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)