Day 170 - of #66DaysOfData
Worked within Enterprise Jira, creating a functional Kanban board and dashboard to assist with organizing and displaying progression of tasks.
Also, I was notified that #365DataScience is offering 100% free access to their courses from 10/18 - 11/18.
Diving into the world of data science! 🚀 Just kicked off my 365 Data Science course and ready to explore how Data Science, ML, Data Analytics, and Business Analytics shape our understanding of Past, Present, and Future. #DataScience#365DataScience#LearningJourney#FutureOfData
I have completed this course given the opportunity by #365datascience@365datascience in the current 14 days of free courses. I must say the course is well organized and well explained in a easy to follow manner.
🏆New contest: Share our link and include the hashtag #365DataScience! We'll give away 5 free one-month subscriptions to the authors of the Twitter posts with the highest number of combined likes and retweets.
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👉The contest ends on 3 Sept 11:59 PM EEST
While doing this course I got to know the proper knowledge. After completing Introduction to Python let's move forward and start learning new stuffs. ✌😎
#QuarantineDiaries#QuarentineLife#365datascience
Day 66 - of #66DaysOfData
Day 46 - of #66DaysOfRunning
After today's session, round 1 of this challenge is now complete! Truly appreciative to @KenJee_DS for creating this movement. Round 2 will begin tomorrow, following the course work within #365DataScience.
Day 2
Data is broadly classified as Traditional data and big data
Today, we would look at Traditional Data Techniques.
What is Traditional Data?
Traditional data is data in form of tables containing numeric or text strings or both of them and can be managed from one computer.
2. Data cleansing/data scrubbing: the goal here is to deal with inconsistent data.
3. Handling missing values. Etc.
Worthy of note is that Entity Relationship Diagram and Relational schema are associated with traditional data!
Thanks for coming to my Ted talk today!😉
Day 75 - of #66DaysOfData
Day 55 - of #66DaysOfRunning
Spent time today going back into the #365DataScience module and reviewed ML and the concepts around models, objective function, optimization, and model training.
Day 148 - of #66DaysOfData
Another one down! I enjoyed this course on Data Literacy. It started with basic concepts around types of data, how it is stored/used, and finished with different statistical methods that can be used to confirm or deny statistical testing hypotheses.
I will circle back to the Statistics course, and hopefully complete it, as well as the Probability and Mathematics course before my 3-month #365DataScience subscription ends in the beginning of October.
The world of data and data science can seem overwhelming! But don’t worry! We’ve got you covered! In this Introduction to Data Science video, we’ll show you exactly how to get started! #365datascience#datascience#definingdatascience