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Shifting the Balance - How Top Organizations Beat the Competition by Combining Intuition with Data

Mark Schrutt

Advanced Data Analytics with AWS - Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources

Joseph Conley

Ultimate Python Libraries for Data Analysis and Visualization - Leverage Pandas NumPy Matplotlib Seaborn Julius AI and No-Code Tools for Data Acquisition Visualization and Statistical Analysis

Abhinaba Banerjee

Mastering Time Series Analysis and Forecasting with Python - Bridging Theory and Practice Through Insights Techniques and Tools for Effective Time Series Analysis in Python

Sulekha AloorRavi

Cracking the Data Science Interview - Unlock insider tips from industry experts to master the data science field

Leondra R. Gonzalez, Aaren Stubberfield

Data Cleaning with Power BI - The definitive guide to transforming dirty data into actionable insights

Gus Frazer

Learn T-SQL Querying - A guide to developing efficient and elegant T-SQL code

Pedro Lopes, Pam Lahoud

Principles of Data Science - A beginner's guide to essential math and coding skills for data fluency and machine learning

Sinan Ozdemir

Deep Learning - Computer Vision Python Machine Learning And Neural Networks

Rob Botwright

Algorithms - Computer Science Unveiled

Rob Botwright

Ultimate Parallel and Distributed Computing with Julia For Data Science - Excel in Data Analysis Statistical Modeling and Machine Learning by leveraging MLBasejl and MLJjl to optimize workflows

Nabanita Dash

DBMS MASTER - Become Pro in Database Management System

Ummed Singh

Ultimate Excel with Power Query and ChatGPT - Master MS Excel's Dynamic Lookup Functions Generative AI and Power Query to Navigate Data Solve Complex Tasks and Optimize Productivity

Crispo Mwangi (Mvp)

All About Data Science - Learn Data Science from scratch

Devi Prasad

Data Engineering with AWS - Acquire the skills to design and build AWS-based data transformation pipelines like a pro

Gareth Eagar

The Statistics and Machine Learning with R Workshop - Unlock the power of efficient data science modeling with this hands-on guide

Liu Peng

Advanced Analytics with Power BI and Excel - Learn powerful visualization and data analysis techniques using Microsoft BI tools along with Python and R

Dejan Sarka

Hands-On Web Scraping with Python - Extract quality data from the web using effective Python techniques

Anish Chapagain

Building ETL Pipelines with Python - Create and deploy enterprise-ready ETL pipelines by employing modern methods

Brij Kishore Pandey, Emily Ro Schoof

Modern Data Architecture on AWS - A Practical Guide for Building Next-Gen Data Platforms on AWS

Behram Irani

Data Wrangling on AWS - Clean and organize complex data for analysis

Navnit Shukla, Sankar M, Sampat Palani

AI & Data Literacy - Empowering Citizens of Data Science

Bill Schmarzo

Exploratory Data Analysis with Python Cookbook - Over 50 recipes to analyze visualize and extract insights from structured and unstructured data

Ayodele Oluleye

Practical Guide to Azure Cognitive Services - Leverage the power of Azure OpenAI to optimize operations reduce costs and deliver cutting-edge AI solutions

Andy Roberts, Chris Seferlis, Christopher Nellis

Forecasting Time Series Data with Prophet - Build improve and optimize time series forecasting models using Meta's advanced forecasting tool

Greg Rafferty

Geospatial Analysis with SQL - A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL

Bonny P McClain

Data Analytics Using Splunk 9x - A practical guide to implementing Splunk's features for performing data analysis at scale

Dr. Nadine Shillingford

Graph Data Processing with Cypher - A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

Ravindranatha Anthapu

Data Literacy in Practice - A complete guide to data literacy and making smarter decisions with data through intelligent actions

Angelika Klidas, Kevin Hanegan

Codeless Time Series Analysis with KNIME - A practical guide to implementing forecasting models for time series analysis applications

KNIME AG, Corey Weisinger, Maarit Widmann, Daniele Tonini