Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Create Beautiful Data Visualizations with Python and Altair
In this Project, we would be creating some visualizations with Altair Python library and you will learn how to manipulate, interact with and save those charts.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Data Visualization in Power BI: Create Your First Dashboard
Connect Power BI to different sources to create interactive dashboards in Power BI. For example, a data analyst can build a dashboard that is interactive and can track key business metrics to help business stakeholders make actionable business decisions.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Analyze Box Office Data with Seaborn and Python
Welcome to this project-based course on Analyzing Box Office Data with Seaborn and Python. In this course, you will be working with the The Movie Database (TMDB) Box Office Prediction data set. The motion picture industry is raking in more revenue than ever with its expansive growth the world over. Can we build models to accurately predict movie revenue? Could the results from these models be used to further increase revenue? We try to answer these questions by way of exploratory data analysis (EDA) in this project and the next.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Bank Loan Approval Prediction With Artificial Neural Nets
In this hands-on project, we will build and train a simple deep neural network model to predict the approval of personal loan for a person based on features like age, experience, income, locations, family, education, exiting mortgage, credit card etc.
By the end of this project, you will be able to:
- Understand the applications of Artificial Intelligence and Machine Learning techniques in the banking industry
- Understand the theory and intuition behind Deep Neural Networks
- Import key Python libraries, dataset, and perform Exploratory Data Analysis.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Applied Data Science Capstone
This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
IBM Data Analyst Capstone Project
By completing this final capstone project you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
NetLogo's BehaviorSpace + RAWGraphs
In this project-based course, you will be introduced to and explore one of the most relevant features of NetLogo: BehaviorSpace. The context behind such a feature is that a model's true insights arise when it runs multiple times with different combinations of settings (parameter values). This approach, sometimes referred to as parameter sweeping, allows the researcher to observe a large range of behaviors that the system is capable of producing. And that is exactly what you will be doing.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Interactive Statistical Data Visualization 101
In this guided project, we will explore plotly express to visualize statistical plots such as box plots, histograms, heatmaps, density maps, contour plots, and violin plots. Plotly express is a super powerful Python package that empowers anyone to create, manipulate and render graphical figures. This crash course is super practical and directly applicable to many industries such as banking, finance and tech industries. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Data Visualization using Plotly
Welcome to this 1 hour long guided project on Data Visualization using Plotly. Plotly is a python graphing library which is used to make interactive, publication-quality graphs. It allows users to import, copy and paste, or stream data to be analyzed and visualized. In this project you will learn how to create beautiful visualizations using Plotly constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Data Visualization Best Practices
In this course, we will cover the basics of visualization and how it fits into the Data Science workflow. We will focus on the main concepts behind the purpose of visualization and the design principles for creating effective, easy-to-communicate results. You will also set up your Tableau environment, practice data loading, and perform univariate descriptive analysis of the S&P 500 stock sectors.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Building Data Visualization Tools
The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Python for Data Visualization: Matplotlib & Seaborn
In this hands-on project, we will understand the fundamentals of data visualization with Python and leverage the power of two important python libraries known as Matplotlib and seaborn. We will learn how to generate line plots, scatterplots, histograms, distribution plot, 3D plots, pie charts, pair plots, countplots and many more! Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Select Topics in Python: Matplotlib
Code and run your first Python script with Matplotlib in minutes without installing anything! This course is designed for learners with some Python experience, and provides a crash course in Matplotlib. This enables the learners to delve into core data visualization topics that can be transferred to other languages.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Create Digital Marketing Campaign Dashboards in Tableau
How we consume data is often just as important as the data itself. If data remains in columns and rows and is a matrix of numbers, it will continue to be mysterious, confusing, and misunderstood. One of the most powerful ways that data can be easily understood is by making a dashboard. Tableau dashboards are easy to create, interactive, and highly customizable. In this video, learners will learn how to create a digital marketing dashboard. Along the way, they will learn the Tableau techniques that are easily applicable to business spaces outside of digital marketing.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Time Series Data Visualization And Analysis Techniques
By the end of this project we will learn how to analyze time series data. We are going to talk about different visualization techniques for time series datasets and we are going to compare them in terms of the tasks that we can solve using each of them. Tasks such as outlier detection, Key moments detection and overall tren
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Creating an Interactive Graph with Tableau Public
By the end of this guided project, learners will have created an interactive graph that applies principles of data visualization to tell a story using basic sales data. This project will illustrate some of the basic features of Tableau software and allow learners to obtain a good introduction to using the open source software, Tableau Public. In this project, learners will use sample data as a building block to create a shareable interactive data visualization chart.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Data Visualization in Tableau: Create Dashboards and Stories
Use Tableau Web Authoring to create best practice dashboards and stories from data
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Logistic Regression 101: US Household Income Classification
In this hands-on project, we will train Logistic Regression and XG-Boost models to predict whether a particular person earns less than 50,000 US Dollars or more than 50,000 US Dollars annually. This data was obtained from U.S. Census database and consists of features like occupation, age, native country, capital gain, education, and work class.
By the end of this project, you will be able to:
- Understand the theory and intuition behind Logistic Regression and XG-Boost models
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Data Visualization & Storytelling in Python
Hello everyone and welcome to this new hands-on project on data visualization and storytelling in python. In this project, we will leverage 3 powerful libraries known as Seaborn, Matplotlib and Plotly to visualize data in an interactive way. This project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Create a Big Number KPI Dashboard in Tableau Public
Tableau is widely recognized as one of the premier data visualization software programs. For many years access to the program was limited to those who purchased licenses. Recently, Tableau launched a public version that grants the ability to create amazing data visualizations for free. Account members can also share and join projects to collaborate on projects that can change the world.
By the end of this project, you will learn how to create an easy-to-understand communication that will focus attention on specific metrics that guide decisions.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Sales Reporting with HubSpot
In this course, you will use your business data and identify key metrics in order to report on sales with HubSpot’s dashboards. First, you will learn how to operate a data-driven business and how to audit, clean, and organize your data within HubSpot’s CRM. You will then learn to identify the key metrics used to analyze your data on sales and customer service success, within the stages of the Inbound Methodology. This will cover types of testing, using the Sales Hub tools, and reporting in each stage of the methodology.
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Course by
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Self Paced
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الإنجليزية
Visualizing Data in the Tidyverse
Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s going on in the data set. Similarly, once you’ve completed your analysis and are ready to present your findings, data visualizations are a highly effective way to communicate your results to others.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية
Getting Started with Data Warehousing and BI Analytics
Kickstart your Data Warehousing and Business Intelligence (BI) Analytics journey with this self-paced course. You will learn how to design, deploy, load, manage, and query data warehouses and data marts. You will also work with BI tools to analyze data in these repositories.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية
A Simple Scatter Plot using D3 js
During this guided project, you will create a simple scatter plot using D3 js. Starting from loading our dataset we are going to cover some steps in order to create a fully functional scatter plot. We will also cover some important topics in data visualization such as Linear and Ordinal scaling to best visualize our data. Having the knowledge of javascript programming language and the basics of d3 js are the two most important prerequisites to get the most out of this guided project.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Data Visualization with Plotly Express
Welcome to this project-based course on Data Visualization with Plotly Express. In this project, you will create quick and interactive data visualizations with Plotly Express: a high-level data visualization library in Python inspired by Seaborn and ggplot2. You will explore the various features of the in-built Gapminder dataset, and produce interactive, publication-quality graphs to augment analysis. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية