TY  - GEN
AU  - Dawson, Russell
TI  - 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
SN  - 979-8869073938
U1  - 006.31 
PY  - 2023///
CY  - New Delhi
PB  - JWS Publishing
KW  - data science
KW  - machine learning
N1  - Recommended by: Banikanta Mishra
-------------------------------------------------; [11:16 PM, 8/31/2024] Piyush Makwana: 1. DATA ANALYTICS IN A DATA-DRIVEN WORLD

What Is Data Analytics?

Types of Data Analytics

The Data Analytics Process

2. UNDERSTANDING THE COMPONENTS OF A DATA PROBLEM

Dealing With Raw Data and Datasets

Data Management Techniques for Data Collection

and Storage

The cat roof is grey on the

The grey cat is on the roof.

What Is a Dataset?

Breaking Down the Components of a Data Problem

Input Transformation → Analysis → Output Case Study: What Is the Problem/Question?

3. DATA MANAGEMENT TECHNIQUES FOR DATA COLLECTION AND STORAGE

Data Management

Where Can Data Be Sourced and Collected?

Types of Data Sources

Data Collection Tools and Software

Storing Huge Amounts of Data Finding the Correct Source

4. REMOVING DUPLICATES, ERRORS AND

INCOMPLETE DATA

Data Cleaning: Scrubbing Datasets to Achieve Good Data Quality

Data-Cleaning Tools and Techniques for Removing Errors

Tools for Data Cleaning

Using Blockchain to Clean Up Messy Data
[11:18 PM, 8/31/2024] Piyush Makwana: 5. DATA ANALYSIS TOOLS, TECHNIQUES, AND BEST PRACTICES

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

6. MACHINE LEARNING MODELS AND ALGORITHMS

ML Analytics in Today's World

ML Models and Algorithms

Key Considerations in Building ML Models

7. REAL-TIME BUSINESS INTELLIGENCE ANALYTICS

The Data-Driven Culture in Business

How BI Works BI Analytics Techniques, Tools, and Methodologies

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
[11:18 PM, 8/31/2024] Piyush Makwana: 9. DATA STORYTELLING AND VISUALIZATION

The Power of Data Storytelling Types of Data Visualizations Tools for Creating Interactive and Dynamic Visuals Data Visualization and Storytelling Tips and Best Practices

10. PREPARING FOR THE NEXT REVOLUTION IN DATA ANALYTICS

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
ER  -