Fundamentals of data analytics: Learn essential skills, embrace the future, and catapult your career in the data-driven world - A comprehensive guide to data literacy for beginners (Record no. 22071)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 03056 a2200193 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240831175010.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240327b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 979-8869073938 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Dawson, Russell |
| 245 ## - TITLE STATEMENT | |
| Title | Fundamentals of data analytics: Learn essential skills, embrace the future, and catapult your career in the data-driven world - A comprehensive guide to data literacy for beginners |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi, |
| Name of publisher, distributor, etc. | JWS Publishing: |
| Date of publication, distribution, etc. | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 166p., ref., 23 cm X 15 cm |
| 500 ## - GENERAL NOTE | |
| General note | Recommended by: Banikanta Mishra<br/>------------------------------------------------- |
| 521 ## - TARGET AUDIENCE NOTE | |
| Target audience note | [11:16 PM, 8/31/2024] Piyush Makwana: 1. DATA ANALYTICS IN A DATA-DRIVEN WORLD<br/><br/>What Is Data Analytics?<br/><br/>Types of Data Analytics<br/><br/>The Data Analytics Process<br/><br/>2. UNDERSTANDING THE COMPONENTS OF A DATA PROBLEM<br/><br/>Dealing With Raw Data and Datasets<br/><br/>Data Management Techniques for Data Collection<br/><br/>and Storage<br/><br/>The cat roof is grey on the<br/><br/>The grey cat is on the roof.<br/><br/>What Is a Dataset?<br/><br/>Breaking Down the Components of a Data Problem<br/><br/>Input Transformation → Analysis → Output Case Study: What Is the Problem/Question?<br/><br/>3. DATA MANAGEMENT TECHNIQUES FOR DATA COLLECTION AND STORAGE<br/><br/>Data Management<br/><br/>Where Can Data Be Sourced and Collected?<br/><br/>Types of Data Sources<br/><br/>Data Collection Tools and Software<br/><br/>Storing Huge Amounts of Data Finding the Correct Source<br/><br/>4. REMOVING DUPLICATES, ERRORS AND<br/><br/>INCOMPLETE DATA<br/><br/>Data Cleaning: Scrubbing Datasets to Achieve Good Data Quality<br/><br/>Data-Cleaning Tools and Techniques for Removing Errors<br/><br/>Tools for Data Cleaning<br/><br/>Using Blockchain to Clean Up Messy Data<br/>[11:18 PM, 8/31/2024] Piyush Makwana: 5. DATA ANALYSIS TOOLS, TECHNIQUES, AND BEST PRACTICES<br/><br/>The Data Professional's Toolkit: Critical Data Analysis Techniques You Need to Know Tools and Software for Efficient Data Analysis Data Analysis Pro Tips: Best Practices for Data Professionals<br/><br/>6. MACHINE LEARNING MODELS AND ALGORITHMS<br/><br/>ML Analytics in Today's World<br/><br/>ML Models and Algorithms<br/><br/>Key Considerations in Building ML Models<br/><br/>7. REAL-TIME BUSINESS INTELLIGENCE ANALYTICS<br/><br/>The Data-Driven Culture in Business<br/><br/>How BI Works BI Analytics Techniques, Tools, and Methodologies<br/><br/>8. DEVELOPING A CRITICAL THINKING AND PROBLEM-SOLVING MINDSET Developing a Mindset for Problem-Solving Problem-Solving Skills Every Data Professional Needs Case Studies: What It Takes to Be a Great Problem-Solver<br/>[11:18 PM, 8/31/2024] Piyush Makwana: 9. DATA STORYTELLING AND VISUALIZATION<br/><br/>The Power of Data Storytelling Types of Data Visualizations Tools for Creating Interactive and Dynamic Visuals Data Visualization and Storytelling Tips and Best Practices<br/><br/>10. PREPARING FOR THE NEXT REVOLUTION IN DATA ANALYTICS<br/><br/>Career Opportunities in Data Analytics The Convergence of Two Worlds: How Digitalization Is Impacting the Data-Driven World The Four Emerging Pillars of the Digital World |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| General subdivision | data science |
| -- | machine learning |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | KEIC | KEIC | 03/23/2024 | T V Enterprises | 1725.14 | 924/23-24 | 006.31 DAW | 22908 | 03/27/2024 | 1294.00 | 03/23/2024 | Books |