Embark on a transformative journey into the world of data analytics with Google's Data Analytics (DE) course. This program equips you with the fundamental skills and knowledge necessary to thrive in the rapidly expanding field of data analytics.
Throughout the 8 comprehensive courses, you will delve into the core concepts and practices essential for junior or associate positions in data analysis. From data collection and transformation to drawing insights and making informed decisions, you will master the analytical skills and tools required to excel in this domain.
By completing this program, you will be well-prepared for roles in data analysis, database administration, and more. Join the ranks of successful graduates who have reported significant career advancements within 6 months of certification completion.
Certificate Available ✔
Get Started / More Info
Master the essentials of data analytics through 8 comprehensive modules, covering data fundamentals, data-driven decision-making, data preparation and cleansing, analysis, visualization, programming, and case study development.
Explore the fundamental concepts and importance of data analytics, including data ecosystems, analytical thinking, and the role of analytics professionals in various positions.
Understand the process of data-driven decision-making and its contribution to general analysis scenarios. Learn to utilize spreadsheets for basic data analysis tasks and grasp the core concepts of structured thinking.
Prepare for data exploration by understanding the factors involved in data collection decisions, differentiating between biased and unbiased data, and grasping best practices for data structuring.
Gain insights into data integrity and the use of SQL functions for data cleansing. Develop essential SQL queries and verify the results of data cleansing processes.
Learn the significance of structuring data before analysis, including sorting and filtering techniques, data conversion, and the creation of SQL queries for combining data from multiple database tables.
Discover the value of data visualization tools and the principles of effective presentation. Familiarize with Tableau for data visualization and understand the significance of data-driven storytelling.
Acquire a foundational understanding of the R programming language, including its environment, concepts, and visualization capabilities. Explore the use of R Markdown for content structuring and emphasis.
Differentiate between a final project, case study, and portfolio. Identify the essential attributes of a case study and apply data analysis practices to a specific dataset. Understand the importance of case studies and portfolios in communication with potential employers.
Capstone: Analyzing (Social) Network Data is a comprehensive project that integrates skills from all four specialization courses to analyze social networks, exploring...
Foundations of Data Science is the first course in the Google Advanced Data Analytics Certificate. It provides an introduction to data science concepts, the impact...
Predictive Modeling with Logistic Regression using SAS is a comprehensive course that teaches predictive modeling techniques using SAS/STAT software, with a focus...
Advanced Data Visualization with Tableau empowers learners to create complex visualizations and spatial analytics, enabling effective communication of insights to...