Working with stakeholders Your data analysis project should answer the business task and create opportunities for data-driven decision-making. That’s why it is so important to focus on project stakeholders. As a data analyst, it is your responsibility to understand and manage your stakeholders’ expectations while keeping the project goals front and centre. You might remember that stakeholders are people who…
Spreadsheets are a key data analytics tool. Here, we will learn both why and how data analysts use spreadsheets in their work. We will also investigate how structured thinking helps analysts understand problems and come up with solutions. Learning Objectives Spreadsheets and the data life cycle To better understand the benefits of using spreadsheets in data analytics, let’s explore how…
In analytics, data drives decision-making, and this is your opportunity to explore data of all kinds and its impact on all sorts of business decisions. We will also learn how to effectively share your data through reports and dashboards. Learning Objectives Data trials and triumphs Introduction A data analytics professional’s job is to provide the data necessary to inform key…
Why You Should Take This Course This course is the second in the Google Data Analytics Certificate program. It builds on the foundation you learned in the first course and dives deeper into the world of data analysis. Here are some reasons why you should take this course: In addition to the above, this course will also help you to:…
In this module, we will examine different types of businesses and the jobs and tasks that analysts do for them. You’ll also learn how a Google Data Analytics Certificate will help you meet many of the requirements for an analyst position with these organizations. Learning Objectives Ethical and fair decision-making process of a Data analyst Fairness means ensuring your analysis…
Data Analytics Tools Spreadsheets, query languages, and data visualization tools are all a big part of a data analyst’s job. In this part of the course, we will learn the basic concepts to use them for data analysis. Learning Objectives Let’s learn Spreadsheet .. In the spirit of lifelong learning, it is good to have resources to turn to when…
In this part of the course, we will learn about the data life cycle and data analysis process. They are both relevant to our work in this program and on the job. We will also be introduced to applications that help guide data through the data analysis process. Module 2 Learning Objectives Variations of the data life cycle You have…
Concept Even though I already have some knowledge and experience in Data Analytics using Python, Pandas, Seaborn etc I wanted to take this certification out of curiosity and to learn something new. I am not going to go into the debate of Python vs R and which one is better. Rather, I will only focus on this course and its…
Creating SMART questions about your datasets is crucial for several reasons. SMART is an acronym that stands for Specific, Measurable, Achievable, Relevant, and Time-bound. Here’s why each aspect is important and how these questions benefit your work as a data professional: Importance of Creating SMART Questions: Benefits of SMART Questions for Data Professionals: In summary, SMART questions help to create…