Master the Power BI Basics and Data Visualization

Colleagues, in the “Master the Power BI Basics and Data Visualization” program you’ll gain a 360° overview of the Power BI basics and learn how to use the tool to build impactful reports. In this course, you’ll go from zero to hero as you discover how to use this popular business intelligence platform through hands-on exercises. Before diving into creating visualizations using Power BI's drag-and-drop functionality, you’ll first learn how to confidently load and transform data using Power Query and the importance of data models. You’ll also learn to drill down into reports and make your reports fully interactive. You’ll start by looking at some of the fundamentals of Power BI, getting to grips with Data, Model, and Report views. You’ll learn to load data sets, build a data model, and discover how to shape and transform your data with Power Query Editor. As you progress through the course, you’ll have access to hands-on exercises that can hone your skills. You’ll look at various visualizations, sort different data types, and learn to drill deeper into your reports. Create Powerful Data Visualizations. Skill-based training modules include: 1) Getting Started with Power BI - Discover how to navigate this intuitive tool and get to grips with Power BI’s Data, Model, and Report views. You’ll load multiple datasets in the Data view, build a data model to understand the relationships between your tables in Model view, and create your first bar graph and interactive map visualization in Report view. You’ll also practice using Power Query Editor to prep your data for analysis, 2) Visualizing Data - Through hands-on exercises, you’ll learn how to change and format a wide range of visualizations, before moving on to sorting data and creating hierarchies—making it possible for you to drill into your reports, 3) Transforming Data - Learn how to shape and transform your data before the data analysis using Power Query Editor, and 4) Filtering - Discover how to filter the information in your reports by location and control how these filters interconnect and interact with other visuals in your report.

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

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 

Certified Prompt Engineering Expert (CPEE)™

Colleagues, in the “Certified Prompt Engineering Expert (CPEE)™” program you will develop an in-depth understanding of Large Language Models and prompt engineering techniques, gain practical experience in using OpenAI API and implementing API calls for interacting with LLMs, and master advanced techniques for prompt engineering to effectively guide LLMs and generate the desired outputs. Gain an Introduction to Large Language Models, the fundamentals of prompting, patterns and techniques for prompt engineering, API calls with OpenAI API, GPT-4 extensions and their practical use cases, advanced prompt engineering and patterns for complex tasks and the future of advanced prompt patterns, AI and LLMs. And acquire prompt engineering skills involving interaction with large language models, building new applications and projects utilizing the power of LLMs, studying the potential and capabilities of using prompt patterns, discovering the latest industry trends and skills required for using LLMs in different applications, enhancing your career and business by creating complex prompt-based applications, and fuel your curiosity about the advancement in AI, the future of LLMs, and their use cases. Skill-based lessons address: 1) Introduction to Large Language Models, 2) Prompt Engineering Fundamentals, 3) Prompt Engineering Techniques, 4) Using the OpenAI API, 5) Advanced Prompt Engineering, 6) Use Cases and Demonstrations, 7) ChatGPT Plugins, 8) Ethics, Limitations, and Future of LLMs, and 9) Certification Exam.

Enroll today (teams & executives are welcome): https://tinyurl.com/564tx2w7 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

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) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Certified ChatGPT Professional (CCGP)™

AI colleagues, become a  “Certified ChatGPT Professional (CCGP)™” and accelerate your career and earnings potential. Take a dive deep into the world of ChatGPT, AI, Machine Learning, and NLP. Learn the best practices for integration and customization of ChatGPT. Gain hands-on expertise & implement your ChatGPT skills in real-world projects. The Certified ChatGPT Professional certification program is a comprehensive learning resource tailored to help you achieve professional expertise in using ChatGPT. You will learn the best practices and techniques for prompting with ChatGPT, the different types of ChatGPT integrations and tools, and advanced topics in NLP and AI. The CCGP certification course also helps you familiarize yourself with the use of GPTs. On top of it, learners will also get acquainted with best practices for the customization of GPT models to fit specific use cases. Gain an introduction to ChatGPT, AI, ML, and NLP. The use cases and ethical implications of ChatGPT. Techniques, strategies, and best practices in prompting. ChatGPT integration and tools. Advanced topics on LLMs and NLP. Popular GPTs and use cases. Working on hands-on projects with ChatGPT. Skill-based lessons include: 1) ChatGPT Fundamentals, 2) Applications and Ethical Considerations of ChatGPT, 3) Master Prompting, 4) ChatGPT Integration and Tools, 5) Advanced Topics in AI and NLP, 6) Working with Custom GPTs, 7) Custom GPT Tutorial, 8) Hands-On Projects, 9) Updates, Trends and Bonus Content and demonstration, and 10) Certification Exam.

Enroll today (teams & executives are welcome): https://tinyurl.com/28k6vuht 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

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

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

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

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Data Science Course: Complete Data Science Bootcamp 2024

Colleagues, the “Data Science Course: Complete Data Science Bootcamp 2024” provides you with training in Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning. This course provides the entire toolbox you need to become a data scientist. Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow. Impress interviewers by showing an understanding of the data science field. Learn how to pre-process data. Understand the mathematics behind Machine Learning. Start coding in Python and learn how to use it for statistical analysis. Perform linear and logistic regressions in Python. Carry out cluster and factor analysis. Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn. Apply your skills to real-life business cases. Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data. Unfold the power of deep neural networks. Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance. The class includes 31 hours on-demand video, 137 coding exercises, 93 articles, 541 downloadable resources, full lifetime access and a certificate of completion. Lessons address: 1) The Various Data Science Disciplines, 2) Popular Data Science Techniques, 3) Probability - Combinatorics, 4) Bayesian Inference, 5) Distributions, 6) Inferential Statistics Fundamentals, 7) Descriptive Statistics, 8) Python - Variables and Data Types, 9) Variables and Data Type, 10) Basic Python Syntax, 11) Python Operators, 12) Conditional Statements, 13) Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis, 14) Multiple Linear Regression with StatsModels, 15) Sci-kit learn, 16) Classifying on the MNIST Dataset, 17) Overfitting, 18) TensorFlow, 19) Pandas, and much more.

Enroll today (teams & executives are welcome): https://tinyurl.com/yzcxz563 

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 

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

Colleagues, the purpose of the “AI Software Engineer: ChatGPT, Bard and Beyond” (Interview Prodigy series) help software engineers and developers capture their ideal job offer and manage their medium-to-long-term career growth in the global artificial intelligence arena. We will focus on artificial intelligence software engineers and developers in this series. Artificial intelligence has proven to be a revolutionary part of the digital era. As a result, top tech giants like Amazon, Google, Apple, Facebook, Microsoft, and International Business Machines Corporation have been investing significantly in the research and development of artificial intelligence. As a result, these companies are contributing well to making A.I. more accessible for businesses. In addition, different companies have adopted A.I. technology for improved customer experience. For example, in March 2020, McDonald's invested $300 million to acquire an A.I. startup in Tel Aviv to provide a personalized experience for its customers using artificial intelligence. This was its most significant tech investment.

AI Engineers have many opportunities, which will only grow with time. After reading this book, I hope you can identify your ideal job offer and manage your short- and long-term career growth plan, especially in artificial intelligence. The world of artificial intelligence is vast. As I stated earlier in this book, it has a current market size of $136.55 billion based on a 2022 report by CAGR, and it will likely reach a growth rate of 37.3% from 2023 to 2030. You can study artificial intelligence from three aspects. First, the narrow artificial intelligence: this is where you learn about strong AI, artificial general intelligence, and narrow artificial intelligence, also known as weak AI. As I mentioned earlier in this book, the tech we use daily is known as narrow artificial intelligence mainly because it focuses on one narrow task. An example is a chess computer, Siri, or Alexa. Artificial narrow intelligence generally operates within a limited predetermined range. Then there is machine learning, an application that allows systems and computers to learn and improve without being programmed. This idea aims to enable systems to learn and adapt automatically without human involvement or support. Deep learning enables inventors to enhance technology such as self-driving vehicles, speech recognition, and facial identification.

Order today: 

(Audible) https://tinyurl.com/mae9ku3b

 (Kindle) https://tinyurl.com/27jux34w 

 “Interview Prodigy” audio & ebook series on Amazon for your reading-listening pleasure (https://tinyurl.com/57ehhjb2). 

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)

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

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

Colleagues, “The Promise of Data-Driven Decision Making” 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