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 

Data Science Fundamentals with Python and SQL Specialization

Colleagues, in the “Data Science Fundamentals with Python and SQL Specialization” you will develop hands-on experience with Jupyter, Python, SQL. Perform Statistical Analysis on real data sets. Gain skills with: Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio. Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy. Statistical Analysis techniques including  Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression. Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables. You will acquire high-demand skills with Data Analysis, Probability and Statistics, Python Programming, General Statistics, Mathematical Theory and Analysis, Statistical Programming, Data Visualization, and Computer Programming. The specialization consists of 5 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. This program is ACE® recommended—when you complete, you can earn up to 8 college credits. Training lessons address: 1) Tools for Data Science, 2) Python for Data Science, AI & Development, 3) Python Project for Data Science, 4) Statistics for Data Science with Python, and 5) Databases and SQL for Data Science with Python. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/R5q1Xy  

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) 

Applied Data Science Specialization (IBM)

Colleagues, in the “Applied Data Science Specialization” you will learn Python, analyze and visualize data. Apply your skills to data science and machine learning. Develop an understanding of Python fundamentals. Gain practical Python skills and apply them to data analysis. Communicate data insights effectively through data visualizations. Create a project demonstrating your understanding of applied data science techniques and tools. Acquire highly marketable skills in Python Programming, Data Analysis, and Machine Learning. This 5-course Specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. This program is ACE® recommended—when you complete, you can earn up to 12 college credits. In the Applied Learning Project you will extract and graph financial data with the Pandas Python library., wrangle data, graph plots, and create regression models to predict housing prices with Python libraries, including NumPy, and Sklearn, and create visualizations and a dynamic Python dashboard with treemaps and line plots using libraries such as Matplotlib, Seaborn, and Plotly Dash to monitor, report, and improve US domestic flight reliability. Training modules include: 1) Python for Data Science, AI and Development, 2) Python Project for Data Science, 3) Data Analysis with Python, 4) Data Visualization with Python, and 5) Applied Data Science Capstone.

Enroll today (teams & executives are welcome): https://imp.i384100.net/xLQy41 

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)

Google Cloud Database Engineer Specialization

Colleagues, in the “Google Cloud Database Engineer Specialization” you will learn the skills needed to be successful in a cloud database engineer role, prepare for the Professional Cloud Database Engineer certification exam, plan, execute, test, and monitor enterprise database migrations to Google Cloud, and migrate and manage Cloud SQL, Cloud Spanner, and Bigtable databases. Acquire highly marketable skills involving Databases, Cloud Computing, Google Cloud Platform, Data Management, and SQL. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Database Engineer role. Applied Learning Project: Incorporates labs using the Qwiklabs platform. These components will let you gain practical hands-on experience with the concepts explained in the video modules. In addition, you will learn about and practice working with Google Cloud databases such as Cloud SQL, Cloud Spanner, and Bigtable. Skill-based training modules include: 1) A Tour of Google Cloud Hands-on Labs, 2) Google Cloud Fundamentals: Core Infrastructure, 3) Cloud SQL for MySQL: Qwik Start, 4) Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service, 5) Migrating On-premises MySQL Using a Continuous Database Migration Service Job, 6) Migrate to Cloud SQL for PostgreSQL using Database Migration Service, 7) Connect an App to a Cloud SQL for PostgreSQL Instance, 8) Securing a Cloud SQL for PostgreSQL Instance, 9) Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL, 10) Cloud Spanner - Loading Data and Performing Backups, 11) Cloud Spanner - Defining Schemas and Understanding Query Plans, 12) Deploy a Modern Web App connected to a Cloud Spanner Instance, and 13) Enterprise Database Migration. 

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

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)