Become a Probability and Statistics Master (training)

Colleagues, in the “Become a Probability and Statistics Master” program you will learn everything from Probability and Statistics, then test your knowledge with 600+ practice questions focused on: Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots. Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots. Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores. Probability, including union vs. intersection and independent and dependent events and Bayes' theorem. Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables. Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals. Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values. Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square. Skill-based training modules include: 1) Visualizing data, 2) Analyzing data, 3) Data distributions, 4) Probability, 5) Discrete Random Sampling, 6) Hypothesis testing, 7) Regression, and 8) Final Exam. 

Enroll today (teams & executives are welcome): https://tinyurl.com/ycy737vv 

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 - Data Science 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 

Google Data Analytics Professional Certificate

Colleagues, join over 2.4 million students enrolled in the “Google Data Analytics Professional Certificate” program. You’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000. This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau). Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming. Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms. Acquire high-demand skills in Data Analysis, Creating case studies, Data Visualization, Data Cleansing, Developing a portfolio, Data Collection, Spreadsheets, Metadata, SQL, Data Ethics, Data Aggregation, Data Calculations, and R Markd. Skill-based training modules address: 1) Foundations: Data, Data, Everywhere, 2) Ask Questions to Make Data-Driven Decisions, 3) Prepare Data for Exploration, 4) Process Data from Dirty to Clean, 5) Analyze Data to Answer Questions, 6) Share Data Through the Art of Visualization, 7) Data Analysis with R Programming, and 8) Google Data Analytics Capstone: Complete a Case Study. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/2arBxM 

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 - Data Science Academy (share with your team)

Share Data Through the Art of Visualization

Colleagues, the “Share Data Through the Art of Visualization” course is part of the Google Data Analytics Certificate. You’ll learn how to visualize and present your data findings as you complete the data analysis process. This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Understand the importance of data visualization. - Learn how to form a compelling narrative through data stories. - Gain an understanding of how to use Tableau to create dashboards and dashboard filters. - Discover how to use Tableau to create effective visualizations. - Explore the principles and practices involved with effective presentations. - Learn how to consider potential limitations associated with the data in your presentations. - Understand how to apply best practices to a Q&A with your audience. 

Enroll today (teams & executives are welcome): imp.i384100.net/k0nY10 

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 - Data Science Academy (share with your team)

Statistics for Data Science and Business Analysis

Colleagues, the “Statistics for Data Science and Business Analysis” training will equip you in descriptive inferential statistics, hypothesis testing, and regression analysis. [92 lectures • 4 hours 52 minutes of training]. Understand the fundamentals of statistics. Learn how to work with different types of data. How to plot different types of data. Calculate the measures of central tendency, asymmetry, and variability along with correlation and covariance. Distinguish and work with different types of distributions. Estimate confidence intervals. Perform hypothesis testing. Make data driven decisions. Understand the mechanics of regression analysis. Carry out regression analysis. Use and understand dummy variables. Understand the concepts needed for data science even with Python and R. Skill-based training lessons address: 1) Sample or population data?, 2) Fundamentals of descriptive statistics, 3) Measures of central tendency, asymmetry, and variability, 4) Practical example: descriptive statistics, 5) Distributions, 6) Estimators and estimates, 7) Confidence intervals: advanced topics, 8) Practical example: inferential statistics, 9) Hypothesis testing: Introduction, 10) Hypothesis testing: Let's start testing, 11) Practical example: hypothesis testing, 12) The fundamentals of regression analysis, 12) Subtleties of regression analysis, 13) Assumptions for linear regression analysis, 14) Dealing with categorical data, and 15) Practical example: regression analysis. 

Enroll today (teams & executives are welcome): https://tinyurl.com/2ab7dz4k 

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 - Data Science Academy (share with your team)

Generative AI for Data Engineers Specialization (IBM)

Colleagues, the “Generative AI for Data Engineers Specialization” from IBM will equip you to launch your generative AI Data Engineering career. Get job-ready as a data engineer with knowledge of generative AI. Apply your skills to recognize real-world generative AI uses and identify generative AI models and tools for text, code, image, audio, and video. Explain generative AI prompt engineering concepts, examples, and common tools and learn techniques needed to create effective, impactful prompts. Implement data engineering processes such as data warehouse schema design, data generation, augmentation and anonymization using generative AI tools. Evaluate real-world case studies showcasing the successful application of generative AI for ETL and data repositories. Acquire highly marketable skills in Convolutional Neural Networks, Information Engineering, Querying Databases, Data Generation, Generative AI, Artificial Intelligence (AI), ChatGPT, Large Language Models (LLM), Natural Language Generation, Prompt Engineering and Prompt Patterns. This specialization is designed not only for Data Engineers but for anyone who might be interested in the use of generative AI in Data Engineering. Explore generative AI prompts engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches and explore commonly used prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust. Skill-base training lessons cover: 1) Generative AI: Introduction and Applications, 2) Generative AI: Prompt Engineering Basics, and 3) Generative AI: Elevate your Data Engineering Career. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/09Q9nR 

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 Structures and Algorithms Specialization

Colleagues, in the “Data Structures and Algorithms Specialization” program you will master algorithmic programming techniques and advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving. Ace coding interviews by implementing each algorithmic challenge in this Specialization. Apply the newly-learned algorithmic techniques to real-life problems, such as analyzing a huge social network or sequencing a genome of a deadly pathogen. Gain high-demand skills in Skills you'll gain Software Testing, Data Structure, Computer Programming, Algorithms and Debugging. This Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. Skill-based training modules include: 1) Algorithmic Toolbox, 2) Data Structures, 3) Algorithms on Graphs, 4) Algorithms on Strings, 5) Advanced Algorithms and Complexity, and 6) Genome Assembly Programming Challenge.

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

Download your free Data Science - Career Transformation Guide.

For your listening-reading pleasure:

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 - Data Science Academy (share with your team)

Python for Data Science and Machine Learning Bootcamp

Colleagues, in the “Python for Data Science and Machine Learning Bootcamp” class you will learn how to use NumPy, Pandas, Seaborn , Matplotlib, Plotly, Scikit-Learn, Machine Learning, and Tensorflow. In addition you will learn to use Python for Data Science, Machine Learning and Spark for Big Data Analysis, implement Machine Learning Algorithms, and use NumPy for Numerical Data, Pandas for Data Analysis, Matplotlib for Python Plotting, Seaborn for statistical plots, Plotly for interactive dynamic visualizations, SciKit-Learn for Machine Learning Tasks and K-Means Clustering. [165 lectures • 24 hours 54 minutes of training]. Training lessons address: 1) Environment Set-Up, 2) Jupyter Overview, 3) Python Crash Course, 4) Python for Data Analysis - NumPy, 5) Pandas, 6) Data Visualization - Matplotlib, Seaborn, 7) Pandas Built-in Data Visualization, Plotly and Cufflinks, 8) Geographical Plotting, 9) Data Capstone Project, 10) Introduction to Machine Learning, 11) Linear Regression, 12) Cross Validation and Bias-Variance Trade-Off, 13) Logistic Regression, 14) K Nearest Neighbors, 15) Decision Trees and Random Forests, 16) Support Vector Machines, 17) K Means Clustering, 18) Principal Component Analysis, 19) Recommender Systems, 20) Natural Language Processing, 21) Neural Nets and Deep Learning, and 22) Big Data and Spark with Python.

Enroll today (teams & executives are welcome): https://imp.i384100.net/75Azqr 

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