Melio AI’s Post

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/ -- find the chat-tidytuesday channel! #RStats #PyData #JuliaLang #DataViz #DataScience #DataAnalytics #data #tidyverse #R4DS

🚀 Ready to embark on a data science journey? Check out the top 5 skills you need to kickstart your adventure! From programming to data wrangling and machine learning, we've got you covered. Don't miss the opportunity to level up your skills at aiacademy.africa.

Here is another data Science program for Arewa ladies. If you’re in Kaduna you can join physically. If not, you can join online. Register here: https://lnkd.in/dyK6yzPn

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/ -- find the chat-tidytuesday channel! #RStats #PyData #JuliaLang #DataViz #DataScience #DataAnalytics #data #tidyverse #R4DS

It takes an ecosystem for data science to succeed according to Tam Ogubai. Great talk about Zindi the biggest professional Network for Data Scientists. DS-I Africa students and early career researchers connect! https://zindi.africa/ #DSIAFRICA #IndabaXSA #NIH #womeninscience

Ladies (techies) where are you? Here is another data Science program for Arewa ladies. If you’re in Kaduna you can join physically. If not, you can join online. Register here: https://lnkd.in/dp7kw7s6

I finished the course on a career in Data Science with Professor Hadelin de Ponteves, Hon. PhD! 🎓 In this program, I not only gained essential skills to excel in Data Science but also delved into the various paths this field offers to meet the increasing demand. The key to success lies in continuous learning in this dynamic field, staying abreast of trends, and applying this knowledge practically in the real world.

Hello Fellow Geeks! 👋 In the sixth week, I would like to update you about my progress in the Data Science Bootcamp at Digital Skola I learn and work together with '4TUNE8' team members Havid Raka Raditya Putra MUHAMMAD ANAS NAUFAL Muhammad Fadhil mutia apsari . We explore Advance Statistic and Data Visualization. In this week we learn about Sampling Techniques, Hypothesis Testing and Procedure, Data Visualization, Data Storytelling, and Business Intelligence. What is Sampling Techniques ? Sampling Techniques is the take a sample from population to estimate the entire population. Sampling Techniques consists of Simple Random Sampling, Stratified Sampling, Cluster Sampling, Framework Data Science Methodology. The term Data Visualization refers to the graphical representation that shows information and data. By employing visual components such as chart, graph, and map You can read more in the slides below, i hope there’s some insight from it. Thank you very much!🔥🔥🔥 #DataScience #BootcampDataScience #DigitalSkola

When presenting ML experiments, don't dump everything into one plot. Instead: • Highlight the comparisons you want people to see. • Have a key message you want your audience to remember. • Use multiple plots to show how your experiments improve gradually. Your presentation is not an activity log. Don't overwhelm your stakeholders with unnecessary plots and metrics. Focus on an actionable take-away message and build a story around it. *I share more practice data science career advice at www.dalianaliu.com