Listen to or read the newest “Data-Driven Organizations” Amazon Audible & Kindle Book Series

Listen to or read the newest “Data-Driven Organizations” Amazon Audible & Kindle Book Series 

Friends, greetings. Here are the newest “Data-Driven Organizations” audio and ebooks for your reading-listening pleasure (https://tinyurl.com/hh7bf4m9).

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

Data Engineer - Discover Your Path to Career Success (2026)

Colleagues, did you know that according to Mordor Intelligence “The Big Data Engineering Services Market size is estimated at USD 91.54 billion in 2025, and is expected to reach USD 187.19 billion by 2030, at a CAGR of 15.38% during the forecast period (2025-2030)”? For more details see the Indeed article “Data Engineer Job Description: Top Duties and Qualifications” (March 2025).

Job Titles: Data Engineer, Senior Data Engineer, Cloud Data Engineer, Big Data Engineer, Data Architect, ETL (Extract, Transform, Load) Developer, Data Pipeline Engineer, Analytics Engineer, Machine Learning Engineer (with Data Engineering focus), DataOps Engineer

Salaries: BuiltIn, Glassdoor, Indeed, Levels.fyi, PayScale, ZipRecruiter (will vary by experience level & location)

Career Opportunities: Dice, Indeed, Kaggle, LinkedIn, Monster, Simply Hired, Zip Recruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

• Azure Databricks & Spark For Data Engineers (PySpark/SQL) (Udemy)

• Big Data Architect Masters Program (Udemy)

• Cloud Database Engineer Specialization (Google)

• Database Engineer Professional Certificate (Meta)

• IBM Data Engineering Professional Certificate (IBM)

• Introduction to Data Engineering (Datacamp)

• Introduction to Data Engineering (IBM)

Begin your path to success today, Lawrence E. Wilson - Data Science Academy (share with colleagues & friends) 

Java Developer - Discover Your Path to Career Success (2026)

Colleagues, did you know that “The Java Development Services market is experiencing robust growth, driven by the enduring popularity of Java, its versatility across platforms, and the increasing demand for robust and scalable enterprise applications? The market size in 2025 is estimated at $25 billion, reflecting a healthy CAGR of 15% from 2019 to 2025” according to MR Forecast (March 2025)? For additional professional insights review the Indeed article “How To Become a Java Programmer - Plus Salary and Job Outlook” (March 2025). 

Job Titles: Java Developer, Senior Java Developer, Java Software Engineer, Full Stack Developer (Java-focused), Backend Developer (Java), Java Architect, Java Web Developer, Android Developer (Java/Kotlin), Java Enterprise Developer, Cloud Java Developer

Salaries: BuiltIn, Glassdoor, Indeed, PayScale, Talent.com, ZipRecruiter (will vary by experience level & location)

Career Opportunities: Dice, Indeed, LinkedIn, Simply Hired, Wellfound, Zip Recruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

• Become a Java Programmer

• Fundamentals of Java EE Development

• Java Masterclass

• Java Programming and Software Engineering Fundamentals 

• Object Oriented Programming in Java

• Professional Certificate in Java Programming 

Begin your path to success today, Online Learning Central (share with colleagues & friends) 

Databases and SQL for Data Science with Python

DS colleagues, would you like to boost your income by %5-10% and increase career growth? In the “Databases and SQL for Data Science with Python” program you will learn to analyze data within a database using SQL and Python. Create a relational database and work with multiple tables using DDL commands. Construct basic to intermediate level SQL queries using DML commands. And compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins. Gain high-demand skills with Transaction Processing, Stored Procedure, Data Manipulation, Databases, Data Analysis and SQL. Finally, you will learn the tools of the trade such as Pandas (Python Package), Query Languages, Python Programming, Jupyter, and Relational Databases. Skill-based training modules include: 1) Getting Started with Python, 2) Introduction to Relational Databases, 3) Intermediate SQL, 4) Accessing Databases with Python, 5) Course Assignment (Project), and 6) Advanced SQLs for Databases.

Enroll today!: Teams and executives are welcome: https://www.coursera.org/learn/sql-data-science 

Listen today via Amazon Audible (https://tinyurl.com/ydbyh2t9) 

Or read now on Kindle (https://tinyurl.com/hptundzs) 

This book is part of the “Data-Driven Organizations” series.

1 - The Promise of Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - “The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age” (Audible) (Kindle)

Order today, Much career success from the Data Science Academy (please subscribe and share with your colleagues)

“The Promise of Data-Driven Decision Making - From Analytics to Visualization and Beyond” (audio & ebook)

Colleagues, “The Promise of Data-Driven Decision Making” (Audible) Kindle is a powerful resource that has the potential to transform the way we approach problem-solving in both our personal and professional lives. By collecting and analyzing data, we can gain valuable insights into the world around us, and use that knowledge to make more informed decisions. Throughout this book, we have explored the various aspects of data-based decision making, including the benefits, challenges, and best practices. We have also examined the different tools and techniques that can be used to collect and analyze data, as well as the ethical considerations that must be taken into account.

Highly data-driven firms are three times more likely to report a major improvement in decision making, according to a large decision survey conducted by PWC. However, only one in three CEOs claim that their company is heavily data-driven. It comes up frequently in meetings with corporate leaders that executives have instant access to large volumes of data. We also learn that their personal intuition or gut feeling plays a significant role in their decision-making. How might the art and science of decision-making be combined better? A more efficient use of data and the capacity to draw insights are seen to present potential for enterprises to generate higher value. Analytics may support an organization's growth and innovation, increase productivity, and improve risk management when they are integrated into the culture of decision-making within the company. The use of facts, metrics, and data to inform strategic business decisions that are in line with a company's goals, objectives, and activities is known as data-driven decision-making. Interactive dashboards, work management platforms, and OKR tools are examples of modern analytics tools that assist individuals overcome prejudice and make the best management decisions that are in line with business strategies. Instead of making decisions based on intuition, opinion, or personal experience, it compiles historical data to examine trends and make better decisions for the future in relation to what has previously worked.

Listen today via Amazon Audible (https://tinyurl.com/ydbyh2t9) 

Or read now on Kindle (https://tinyurl.com/hptundzs) 

This book is part of the “Data-Driven Organizations” series.

1 - The Promise of Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Order today, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9