CertNexus Certified Data Science Practitioner Professional Certificate

This course is for business professionals who want to know how to identify a business problem that is suitable for a data-science project and how to apply the data science process.

This course is designed to give students experience in business settings and a deep understanding of the fundamental concepts of data science, such as types of data, roles in data science, the data science lifecycle and the challenges and benefits of data science.

This course is for data professionals and business people who want to learn the first technical stage of data science, known as Extract, Transform and Load (or ETL).

Learners will learn how to collect data from multiple sources to make it available for transformation and cleaning. Next, they will dig into the collected data sets to clean and prepare it to be loaded into their final destination. The course will end with learners loading data into their final destination to allow them to analyze and model it. This course is designed for students who have some experience with programming and data manipulation.

This is the fifth course of the Google Data Analytics Certificate. These courses will give you the skills necessary to be able to apply for introductory-level jobs as a data analyst. This course will cover the "analyze” phase of data analysis. To make sense of the data that you have collected, you will take what you have learned up to this point and use it in your analysis. To help you see and understand your data differently, you'll be able to use spreadsheets and SQL to organize it. To achieve business goals, you'll also learn how to do complex calculations with your data. As you perform your analysis, you'll be able to use functions and formulas as well as SQL queries. You will be guided by current Google data analysts to help you use the best tools and resources to complete common data analyst tasks.

This course is for professionals who want to understand the basic concepts of machine learning. They will also learn how to test hypothesises using experiments, train, tune, and evaluate models that use algorithms to solve clustering, forecasting, classification, and regression problems.

This course requires a strong background in computing technology and programming skills.

This course is designed for business professionals who want to enhance their data science skills and effectively communicate their findings to stakeholders. It focuses on gathering data from previous stages of a data science project and presenting it in a meaningful way. The course covers various topics including communicating model results, creating web apps to demonstrate machine learning models, testing and automating model tuning, deployment, and training. It assumes that the student has completed prior courses in the CDSP Professional Certificate Program and possesses some programming skills. By the end of this course, learners will have gained a deeper understanding of artificial intelligence in data science and how to apply it to their projects.