Data Science with Python Certification

Colleagues, the “Data Science with Python Certification” program is accredited by NASSCOM. It will help you master important Python programming concepts such as data operations, file operations, object-oriented programming, and various Python libraries such as Pandas, Numpy, and Matplotlib essential for Data Science. This course is well-suited for professionals and beginners. This training will introduce you to different types of Machine Learning, Recommendation Systems, and other relevant concepts to kickstart your Data Science career. Skill-based training lessons address: 1) Introduction to Data Science and ML using Python, 2) Data Handling, Sequences and File Operations, 3) Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions, 4) Introduction to NumPy, Pandas, and Matplotlib, 5) Data Manipulation, 6) Introduction to Machine Learning with Python, 7) Supervised Learning - I & II, 8) Dimensionality Reduction, 9) Unsupervised Learning - Association Rules Mining and Recommendation Systems, 10) Reinforcement Learning, 11) Time Series Analysis, 12) Model Selection and Boosting, 13) Statistical Foundations, 14) Database Integration with Python, 15) Data Connection and Visualization in Tableau,16) Advanced Visualizations, and 17) In-Class Project. 

Enroll today (teams & executives are welcome): https://fxo.co/IgOl  

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 

Tableau Certification Training

DS & BI colleagues, the ‘Tableau Certification Training” will equip you with  in-depth knowledge of Tableau Prep Builder, Tableau Desktop, Charts, LOD expressions, Tableau Online, etc. This Tableau training will help you master the Business Intelligence tool, Data Visualization, and reporting. Throughout this online instructor-led training for Tableau, you will be working on real-life industry use cases in Retail, Entertainment, Transportation, and Life Sciences domains. Clear your Tableau Desktop, Analyst and Server certification exams with this Tableau course. Skill-based training lessons include: 1) Data Preparation using Tableau Prep, 2) Data Connection with Tableau Desktop, 3) Basic Visual Analytics, 4) Calculations in Tableau, 5) Advanced Visual Analytics, 6) Level Of Detail (LOD) Expressions In Tableau, 7) Geographic Visualizations in Tableau, 8) Advanced Charts in Tableau, 8) Dashboards and Stories, and 9) Get Industry Ready.

Enroll today (teams & executives are welcome): https://fxo.co/IgPt 

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)

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 - AI Academy (share with your team)

Generative AI Course: Masters Program

Colleagues, the “Generative AI Course: Masters Program” the principles of Generative AI and implement them in real-world applications. This training will equip you in Python Programming, Data Science, Artificial Intelligence, Natural Language Processing, Generative AI, Prompt Engineering, ChatGPT and more.. The curriculum has been meticulously designed by the industry experts based on an analysis of 5000+ global job descriptions. Enroll today and dive into the fascinating world of Generative AI and elevate your career to the next level. Extensive Program with 10 Courses. 200+ Hours of Interactive Learning. 5+ Projects and 50+ Assignments. Skill-based training modules include: 1) Python Programming Certification - will help you master important Python programming concepts such as Data Operations, File Operations, Object-Oriented concepts, 2) Data Science with Python Certification - is accredited by NASSCOM. It will help you master important Python programming concepts such as data operations, file operations, 3) Artificial Intelligence Certification - master essentials of text processing and classifying texts along with important concepts such as Tokenization, 3) ChatGPT Training Course: Beginners to Advanced - effectively interact with the biggest revelation in the ChatGPT. You will be able to upgrade your prompt engineering skills by integrating CharGPT, 4) Prompt Engineering Course - curated by top industry professionals to unlock the vast potential of artificial intelligence. Delve into the world of AI-driven credentials, 5) Generative AI Industry Applications - bolster fraud detection with GAN models to unleashing artistic creativity with MidJourney, 6) Python Statistics for Data Science, 7) Reinforcement Learning, 8) Graphical Models Certification Training, and 8) Sequence Learning Certification Training.

Enroll today (teams & executives are welcome): https://fxo.co/IgOw 

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 Specialization (John Hopkins University)

DS colleagues, in the “Data Science Specialization” 10 course program you will learn Use R to clean, analyze, and visualize data, Navigate the entire data science pipeline from data acquisition to publication, Use GitHub to manage data science projects and Perform regression analysis, least squares and inference using regression models. Gain high-demand and highly marketable skills with GitHub, Machine Learning, R Programming and Regression Analysis. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Skill-based training modules include: 1) The Data Scientist’s Toolbox, 2) R Programming, 3) Getting and Cleaning Data, 4) Exploratory Data Analysis, 5) Reproducible Research, 6) Statistical Inference, 7) Regression Models, 8) Practical Machine Learning, 9) Developing Data Products, and 10) Data Science Capstone.

Enroll today (teams & executives are welcome): https://imp.i384100.net/y20m12

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)

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 - AI Academy (share with your team)

What is Data Science? (training)

Colleagues, after taking the “What is Data Science?” program you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field. The art of uncovering insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and accurately predicted the Nile River's flooding every year. Recently, they have carved out a unique and distinct field for the work they do. This field is data science. In today's world, we use Data Science to find patterns in data and make meaningful, data-driven conclusions and predictions. This course is for everyone and teaches concepts like how data scientists use machine learning and deep learning and how companies apply data science in business. You will meet several data scientists, who will share their insights and experiences in data science. Learn to define data science and its importance in today’s data-driven world, describe the various paths that can lead to a career in data science, summarize  advice given by seasoned data science professionals to data scientists who are just starting out, and explain why data science is considered the most in-demand job in the 21st century. Gain high-demand skills in Data Science, Big Data, Machine Learning, Deep Learning and Data Mining. Training modules include: 1) Defining Data Science and What Data Scientists Do, 2) Data Science Topics, 3) Applications and Careers in Data Science, and 4) Data Literacy for Data Science. 

Enroll today (teams & executives are welcome): imp.i384100.net/JzGm0R

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)

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 - AI Academy (share with your team)

TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning

AI colleagues, in the “Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning” program you will learn best practices for using TensorFlow, a popular open-source machine learning framework, build a basic neural network in TensorFlow, train a neural network for a computer vision application and understand how to use convolutions to improve your neural network. Gain highly marketable skills in Computer Vision, Tensorflow and Machine Learning. Training modules address: 1) A New Programming Paradigm - introduction to what Machine Learning and Deep Learning are, and how they offer you a new programming paradigm, giving you a new set of tools to open previously unexplored scenarios. All you need to know is some very basic programming skills, 2) Introduction to Computer Vision - solve problems of computer vision with just a few lines of code, 3) Enhancing Vision with Convolutional Neural Networks, and 4) Using Real-World Images - handling complex images. 

Enroll today (teams & execs welcome): https://imp.i384100.net/21ZjKD 

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) or (Kindle) 

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

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