PostgreSQL is an open-source database that you can customize in many ways.
And this beginner-friendly course can help you see if it's a good fit for your projects.
You'll learn about the SELECT statement, WHERE clauses, aggregate functions, and more.
https://t.co/1g8M3kiRy5
👉 Best of Machine Learning with Python
This list contains 880 awesome open-source projects on Data Visualization, NLP, Time Series, Machine Learning, Data Pipelines, Reinforcement Learning, Recommender Systems and more.
🔗 https://t.co/tQknKdqRlW
Step-by-Step Roadmaps for Absolute Beginners:
❯ Python
https://t.co/VjAWvof0Dw
❯ SQL
https://t.co/92itya2L8o
❯ JavaScript
https://t.co/67USQbwlRh
❯ Java
https://t.co/06naobjYNs
❯ C
https://t.co/qkxOdYpvwn
❯ C++
https://t.co/H8K1BhE8lH
❯ DSA
https://t.co/t6L50ytq5n
❯ HTML & CSS
https://t.co/VljUnVhvuq
❯ Front End Development
https://t.co/ZFX9KW8Ubw
❯ Back End Development
https://t.co/tAR1mPa3Pq
❯ Full Stack Web Development
https://t.co/7NLE9HEApA
❯ Data Science
https://t.co/Tl7GCwGvpd
Are you looking for some other roadmap? Mention that in the comment. I'll prepare and share it.
Excel for Data Science Complete Study Plan 🚀
The timeline of 30 days and you have to dedicate at least 1 hour a day.
Week 1: Basics of Excel
Day 1-2: Excel Basics
https://t.co/ecWfpJvBnN
Day 3-4: Understanding Formulas, Functions and Formatting
https://t.co/LfcuAQ1rOp
Day 5-7: Practice Basic Operations
Practice: Start by working on simple datasets, performing basic arithmetic operations, and using functions.
Datasets: https://t.co/p8NHqsiobM
Week 2: Data Manipulation
Day 8-10: Sorting, Filtering, and Data Validation
Sorting and Filtering: https://t.co/ThWE4m5oq7
Data Validation: https://t.co/HkbEebVAva
Day 11-12: PivotTables
Resource: https://t.co/PymxBY208R
Day 13-14: Practice Data Manipulation
Practice: Work with moderately complex datasets, practice sorting, filtering, and creating PivotTables.
Example: https://t.co/RwLbSwN9xS
Week 3: Advanced Functions and Analysis
Day 15-20: Advanced Functions
Resource: https://t.co/uRiRZGZCEL
Day 21-22: Statistical Functions and Analysis
Resource: https://t.co/wfksZfVXMn
Week 4: Visualization and Presentation
Day 23-25: Charts and Graphs
https://t.co/ARX3xFeZjC
Day 26-28: Advanced Visualizationhttps://www.youtube.com/watch?v=HrqgBhZDWUg&list=PLDO6p2ilGI3EkDJZtQqi3VUdnIhW6lQUu
Day 29-30: Final Projects and RecapPractice: Apply learned skills to create comprehensive visual presentations using Excel.
Example Project: https://t.co/g9EX4w8ura
Datasets: https://t.co/p8NHqsiobM
Throughout the Month:
Review and Practice: Regularly revisit previous topics, practice, and work on sample datasets to reinforce your learning.
Curious about Machine Learning but don't know where to start? This course is for you.
Tatev walks you through an ML roadmap and covers basic theory, practical algorithms, and more.
You'll even work with a Kaggle dataset & build a house price analyzer.
https://t.co/4R8qp6lmSf