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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
  • Advanced Time Series Analysis with Python
  • 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
  • AI Strategy
  • Copilot in Excel
  • AI Agents in Practice
  • AI Agent Architecture
By status
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8660 results
Carlton Njong
0
0
Why did the Product function not give the same result? -Excel's ifError exercise
Introduction to Excel
2689 views
Anas Alkhaldi
0
1
sns.Implort() supporting only string values?
Hello! When I print the TYPE of a value from the df_ad_exoenditure dataset using this command in...
The Complete Data Visualization Course with Python, R, Tableau, and Excel
Last answered: Mar 28th 2022
1582 views
Noncedo Mlotshwa
0
1
Where can I find Data Strategy Template
Where can I find template for data strategy in the course?
Data Strategy
Last answered: Mar 21st 2022
1598 views
Anas Alkhaldi
1
1
Why not like the one in Excel
Hello! If we chose the number of bins to be 8 here, then why isn't it displaying the same interval ranges as the...
The Complete Data Visualization Course with Python, R, Tableau, and Excel
Last answered: Mar 25th 2022
1818 views
Anas Alkhaldi
0
1
Resolved: why not fill instead of color and group? (5:05)
Hi! I just wondered why didn't we use the 'fill' parameter instead of the color and group over here? I remember we...
The Complete Data Visualization Course with Python, R, Tableau, and Excel
Last answered: Mar 25th 2022
1815 views
Anas Alkhaldi
0
1
Why would someone choose to visualize data with programming languages when easy software is there?
Hi! I just wondered why would a person code with R or Python and use relatively harder to understand concepts and...
The Complete Data Visualization Course with Python, R, Tableau, and Excel
Last answered: Mar 24th 2022
1892 views
Rafat Siddiqui
7
3
Where Is the file loan_data_2007_2014_preprocessed.csv?
Where Is the file loan_data_2007_2014_preprocessed.csv?
Credit Risk Modeling in Python
Last answered: Mar 25th 2023
2267 views
Sam Lee
6
2
Exercises for 3. Inferential Statistics Fundamentals
I can only see 2 exercises in total ("What is a distribution" and "The Standard Normal Distribution") for "3....
Statistics
Last answered: Aug 9th 2024
4576 views
Swarntam Saurav
0
1
Why attendance was represented with 0 and 1 ?
As I understand, the attendance is nominal categorical variable. Why have we represented using ordinal measures? We...
Machine Learning in Python
Last answered: Mar 21st 2022
1937 views
Alejandro Ramirez
0
1
Why are some of your "MAPPING" values inconsistent with the values provided in the PDF file?
I noticed some of your mapping entries don't match with what the PDF says to categorize them as. For example; Line 79...
Introduction to Excel
Last answered: Mar 21st 2022
2972 views
Nikita Ignatev
0
2
many terminologies, very unclear
Shadow manifold is just brought in, without explanation. The notion of lags is also introduced in a similar fashion....
AI Applications for Business Success
Last answered: Mar 18th 2022
1344 views
Anas Alkhaldi
0
1
The dot in the Cars.Listings?
Hi! I was just wondering why do we have to include a dot between the two words in the Cars.Listings in the aes...
The Complete Data Visualization Course with Python, R, Tableau, and Excel
Last answered: Mar 24th 2022
1401 views
ABDULGAFAR SALIUOKULU
Super learner
This user is a Super Learner. To become a Super Learner, you need to reach Level 8.
1
1
i keep getting a conda value error conda create --name py3.TF2.0 python =3
when i run this code,  'conda create --name py3.TF2.0 python =3'  i get this error in...
Deep Learning with TensorFlow 2
Last answered: Mar 22nd 2022
5967 views
Sam Lee
0
1
Exercise - scatter plot (data)
Hi team, Just wondering how do you select data for Apple vs Bank of America only for the scatter plot exercise- ...
Statistics
Last answered: Mar 2nd 2023
2938 views
E E
0
5
Resolved: Why is the highlighted practice not considered a best practice?
SQL
Last answered: Mar 10th 2024
2293 views

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