Course Course Summary Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: GOOG-0004 Organization's ID: N/A Organization: Coursera Inc. Location: Online Length: 36 weeks (166 hours) Dates Offered: 10/1/2024 - 9/30/2027 8/1/2021 - 9/30/2024 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Lower-Division Baccalaureate 3 Introduction to Data Analytics Lower-Division Baccalaureate 3 Introduction to Databases Lower-Division Baccalaureate 3 Data Management with Spreadsheets Lower-Division Baccalaureate 3 Introduction to R Programming Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: The course objective is to prepare learners for a career in the high growth field of data analytics with professional training designed by Google and hosted on Coursera. Students will gain in-demand skills preparing them for an entry-level job. Learning Outcomes: Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau) Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms General Topics: Introducing data analytics All about analytical thinking The wonderful world of data Set up your toolbox Endless career possibilities Asking effective questions Making data-driven decisions More spreadsheet basics Always remember the stakeholder Data types and data structures Bias, credibility, privacy, ethics, and access Databases: where data lives Organizing and protecting your data Engaging in the data community The importance of integrity Sparkling-clean data Cleaning data with SQL Verify and report on your cleaning results Adding data to your resume Organizing data to begin analysis Formatting and adjusting data Aggregating data for analysis Performing data calculations Visualizing data Creating data visualizations with Tableau Crafting data stories Developing presentations and slideshows Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Audio Visual Materials Case Studies Discussion Laboratory Lectures Practical Exercises Methods of Assessment: Quizzes Minimum Passing Score: 80% Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Other offerings from Coursera Inc. Deep Learning Specialization (DLAI-0001) Google Advanced Data Analytics Professional Certificate (GOOG-0009) Google Business Intelligence Professional Certificate (GOOG-0008) Google Cloud Cybersecurity Certificate (GOOG-0010) Google Cloud Data Analytics Certificate (GOOG-0011) Google Cybersecurity Professional Certificate (GOOG-0007) Google Data Analytics Certificate (GOOG-0004) Google Digital Marketing & E-Commerce Professional Certificate (GOOG-0006) Google IT Support Professional Certificate (GOOG-0001) View All Courses Page Content