Wadood AI Production

50 Top Courses With certificates 2023🎓🎓🖤🤍

1-Software Engineering
imp.i384100.net/LPGY6Y

2-Data Science for Business Innovation
imp.i384100.net/7mErgg

3-Project Management Project
imp.i384100.net/LPjqkM

4-Support informatique Google
imp.i384100.net/6b09Zq

5-Process Improvement
imp.i384100.net/3PBx1M

6-Cloud Application Development Foundations
imp.i384100.net/vn53dv

7-English Language Skills A2-B1 CEFR: Low-Intermediat
imp.i384100.net/oeEVYn

8-Healthcare Organization Operations
imp.i384100.net/kjy3Kd

9-Python Scripting for DevOps
imp.i384100.net/15XLYm

10-Data Engineer, Big Data and ML on Google Cloud en Français
imp.i384100.net/1547K9

11-Data Science con Python e R
imp.i384100.net/9WmP63

12-Data Science Foundations: Data Structures and Algorithms
imp.i384100.net/gb3GQA

13-Machine Learning with Python
imp.i384100.net/DV5bMj

14-C++ For C Programmers, Part A
imp.i384100.net/ZdMno0

15-Data Engineer, Big Data and ML on Google Cloud en Français
imp.i384100.net/1547K9

16-Practical Machine Learning
imp.i384100.net/Gjx5jE

17-Marketing Digital
imp.i384100.net/x9xemk

18-Marketing Digital
imp.i384100.net/x9xemk

19-Python Project for Data Engineering
imp.i384100.net/7mE7Ad

20-Machine Learning
imp.i384100.net/rnrgmj

21-Introduction to Machine Learning: Supervised Learning
imp.i384100.net/5bW3bn

22-Introduction to Machine Learning: Supervised Learning
imp.i384100.net/5bW3bn

23-Practical Machine Learning
imp.i384100.net/Gjx5jE

24-Data Engineering Foundations
imp.i384100.net/GjLg1m

25-IBM Data Analyst Professional Certificate
https://imp.i384100.net/jWGKxa

26-Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/dovOz7

27-Excel Skills for Business Specialization
https://imp.i384100.net/a1zAKM

28-IBM Cybersecurity Analyst Professional Certificate
https://imp.i384100.net/15kPbm

29-Programming with JavaScript
imp.i384100.net/kj59zL

30-Introduction to Front-End Development
https://imp.i384100.net/Ryzm07

31-Foundations of Teaching for Learning: Being a Teacher
https://imp.i384100.net/jWPnPZ

32-Machine Learning with Python
imp.i384100.net/DV5bMj

33-IBM Data Analytics with Excel and R
imp.i384100.net/XxjeWg

34-IBM DevOps and Software Engineering
imp.i384100.net/0JqOaL

35-IBM Full Stack Software Developer
imp.i384100.net/dodqN2

36-IBM Data Warehouse Engineer
imp.i384100.net/Ao9AaK

37-IBM COBOL Basics
imp.i384100.net/EamxOn

38-IBM Applied AI
imp.i384100.net/QOXD9A

39-IBM Technical Support
imp.i384100.net/5b6qyD

40-Meta Front-End Developer Professional Certificate
https://imp.i384100.net/rnZDJj

41-*Google Digital Marketing & E-commerce Professional Certificate
https://imp.i384100.net/MXJBRM

42-*Meta Database Engineer Professional Certificate
https://imp.i384100.net/5b6ZKb.

43-*Meta Marketing Analytics Professional Certificate
https://imp.i384100.net/a1qAPY

44-*Meta Social Media Marketing Professional Certificate
https://imp.i384100.net/oevLnm

45-*Meta iOS Developer Professional Certificate
https://imp.i384100.net/9WRz2E

46-* Android Developer Professional Certificate
https://imp.i384100.net/x9W5Oy

47-Geographic Information Systems (GIS) Specialization
https://imp.i384100.net/LP7yR0

48-Business and Financial Modeling Specialization
https://imp.i384100.net/rnYqLj

49-Career Success Specialization
https://imp.i384100.net/Ao71nK

50-AWS Fundamentals Specialization
https://imp.i384100.net/qnYLZb

Software Engineering Offered by The Hong Kong University of Science and Technology. Getting Started as a Software Engineer. Master techniques and skills to plan, ... Enroll for free.

SQL Advantages and Free Resources to learn and practice.

SQL (Structured Query Language) SQL plays a significant role in field of AI. It is used to manage and analyze large sets of structured data, making it an essential language for handling data in many industries.
We can perform the operations like data cleaning, data preprocessing, data aggregation, and data analysis. Data scientists and AI practitioners use SQL to extract, transform, and load data from various sources, perform queries to filter and aggregate data and join data from multiple tables.

Furthermore, SQL is also used to integrate data from different sources and prepare data for machine learning algorithms. In addition, SQL can optimize queries and improve the performance of data analysis tasks.

Here are some great free resources for learning SQL:

Codecademy - SQL course: https://lnkd.in/ddXEXp2X
Khan Academy - SQL course: https://lnkd.in/dsFepTeU
Stanford University - Databases and SQL for Data Science course: https://lnkd.in/dNX6N-nd
W3Schools - SQL tutorial: https://lnkd.in/dqfZ-MQf

For practicing SQL queries:
Sql-practice.com: https://lnkd.in/dTvxuHCw
HackerRank: https://lnkd.in/dsRGb85q
SQL Fiddle - http://sqlfiddle.com/



😇

sqlfiddle.com

8 Secrets to know while learning Data Science. ...

Facts about Data Science that you must know.

1👉 Data is never clean.
2👉 You will spend most of your time cleaning and preparing data.
3👉There is no full automated data science. You need to get your hands dirty.
4👉 95% of the tasks do not require deep learning.
5👉 Big Data is just a tool.
6👉You should embrace the Bayesian approach.
7👉No one cares how you did it.
8👉 Academia and business are two different worlds.
9👉 Presentation is key.
10👉All models are wrong, but some are useful.
11👉Just because analytic model is great doesn’t mean it will see light of day.

❤Ask me if any doubts

Best websites for Data Science. ..

👉 This is how Data Science / Machine Learning Team should work:

✅ Inception of an idea (Business + data scientists). 📊💹

✅ Collaborate to work closely with the data engineering team to get appropriate data. 👫

✅ Exploratory analysis in notebooks.

✅ First models and experimentations in notebooks.

✅ Convert notebooks to scripts and modules.

✅ Write tests.

✅ Make experiments reproducible.

✅ Create APIs to serve your model (if required).

✅ Take care of all optimisations.

✅ Dockerize everything (this can also be done in the beginning).

✅ Make sure everything (including training) works end-to-end without any human interference.

✅ Collaborate with the engineering/ops team to deploy it.

✅ Feedback loop.🔁

Steps for AI Models Building...
Follow for more....

Work from home.
Follow for more.........

Machine learning without math and statistics. ..

Here's what is hard about Data Science. ...

Data Science vs Artificial Intelligence. ...

Best websites for internships. ...

Artificial Intelligence vs Human Intelligence....