Foundations: Data, Data, Everywhere (Google)

Colleagues, the Foundations: Data, Data, Everywhere program from Google will enable your organization  to improve its processes, identify opportunities and trends, launch new products, and make thoughtful decisions. You’ll be introduced to the world of data analytics through a hands-on curriculum developed by Google. Current Google Data Analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using the best tools and resources. Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. Learn to Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems, Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking, Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics and describe the role of a data analyst with specific reference to jobs. Gain high-demand and highly marketable skills including Spreadsheets, Data Analysis, SQL, Data Visualization and Data Cleansing. Training lessons address: 1) Introducing data analytics and analytical thinking - Data analytics in everyday life, Cassie: Dimensions of data analytics, What is the data ecosystem?, How data informs better decisions, Discover data skill sets, Key data analyst skills, All about thinking analytically, Explore core analytical skills, Data drives successful outcomes, Witness data magic; 2) The Wonderful World of Data - Learn about data phases and tools, Stages of the data life cycle, The phases of data analysis and this program, Molly: Example of the data analysis process, Explore data analyst tools; 3) Set Up Your Data Analytics Toolbox - The ins and outs of core data tools, Make spreadsheets your friends, SQL in action, Angie: Everyday struggles when learning new skills, Become a data viz whiz, Lilah: The power of a visualization; and 4) Become a Fair and Impactful Data Professional - The job of a data analyst, Joey: Path to becoming a data analyst, Tony: Supporting careers in data analytics, The power of data in business, Rachel: Data detectives, Understand data and fairness, Alex: Fair and ethical data decisions, Data analysts in different industries and Samah: Interview best practices.

Enroll today (teams & executives are welcome): http://imp.i384100.net/9gK75j 

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 (training)

Colleagues, in the “Introduction to Data Engineering” program you will learn the differences between a data engineer and a data scientist (and how they work together) before finding out more about the tools of the trade, specifically talking about cloud computing and parallel computing. By the end of the second chapter, you’ll understand the applications of SQL and NoSQL, using DataFrames, and why parallel computing is so important. Skill-based training exercises involve: 1) Perform ETL in Hands-on Exercises - how data is extracted, transformed, and loaded to get it ready for analysis and generating insights. At the end of the course, you’ll put all this knowledge into practice by performing and scheduling an ETL process yourself using real-world data, 2) Intermediate Python, 3) Intermediate SQL, 4) Introduction to Data Engineering - explore the differences between a data engineer and a data scientist, get an overview of the various tools data engineers use and expand your understanding of how cloud technology plays a role in data engineering, 5) Data engineering toolbox - learn in detail about different types of databases data engineers use, how parallel computing is a cornerstone of the data engineer's toolkit, and how to schedule data processing jobs using scheduling frameworks, 6) Extract, Transform and Load (ETL) - extract raw data from various sources, transform this raw data into actionable insights, and load it into relevant databases ready for consumption, and 7) Case Study - you will perform and schedule an ETL process that transforms raw course rating data, into actionable course recommendations. 

Enroll today (teams & executives are welcome): https://datacamp.pxf.io/y23DrB 

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)

Ask Questions to Make Data-Driven Decisions (training)

Colleagues, the “Ask Questions to Make Data-Driven Decisions” course is part of Google Data Analytics Professional Certificate. Learn to: Explain how the problem-solving road map applies to typical analysis scenarios.. Discuss the use of data in the decision-making process. Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data. Describe the key ideas associated with structured thinking. You will build skills in Data Analysis and Spreadsheet Software. By the end of this course, you will: Learn about effective questioning techniques that can help guide analysis. Understand data-driven decision-making and how data analysts present findings. Explore a variety of real-world business scenarios as an example of questioning and decision-making. Discover how and why spreadsheets are an important tool for data analysts. Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives. Skill-based training modules address: 1) Ask effective questions, 2) Make data-driven decisions, 3) Spreadsheet magic, and 4) Always remember the stakeholder.

Enroll today (teams & executives are welcome): https://imp.i384100.net/qzy5Wg  

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)

Data Engineering, Big Data, and Machine Learning on GCP Specialization

Colleagues, the “Data Engineering, Big Data, and Machine Learning on GCP Specialization” will help you to launch your career in Data Engineering. Deliver business value with big data and machine learning. Gain high value skills Cloud Computing, Google Cloud Platform, Data Management, and Big Data. The Applied Learning Project incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules. This Specialization incorporates hands-on labs using our Qwiklabs platform. These hands-on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as BigQuery, which are used and configured within Qwiklabs. Skills-oriented training modules cover: 1) Modernizing Data Lakes and Data Warehouses with Google Cloud, 2) Building Batch Data Pipelines on Google Cloud, 3) Building Resilient Streaming Analytics Systems on Google Cloud, 4) Smart Analytics, Machine Learning, and 5) AI on Google Cloud. 

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

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)

Google Data Analytics Professional Certificate

Colleagues, join over 2.6+ million students enrolled in the “Google Data Analytics Professional Certificate” program. You’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000. This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau). Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming. Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms. Acquire high-demand skills in Data Analysis, Creating case studies, Data Visualization, Data Cleansing, Developing a portfolio, Data Collection, Spreadsheets, Metadata, SQL, Data Ethics, Data Aggregation, Data Calculations, and R Markd. Skill-based training modules address: 1) Foundations: Data, Data, Everywhere, 2) Ask Questions to Make Data-Driven Decisions, 3) Prepare Data for Exploration, 4) Process Data from Dirty to Clean, 5) Analyze Data to Answer Questions, 6) Share Data Through the Art of Visualization, 7) Data Analysis with R Programming, and 8) Google Data Analytics Capstone: Complete a Case Study. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/2arBxM 

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)

Understanding Data Science (training)

Colleagues, in the “Understanding Data Science” program through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data. Skill-based training modules address: 1) Introduction to Data Science - data science workflow and how data science is applied to real-world problems. We'll finish the chapter by learning about different roles within the data science field, 2) Data Collection and Storage -  data science workflow, we'll dive deeper into the first step: data collection and storage. We'll learn about the different data sources you can draw from, what that data looks like, how to store the data once it's collected, and how a data pipeline can automate the process, 3) Preparation, Exploration, and Visualization - diagnose problems in your data, deal with missing values and outliers. You will then learn about visualization, another essential tool to both explore your data and convey your findings, and 4) Experimentation and Prediction - experimentation and prediction. Beginning with experiments, we'll cover A/B testing, and move on to time series forecasting where we'll learn about predicting future events. Finally, we'll end with machine learning, looking at supervised learning, and clustering.

Enroll today (teams & executives are welcome): datacamp.pxf.io/OebJ1K 

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 - AI Academy (share with your team)

Introduction to Microsoft Power BI (training)

Colleagues, in the “Introduction to Microsoft Power BI” training you will explore the fundamentals of Power BI, getting to grips with Data, Model, and Report views. You’ll learn to load data sets, build a data model, and discover how to shape and transform your data with Power Query Editor. As you progress through the course, you’ll have access to hands-on exercises that can hone your skills. You’ll look at various visualizations, sort different data types, and learn to drill deeper into your reports. Skill-based training modules involve: 1) Create Powerful Data Visualizations - options for data visualization. Learn to choose the right visual for your dataset and type, how to make changes to follow visualization best practices and tell a strong story with your data, and learn to sort and format your data for clearer storytelling, 2) Getting Started with Power BI - navigate this intuitive tool and get to grips with Power BI’s Data, Model, and Report views. You’ll load multiple datasets in the Data view, build a data model to understand the relationships between your tables in Model view, and create your first bar graph and interactive map visualization in Report view. You’ll also practice using Power Query Editor to prep your data for analysis, 3) Transforming Data - In this chapter, you'll learn how to shape and transform your data before the data analysis using Power Query Editor, 4) Visualizing Data - change and format a wide range of visualizations, before moving on to sorting data and creating hierarchies—making it possible for you to drill into your reports, and 5) Filtering - filter the information in your reports by location and control how these filters interconnect and interact with other visuals in your report.

Enroll today (teams & executives are welcome): https://datacamp.pxf.io/PyLyrM 

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 - AI Academy (share with your team)