Python Data Structures (training)

Dev colleagues, join over 1 million students who have enrolled in the popular “Python Data Structures” training program. Learn to explain the principles of data structures & how they are used, create programs that are able to read and write data from files, store data as key/value pairs using Python dictionaries and accomplish multi-step tasks like sorting or looping using tuples. Gain high-demand skills including Python Syntax And Semantics, Data Structures, Tuples and Python Programming. This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. Training modules address: 1) Python Strings - install Python if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head start, 2)  Installing and Using Python - write and test Python programs in the browser using the "Python Code Playground" in this lesson, 3) Files - write your first programs that read, scan, and process real data, 3) Lists - store many values in a single variable using an indexing scheme to store, organize, and retrieve different values from within a single variable. We call these multi-valued variables "collections" or "data structures", 4) Dictionaries - the Python dictionary is one of its most powerful data structures. Instead of representing values in a linear list, dictionaries store data as key / value pairs. Using key / value pairs gives us a simple in-memory "database" in a single Python variable, and 5) Tuples - simple version of lists. We often use tuples in conjunction with dictionaries to accomplish multi-step tasks like sorting or looping through all of the data in a dictionary.

Enroll today (teams & executives are welcome): https://imp.i384100.net/oq1ydm 

Download your free complimentary Python, R, TensorFlow and Pytorch - 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)  

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)

Foundations: Data, Data, Everywhere (Google)

Colleagues, the Foundations: Data, Data, Everywhere program from Google will enable your organization  to improve its processes, identify opportunities and trends, launch new products, and make thoughtful decisions. This course is part of Google Data Analytics Professional Certificate. You’ll be introduced to the world of data analytics through a hands-on curriculum developed by Google. Current Google Data Analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using the best tools and resources. Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. Learn to Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems, Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking, Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics and describe the role of a data analyst with specific reference to jobs. Gain high-demand and highly marketable skills including Spreadsheets, Data Analysis, SQL, Data Visualization and Data Cleansing. Training lessons address: 1) Introducing data analytics and analytical thinking - Data analytics in everyday life, Cassie: Dimensions of data analytics, What is the data ecosystem?, How data informs better decisions, Discover data skill sets, Key data analyst skills, All about thinking analytically, Explore core analytical skills, Data drives successful outcomes, Witness data magic; 2) The Wonderful World of Data - Learn about data phases and tools, Stages of the data life cycle, The phases of data analysis and this program, Molly: Example of the data analysis process, Explore data analyst tools; 3) Set Up Your Data Analytics Toolbox - The ins and outs of core data tools, Make spreadsheets your friends, SQL in action, Angie: Everyday struggles when learning new skills, Become a data viz whiz, Lilah: The power of a visualization; and 4) Become a Fair and Impactful Data Professional - The job of a data analyst, Joey: Path to becoming a data analyst, Tony: Supporting careers in data analytics, The power of data in business, Rachel: Data detectives, Understand data and fairness, Alex: Fair and ethical data decisions, Data analysts in different industries and Samah: Interview best practices.

Enroll today (teams & executives are welcome): http://imp.i384100.net/9gK75j 

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)

Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)

Colleagues, launch your career with the “Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)” . Build job-ready skills and must-have AI skills for an in-demand career. Earn a credential from Microsoft. No prior experience required. Microsoft Power BI is the leading data analytics, business intelligence, and reporting tool in the field, used by 97% of Fortune 500 companies to make decisions based on data-driven insights and analytics.Learn to use Power BI to connect to data sources and transform them into meaningful insights. Prepare Excel data for analysis in Power BI using the most common formulas and functions in a worksheet. Learn to use the visualization and report capabilities of Power BI to create compelling reports and dashboards. Demonstrate your new skills with a capstone project and prepare for the industry-recognized Microsoft PL-300 Certification exam. You will acquire highly marketable skills involving Generative AI in Power BI, Data Analysis, Microsoft Excel, SQL, Power BI and Power Query. Lessons in this program will equip you in: 1) Preparing Data for Analysis with Microsoft Excel, 2) Harnessing the Power of Data with Power BI, 3) Extract, Transform and Load Data in Power BI, 4) Data Modeling in Power BI, 5) Data Analysis and Visualization with Power BI, 6) Creative Designing in Power BI, 6) Deploy and Maintain Power BI Assets and Capstone project, and 7) Microsoft PL-300 Exam Preparation and Practice.

Enroll today (teams & executives are welcome): https://imp.i384100.net/0ZLZ7P 

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 

Machine Learning Specialization (Stanford)

Colleagues, in the “Machine Learning Specialization” from Stanford University and DeepLearning.AI you will master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng. Learn to build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression), train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods, apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection, and build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model. Gain high-demand skill in Logistic Regression, Artificial Neural Network, Linear Regression, Decision Trees and Recommender Systems. The four training modules include: 1) Supervised Machine Learning: Regression and Classification, 2) Advanced Learning Algorithms, 3) Unsupervised Learning, Recommenders, and 4) Reinforcement Learning.

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

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)

Google AI Essentials (training)

Colleagues, the Google AI Essentials program is designed to help people across roles and industries get essential AI skills to boost their productivity, zero experience required. The course is taught by AI experts at Google who are working to make the technology helpful for everyone. In under 10 hours, they’ll do more than teach you about AI — they’ll show you how to actually use it in the real world. Stuck at the beginning of a project? You’ll learn how to use AI tools to generate ideas and content. Planning an event? You’ll use AI tools to help research, organize, and make more informed decisions. Drowning in a flooded inbox? You’ll use AI tools to help speed up those daily work tasks, like drafting email responses. You’ll also learn how to write effective prompts and use AI responsibly by identifying AI’s potential biases and avoiding harm. After you complete the course, you’ll earn a certificate from Google to share with your network and potential employers. By using AI as a helpful collaboration tool, you can set yourself up for success in today’s dynamic workplace — and you don’t even need programming skills to use it. Skill-based modules include: 1) Introduction to AI, 2) Maximize Productivity With AI Tools, 3) Discover the Art of Prompt Engineering, 4) Use AI Responsibly, and 5) Stay Ahead of the AI Curve. Learn generative AI tools to help develop ideas and content, make more informed decisions, and speed up daily work tasks. Write clear and specific prompts to get the output you want - you’ll apply prompting techniques to help summarize, create tag lines, and more. Use AI responsibly by identifying AI’s potential biases and avoiding harm. Develop strategies to stay up-to-date in the emerging landscape of AI. Gain high demand and highly marketable skills in Artificial Intelligence (AI), Prompt Engineering, Large Language Models (LLMs) and Generative AI.

Enroll today (teams & executives are welcome): https://tinyurl.com/49f59efr 

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)

Convolutional Neural Networks (training)

AI colleagues, in the “Convolutional Neural Networks” you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI. Acquire highly marketable skills including: Facial Recognition System, Tensorflow, Convolutional Neural Network, Deep Learning and Object Detection and Segmentation. Training modules address: 1) Foundations of Convolutional Neural Networks, 2) Deep Convolutional Models: Case Studies, 3) Object Detection, and 4) Special Applications: Face recognition and Neural Style Transfer.

Enroll today (teams & execs welcome): imp.i384100.net/zN7MDW

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)