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By course
  • Introduction to Tableau
  • The Complete Data Visualization Course with Python, R, Tableau, and Excel
  • Introduction to R Programming
  • Data Preprocessing with NumPy
  • Introduction to Data and Data Science
  • Data Cleaning and Preprocessing with pandas
  • Introduction to Business Analytics
  • Data Analysis with Excel Pivot Tables
  • SQL
  • Credit Risk Modeling in Python
  • Python Programmer Bootcamp
  • SQL + Tableau + Python
  • Introduction to Jupyter
  • Statistics
  • Mathematics
  • Introduction to Excel
  • Probability
  • Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process
  • SQL + Tableau
  • Time Series Analysis with Python
  • Power BI
  • Product Management for AI & Data Science
  • Git and GitHub
  • Deep Learning with TensorFlow 2
  • Customer Analytics in Python
  • Web Scraping and API Fundamentals in Python
  • Introduction to Python
  • Python for Finance
  • Machine Learning in Python
  • Advanced Microsoft Excel
  • Convolutional Neural Networks with TensorFlow in Python
  • Data Strategy
  • Fashion Analytics with Tableau
  • Dates and Times in Python
  • SQL for Data Science Interviews
  • Data Literacy
  • AI Applications for Business Success
  • Linear Algebra and Feature Selection
  • Machine Learning with Naïve Bayes
  • Machine Learning in Excel
  • Machine Learning with Support Vector Machines
  • A/B Testing in Python
  • Machine Learning with Decision Trees and Random Forests
  • Machine Learning with K-Nearest Neighbors
  • Machine Learning with Ridge and Lasso Regression
  • Data-Driven Business Growth
  • Corporate Strategy
  • Marketing Strategy
  • Negotiation
  • Management
  • Persuasion and Influence
  • Excel for Project Management
  • Agile and Scrum Project Management
  • Project Management
  • Blockchain for Business
  • How to Think Like a Data Scientist to Become One
  • Power Query and Data Modeling
  • Introduction to DAX
  • Building Business Reports Using Power BI
  • The Machine Learning Process A-Z
  • Working with Text Files in Python
  • Intermediate Python Programming
  • Advanced SQL
  • The Machine Learning Algorithms A-Z
  • Customer Churn Analysis with SQL and Tableau
  • Machine Learning Deep Dive: Business Applications and Coding Walkthroughs
  • Customer Engagement Analysis with SQL and Tableau
  • Advanced SQL for Data Engineering
  • Communication and Presentation Skills for Analysts and Managers
  • Intro to ChatGPT and Generative AI
  • Data Analysis in PowerBI with ChatGPT
  • Mastering Key Performance Indicators (KPIs)
  • Sign-Up Flow Optimization Analysis with SQL and Tableau
  • Python for Social Media Analytics
  • Intro to NLP for AI
  • Data Analysis with ChatGPT
  • ChatGPT for Data Science
  • Intro to LLMs
  • Growth Analysis with SQL, Python, and Tableau
  • Intro to Data Engineering
  • Statistical Tests in Sales and Marketing
  • Build Chat Applications with OpenAI and LangChain
  • Introduction to Vector Databases with Pinecone
  • Intro to Revenue Analytics
  • Intro to AI
  • Python 101: Kickoff
  • Introducing Algorithms in Python
  • Speech Recognition with Python
  • Deep Learning with Pytorch
  • Intermediate Revenue Analytics
  • Introduction to Data Architecture
  • Introduction to Hugging Face
  • Introduction to AWS Cloud
  • LLM Engineering in Practice with Streamlit and OpenAI
  • Understanding Cloud Computing
  • Introduction to Data Warehousing
  • Building Data Pipelines with Apache Airflow
  • Math Foundation for ML
  • Data Ingestion with Pandas
  • Introduction to LLaMA
  • Intro to Google Cloud
  • Fully Automated MLOps
  • Econometrics I
  • Intro to Shell
  • Intro to Microsoft Azure
  • Python Coding Interview Prep
  • Power BI Data Visualization Hero
  • Python 102: Beginner's Power-Up
  • AI Ethics
  • AI Model deployment on AWS
  • Evaluating AI Agents: From Metrics to Real-World Impact
  • Introduction to Databricks
  • MCPs for Everyone: Supercharge Your AI Tooling Skills
  • Build Conversational AI Memory with LangGraph
  • ChatGPT at Work: Ethical and Secure ChatGPT Use
  • ChatGPT for SQL Beginners
  • Intro to AI Agents and Agentic AI
By status
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8576 results
Mohamed El Hamly
Super learner
This user is a Super Learner. To become a Super Learner, you need to reach Level 8.
1
0
Course Exam Mistake
In question 18 of the probability course exam, we can clearly see that there is a mistake in the correct answer...
Probability
1281 views
Eslam Mohamed Helmi
2
3
Resolved: Assignment Solutions
I think solutions given to the excercises are switched (Solution #2 should be for Ex #1) While the required condition...
Advanced SQL
Last answered: Mar 14th 2024
1077 views
Dylan Ritter
Super learner
This user is a Super Learner. To become a Super Learner, you need to reach Level 8.
0
1
Resolved: Mean error in exercise
Hi, I'm having a problem calculating the mean in the exercise. I'm using the formula =AVERAGE(B11:B21) but I'm just...
Statistics
Last answered: Feb 15th 2023
2189 views
Eslam Mohamed Helmi
0
3
Assignment (Excercise #1)
I am sorry but I did not get what is meant by 'disregard the department the managers have worked in' I firstly got...
Advanced SQL
Last answered: May 22nd 2024
966 views
Mayank Mittal
3
0
Course started with saying regression analysis is one of the ......
Dude that's the start of course at least provide some info related to course machine learning or at least say hi...
Machine Learning in Python
1222 views
Islam Mohamed
0
1
Statistical accuracy
How does getting a lower variance help us get more accurate results in this case getting the variance of the population?
Statistics
Last answered: Nov 5th 2023
2356 views
Purandara V kashyap
0
3
Resolved: Unable to get all the elements/data from the SCHEMAS.
Hello,  Im unable to get the employees, and rest of the datas in my system.  I am getting only SYS option....
SQL
Last answered: May 4th 2024
1280 views
Muhammad Usmani
0
1
mydata_02 - existance
Hi, In the code that I see, we are reading from Data_02.csv. Unless I might have missed it, I don't recall saving...
Python for Finance
Last answered: May 22nd 2024
829 views
Abi Afolabi
2
1
Prediction when p-value is greater than 0.05
How does p-value less than on greater than 0.05 affect the prediction?
Machine Learning in Python
Last answered: Jun 15th 2023
1421 views
Eslam Mohamed Helmi
2
0
Combinatorics in Excel
For faster calculations, I think after well-comprehension of cominatorics concepts, we can use excel to calculate...
Probability
1095 views
Eslam Mohamed Helmi
0
1
Another Solution to the Excercise
Is is a correct one? DELIMITER $$ DROP FUNCTION IF EXISTS f_emp_info; CREATE FUNCTION f_emp_info (f_first_name...
SQL
Last answered: Feb 13th 2023
1124 views
Abrar Muhtasim
0
1
PROBLEM CREATING DIM_DATE
AFTER WRITNG ALL THE EXPRESSION TO CREATE DIM_DATE TABLE, I AM GETTING THIS ERROR SAYS "An argument of function...
Power BI
Last answered: Feb 12th 2023
3304 views
Lee Alpha A. Villanueva
0
2
Course Notes on Circular References and Trace Precedents
Hi! Where can I find course notes on 4.4 Circular References and 4.5 Trace Precedents? It would be very helpful in...
Advanced Microsoft Excel
Last answered: May 4th 2024
1845 views
Lee Alpha A. Villanueva
0
3
Dataset Used in Section 3.1 - Use Multiple Screens Simultaneously
Good Day! Where can I find the dataset used in Section 3.1 - Use Multiple Screens Simultaneously in Advance...
Advanced Microsoft Excel
Last answered: Feb 15th 2023
1767 views
Shahab Abbaspour
1
1
Z-score: siga or s?
Why in the Z-test, and in the denominator you've used s (sample variance) instead of sigma (population variance)?
Statistics
Last answered: Mar 6th 2023
2496 views

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