Data Engineer - Discover Your Path to Career Success (2025)

Colleagues, did you know that according to Mordor Intelligence “The Big Data Engineering Services Market size is estimated at USD 91.54 billion in 2025, and is expected to reach USD 187.19 billion by 2030, at a CAGR of 15.38% during the forecast period (2025-2030)”? For more details see the Indeed article “Data Engineer Job Description: Top Duties and Qualifications” (March 2025).

Job Titles: Data Engineer, Senior Data Engineer, Cloud Data Engineer, Big Data Engineer, Data Architect, ETL (Extract, Transform, Load) Developer, Data Pipeline Engineer, Analytics Engineer, Machine Learning Engineer (with Data Engineering focus), DataOps Engineer

Salaries: BuiltIn, Glassdoor, Indeed, Levels.fyi, PayScale, ZipRecruiter (will vary by experience level & location)

Career Opportunities: Dice, Indeed, Kaggle, LinkedIn, Monster, Simply Hired, Zip Recruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

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

• Big Data Architect Masters Program (Udemy)

• Cloud Database Engineer Specialization (Google)

• Database Engineer Professional Certificate (Meta)

• IBM Data Engineering Professional Certificate (IBM)

• Introduction to Data Engineering (Datacamp)

• Introduction to Data Engineering (IBM)

Begin your path to success today, Lawrence E. Wilson - Data Science Academy (share with colleagues & friends) 

Data Scientist - Discover Your Path to Career Success (2025)

Colleagues, did you know that the global Data Science Platform Market size was valued $95.3B in 2021 and the revenue forecast for 2026 is set for the valuation of $322.9B? It is projected to grow at a CAGR of 27.7% during the forecast period (2021-2026) based on a report from Markets and Markets. Moreover, Indeed provides an up-to-date  Data Scientist job description - top duties and qualifications.

Job Titles: Data Scientist, Senior Data Scientist, Machine Learning Scientist, Data Analyst, Business Intelligence Analyst, Data Science Manager/Director

Salaries: BuiltIn, Glassdoor, Indeed, Levels.fyi, PayScale, ZipRecruiter (will vary by experience level & location)

Career Opportunities: DataJobs, Dice, Indeed, LinkedIn, Simply Hired, Zip Recruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

• Applied Data Science Specialization

• Data Analytics Professional Certificate

• Google Data Analytics Professional Certificate

• IBM Data Analyst Professional Certificate

• Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300)

• Understanding Data Science

Your path to success begins today, Lawrence E. Wilson - Data Science Academy (share with colleagues & friends)

Microsoft Power BI Certification Training: PwC Academy

Colleagues, the “Microsoft Power BI Certification Training: PwC Academy” offers dual certification in business intelligence. It covers concepts such as Power BI Desktop, DAX, Service, Reports, and more with real-world industry use cases. The training is live instructor-led and provides hands-on experience in real-time projects. It prepares you for the official PL-300 exam and offers simulated real-world scenarios. Enroll today to stand out in the job market with dual certification in the BI domain and advance your career. The global BI market has been on an impressive growth trajectory, starting at $27.11 B in 2022 and projected to reach $54.27 B by 2030, with a significant step up to $33.3 B expected in 2024. This growth is fueled by the ever-increasing demand for skilled professionals. The Bureau of Labor Statistics predicts an 11% increase in business analyst positions from 2020 to 2030, highlighting the significance of BI roles. Gain high-demand skills in Data Transformation, Charts and Page Layout, Advanced Analytics with Power BI, Building Reports & Special Visualizations, Building Narratives with Fabric and Working with Copilot Feature. Skill-based training modules address: 1) Introduction to Power BI, 2) Power BI Desktop and Data Transformation, 3) Data Analysis Expression (DAX), 4) Data Visualization, 5) Power BI Service, 6) Connectivity Modes, 7) Power BI Report Server, 8) Integrating R & Python in Power BI, 9) Advanced Analytics in Power BI, and 10) Hands-on Project

Enroll today (teams & executives are welcome): https://tinyurl.com/yc55jywf 

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)

Data Analytics Professional Certificate

Colleagues, the new “Data Analytics Professional Certificate” program will provide you with a robust foundation in Data Analytics. Build a job-ready data analytics skill set using industry-standard tools, including generative AI, to extract insights, make decisions, and solve real-world business problems. Data-informed decision-making is now an essential skill for everyone, from everyday consumer choices to business decisions at all levels. As reliance on data grows, so does the need for professionals who can analyze and interpret it effectively. The Data Analytics Professional Certificate, led by industry leader Sean Barnes, equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights. Learn: Statistics for real-world decision-making. Learn to calculate and interpret descriptive and inferential statistics to solve business problems. Data visualization and storytelling. Create compelling visualizations that effectively communicate complex data stories to stakeholders. Generative AI for analytics. Leverage genAI in the data analytics lifecycle, with hands-on labs and guidance on when and how to use AI assistance. Gain highly marketable skills in Data cleaning and preprocessing, Data Visualization, Python Programming for Data Analysis, Spreadsheets, Data Storytelling, Inferential Statistics (Hypothesis testing and Confidence Intervals), Applied Statistics and Probability, Time Series Analysis And Forecasting, Descriptive Statistics, SQL for Data Manipulation, Data Analysis, Data Segmentation, LLM Prompting for Data Analysis, Inferential Statistics, Python, Linear Regression, Customized Visualizations, Generative AI, Data Validation, Web Scraping, Data Preprocessing, SQLite, Data Cleaning, Statistical Analysis, Probability, Statistics, Tableau, Insight Summary, Data Narrative Design, and Data Dashboards. Training modules address: 1)Data Analytics Foundations, 2) Applied Statistics for Data Analytics, 3) Python for Data Analytics, 4) Data I/O and Preprocessing with Python and SQL, and 5) Data Storytelling.

Enroll today (teams & executives are welcome): https://imp.i384100.net/4Go3ro 

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 - 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 - Data Science Academy (share with your team)

“The Promise of Data-Driven Decision Making - From Analytics to Visualization and Beyond” (audio & ebook)

Colleagues, “The Promise of Data-Driven Decision Making” is a powerful resource that has the potential to transform the way we approach problem-solving in both our personal and professional lives. By collecting and analyzing data, we can gain valuable insights into the world around us, and use that knowledge to make more informed decisions. Throughout this book, we have explored the various aspects of data-based decision making, including the benefits, challenges, and best practices. We have also examined the different tools and techniques that can be used to collect and analyze data, as well as the ethical considerations that must be taken into account.

 Highly data-driven firms are three times more likely to report a major improvement in decision making, according to a large decision survey conducted by PWC. However, only one in three CEOs claim that their company is heavily data-driven. It comes up frequently in meetings with corporate leaders that executives have instant access to large volumes of data. We also learn that their personal intuition or gut feeling plays a significant role in their decision-making. How might the art and science of decision-making be combined better? A more efficient use of data and the capacity to draw insights are seen to present potential for enterprises to generate higher value. Analytics may support an organization's growth and innovation, increase productivity, and improve risk management when they are integrated into the culture of decision-making within the company. The use of facts, metrics, and data to inform strategic business decisions that are in line with a company's goals, objectives, and activities is known as data-driven decision-making. Interactive dashboards, work management platforms, and OKR tools are examples of modern analytics tools that assist individuals overcome prejudice and make the best management decisions that are in line with business strategies. Instead of making decisions based on intuition, opinion, or personal experience, it compiles historical data to examine trends and make better decisions for the future in relation to what has previously worked.

Listen today via Amazon Audible (https://tinyurl.com/ydbyh2t9) 

Or read now on Kindle (https://tinyurl.com/hptundzs) 

This book is part of the “Data-Driven Organizations” series.

1 - The Promise of Data-Driven Decision-Making  (Audible) (Kindle)

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

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