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Case study 1: Cyclistic bike-share analysis

Date:	·         Course/topic: Case study: Cyclistic bike-share analysis
Prompt:	·         How do annual members and casual riders use Cyclistic bikes differently? ·         Why would casual riders buy Cyclistic annual memberships? ·         How can Cyclistic use digital media to influence casual riders to become members? Moreno has assigned you the first question to answer: How do annual members and casual use Cyclistic bikes differently?
Journal Entry:	Today I began working on the Cyclistic case study assigned in the Google Data Analytics Capstone. My focus is on the first key question from Moreno: How do annual members and casual riders use Cyclistic bikes differently? So far, I’ve identified that understanding user behavior between these two groups is crucial. I plan to analyze ride data (duration, day of the week, time of day, start/end stations, etc.) to spot trends. My initial assumption is that annual members may use the bikes more consistently and for commuting, while casual riders might favor weekends, holidays, and recreational use. I’m preparing to clean and explore the datasets for patterns, focusing on the following: Ride length and frequency Popular start and end stations Preferred ride times and days Type of bikes used (classic, docked, or electric) I expect visualizations (like bar charts or heatmaps) to be very helpful in illustrating usage patterns. This will also help later in addressing the other two questions about converting casual users and digital marketing strategies.
Other thoughts or questions:	§  Will weather or special events significantly impact ride patterns between the two groups? §  Should I include geographic mapping to better understand location-specific trends? §  What behavioral triggers can be drawn from the data to recommend specific marketing actions?

CO_2 emissions per capita for each country from 2000-2011 | Tableau Public

    CO_2 emissions per capita for each country from 2000-2011 | Tableau Public

    

    Google Professional Data Analytics Certification  

    Portfolio by Rufuson Oyinki

Global CO2 Emissions | Tableau Public

    Global CO2 Emissions | Tableau Public

    

    Google Professional Data Analytics Certification  

    Portfolio by Rufuson Oyinki

Biggest contributors to a country's happiness score | Tableau Public

        Biggest contributors to a country's happiness score | Tableau Public

        

        Google Professional Data Analytics Certification 

        Portfolio by Rufuson Oyinki

When Should You Get Your Kid a Phone

Published by Rufuson Oyinki · September 11, 2017 

When Should You Get Your Kid a Phone?

Parents should give kids a reality check by setting limits on phone usage that the whole family follows. For example, families can set dinner aside as a time when everyone puts down their phones and checks in with each other. For families who are on the go, car rides are another good time to unplug and have a conversation.

To help teens learn self-regulation skills, Dr. Steiner-Adair suggests using technology to tame technology. “Applications like Rescue Time and Freedom are a great resource for limiting their distractions online,” she says. These applications monitor Internet usage and can be set to block distracting sites after a set amount of time. Such tools are particularly good for kids who find themselves too distracted or overwhelmed by social media when they’re doing homework or before bed.
When should you step in?

Of course parents should limit their teenagers’ access to phones and other media when they feel kids are using them inappropriately.

But Dr. Marwick thinks the dangers to teenagers sharing and socializing online can be exaggerated; most teens are better at avoiding cyber mistakes than you might think. And many are getting smarter about how they present themselves on social media, using Facebook to positively brand themselves for college and keeping multiple Instagram accounts for personal use or portfolio work.

Stamp a family Cell Phone Rule:

Rule #1: No cell phones in the bedroom at night

Rule #2: No cell phones in school especially to curb distractions

Rule #3: No cell phones on important family times

Rule #4: Rule out all picture mails

Rule #5: Ensure each cell phone contact is only real friend or family members only for security reasons and Finally;

Rule #6: Restrict Wireless Devices, harmful Websites in the Classroom and at homes

Artificial Intelligence – Series 1

Thursday, September 11, 2017

Artificial Intelligence – Series 1

What is Artificial Intelligence?                                             

The theory and development of computer systems being able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

Artificial intelligence (AI, also machine intelligence, MI) is intelligence exhibited by machines, rather than humans or other animals (natural intelligence, NI).

Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

Although the computer provided the technology necessary for AI, it was not until the early 1950's that the link between human intelligence and machines was really observed. Norbert Wiener was one of the first Americans to make observations on the principle of feedback theory.

 In 1950 Alan Turing published a landmark paper in which he speculated about the possibility of creating machines with true intelligence. He noted that "intelligence" is difficult to define and devised his famous Turing Test.

Why do we need research to ensure that artificial intelligence remains safe and beneficial? What are the benefits and risks of artificial intelligence?

If really machines are created to think intelligently like man, likely in the nearest feature going to War, Surgical Operations, Agricultural development, or learning. Likewise it could be used to set a devastating calamity to our society for the craze for power if not checked.

Elon Musk has repeatedly issued warnings about the perils of AI, calling for new regulation to keep the public safe.

"Artificial intelligence will be everywhere," "It will be the most prevalent aspect of our society yet wouldn’t be visibly seen. But it will be behind everything."

By Rufuson D. Oyinki