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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
  • Speech Recognition with Python
  • LLM Engineering in Practice with Streamlit and OpenAI
  • Building Data Pipelines with Apache Airflow
By status
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8434 results
Monsurat Ogedengbe
0
1
how do access practice exam
I used laptop but it was directing me to use desktop before I can access practice exams
Introduction to Data and Data Science
Last answered: Jan 20th 2023
757 views
juan pulido
0
2
Degrees of freedom
Why did you choose a 9 degrees of freedom?its similar to the level of confidence most comun ?
Statistics
Last answered: Jul 8th 2024
1569 views
Abrar Muhtasim
0
0
Did not understand why standardized predicted cluster data implemented on unstandardized dataframe
Did not understand why standardized predicted cluster data implemented on unstandardized dataframe.
Machine Learning in Excel
1463 views
Isioma Wiz Ofuasia
0
3
Exported File Problem
Hi, I exported my result set to csv following the steps in the video but what I get is not a csv, looking more like a...
SQL + Tableau
Last answered: Feb 2nd 2023
821 views
Dylan Ritter
Super learner
This user is a Super Learner. To become a Super Learner, you need to reach Level 8.
0
4
How did you quickly select the B column around 50 seconds?
I clicked the first cell for the index array in the Index Match function and tried the ctrl + down arrow and shift +...
Introduction to Excel
Last answered: Nov 20th 2024
1778 views
Poramate Tarasak
0
2
start_ar_lags parameter
The statsmodels.tsa.arima_model has been replaced by statsmodels.tsa.arima.model. The codes in the resources cannot...
Time Series Analysis with Python
Last answered: Oct 14th 2024
799 views
Ahmed Lotfy
0
1
alternative solution same results . Is it valid?
SQL
Last answered: Jan 20th 2023
827 views
Marc Roig
0
1
Find the right hyperparametters
In the solution of the last exercise it is said that to find a combination of parameters that achieves 98.5% acuracy...
Deep Learning with TensorFlow 2
Last answered: Jan 19th 2023
777 views
Salaheddine Hammou
1
9
I'm confused about the P-value
What's the formula to calculate the p-value in this video?
Statistics
Last answered: Nov 10th 2024
3064 views
Claire
0
2
Resolved: Change the sound of the voices - help!
So I've just started with 365 data science and it looks ok, but I really hate the voices they have used. They sound...
Introduction to Data and Data Science
Last answered: Jan 19th 2023
941 views
Salaheddine Hammou
0
0
Question number 6:
In the correction of the question, you use pooled variance to calculate the standard error SE= 0.041 and I use pooled...
Statistics
1340 views
Nunno Nugroho
0
3
Resolved: Different result with Excel formula
I did calculation in Excel with T.INV.2T, function T score number is the same (2.31) but the final result is slightly...
Statistics
Last answered: Feb 8th 2023
2425 views
Valdas Buivydas
Super learner
This user is a Super Learner. To become a Super Learner, you need to reach Level 8.
0
1
Career track exam
Is there a way to retake caree track exam earlyer the 90 days when its locked. 90 days is ridiculous amount of time...
Last answered: Jan 18th 2023
873 views
XINYI LI
0
1
Don't understand the code at 3'40
I don't understand this line of code, 'lending_co_data_numeric =...
Data Preprocessing with NumPy
Last answered: Apr 8th 2023
894 views
Josh Sung
3
2
Results are completely different
As you can see here, the code is the same yet it yields completely different result. It's also evaluating the same...
Time Series Analysis with Python
Last answered: Oct 15th 2024
795 views

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Omar R. Valencia García
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The line reg.predict(1740) does not work anymore
Rafael Rodrigues de Siqueira
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the conclusion?
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