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)

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)

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 

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

Christmas 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 

Professional Certification in Data Science (HarvardX)

Colleagues, in the “Professional Certification in Data Science” program from HarvardX you will learn the fundamental R programming skills, statistical concepts such as probability, inference, and modeling and how to apply them in practice, gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr, become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio, implement machine learning algorithms, and gain an in-depth knowledge of fundamental data science concepts through motivating real-world case studies. This program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems. Skill-based training modules include: 1) R Basics, 2) Visualization, 3) Probability, 4) Inference and Modeling, 4) Productivity Tools, 5) Wrangling, 6) Linear Regression, 7) Machine Learning, and 8) Capstone Project.

Enroll today (teams & executives are welcome): https://edx.sjv.io/9LVMxy 

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)

IBM Data Engineering Professional Certificate

Colleagues, the “IBM Data Engineering Professional Certificate” will prepare you for a career as a Data Engineer. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required. Master the most up-to-date practical skills and knowledge data engineers use in their daily roles. Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2. Develop working knowledge of NoSQL and Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming. Implement ETLand Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data  Warehouses; create BI reports & interactive dashboards. Acquire highly valuable skills in Generative AI. This program will teach you the foundational data engineering skills employers are seeking for entry level data engineering roles, including Python, one of the most widely used programming languages. You’ll also master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects. You’ll learn to use Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You’ll work with Relational Databases (RDBMS) and query data using SQL statements and use NoSQL databases as well as unstructured data. You'll also learn how generative AI tools and techniques are used in data engineering. Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. Training lessons address: 1) Introduction to Data Engineering, 2) Python for Data Science, AI & Development, 3) Python Project for Data Engineering, 4) Introduction to Relational Databases (RDBMS), 5) Databases and SQL for Data Science with Python, 6) Hands-on Introduction to Linux Commands and Shell Scripting, 7) Relational Database Administration (DBA), 8) ETL and Data Pipelines with Shell, Airflow and Kafka, 9) Data Warehouse Fundamentals, 10) BI Dashboards with IBM Cognos Analytics and Google Looker, 11) Introduction to NoSQL Databases, 12) Introduction to Big Data with Spark and Hadoop, 13) Machine Learning with Apache Spark, 14) Data Engineering Capstone Project, 15) Generative AI: Elevate your Data Engineering Career, and 16) Data Engineering Career Guide and Interview Preparation.

Enroll today (teams & executives are welcome): https://imp.i384100.net/Wyy11e

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)

Applied Data Science with Python Specialization

Colleagues, the “Applied Data Science with Python Specialization” will equip you to apply data science methods and techniques, and acquire analysis skills. Conduct an inferential statistical analysis. Discern whether a data visualization is good or bad. Enhance data analysis with applied machine learning. Analyze the connectivity of a social network. Develop highly marketable skills in Text Mining, Python Programming, Pandas, and Matplotlib. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Training modules cover: 1) Introduction to Data Science in Python, 2) Applied Plotting, Charting & Data Representation in Python, 2) Applied Machine Learning in Python, 3) Applied Text Mining in Python, and 4) Applied Social Network Analysis in Python. 

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

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)