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)

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 

Understanding Machine Learning with Python

Colleagues, the “Understanding Machine Learning with Python” will equip you to use your data to predict future events with the help of machine learning. This course will walk you through creating a machine learning prediction solution and will introduce Python, the scikit-learn library, and the Jupyter Notebook environment. Learn to format your problem to be solvable, prepare your data for use in a prediction, and combine that data with algorithms to create models that can predict the future. By the end of this course, you will be able to use Python and the scikit-learn library to create Machine Learning solutions. And you will understand how to evaluate and improve the performance of the solutions you create. Skill-based lessons include: 1) Getting Started in Machine Learning, 2) Understanding the Machine Learning Workflow, 3) Asking the Right Question, 4) Preparing Your Data, 5) Selecting Your Algorithm, 6) Training the Model, and 6) Testing Your Model's Accuracy. 

Enroll today (teams & executives are welcome): https://pluralsight.pxf.io/752WZA

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)

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)

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)