DeepSeek for Data Analysis

DeepSeek for Data Analysis

by Mohammod Shaharuzzaman
Epub (Kobo), Epub (Adobe)
Publication Date: 17/03/2025

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"DeepSeek for Data Analysis: The Future of Data Analysis for Business Professionals" is a comprehensive guide aimed at helping business professionals utilize DeepSeek, a no-code data analysis tool, to transform raw data into actionable insights. The book is divided into eight parts, each focusing on essential aspects of data analysis:


Getting Started with DeepSeek: Introduction to DeepSeek, setting up accounts, and importing data.


Data Cleaning and Preparation: Techniques for handling missing data, removing duplicates, and standardizing formats.


Exploring and Analyzing Data: Using summary statistics, filtering, and sorting to uncover insights.


Visualizing Data: Creating effective charts and interactive dashboards.


Advanced Analysis Techniques: Trend analysis, correlation analysis, and anomaly detection.


Automating Workflows and Reports: Automating data pipelines and generating reports.


Real-World Applications: Case studies on optimizing marketing, tracking financial performance, and improving operations.


Tips and Best Practices: Avoiding common pitfalls and staying updated with DeepSeek’s features.


Key Takeaways:


No-Code Revolution: Makes data analysis accessible without technical expertise.


Data Quality: Emphasizes the importance of data cleaning and preparation.


Visualization: Effective visualizations help communicate insights.


Automation: Saves time by automating repetitive tasks.


Real-World Impact: Demonstrates DeepSeek’s versatility across industries.


Why This Book Matters:

In a data-driven world, the ability to analyze data is crucial. This book equips professionals to make informed decisions, drive business growth, improve efficiency, and communicate data-driven stories effectively. Whether a beginner or an experienced professional, readers will gain the skills to harness DeepSeek’s full potential and transform their approach to data analysis.

ISBN:
6610000755684
6610000755684
Category:
Enterprise software
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
17-03-2025
Language:
English
Publisher:
Publishdrive

This item is delivered digitally

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