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The National Energy Board of Canada🇨🇦 has established Data and Information Management as a focus area for the future. The objectives are to increase capacity in data analytics, experimentation culture and evidence-based decision making withing their organization but more broadly in the communities they serve.
One pillar of this strategy is to develop open data science training content, developed using open data. Success is predicated on all of us having a common understanding of data terminology, tools and techniques, so nothing is “lost in translation.” This course is open to public servants in Canada and to the general public.
Data experts are encouraged to participate, no programming or IT experience are required and, participants from non-technical backgrounds are encouraged to take this short course. Happy learning!
Module 1 – What is Data Science?
Question: What is Data Science?
Question: The Hadoop Distributed File System (HDFS) allows for storage, retrieval, and analysis of very large data sets using distributed hardware.: True or False.
Question: Which definition(s) of Open Data are true? Select all that apply.
Module 2 – Up and Running With R
Question: RStudio is an IDE for R. What is an IDE?
Question: In R, the # symbol precedes a comment. True/False
Question: R is case-sensitive. True/False
Module 3 – The National Energy Board Of Canada (NEB)
Question: The Open Data sets used in the labs is from the NEB. What is the NEB?
Question: ‘Exploring Canada’s Energy Future’ is an interactive tool that allows users to visualize, download, and share the data behind the National Energy Board’s (NEB) series of long-term energy outlooks, Energy Futures.
Question: The total energy used in the four sectors of Canada’s economy: residential, commercial,
industrial and transportation is described in the NEB Open Data set as ________________?
Module 4 – Intro To Data Analysis
Question: Analyze the Energy Futures Data Visualizations and derive insights from the data e.g., which of the following statements is true? (View by Region, GW.h, 2018, Scenario – Reference)
Question: Analyze the Energy Futures Data Visualizations and derive insights from the data e.g., The trend for Alberta’s Oil Production declines significantly from 2005-2040, kB/d, 2018, Scenario – Reference. True/False
Question: A useful way to understand a large data set and distil insights from data visualizations is ___________?
Module 5 – Data Visualization and Analysis with Open Data
Question: When we explore a data set to find insights, it is useful to use visualizations as human beings are good at _________?
Question: Looking at multiple visualizations to find data insights and spot notable differences in different data set. True/False?
Question: Drilling down into data can help us find data insights. True/False?
Question: What is Open Data?
Question: RStudio is available as stand-alone software or in the cloud. True or False?
Question: RStudio is an IDE – IDE stands for?
Question: In this course, we accessed RStudio using RStudio Cloud and IBM’s labs.cognitiveclass.ai. True or False?
Question: The National Energy Board of Canada (NEB) regulate: _____________ .
(1) The construction and operation of international power lines and designated inter-provincial power lines.
(2) Imports of natural gas and exports of crude oil, natural gas liquids, natural gas, refined petroleum products, and electricity.
(3) Oil and gas exploration and production activities in specified areas that are not regulated under joint federal/provincial accords.
(4) The construction, operation, and abandonment of pipelines that cross international borders or provincial boundaries, as well as the related pipeline tolls and tariffs.
***[Select all that are true]***
Question: The Minto Pyramid Principle refers to a process for organizing your thinking so that it jumps easily off the page to lodge in a reader’s mind. It notes that people ideally work out their thinking by creating pyramids of ideas. Select the 3 steps invovled in the concept.
Question: R is case sensitive. True or False?
Question: To run a command in R, place your cursor anywhere on the line you wish to run and hit the ‘tab + enter’ buttons (Windows) or ‘tab + enter’ (Mac) True or False?
Question: Which R package can we use to add compelling color schemes to our visualizations?
Question: We can use the “read.csv” command to load a CSV. file into the R programming environment. True or False?
Question: Which R command can we use to change the orientation of a chart?
Question: Which R command covered in this course can we use to learn out more about a function?
Question: When you run Rscript for the first time, you will need to install packages – these are predefined groups of code that perform common instructions. The command to install the ‘ggplot2’ package is________________________.
Question: In 2005, Wind is the biggest source of energy for Quebec (QC). True or False?
Question: From analyzing the NEB Open Data, we learn that__________________.
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