Explore the “Data Driven Organizations” Amazon Audible & Kindle Book Series

Explore the “Data Driven Organizations” Amazon Audible & Kindle Book Series 

Data-Driven Organizations: 

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

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

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

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

Colleagues, “The Promise of Data-Driven Decision Making” (Audible) Kindle 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 

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 Science or or looking to advance your existing Data Scientist career this post has valuable information for you.

Best Practices

1. Master Core Foundations: Solidify your understanding of statistics, probability, linear algebra, and programming (Python/R), crucial for building robust models (Codecademy, Masters in Data Science).

2. Build a Strong Portfolio: Create diverse, impactful projects on platforms like Kaggle and GitHub, demonstrating end-to-end problem-solving and deployment skills.

3. Specialize Strategically: Focus on niches like NLP, computer vision, or MLOps, aligning with emerging industry demands (Hugging Face, OpenAI).

4. Embrace Cloud Platforms: Learn to deploy and manage data science solutions on major cloud providers (Google Cloud Data Science, Microsoft Azure AI).

5. Develop Data Visualization & Storytelling: Master tools like Power BI or Tableau to effectively communicate insights to non-technical stakeholders (Tableau.com).

6. Stay Current with Research: Regularly follow advancements in AI and ML from leading labs (DeepMind, OpenAI) and research publications (MIT Technology Review, X/Stats_Feed).

7. Practice MLOps: Understand the operational aspects of deploying, monitoring, and maintaining models in production environments.

8. Network and Collaborate: Engage with the data science community online (Kaggle forums, X) and in person to learn and find opportunities.

9. Pursue Lifelong Learning: The field changes constantly; commit to continuous education through courses, certifications, and hands-on experimentation.

10. Cultivate Business Acumen: Understand the business context and how data science solutions drive tangible value and impact organizational goals.

Resource Portals

• Coursera 

• Code Academy 

• Data Science on Google Cloud 

• Kaggle.com 

• Master’s in Data Science 

• Microsoft Power BI

• Tableau

• World of Statistics (X)

Specializations, Master Classes and Certifications

• Applied Data Science Specialization 

• Data Analytics Professional Certificate 

• Data Science: Foundations using R Specialization

• Data Science Fundamentals with Python and SQL Specialization

• Data Science Specialization

• Data Visualization with Tableau Specialization

• Data Science with Python and R

• Google Data Analytics Professional Certificate 

• IBM Data Analyst Professional Certificate

• IBM Data Science Professional Certificate

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

• Understanding Data Science 

Enroll today (teams & executives are welcome).  

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 success in your career journey, Lawrence E. Wilson - Data Science Academy (share with your team)

Data Science - Interviews, Project Portfolios & Certifications (Your competitive edge)

Colleagues, are you seeking to land the next job in your Data Science  journey … either within your current company or with a new employer? All hiring managers need to answer three fundamental questions in the interview process before making a job offer.

Interviews

1. Skills: Can you do the job?

2. Motivation: Will you do the job?

3. Fit: Will you be a team player and fit into the company culture?

Professional Portfolio

Creating a high qualityData Science professional portfolio combined with having industry-leading certifications - along with relevant work experience - will put you at the top of the candidate pool when answering the “Skills” question.:

What is a Project Portfolio? 

1. A project portfolio is a collection of projects, programs, and operations managed collectively to achieve strategic objectives. 

2. It demonstrates your diverse skills, experience, and proven ability to deliver results, showcasing your value and strategic impact to potential employers or for internal advancement.

What Makes a Project Portfolio Valuable?

1. Strategic Alignment: Connecting projects to organizational goals.

2. Resource Management: Efficient allocation of people and assets.

3. Risk Management: Identifying and mitigating potential threats.

4. Performance Monitoring: Tracking progress and outcomes.

5. Stakeholder Communication: Keeping all parties informed and engaged.

What are the best portals to host your project portfolio?

1. GitHub

2. LinkedIn

3. Behance

4. Dribbble

5. Kaggle

6. Hugging Face

7. Personal Website (WordPress, Wix, Squarespace, Webflow - Offers maximum customization & a professional brand presence)

Industry-Leading Certifications & Training

• Applied Data Science Specialization 

• Data Analytics Professional Certificate 

• Data Science: Foundations using R Specialization

• Data Science Fundamentals with Python and SQL Specialization

• Data Science Specialization

• Google Data Analytics Professional Certificate 

• IBM Data Analyst Professional Certificate

• IBM Data Science Professional Certificate

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

• Understanding Data Science 

Enroll today (teams & executives are welcome).  

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)