Business Analytics with Excel: Elementary to Advanced (training)

Colleagues, the “Business Analytics with Excel: Elementary to Advanced” introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world business problems using Excel. Emphasis will be not on the "how-to" of Excel, but rather on formulating problems, translating those formulations into useful models, optimizing and/or displaying the models, and interpreting results. The course will prepare managers who are comfortable with translating trade-offs into models, understanding the output of the software, and who are appreciative of quantitative approaches to decision making. Business analytics makes extensive use of data and modeling to drive decision making in organizations. This class focuses on introducing students to analytical frameworks used for decision making to make sense of the data, starting from the basics of Excel and working up to advanced modeling techniques. Gain high-demand skills in Modeling, Spreadsheets, Microsoft Excel, Business Analytics and Solver. Training modules include: 1) Introduction to Excel: Basics and Best Practice, 2) What-If Analysis in Excel, 3) Decision Analysis through Regression and NPV, 4) Linear Programming, 5) Transportation and Assignment Problems, and 6) Integer Programming and Nonlinear Programming.

Enroll today (teams & executives are welcome): imp.i384100.net/4P19K3 

Download your free Software Development - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (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, Lawrence E. Wilson - Online Learning Central (share with your team)  

Introduction to R (training)

Colleagues, in the “Introduction to R” training you will master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets. You’ll get started with basic operations, like using the console as a calculator and understanding basic data types in R. Once you’ve had a chance to practice, you’ll move on to creating vectors and try out your new R skills on a data set based on betting in Las Vegas. Next, you’ll learn how to work with matrices in R, learning how to create them, and perform calculations with them. You’ll also examine how R uses factors to store categorical data. Finally, you’ll explore how to work with R data frames and lists. Master the R Basics for Data Analysis - use R for your own data analysis. These sought-after skills can help you progress in your career and set you up for further learning. This course is part of several tracks, including Data Analyst with R, Data Scientist with R, and R Programming, all of which can help you develop your knowledge. Training modules include: 1) Intro to R Basics - learn how to use the console as a calculator and how to assign variables. You will also get to know the basic data types in , 2) Matrices - you will be able to create matrices and understand how to do basic computations with them. You will analyze the box office numbers of the Star Wars movies and learn how to use matrices in R, 3) Data frame - create a data frame, select interesting parts of a data frame, and order a data frame according to certain variables, 3) Vectors - learn how to analyze your gambling results using vectors in R. After completing this chapter, you will be able to create vectors in R, name them, select elements from them, and compare different vectors, 4) Factors - data often falls into a limited number of categories. Factors are very important in data analysis, so start learning how to create, subset, and compare them now, and 5) Lists - lists can hold components of different types, just as your to-do lists can contain different categories of tasks. This chapter will teach you how to create, name, and subset these lists.

Enroll today (teams & executives are welcome): https://datacamp.pxf.io/rQ61Yy 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

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

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

Much career success, Lawrence E. Wilson - AI Academy (share with your team) https://tinyurl.com/hh7bf4m9 

Introduction to SQL (training)

Colleagues, the “Introduction to SQL” program will teach you how to create and query relational databases using SQL in just two hours. Learn how Relational Databases are Organized: SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction. Write Your First SQL Queries: The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results. Skill-based training modules include: 1) Understand the Difference Between PostgreSQL and SQL Server -  two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course, you’ll have some hands-on experience in learning SQL and the grounding to start applying it to projects or continue your learning in a more specialized direction, 2) Relational Databases - Before writing any SQL queries, it’s important to understand the underlying data. In this chapter, we’ll discover the role of SQL in creating and querying relational databases. Using a database for a local library, we will explore database and table organization, data types and storage, and best practices for database construction, and 3) Querying - learn your first SQL keywords for selecting relevant data from database tables! After practicing querying skills in a database of books, you’ll customize query results using aliasing and save them as views so they can be shared. Finally, you’ll explore the differences between SQL flavors and databases such as PostgreSQL and SQL Server.

Enroll today (teams & executives are welcome): https://datacamp.pxf.io/da1qY7 

Download your free Software Development - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (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, Lawrence E. Wilson - Online Learning Central (share with your team)  

Top 20 IT Certification Countdown - #20: Microsoft’s Azure Administrator Associate (average salary: $120,622)

Colleagues, according to the Skillsoft 2024 IT Skills and Salary Survey the “Microsoft’s Azure Administrator Associate” average annual salary. This training program will equip you to pass the certification exam while expanding your career and earnings potential. Microsoft continually proves to be one of the most popular certification providers represented in the survey. What’s more, it’s the top vendor IT leaders plan to invest in this coming year, with 46% in agreement. Gain highly marketable skills in Azure RBAC, Site Recovery, Microsoft Entra ID, VM, Monitor, Containers, Storage Services, Backup and Kubernetes Services. Skill-based training modules address: 1) Manage Identities and Governance in Azure, 2) Storage in Azure, 3) Compute Resources in Azure, 4) Virtual Networks in Azure, and 5) Monitoring and Backup in Azure. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/0ZLBWM

Download your free complimentary Cloud Computing  - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (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, Lawrence E. Wilson - Online Learning Central (share with your team)  

Introduction to Python (training)

Dev colleagues, in the “Introduction to Python” training you will master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages. This is a Python course for beginners, and is designed for people with no prior Python experience. It is even suitable if you have no coding experience at all. You will cover the basics of Python, helping you understand common, everyday functions and applications, including how to use Python as a calculator, understanding variables and types, and building Python lists. The first half of this course prepares you to use Python interactively and teaches you how to store, access, and manipulate data using one of the most popular programming languages in the world. Explore Python Functions and Packages: The second half of the course starts with a view of how you can use functions, methods, and packages to use code that other Python developers have written. As an open-source language, Python has plenty of existing packages and libraries that you can use to solve your problems. Get Started with NumPy: NumPy is an essential Python package for data science. You’ll finish this course by learning to use some of the most popular tools in the NumPy array and start exploring data in Python. Skill-based training lessons include: 1) Python Basics - learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types, 2) Python Lists - Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data, 3) Functions and Packages - use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems, and 4) NumPy - NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.

Enroll today (teams & executives are welcome): https://datacamp.pxf.io/AWJYvN  

Download your free Software Development - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (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, Lawrence E. Wilson - Online Learning Central (share with your team)  

Explore the “Data Driven Organizations” Amazon Audible & Kindle Book Series

 

Data-Driven Organizations: 

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

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

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

Discover the “Interview Prodigy” Audible & Kindle Book Series

The Interview Prodigy (https://tinyurl.com/3ad6vs69)

1 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

2 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

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

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

Discover the ”Transformative Innovation” Amazon audio & ebook series

Discover the ”Transformative Innovation” Amazon audio & ebook series  

Transformative Innovation:

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

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