Notes of Data Analytics Online Courses 1-1

 

Notes of Google Data Analytics Professional Certificate - Module 1

Helpful resources to get started

The designers of this course have also put together a list of helpful habits that they believe will help you to be the most successful:

1. Plan your time
• Set regular study times.
• Use calendar or timetable to create a schedule.
2. Learn in order
• Recommend to take courses in the order.
3. Be curious
• Act on an idea that gets you excited.
• The little things you do to support your learning along the way will take your knowledge even further; open more doors in this new, high-growth field; and help you qualify for all kinds of new jobs.
4. Take notes
• Sometimes you might come across a subject that you want to explore in more detail.
• An effective way to help make connections between topics.
• Make it easier to stay organized.
5. Chat (responsibly) with other learners
• You can also visit Coursera’s Global Online Community
• Other important things to know while you’re making friends can be found in the Coursera Honor Code
• and the Code of Conduct.

 

The little things you do to support your learning along the way will take your knowledge even further; open more doors in this new, high-growth field.

Learning Log: Think about data in daily life

Overview

The log will be a personal space where you can keep track of your thinking and reflections about the experiences you will have collecting and analyzing data. By the time completing the entry for this activity, you will have a stronger understanding of data analytics.

Everyday data

Think about where and how you use data to make decisions. You will create a list of at least 5 questions that you might use data to answer. Here are some examples to inspire you:

• What's the best time to go to the gym?
• How does the length of your commute to work vary by day of the week?
• how many cups of coffee do you drink each day?
• What flavor of ice cream do customers buy?
• How many hours of sleep do you get each day?

You can explore further and write down the types of data you might collect in order to make a decision.

Reflection

Reflections may include what you liked, what you would change, and questions that were raised.

Here is the selected question: What's the best time to go to the gym?

Writing 2-3 sentences in response to each question below:

• What are some considerations or preferences you want to keep in mind when making a decision?

Do I want to take a class, use the weights, or use the cardio equipment?  

Am I someone who enjoys working out early, mid-day or later in the day?

How will I get to the gym and is parking available if I need it?

• What kind of information or data do you have access to that will influence your decision?

I would like to know at what times is the gym the busiest and when it is quieter.

I would also like to know if their classes book up quickly or are there classes I can join at the last minute.

If parking is only available on a public street, what times of the day would I have a better chance of getting a parking spot?

• Are there any other things you might want to track associated with this decision?

What other aspects of my day might impact my ability to get to the gym?

For example, 

if I like to go after work, but I frequently have meetings later in the day that run late, what impact will this have?

Will I need to bring my gym clothes with me and change?

Does the facility have showers and will I have enough time to use it if I go before my work day starts?