Using Excel 2010, participants will be taught some of the most effective techniques in summarizing and displaying data to extract actionable intelligence quickly and accurately.  
 
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+###### [back to top](#top)
 
 <a id="goals"></a>
-##Goals
+## Goals
 + Provide hands-on experience using Excel to clean and summarize data, including useful tips and tricks to working with city data
 + Cover best practices when analyzing and visualizing data
 + Introduce advanced functionality within Excel as it relates to summarizing data
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="key-takeaways"></a>
-##Key Takeaways
+## Key Takeaways
 + Participants will be more proficient using Excel for cleaning, analyzing, and visualizing data
 + Participants will have a better understanding of the analytics process
 + Participants will be familiar with Excel functions and other advanced features of Excel for analyzing data
 + Participants will be familiar with fundamental best practices for visualizing data in Excel
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="schedule"></a>
-##Schedule
+## Schedule
 + Introduction to Excel (9:00 - 9:50) - Objective: Load data into Excel and format it properly
     + Overview of Excel
     + Excel shortcuts
@@ -87,12 +87,12 @@ This course will address one of the greatest challenges managers face today: mak
     + Demonstration of data sources for exercise
 + Course Evaluations and Dismissal (4:30 - 5:00)
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="exercise-descriptions"></a>
-##Exercise Descriptions
+## Exercise Descriptions
 <a id="exercise1"></a>
-###Exercise 1: Explore 311 Service Requests by borough to find patterns
+### Exercise 1: Explore 311 Service Requests by borough to find patterns
 + Task to participants
     + In small groups, explore the complaints for your assigned borough
     + What are the common types of complaints?
@@ -103,15 +103,15 @@ This course will address one of the greatest challenges managers face today: mak
     + Participants will be familiar with the basic steps in exploratory data analysis 
     + Participants will demonstrate basic proficiency with Excel
 
-######[back to schedule](#ex1) | [back to top](#top)
+###### [back to schedule](#ex1) | [back to top](#top)
 
 <a id="exercise2"></a>
-###Exercise 2: Vision Zero (dB)
+### Exercise 2: Vision Zero (dB)
 + Task to participants
     + Given 311 noise complaint data, assist enforcement efforts by identifying community districts that have a high volume of noise complaints and the time frame enforcement resources should be deployed to combat the noise issue at its peak
     + Identify the prevalent types of noise complaints in these areas to guide enforcement in each community district
 + Desired outcomes
     + Participants will be familiar with the analytics process, using NYC-specific data to make policy and program decisions 
     + Participants will be more familiar with the tools of basic data analysis and understand the types of questions that can be answered with data
 
-######[back to schedule](#ex2) | [back to top](#top)
+###### [back to schedule](#ex2) | [back to top](#top)

Introduction_Open_Data.md

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 <a id="top"></a>
-#Introduction to Open Data
+# Introduction to Open Data
 
 
 + [Summary](#summary)
@@ -10,45 +10,45 @@
 + [Schedule](#schedule)
 
 <a id="summary"></a>
-##Summary
+## Summary
 A half-day course covering the basics of open data, it’s key features, and how it enables government to better meet the needs of citizens. Includes a hands-on analysis exercise.
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="target-audience"></a>
-##Target Audience
+## Target Audience
 City employees and other key stakeholders who wish to know more about open data, including key features and issues in making data available to the public.
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="course-overview"></a>
-##Course Overview
+## Course Overview
 As the primary users of open data, city employees often have questions about the uses and issues around open data. With the growing trend towards making an ever-increasing amount of data available to the public, it's important city employees at all levels understand the opportunities and challenges of open data. This course introduces participants to the idea and practice of open data with a discussion of the history of open data, the nature of open data, examples of how open data has been used to help cities be more responsive to their citizens, and examples when open data has been abused. The course offers city employees the opportunity to ask questions about open data, explore open data portals, and get hands-on experience working with open data in a basic exercise.
 
 
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+###### [back to top](#top)
 
 <a id="goals"></a>
-##Goals 
+## Goals 
 + Discuss the history of open data
 + Discuss the main elements of open data
 + Discuss important tools when working with open data
 + Discuss meaningful uses of open data in city operations
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="key-takeaways"></a>
-##Key Takeaways
+## Key Takeaways
 + Participants will understand the definition of open data
 + Participants will be aware of key features of open data
 + Participants will understand key issues around open data, including security, privacy, and confidentiality
 + Participants will be familiar with how to access data in open data portals
 + Participants will have practice working with open data to answer operational problems
 
-######[back to top](#top)
+###### [back to top](#top)
 
 <a id="schedule"></a>
-##Schedule
+## Schedule
 + Welcome and Introduction
 + History of Open Data
 + Definition of Open Data
@@ -62,4 +62,4 @@ As the primary users of open data, city employees often have questions about the
 + Wrap-up and Course Evaluations
 + Dismissal
 
-######[back to top](#top)
+###### [back to top](#top)