Tuesday, May 27, 2025

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)


Wednesday, May 21, 2025

Data Science with Python and R (training)

Colleagues, the Global Knowledge 2021 IT Salary Survey ranks Google Certified Professional Data Engineer $171,749 USD #1 out of all certifications. This “Data Science with Python and R” training program is tailored to beginner Data Scientists seeking to use Python or R for data science. This course includes fundamentals of data preparation, data analysis, data visualization, machine learning, and interactive data science applications. Students will learn how to build predictive models and how to create interactive visual applications for their line of business using the Anaconda platform. This course will introduce data scientists to using Python and R for building on an ecosystem of hundreds of high performance open source tools. Training modules address: 1) Open Data Science for Everyone, 2) Background Concepts for Open Data Science, 3) Data Wrangling with Pandas, 4) Anaconda Platform Overview, 5) Creating Interactive Visualizations with Bokeh, 6) Conda Package Management, 7) Data Processing and Visualization in R, 8) Excel and Python with Anaconda Fusion, 9) Excel and Python with Anaconda Fusion, 10) Databases and Distributed Data with Mosaic, 11) Distributed and Parallel Computing with Dask. 

Enroll today (teams & execs welcome): https://tinyurl.com/2p83vcek 


Down your complimentary Data Science - Career Transformation Guide.


Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (subscribe & share)

Monday, May 5, 2025

Data Science - 10 Career Success Strategies & Top Certifications (2025)

Colleagues, whether you are seeking advancement in your current company or looking to make a change in your career path, here are 10 strategies that will accelerate your Data Science professional goals and earnings potential along with top industry-recognized certifications that will give you a competitive edge.

#1 - Leadership: Demonstrating leadership is key to your upward mobility. Leading projects within your department is a good starting point. Leading more complex inter-departmental/interdisciplinary programs is the next step. And third, leading strategies initiatives involving customers, ecosystem partners and the analyst community is a quantum step toward success.


#2 - Creativity: Creative, innovative, outside-the-box thinking is vital. Your development of creative problem-solving skills will set you above and beyond your colleagues.


#3 - Volunteer: Be proactive - anticipate needs before they become mainstream. Be the first to raise your hand when an executive identifies a mission-critical challenge that needs to be resolved. Show initiative. Taking on new responsibilities may require you to negotiate with your management the delegation of some of your current responsibilities. 


#4 - Portfolio: Build a robust project portfolio of your greatest achievements. Make this accessible to your current management hierarchy (secure internal portals) and your industry at-large (LinkedIn and Github are great places to start).


#5 - Subject Matter Expert: Become a recognized SME in your domain (job function and/or industry) both within your company and externally with customers, business partners and industry analysts.


#6 - Publishing & Networking: Publish a weekly or monthly series on best practices, lessons learned or future industry trends. Engage with colleagues across disciplines and organizations within your business. Also build an online networking via professional associations, forums and events. Public speaking opportunities are an excellent means for gaining recognition.


#7 - KPIs (Key Performance Indicators): Understand how your senior management (e.g. Director, Vice President, General Manager) measure success and explicitly link your deliverables to their highest priority needs.


#8 - Interviews (internal or external): Always keep in mind the three most fundamental industry questions any hiring manager-executive is seeking to answer. First - Can you do the job? This question focuses on your skills, certifications and accomplishments. Second - Will you do the job? This question addresses your motivation and passion for doing the job at hand. And third - Will you fit in? Management wants to know that you are a team player, work well with others and are flexible.


#9 - Adding Value is Supreme: Boost revenue, reduce costs and enhance customer satisfaction-retention. You are not just performing a job, you are fully committed and contributing to the overall success of your company.


#10 - Top Certifications, Master Classes, Bootcamps and Specializations: Will bolster your Data Science career growth and income - adding an extra 5%-10% to your compensation. Industry-recognized certifications keep you abreast of industry trends and boost upward mobility. Don’t wait, enroll today!



Our analysis indicates that obtaining an industry-leading professional certification that increases your annual compensation by 5%-10% could potentially lead to an additional income of $250,000 to $500,000 over a 40-year career, not even accounting for the compounding effect of future salary growth on that initial percentage increase. When you factor in job promotions - perhaps every 5 years - this increases the net compensation increase two fold over the base case above. This highlights the significant long-term financial benefits of investing in professional development.


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

Saturday, April 19, 2025

Business Intelligence Analyst - Discover Your Path to Career Success (2025)

Colleagues, did you know that the “The global business intelligence (BI) market size was valued at USD 30.1 billion in 2024 and is projected to grow from USD 36.82 billion in 2025 to reach USD 116.25 billion by 2033, growing at a CAGR of 14.98% during the forecast period (2025-2033) based on Straits Research Private Limited (January 2025)”? View the excellent article entitled “Guide To Becoming a Business Intelligence Analyst” published by Indeed (March 2025).

Job Titles: Business Intelligence Analyst, Senior Business Intelligence Analyst, BI Developer, 

Data Analyst (with BI focus), Analytics Engineer, BI Manager, Data Visualization Specialist, Business Analyst (with BI skills), Marketing Intelligence Analyst, Financial BI Analyst


Salaries: BuiltIn, Glassdoor, Indeed, JobTed, Talent.com, ZipRecruiter (will vary by experience level & location)


Career Opportunities: Amazon, Glassdoor, Indeed, Jooble, Wellfound, ZipRecruiter


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



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


Wednesday, April 16, 2025

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):



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


Tuesday, April 8, 2025

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):



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

Data Scientist - 10 Best Practices, Portals & Career Development

Colleagues, this post will help you accelerate your career and income potential in the Data Science domain. Whether you are new to Data Scie...