Certified Data Management Professional (CDMP) Essentials

Colleagues, become a “Certified Data Management Professional (CDMP)” and advance your career and earning potential. In this industry-recognized credential from the Data Management Association-International (DAMA-I) you will gain a comprehensive understanding of the significance of data management in today's world, exploring how effective data management can drive organizational success and improve decision-making processes, learn about Data Governance and Stewardship, delve into the dimensions of data quality and learn techniques for assessing data quality, conducting data cleansing, and implementing data validation methods, acquire the fundamentals of data modeling, including entity-relationship (ER) modeling concepts, learn about data integration strategies, including the extract, transform, load (ETL) process, gain an understanding of MDM concepts, master data governance, and best practices for implementing MDM initiatives, and receive dedicated preparation for the CDMP certification exam, including an overview of the exam structure and content. [32 lectures • 2h 6m total length]. Skill-based training modules include: 1) Introduction to Data Management, 2) Data Governance and Stewardship, 3) Data Quality Management, 4) Data Modeling and Database Design, 5) Data Integration and ETL Processes, 6) Master Data Management (MDM), 7) Data Privacy and Security, 8) Data Analytics and Reporting, 9) Data Management Strategy and Planning, and 10) CDMP Exam Preparation. 

Enroll today (teams & executives are welcome): https://tinyurl.com/rz6yzuf3

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)

Snowflake – The Complete Masterclass

Colleagues, in the “Snowflake – The Complete Masterclass” you will master this cloud data warehouse from the ground up. Master all fundamentals & advanced topics. Build professional-quality understanding of Snowflake. Understand the entire Snowflake workflow from end-to end. Apply your knowlegde in assignments & quizzes hands-on. Learn from top-rated instructor and professional BI developer. [178 lectures • 15h 40m total length]. Skill-based training lessons include: 1) Snowflake architecture, 2) Loading data, 3) Loading unstructured data, 4) Performance optimization, 5) Loading from AWS, Azure and GCP, 6) Snowpipe, 7) Snowpipe for Azure, 8) Time Travel, 9) Fail Safe, 10) Types of tables, 11) Zero-Copy Cloning, 12) Data Sharing, 13) Data Sampling, 14) Scheduling Tasks, 15) Streams, 16) Materialized Views, 17) Dynamic Data Masking, 18) Access Management, 19) Visualization - Power BI & Tableau, 20) Partner Connect - Connecting, and 21) Best Practises.

Enroll today (teams & executives are welcome): https://tinyurl.com/4dcuz2nv 

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)

Meta Database Engineer Professional Certificate

Colleagues, in the “Meta Database Engineer Professional Certificate” program you will build job-ready skills for an in-demand career and earn a credential from Meta. No degree or experience required to get started. Learn to demonstrate proficiency of SQL syntax and explain how it’s used to interact with a database, create databases from scratch and learn how to add, manage and optimize your database, write database driven applications in Python to connect clients to MySQL databases and develop a working knowledge of advanced data modeling concepts. Acquire high demand skills in database management Tabular records, database administration, SQL and Python syntax, and MySQL. You will demonstrate your competency in SQL automation by writing a stored procedure to solve real world problems. After developing your skills in Python, create a Python application to administer a MySQL database and program its interactions with clients. You will also apply data modeling to a real-world project by enacting advanced data modeling concepts such as automation, storage and optimization. Finally, you’ll be tasked with creating a MySQL database solution for an app by drawing on the knowledge and skills that they have gained throughout the program. Training modules include: 1) Introduction to Databases, 2) Version Control, 3) Database Structures and Management with MySQL, 4) Advanced MySQL Topics, 5) Programming in Python, 6) Database Clients, 7) Advanced Data Modeling, 8) Database Engineer Capstone, and 9) Coding Interview Preparation.

Enroll today (teams & executives are welcome): imp.i384100.net/k0D1NV 

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)

Introduction to Data Engineering (IBM)

Colleagues, the “Introduction to Data Engineering” program from IBM will jumpstart your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field. Next you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will become familiar with the components of a data platform and gain an understanding of several different types of data repositories such as Relational (RDBMS) and NoSQL databases, Data Warehouses, Data Marts, Data Lakes and Data Lakehouses. You’ll then learn about Big Data processing tools like Apache Hadoop and Spark. You will also become familiar with ETL, ELT, Data Pipelines and Data Integration. This course provides you with an understanding of a typical Data Engineering lifecycle which includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. You will also learn about security, governance, and compliance. You will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. You will hear from several experienced Data Engineers, sharing their insights and advice. By the end of this course, you will also have completed several hands-on labs and worked with a relational database, loaded data into the database, and performed some basic querying operations

Enroll today (teams & executives are welcome): imp.i384100.net/Jz3B9R 

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 

Data Science Specialization

Colleagues, the “Data Science Specialization” program is a 10-course introduction to data science, developed and taught by leading professors. 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. Perform regression analysis, least squares and inference using regression models. Acquire high-demand skills in 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 cover: 1) The Data Scientist’s Toolbox, 2) R Programming, 3) Getting and Cleaning Data, 4) Exploratory Data Analysis, 4) Reproducible Research, 5) Statistical Inference, 6) Regression Models, 7) Practical Machine Learning, 8) Developing Data Products and 9) 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)

Share Data Through the Art of Visualization (Google)

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)

Azure Databricks & Spark For Data Engineers (PySpark/SQL)

Colleagues, the “Azure Databricks & Spark For Data Engineers (PySpark/SQL)” training program will equip you in Azure Databricks, Delta Lake, Unity Catalog, Azure Data Factory [DP203]. You will gain the skills required around Azure Databricks and Data Factory to pass the Azure Data Engineer Associate certification exam DP203. You will learn how to build a real world data project using Azure Databricks and Spark Core. This course has been taught using real world data.You will acquire professional level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2 and Azure Data Factory (ADF). Learn how to create notebooks, dashboards, clusters, cluster pools and jobs in Azure Databricks, how to ingest and transform data using PySpark in Azure Databricks, transform and analyze data using Spark SQL in Azure Databricks, Data Lake architecture and Lake House Architecture. Also, you will learn how to implement a Lake House architecture using Delta Lake, create Azure Data Factory pipelines to execute Databricks notebooks and Azure Data Factory triggers to schedule pipelines as well as monitor them. You will also learn how to connect to Azure Databricks from PowerBI to create reports, a comprehensive understanding about Unity Catalog and the data governance capabilities offered by Unity Catalog and how to implement a data governance solution using Unity Catalog enabled Databricks workspace. Skill-based training modules include: Azure Databricks Overview, Databricks Clusters, Databricks Notebooks, Accessing Azure Data Lake from Databricks, Securing Access to Azure Data Lake, Mounting Data Lake Container to Databricks, Spark Introduction, Data Ingestion - CSV, Data Ingestion JSON9 and Ingestion, Multiple File, Databricks Workflows, Filter & Join Transformations, Aggregations, Using SQL in Spark Applications, Spark SQL - Databases/ Tables/ Views/Filters/ Joins/ Aggregations/Analysis, Incremental Load, Delta Lake, Azure Data Factory, Connect to Other Services, Unity Catalog - Introduction, Unity Catalog - Mini Project and Unity Catalog. 

Enroll today (teams & executives are welcome): https://tinyurl.com/5adecuta 

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)