Python for Data Science, AI and Development (IBM)

Colleagues, in the “Python for Data Science, AI and Development” training from IBM you will learn Python - the most popular programming language and for Data Science and Software Development. Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes. Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks. Access and web scrape data using APIs and Python libraries like Beautiful Soup. Acquire highly marketable skills with Data Science, Data Analysis, Python Programming, Numpy, and Pandas. Learn more about Outcomes, Modules, Recommendations, Testimonials, Reviews, Browse, Data Science, and Data Analysis. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy and Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles. Skill-based lessons include:1) Python Basics, 2) Python Data Structures, 3) Python Programming Fundamentals, 4) Working with Data in Python, and 5) APIs and Data Collection. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/dOOy2Q

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)

Databases and SQL for Data Science with Python (training)

Colleagues, in the “Databases and SQL for Data Science with Python” program you will learn to analyze data within a database using SQL and Python, create a relational database and work with multiple tables using DDL commands, construct basic to intermediate level SQL queries using DML commands, and compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins. Acquire high-demand skills in Python Programming, Cloud Databases, Relational Database Management System (RDBMS), SQL, and Jupyter notebooks. You will write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE, filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses, differentiate between DML & DDL, CREATE, ALTER, DROP and load tables, use string patterns and ranges; ORDER and GROUP result sets, and built-in database functions, build sub-queries and query data from multiple tables, access databases as a data scientist using Jupyter notebooks with SQL and Python, and work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects. Skill-based training lessons include: 1) Getting Started with SQL, 2) Introduction to Relational Databases and Tables, 3) Intermediate SQL, 4) Accessing Databases using Python, 5) Course Assignment - Project, and 6) Advanced SQL for Data Engineer. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/jerxq6 

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)

Data Analysis with R Programming

Colleagues, join over 612k students enrolled in the “Data Analysis with R Programming” course that is part of the Google Data Analytics Certificate program. Describe the R programming language and its programming environment. Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors. Describe the options for generating visualizations in R. Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content. Gain high-demand skills involving Data Analysis, R Markdown, Data Visualization, R Programming and Rstudio. Skill-based training lessons cover: 1) Programming and data analytics, 2) Programming using RStudio, 3) Working with data in R, 4) More about visualizations, aesthetics, and annotations, and 5) Documentation and reports. 

Enroll today (teams & executives are welcome): http://imp.i384100.net/Z6deaX 

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)

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 - Data Science Academy (share with your team)

“The Data Driven Organizations” Audio and eBook series make a wonderful Christmas gift!

Black Friday Bonanza - Audible & Kindle Book Series (Amazon)

Data-Driven Organizations: 

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Merry Christmas. Order today, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

Google Data Analytics Capstone: Complete a Case Study

Colleagues, the “Google Data Analytics Capstone: Complete a Case Study” is part of the Google Data Analytics Certificate program. You will identify the key features and attributes of a completed case study. Apply the practices and procedures associated with the data analysis process to a given set of data. Discuss the use of case studies/portfolios when communicating with recruiters and potential employers. Gain a competitive edge by learning AI skills from Google experts. Gain highly marketable skills in Data Analysis, Creating case studies, Data Visualization, Data Cleansing and Developing a portfolio. By the end of this course, learners will: Learn the benefits and uses of case studies and portfolios in the job search. Explore real world job interview scenarios and common interview questions. Discover how case studies can be a part of the job interview process. Examine and consider different case study scenarios. Have the chance to complete your own case study for your portfolio. Learn AI skills from Google experts to help complete data analytics tasks. Skill-based training modules include: 1) Learn about capstone basics, 2) Building your portfolio, 3) Using your portfolio, and 4) Putting your certificate to work. 

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

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)

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)