

دوراتنا

Assess for Success: Marketing Analytics and Measurement
Assess for Success: Marketing Analytics and Measurement is the fifth of seven courses in the Google Digital Marketing & E-commerce Certificate. This course explores marketing analytics practices and tools. Digital marketing and e-commerce professionals are expected to analyze data from various sources (such as web pages, digital marketing channels, and e-commerce sites) and use them to gain customer insights. You’ll create media plans and set performance goals.
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Course by
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Self Paced
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26 ساعات
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الإنجليزية

Fake Instagram Profile Detector
In this hands-on project, we will build and train a simple artificial neural network model to detect spam/fake Instagram accounts. Fake and spam accounts are a major problem in social media. Many social media influencers use fake Instagram accounts to create an illusion of having so many social media followers. Fake accounts can be used to impersonate or catfish other people and be used to sell fake services/products.
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
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Course by
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Self Paced
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4 ساعات
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الإنجليزية

Design and Visualize Impact Metrics in Miro
By the end of this project, you will be able to create a performance framework to design and visualize Key Performance Indicators (KPIs) that indicate project and overall business health.
To do this, you will gain hands-on experience designing and visualizing impact metrics in the Miro online visual collaboration platform for teamwork.
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

XG-Boost 101: Used Cars Price Prediction
In this hands-on project, we will train 3 Machine Learning algorithms namely Multiple Linear Regression, Random Forest Regression, and XG-Boost to predict used cars prices. This project can be used by car dealerships to predict used car prices and understand the key factors that contribute to used car prices.
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 XG-Boost Algorithm
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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

Data-Driven Process Improvement
By the end of this course, learners are empowered to implement data-driven process improvement objectives at their organization. The course covers: the business case for IoT (Internet of Things), the strategic importance of aligning operations and performance goals, best practices for collecting data, and facilitating a process mapping activity to visualize and analyze a process’s flow of materials and information.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية