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Gate Smashers

Data Warehouse & Data Mining

via YouTube Video playlist

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Overview

Data Warehousing and Data Mining are essential for managing and analyzing vast amounts of data, helping businesses make informed decisions. Whether you are a beginner, student, or preparing for competitive exams, certifications, or job interviews, this complete playlist covers everything you need to become a data expert!

What You’ll Learn in This Playlist?

✅ Introduction to Data Warehousing – Concepts, evolution, and real-world applications

✅ Data Warehouse Architecture – OLAP, OLTP, Star & Snowflake Schemas

✅ ETL Process (Extract, Transform, Load) – Data integration and transformation

✅ Data Mining Basics – Techniques, algorithms, and real-life use cases

✅ Classification & Clustering – Decision Trees, K-Means, and Neural Networks

✅ Association Rule Mining – Apriori algorithm and market basket analysis

✅ Big Data & Data Warehousing – Integration with Hadoop & Spark

✅ Data Warehouse Security & Privacy – Access control and compliance

✅ Industry Use Cases – How Amazon, Google, and Netflix use data mining

✅ Career Opportunities in Data Science & Analytics – Jobs, certifications, and future trends

Who Is This Playlist For?

✔️ Engineering, BCA, MCA, and IT Students preparing for university exams

✔️ Beginners who want to start a career in Data Science & Analytics

✔️ Job seekers preparing for interviews in Data Engineering, AI, and Machine Learning

✔️ IT Professionals & Developers looking to upskill in Data Warehousing & Mining

✔️ Entrepreneurs & Startups exploring data-driven business strategies

🔥 Why Watch This Playlist?

🔹 40+ well-structured videos covering both academic syllabus & industry trends

🔹 Real-world case studies and hands-on demonstrations

🔹 Beginner-friendly yet industry-level depth

🔹 Covers top interview & certification topics with easy explanations

🔔 Subscribe now & start your journey in Data Warehousing & Mining! 🚀

#DataWarehousing #DataMining #ETL #BigData #DataAnalytics #OLAP #OLTP #StarSchema #SnowflakeSchema #DataScience #MachineLearning #DataEngineering #DataVisualization #Hadoop #Spark #DataSecurity #ArtificialIntelligence #DataDrivenDecisions #PredictiveAnalytics #BusinessIntelligence #DataMiningTechniques #DataWarehouseArchitecture #AprioriAlgorithm #DecisionTree #KMeans #NeuralNetworks #MarketBasketAnalysis #BI #CloudDataWarehouse #FutureOfData #DataAnalyticsCareer

Videos in this playlist 25

  1. Lec-1: Complete Data Warehouse & Data Mining Syllabus for College/University Exams
  2. Lec - 2: Introduction to Data Warehouse🏺 with Examples
  3. Lec - 3: ETL (Extract, Transform, Load) | Data 📊Aggregation | Data Warehouse🏭 & Mining ⛏️
  4. Lec - 4: Data Extraction | Challenges and Complexity
  5. Lec - 5 : What is Star Schema | Schema for Multi Dimensional Data Model | Data Warehouse
  6. Lec - 6 : Snowflake Schema in Data Warehouse | Schema for Multi Dimensional Data Model
  7. Lec - 7 : Introduction to OLTP | Online Transaction Processing
  8. Lec -8 : OLAP vs OLTP | Difference between OLAP vs OLTP with Real Life Examples
  9. OLAP vs OLTP #shorts #data #ytshorts #education
  10. Lec - 9 : Normalization in Data Transformation | Min-Max & Z-score Techniques with example
  11. Lec -10 : Introduction to Data Discretization with example
  12. Lec-32: What is Data Preprocessing & Data Cleaning | Various Techniques with Example
  13. Lec - 11 : ETL vs ELT in Data Warehouse 🏭
  14. Lec - 12 : Difference Between Data Warehouse, Data Mart & Data Lake
  15. Lec - 13 : OLAP operations with real life example | Data Warehouse
  16. Lec - 14: Types of Data | Real life example | Data Warehouse
  17. Lec -15 : Star vs Snowflake Schema | Data Warehouse
  18. Lec - 16 : LZW Algorithm With Example | Data Warehouse
  19. Lec - 17 : What is Sampling and It's types | Data Warehouse & Mining
  20. Lec - 18 : Market Basket Analysis (MBA) | Data Mining
  21. Lec - 19 : Apriori Algorithm in Data Mining | Real Life Example
  22. Lec - 20 : Frequent Pattern Growth Algorithm | How to create FP Tree
  23. Lec - 21 : Anomalies/Outliers in Data Mining
  24. Lec - 22 : Concept Hierarchy, Categorization & Computation | Data Warehouse
  25. Lec - 23 : Clustering in Data Mining Explained | Top Clustering Methods You MUST Know!

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • Taught in Hindi (or Hinglish), which many students find easier to follow.
  • Made for Indian students, with placement and exam context.
  • 724,494 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (25 videos) you can see before you start.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • Less depth than a university course on some topics.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Gate Smashers is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (76/100). GATE and university CS subjects in Hindi.

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