Discrete Math for Computer Science - Algorithms & Recursion

Colleagues, the “Discrete Math for Computer Science - Algorithms & Recursion” focuses on the mathematical foundations behind algorithms, efficiency, and recursive problem solving, building on the logic and counting techniques developed in earlier courses. It introduces key ideas from number theory and shows how they naturally lead to efficient algorithms used throughout computer science. The course begins with modular arithmetic, divisibility, and greatest common divisors, leading to classic algorithms such as the Euclidean algorithm and its extended form. These concepts are then applied to practical problems in cryptography, including modular exponentiation, key exchange, and public-key encryption, illustrating how abstract mathematics enables secure communication. You will learn to: Analyse algorithm efficiency using asymptotic growth and mathematical reasoning. Apply number theory concepts to algorithms and basic cryptographic systems. Design and reason about recursive algorithms using induction and recurrence relations. Gain high-demand skills: Computational Thinking, Key Management, Encryption, Applied Mathematics, Mathematical Theory and Analysis, Algorithms, Theoretical Computer Science, Combinatorics, Arithmetic, and Cryptography. Training lessons address: 1) Modular Arithmetic, 2) Greatest Common Divisor, 3) Cryptography, 4) Algorithms, 5) Induction, and 6) Recursion.

Enroll today!: Teams and executives are welcome: https://imp.i384100.net/k4PG0n 

Recommended Readings: 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)

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

Statistics and Data Science - Methods Track (MITx)

Colleagues, the “MicroMasters® program in Statistics and Data Science (SDS)” program was developed by MITx and the MIT Institute for Data, Systems, and Society (IDSS). It is a multidisciplinary approach consisting of four separate tracks with four online courses each and a virtually proctored exam. Each track focuses on a combination of methods-centered courses and domain analysis courses to provide you with foundational knowledge and hands-on training. All learners complete the Probability and Machine Learning courses, two other courses determined by the chosen track, and the Capstone Exam. Skill-based training modules include: 1) Probability - The Science of Uncertainty and Data, 2) Machine Learning with Python: from Linear Models to Deep Learning, 3) Fundamentals of Statistics, 4) Learning Time Series with Interventions, and 5) Capstone Exam in Statistics and Data Science.

Enroll today!: Teams and executives are welcome: https://edx.sjv.io/6kDJRr 

Recommended Reading: “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)

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

Google Data Analytics Professional Certificate

Colleagues, in the “Google Data Analytics Professional Certificate” certificate program, you’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required. Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, Python, Tableau). Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and Python. Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms. You will acquire high-demand skills in Interviewing, Data Structures, Data Presentation, Object Oriented Programming (OOP), Data Analysis, Data Literacy, Data Ethics, Data Visualization, Interactive Data Visualization, Data Validation, Web Presence, Sampling (Statistics), Data Cleansing, Data Storytelling, Spreadsheet Software, and Stakeholder Communications. Applied Learning Project: Includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job. Training modules will cover: 1) Foundations: Data, Data, Everywhere, 2) Ask Questions to Make Data-Driven Decisions, 3) Prepare Data for Exploration, 4) Process Data from Dirty to Clean, 5) Analyze Data to Answer Questions, 6) Share Data Through the Art of Visualization, 7) Introduction to Data Analysis Using Python, 8) Google Data Analytics Capstone: Complete a Case Study, and 9) Accelerate Your Job Search with AI.

Enroll today!: Teams and executives are welcome: https://imp.i384100.net/nLaGo6 

Recommended Readings: 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)

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

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)