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<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no">
<title>#LGTI Data Course</title>
<!-- Google fonts -->
<link href='https://fonts.googleapis.com/css?family=Roboto&subset=latin,latin-ext' rel='stylesheet' type='text/css'>
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.1/css/font-awesome.min.css">
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<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa"
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<!-- animate.css -->
<link rel="stylesheet" href="./assets/css/animate.css">
<!-- favicon -->
<link rel="shortcut icon" href="./assets/images/favicon.png" type="image/x-icon">
<link rel="icon" href="./assets/images/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="./assets/css/style.css">
</head>
<body id="home" data-spy="scroll" data-target=".navbar" data-offset="50">
<!-- Header Starts -->
<div class="navbar-wrapper">
<div class="navbar navbar-default navbar-fixed-top" role="navigation" id="top-nav">
<div class="container">
<div class="navbar-header">
<!-- Logo Starts -->
<a class="navbar-brand" href="#" target="_blank">#LGTI Data Course</a>
<!-- #Logo Ends -->
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target=".navbar-collapse">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
</div>
<!-- Nav Starts -->
<div class="navbar-collapse collapse">
<ul class="nav navbar-nav navbar-right scroll">
<li class="active"><a href="#home">Home</a></li>
<li><a href="#about">About</a></li>
<li><a href="#data-fundamentals">Data Fundamentals</a></li>
<li><a href="#data-collection">Data Collection</a></li>
<li><a href="#datasets">Datasets</a></li>
<!--li><a href="#partners">Partners</a></li-->
<!--li><a href="#location">Resources</a></li-->
</ul>
</div>
<!-- #Nav Ends -->
</div>
</div>
</div>
<!-- #Header Starts -->
<div class="container">
<div class="wrapper">
<div class="banner">
<div class="overlay">
<!-- main banner-->
<h1 class="text-center">Local Government Training Institute Data Course</h1>
<!--h1 class="text-center">Dodoma, Tanzania</h1-->
<!-- main banner-->
<!--h3 class="text-center" >From 9h00 to 17h00, Tanzania Data Lab, University of Dar es Salaam Computing Centre, Dar es Salaam.<br> <a href="https://goo.gl/maps/qpRtwK4azwt" target="_blank">See location on map.</a></h3-->
<!-- service -->
<!--div class="service row text-center wowload fadeInDownBig animated" style="visibility: visible; animation-name: fadeInDownBig;">
<div class="col-sm-3 col-xs-6">
<i class="fa fa-calendar-check-o fa-4x"></i><h3>September 25-29</h3>
<h4>Dar es Salaam</h4>
<h5><a href="https://goo.gl/maps/qpRtwK4azwt" target="_blank">Map to the venue</a></h5>
</div>
<div class="col-sm-3 col-xs-6">
<i class="fa fa-flask fa-4x"></i><h3>Building the future of data literacy</h3>
<p>Members of the School of Data network gather for
peer-learning workshops and discussions about efficient strategies for pushing data literacy forward.</p>
</div>
<div class="col-sm-3 col-xs-6">
<i class="fa fa-rss fa-4x"></i><h3>Sharing our knowledge</h3>
<p>Participants from around the world get to learn from the data practitioners of the School of Data
network, in order to improve their own data skills.</p>
</div>
<div class="col-sm-3 col-xs-6">
<i class="fa fa-group fa-4x"></i><h3>Giving back to the community</h3>
<p>The event is an opportunity for our community to collaborate, improving our core resources for learners
and trainers.</p>
<h5><a href="#resources">See what we're working on</a></h5>
</div>
</div-->
<!-- service -->
</div>
</div>
<div id="about" class="about">
<div class="spacer">
<h2><i class="fa fa-info-circle"></i> About The Course</h2>
<div class="row">
<div class="col-sm-6 wowload fadeInLeft animated" style="visibility: visible; animation-name: fadeInLeft;">
<div id="carousel-about" data-ride="carousel">
<div class="col-sm-6 carousel-inner img-responsive" role="listbox">
<div class="item active"><img src="./assets/images/data.jpg" class="img-responsive"></div>
<div class="item"><img src="./assets/images/tanzania_open_data_portal.png" class="img-responsive"></div>
<div class="item"><img src="./assets/images/tanzania_open_education_dashboard.png" class="img-responsive"></div>
<div class="item"><img src="./assets/images/verbal_visual_communication.png" class="img-responsive"></div>
<div class="item"><img src="./assets/images/data_collection_pipeline.png " class="img-responsive"></div>
</div>
</div>
</div>
<div class="col-sm-6 wowload fadeInRight animated" style="visibility: visible; animation-name: fadeInRight;">
<p>School of Data designed and produced a modular curriculum to develop foundational
data skills for students and trainers of the Local Government Training Institute. This curriculum is broken
up into two different courses aimed at building basic data skills required for local government officers.
We included a prerequisite course on computer, web and spreadsheet literacy as the courses will require basic computer
proficiency in order to make effective use of the tools and resources introduced over the course of the programme.
The objective of the data fundamentals course is to develop the foundational data literacy skills
that will allow participants to walk through the <a href="https://schoolofdata.org/methodology/" target="_blank">
School of Data's Data Pipeline</a> given a specific data problem or question. We start to teach the basics of
data literacy using datasets from Tanzania as examples. In addition, we included a
specialisation course in data collection to allow participants with the skills required to design and implement a data
collection project or using available open source tools. Completing this specialisation would require
completion of the data fundamentals course or equivalent knowledge/experience.
A second specialisation on Geospatial Data may be added in the future. We took a hands-on and project-driven
approach for each course where a model problem will be introduced and tackled by:
<ol>
<li><h4>Exposing technical concepts</h4></li>
<li><h4>Practising via lab exercises</h4></li>
<li><h4>Working on self-selected or pre-defined group projects</h4></li>
</ol>
</div>
</div>
</div>
</div>
<!-- Data Fundamentals -->
<div id="data-fundamentals" class="works">
<div class="row">
<div class="col-sm-12" style="visibility: visible; animation-name: fadeInLeft;">
<div class="spacer-prog">
<h2><i class="fa fa-calendar"></i> Data Fundamentals</h2>
<div class="project-name">
<ul class="nav nav-pills scroll">
<!--li class="active"><a href="#learning-resources" data-toggle="pill" class="btn">Data Manuals</a></li>
<li><a href="#t1" data-toggle="pill" class="btn">Lab Exercises</a></li>
<li><a href="#t2" data-toggle="pill" class="btn">Additional Resources</a></li-->
</ul>
<div id="timeline">
<!-- Manual 1 -->
<div class="timeline-item">
<div class="timeline-icon">
<i class="fa fa-book fa-2x" span style="color:#fff; margin-left:14px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<h2>Manual 1: Introduction To Computer, Web and Spreadsheet Basics</h2>
<p>This module introduces the learner to the basics of computers, the Web and
spreadsheets which will service as fundamental tools for the data course. Anyone
reading this today understands the value that computers place in our day-to-day work
and it only makes sense that anyone working with data is comfortable with the basics of
using a computer. Besides, most data you will interact with today is either collected,
analysed or stored on a computer, which makes it a critical tool to master. There is a
wide spectrum of knowledge and skills that can be learned when dealing with a
computer. However, you only need to know the basics to start leveraging the powerful
features it provides to work with data.<br><br>
<b><a href="./manuals/introduction_to_computer_web_and_spreadsheet_basics.pdf" target="_blank">Introduction
To Computer, Web
and Spreadsheet Basics</a></b></p>
</div>
</div>
<!-- Manual 2 -->
<div class="timeline-item">
<div class="timeline-icon">
<i class="fa fa-book fa-2x" span style="color:#fff; margin-left:14px; margin-top:10px"></i>
</div>
<div class="timeline-content right">
<h2>Manual 2: Introduction To Data</h2>
<p>This module introduces data by providing a common understanding of what
constitutes data and why it is of such value to local government professionals. It
then provides some examples of data from simple, intermediate to advanced
types including the opportunities and limitations that data presents. The
following lessons explore different types of data access with a focus on defining
open data and examples. An exploration of why open data is be a crucial
component of the work of local government officials in Tanzania is further
developed with an understanding of the common terms and concepts learners
should be familiar with when working with open data. Finally, this module ends
with an overview of the School of Data Pipeline, a framework that makes it easy
to work through various stages to generate useful insights or products from
data.<br><br>
<b><a href="./manuals/introduction_to_data.pdf" target="_blank">
Introduction To Data</a></b></p>
</div>
</div>
<!-- Manual 3 -->
<div class="timeline-item" id="t1">
<div class="timeline-icon">
<i class="fa fa-book fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<h2>Manual 3: Defining, Finding & Getting Data</h2>
<p>In this module, we will begin to dive deeper into the concepts, techniques and
tools used in the first 3 stages of the Data Pipeline. Learners will go through how
to properly define the relevant scope of the question(s) they want to gain
insights into and learn about where they can find that data. Once this data has
been identified, it can be a simple process of just clicking to acquire the data or a
tedious process of having to convert the data into the proper structured format.<br><br>
<b><a href="./manuals/defining_finding_and_getting_data.pdf" target="_blank">Defining, Finding
& Getting Data</a></b></p>
</div>
</div>
<!-- Lab 1 -->
<div class="timeline-item" id="t1">
<div class="timeline-icon">
<i class="fa fa-flask fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<a href="./labs/data_fundamentals_lab1_scraping_data_from_pdfs.pdf" target="_blank">
<h2>Lab 1: Scraping Data From PDFs</h2>
</a>
</div>
</div>
<!-- Lab 2 -->
<div class="timeline-item" id="t1">
<div class="timeline-icon">
<i class="fa fa-flask fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<a href="./labs/data_fundamentals_lab2_scraping_data_from_the_web.pdf" target="_blank">
<h2>Lab 2: Scraping Data From The Web</h2>
</a>
</div>
</div>
<!-- Manual 4 -->
<div class="timeline-item">
<div class="timeline-icon">
<i class="fa fa-book fa-2x" span style="color:#fff; margin-left:14px; margin-top:10px"></i>
</div>
<div class="timeline-content right">
<h2>Manual 4: Verifying, Cleaning & Analysing Data</h2>
<p>In this module, we will delve into what to do the gain more confidence in the data you are
working
with (verifying). This is then followed by technique to clean up your data and get it into a
format that is easier to work
with and accessed by others working on the dataset in the future as well as different systems
(cleaning).
Once we are done with cleaning the data, we will learn various techniques using spreadsheet
features to analysed
our dataset to gain the insights we are interested in. <br><br>
<b><a href="./manuals/verifying_cleaning_and_analysing_data.pdf" target="_blank">Verifying,
Cleaning & Analysing Data</a></b></p>
</div>
</div>
<!-- Lab 3 -->
<div class="timeline-item" id="t1">
<div class="timeline-icon">
<i class="fa fa-flask fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<a href="./labs/data_fundamentals_lab3_data_cleaning.pdf" target="_blank">
<h2>Lab 3: Data Cleaning</h2>
</a>
</div>
</div>
<!-- Lab 4 -->
<div class="timeline-item" id="t1">
<div class="timeline-icon">
<i class="fa fa-flask fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<a href="./labs/data_fundamentals_lab4_calculate_sums_rates_and_percentages_in_spreadsheets.pdf"
target="_blank">
<h2>Lab 4: Data Calculate Sums, Rates & Percentages</h2>
</a>
</div>
</div>
<!-- Lab 5 -->
<div class="timeline-item" id="t1">
<div class="timeline-icon">
<i class="fa fa-flask fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<a href="./labs/data_fundamentals_lab5_calculating_averages_and_percentages_changes.pdf" target="_blank">
<h2>Lab 5: Calculating Averages & Percentage Changes</h2>
</a>
</div>
</div>
<!-- Lab 6 -->
<div class="timeline-item" id="t1">
<div class="timeline-icon">
<i class="fa fa-flask fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<a href="./labs/data_fundamentals_lab6_exploring_data_in_larger_datasets.pdf" target="_blank">
<h2>Lab 6: Exploring Data In Larger Datasets</h2>
</a>
</div>
</div>
<!-- Lab 7 -->
<div class="timeline-item" id="t1">
<div class="timeline-icon">
<i class="fa fa-flask fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<a href="./labs/data_fundamentals_lab7_exploring_data_with_pivot_table.pdf" target="_blank">
<h2>Lab 7: Exploring Data With Pivot Tables</h2>
</a>
</div>
</div>
<!-- Manual 5 -->
<div class="timeline-item">
<div class="timeline-icon" id="t2">
<i class="fa fa-book fa-2x" span style="color:#fff; margin-left:14px; margin-top:10px"></i>
</div>
<div class="timeline-content right">
<h2>Manual 5: Presenting Data</h2>
<p>In this module, you will learn the basics of effective communication with data
visualisation. You will learn how the human brain is adapted for understanding data
through visualisation and what effective sensory engagement looks like. This module
will also introduce principles to matching data types to graphical forms for effective
communication, basic design principles and data visualisation ethics. Students will
learn to redesign data visualisations with this new knowledge. Most importantly this
section is about conveying knowledge and information through visual stories, not just
dry statistics.<br><br>
<b><a href="./manuals/presenting_data.pdf" target="_blank">Presenting Data</a></b></p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Data Collection -->
<div id="data-collection" class="works">
<div class="row">
<div class="col-sm-12" style="visibility: visible; animation-name: fadeInLeft;">
<div class="spacer-prog">
<h2><i class="fa fa-calendar"></i> Data Collection</h2>
<div class="project-name">
<ul class="nav nav-pills scroll">
<!--li class="active"><a href="#learning-resources" data-toggle="pill" class="btn">Data Manuals</a></li>
<li><a href="#t1" data-toggle="pill" class="btn">Lab Exercises</a></li>
<li><a href="#t2" data-toggle="pill" class="btn">Additional Resources</a></li-->
</ul>
<div id="timeline">
<!-- Manual 1 -->
<div class="timeline-item">
<div class="timeline-icon">
<i class="fa fa-book fa-2x" span style="color:#fff; margin-left:14px; margin-top:10px"></i>
</div>
<div class="timeline-content">
<h2>Manual 1: Preparing A Data Collection Project</h2>
<p>This module introduces the learner to the basics of computers, the Web and
spreadsheets which will service as fundamental tools for the data course. Anyone
reading this today understands the value that computers place in our day-to-day work
and it only makes sense that anyone working with data is comfortable with the basics of
using a computer. Besides, most data you will interact with today is either collected,
analysed or stored on a computer, which makes it a critical tool to master. There is a
wide spectrum of knowledge and skills that can be learned when dealing with a
computer. However, you only need to know the basics to start leveraging the powerful
features it provides to work with data.<br><br>
<b><a href="./manuals/preparing_a_data_collection_project.pdf" target="_blank">
Preparing A Data Collection Project</a></b></p>
</div>
</div>
<!-- Lab 1 -->
<div class="timeline-item">
<div class="timeline-icon">
<i class="fa fa-flask fa-2x" span style="color:#fff; margin-left:8px; margin-top:10px"></i>
</div>
<div class="timeline-content right">
<a href="./labs/data_collection_lab1_designing_survey_schema.pdf" target="_blank">
<h2>Lab 1: Designing A Survey Schema</h2>
</a>
</div>
</div>
<!-- Lab 2 -->
<div class="timeline-item">
<div class="timeline-icon">
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<a href="./labs/data_collection_lab2_creating_odk_data_collection_form.pdf" target="_blank">
<h2>Lab 2: Creating Your ODK Data Collection Form</h2>
</a>
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<a href="./labs/data_collection_lab3_uploading_testing_forms_kobo_toolbox.pdf" target="_blank">
<h2>Lab 3: Uploading And Testing Your Forms Using Kobo Toolbox</h2>
</a>
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<a href="./labs/data_collection_lab4_setting_up_using_kobo_collect_android_device.pdf" target="_blank">
<h2>Lab 4: Setting Up And Using Your Kobo Collect Forms On Your Android Device</h2>
</a>
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<h2>Manual 2: After Data Collection</h2>
<p>As much as you will be eager to share, analyse and present the data you have collected
in its raw form, you cannot. Doing so not only means leaving in potential sources of
errors and privacy issues in your data set. As responsible data experts and
organisations, we want to make sure that our collected data contains what we expect
and can be used without any ethical and privacy concerns. This module focuses on what tools, techniques and best practices you need to turn your
collected data into something that can be published, analysed and presented..<br><br>
<b><a href="./manuals/after_data_collection.pdf" target="_blank">After Data Collection</a></b></p>
</div>
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<a href="./labs/data_collection_lab5_managing_kobo_toolbox_database.pdf" target="_blank">
<h2>Lab 5: Managing Your Kobo Toolbox Database</h2>
</a>
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<h2><i class="fa fa-clock-o"></i> Datasets</h2>
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<thead>
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<th>Lab Exercise</th>
<th>Datasets</th>
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<td>Data Fundamentatls Lab 1: Scraping Data from PDF</td>
<td>
<ul>
<li><a href="./data/bank_of_tanzania_mer_approved_april_2018_pg14.pdf" target="_blank">
bank_of_tanzania_mer_approved_april_2018_pg14.pdf</a></li>
<li><a href="./data/bank_of_tanzania_mer_approved_april_2018_pg14.xlsx" target="_blank">
bank_of_tanzania_mer_approved_april_2018_pg14.xlsx</a></li>
<li><a href="./data/sample-data-for-scraping.pdf" target="_blank">
Sample Data for PDF scraping</a></li>
<li><a href="./data/APRIL_2018_MER_APPROVED.pdf" target="_blank">
APRIL_2018_MER_APPROVED.pdf</a></li>
</ul>
</td>
</tr>
<tr>
<td>Data Fundamentals Lab 3: Data Cleaning</td>
<td>
<ul>
<li><a href="./data/Tanzania_in_Figures_2016.pdf" target="_blank">
Tanzania_in_Figures_2016.pdf</a></li>
<li><a href="./data/criminal_offences_road_accidents_tanzania_2013_2016.xlsx" target="_blank">
criminal_offences_road_accidents_tanzania_2013_2016.xlsx</a></li>
</ul>
</td>
</tr>
<tr>
<td>Data Fundamentals Lab 4: Calculate Sums, Rates & Percentages</td>
<td>
<ul>
<li><a href="./data/WHO_Global_Health_Workforce_Statistics.xlsx">
WHO_Global_Health_Workforce_Statistics.xlsx</a></li>
</ul>
</td>
</tr>
<tr>
<td>Data Fundamentals Lab 6: Exploring Data In Large Datasets</td>
<td>
<ul>
<li><a href="./data/Selected_Vaccine_Preventable_Infectious_diseases.xlsx">
Selected_Vaccine_Preventable_Infectious_diseases.xlsx</a></li>
</ul>
</td>
</tr>
<tr>
<td>Data Fundamentals Lab 7: Exploring Data With Pivot Tables</td>
<td>
<ul>
<li><a href="./data/us_foreign_aid_usg_sector_ssa.xlsx">
us_foreign_aid_usg_sector_ssa.xlsx</a></li>
</ul>
</td>
</tr>
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