Tableau & Data Visualization: Certification Practice Exams

Ace your data analyst interview with 200 realistic questions on LOD Expressions, Dashboards, and Data Blending.

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Cloud Data Engineering: Snowflake & Databricks Exams

Ace your data engineering interviews with 200 realistic questions on Delta Lake, Snowpipe, and Spark Architecture.

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Machine Learning & AI Fundamentals: Practice Exams

Ace data science interviews with 200 questions on TensorFlow, CNNs, Hyperparameter Tuning, and Evaluation Metrics.

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Python for AI: Learn Python, Machine Learning & ChatGPT API

Build real AI projects: chatbots, image recognition & data analysis. No coding experience needed.

🏷 Category: Teaching & Academics
🌍 Language: English
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Google Cloud Data Engineer (GCP): Practice Exams

Pass your GCP exam with 200 unique practice questions on BigQuery, Dataflow, Pub/Sub, and Machine Learning pipelines.

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[NEW] CompTIA Data+ ce - Exam Preparation 2026

CompTIA Data+ ce – 6 Practice Exams with Detailed Explanations for Every Question and Option

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Data Structures & System Design: Tech Interview Exams

Ace your coding interviews with 200 practice scenarios on Big O, Graph Traversals, Load Balancing, and Microservices.

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Machine Learning & Predictive Modeling: Practice Exams

Validate your Data Science skills with 200 practice scenarios on TensorFlow, Regression, and Ensemble Methods.

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Microsoft Power BI Data Analyst (PL-300): Practice Exams

Pass the PL-300 exam with 200 unique practice questions on DAX, Power Query, Data Modeling, and RLS implementation.

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Corporate Diploma in European (EU) GDPR & Data Protection

GDPR Foundation, Data Privacy, General Data Protection Regulation, Data Protection Rights, GDPR Compliance

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Executive Storytelling & C-Suite Data Presentations

Master the Minto Pyramid, Data-to-Ink Ratio & High-Stakes Boardroom Communication to Win Executive Approval

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👥 Students: 106 students
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Databricks Data Analyst Assoc. Full 6 Practice Tests 2026

Pass Databricks Data Analyst Assoc. exam with realistic practice tests, detailed explanations, and real-world scenarios

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🌍 Language: English
👥 Students: 538 students
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Practical Data Entry Course

Train with a virtual assistant who earns from data entry!

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SQL for Business Analytics & Data Analysis: 200 Practice Q&A

Practice SQL queries, joins, aggregations, window functions, CTEs, and real-world business analytics scenarios with 200

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🌍 Language: English
👥 Students: 210 students
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Master Java Data Structures and Algorithms

Practice solving LeetCode-style problems using Java and improve your coding skills.

💡 Why this is useful: Learn to solve problems with linear data structures and algorithms to prepare for technical interviews and assessments.
👤 Best for: Software engineers, computer science students, and tech professionals.
✅ After this course: Master LeetCode-style problems across linear data structures using clean, idiomatic Java.

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Machine Learning & Deep Learning with Python: with Projects

uild neural networks, image classifiers & prediction models with scikit-learn, TensorFlow and Keras. Beginner friendly.

🏷 Category: Teaching & Academics
🌍 Language: English
👥 Students: 129 students
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Coding the Brain: AI & Machine Learning for BCIs

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SQL for Business Analytics & Data Analysis: 200 Practice Q&A

Practice SQL queries, joins, aggregations, window functions, CTEs, and real-world business analytics scenarios with 200

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Machine Learning & Deep Learning with Python: with Projects

uild neural networks, image classifiers & prediction models with scikit-learn, TensorFlow and Keras. Beginner friendly.

🏷 Category: Teaching & Academics
🌍 Language: English
👥 Students: 129 students
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Python with Machine Learning: Building AI Models from Scratch

Learn machine learning fundamentals and Python programming to build real-world AI models using scikit-learn, pandas, and NumPy.

💡 Why this is useful: This course provides a hands-on introduction to machine learning and Python programming, essential skills for building intelligent applications.
👤 Best for: Beginners and intermediate learners of machine learning and Python programming.
✅ After this course: Implement supervised and unsupervised learning models, evaluate their performance, and build practical AI applications.

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