E is for Eskwelabs Issue 83 - Scavenger Trek: Data Edition πΈ
Weβre in for an exciting discovery, one clue at a time π΅οΈββοΈ
We created this newsletter to keep our alums, partners, and anyone interested in learning skills for the future of work updated and connected to our ever-growing community. If you want to read our previous issues, you can check them out here.
Ciao! This is Meg speaking. π One thing weβll all be saying throughout this issue is CHALLENGE ACCEPTED. π’
Join me in completing this Scavenger Hunt! This hunt will take you through various aspects of data science, showcasing how these disciplines are deeply integrated into our daily lives, often without us even realizing it. π
As we go through this list, you'll discover how data science and data analytics are not just tools but also vital components of human-centered solutions for complex problems. By the end of this newsletter, you'll not only have explored the educational applications of data-driven insights but also have a deeper appreciation for their role in addressing intricate challenges. π―
Some things youβll realize in Issue 83 of E is for Eskwelabs:
I unconsciously make data-informed decisions in my day-to-day life. β
I have soft skills that match those of data practitioners. π§βπ«
The data industry is an industry that welcomes all! π³
Reading time: 8 minutes
Happy reading! π§©
Data Scavenger Hunt ποΈ
Let's turn our exploration of data concepts into a fun scavenger hunt checklist. See if you've encountered these concepts in your day:
Descriptive Statistics π’ - Check if:
β You calculated the average cost of groceries in your shopping cart π₯¦
β You analyzed your step count data on a fitness tracker app π
β You compared the prices of items in a grocery store using price tags π΅
Data Visualization π - Check if:
β You observed a weather forecast on TV with temperature charts and maps π©οΈ
β You used a GPS navigation app to find the quickest route to your destination πΊοΈ
Cluster Analysis ποΈ - Check if:
β You grouped your social media friends into categories like "college buddies" and "work colleagues" π±Β
β You organized your email inbox into folders for different types of messages π§
β You separated your spices into containers based on their flavor profiles πΏ
Correlation π - Check if:
β You noticed that the more you water your plants, the taller they grow πͺ΄
β You realized that your energy bills tend to rise during the hot summer months β‘
β You observed that your mood improves after a good night's sleep π΄
Regression Analysis π - Check if:
β You estimated how long it takes for your phone to charge from 10% to 100% πͺ«
β You determined which route to take to work based on historical traffic data π¦
Time Series Analysis π§ - Check if:
β You looked at the patterns of past stock prices to figure out if itβs a good time to buy or sell π
β You tracked your monthly expenses to see where your money goes πΈ
Linear Regression βοΈ - Check if:
β You've predicted how long your morning commute would take based on past data π
β You've calculated the time needed to complete household chores π§Ή
Logistic Regression π§ - Check if:
β You decided whether to take an umbrella today based on the probability of rain βοΈ
β You assessed the likelihood of your favorite team winning a game π
β You determined whether to click on a link based on the likelihood of it being a scam β οΈ
Decision Trees π³ - Check if:
β You followed a recipe step-by-step to cook dinner π½οΈ
β You chose your outfit based on weather conditions and style preferences π
β You made decisions in a flowchart-like manner while troubleshooting a technical issue π§
Gradient Boosting π - Check if:
β You collaborated with colleagues on a project, where each person's input improved the final outcome π‘
β You and your friends played a game where each round built upon the previous one π²
β You watched a movie with a complex plot, where each scene added to the overall story π₯
Sentiment Analysis π - Check if:
β You read online reviews to decide which restaurant to order from ποΈΒ
β You analyzed customer feedback on a product to gauge its quality π
β You sensed the mood of social media posts based on the comments and emojis used β©
Natural Language Generation π - Check if:
β Your search engine is able to predict what youβre trying to say as you start typing π
β Youβve asked Siri, Google Voice, or Alexa to assist you with something π€
β Youβve called a customer hotline and an automated voice redirected you to the department that can respond to your concern πΌ
Machine Learning Recommendations π₯οΈ - Check if:
β You shopped online and received product recommendations based on your browsing and purchase history π
β You watched a streaming service that suggested movies or TV shows you might like πΊ
β You visited a news website that displayed articles tailored to your interests π
Great! Now letβs evaluate your list: βοΈ
β If you checked 0-7 items: You may not have realized it, but data science and analytics concepts are quietly influencing your daily life. Stay curious, and you'll discover more.
β If you checked 8-13 items: You're unconsciously interacting with data science and analytics concepts regularly. Keep your awareness growing, and you'll see even more connections.
β If you checked 14-18 items: You're actively engaging with data science and analytics in your daily life without even noticing it. You're on the right track!
β If you checked 19-27 items: You're seamlessly incorporating data science and analytics into your everyday routine. Your subconscious data interactions are impressive.
β If you checked 28 or more items: You're a data-savvy individual, effortlessly navigating the world of data science and analytics in your daily life. Keep up the exceptional work!
Each stop on this journey showcased how these disciplines have become indispensable tools in our daily lives, helping us make informed decisions, streamline tasks, and enhance our experiences. π More importantly, it demonstrated how data science and data analytics are at the heart of human-centered solutions for complex problems. Whether it's understanding customer preferences, optimizing processes, or making informed choices, these disciplines empower us to address intricate challenges with precision and insight. π
Software Freedom Day π«‘
In our exploration of human-centered solutions, it's crucial to highlight the role of Free Software, as exemplified by Software Freedom Day (SFD) which we recently celebrated last September 16! π₯³ This annual worldwide celebration, established in 2004, is a testament to the power of collective efforts in shaping a more inclusive and accessible digital landscape.
Software Freedom Day serves as a public education initiative, dedicated to raising awareness of Free Software and its invaluable virtues. β By championing the principles of openness, collaboration, and accessibility, SFD paves the way for a world where technology is a force for the greater good.
SFD is a shining example of how human-centered solutions can emerge from collective efforts. β€οΈ It demonstrates that when individuals and communities come together to advocate for Free Software, they are not only promoting open access but also creating a more equitable and inclusive digital world.
The Sole Searchers
I hope you had fun with this issue; after all, data-driven solutions and a human-centered approach to technology are not only enlightening but also incredibly empowering. β€οΈβπ₯
YOU can continue this journey by joining us on October 14 for a Hackathon! π€©
The Sole Searchers: Reawaken the Cultural Heritage of Marikina Craftmanship Hackathon is a creative challenge that aims to reawaken and revitalize the cultural heritage of Marikina's shoemaking craftsmanship. π
Participants are tasked with developing a comprehensive branding and marketing campaign proposal to position Marikina-made shoes as unique and desirable in today's competitive market. π The challenge also includes leveraging digital platforms, engaging the local community, emphasizing sustainability, and connecting Marikina's rich heritage with contemporary marketing techniques.
π For more information, check out our Facebook post here!Β
π Register for the event now: https://bit.ly/ESKHackathon-Registration
Success is the sum of small effortsβrepeated day in and day out. - Robert Collier
Succeed and make an impact with our community, sign-up for Cohort 12 of our Data Analytics Bootcamp. π« Classes start Oct. 9!
Stay curious, stay engaged. βTill next time!
π Learning with you,
Meg Ruiz
Junior Content Designer at Eskwelabs