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…
Writing a resume for a junior-level data analyst role involves highlighting your education, relevant skills, projects, and any experience that showcases your ability to analyse data. Here’s a step-by-step guide to help you create a compelling resume: 1. Contact Information At the top of your resume, include your: 2. Professional Summary Write a brief summary (2-3 sentences) that highlights your…
Disclaimer: I am not affiliated with any of the links I am providing here. My goal for this post is to gather the resources under the same page so it can be helpful for people who like to learn. Also, any free course now can be found behind a paywall, and that’s totally up to the provider’s discretion. But I…
PostgreSQL is a powerful relational database management system. For local development, practice and learning one can run Postgres in docker container. This is a step-by-step guide how to run postgres in Docker. This tutorial is for Linux/Ubuntu systems! If you have Docker installed already, then jump to Step 2 Step 1: Install Docker This completes download and install of Docker…