The full Python data analysis workflow is taught in the Data Analysis with Python certification from freeCodeCamp. Using industry-standard libraries like NumPy, Pandas, Matplotlib, and Seaborn, you will learn how to import, clean, modify, analyze, and visualize data. Working with data from CSV files, Excel spreadsheets, SQL databases, and Jupyter [...]
Variables, loops, functions, data structures, file handling, object-oriented programming, databases, networking, and data visualization are all covered in the online, project-based certification course Scientific Computing with Python. Students get a certificate by completing practical projects that showcase their proficiency with Python. [...]
The foundations of data science, data analytics, and data engineering are covered in this approachable course. In addition to learning about the fundamentals of artificial intelligence (AI) and machine learning (ML), you will discover how data is gathered, saved, evaluated, and utilized to inform decisions. The course doesn’t require any [...]
The goal of the beginning course Data Science Essentials is to assist students in comprehending every step of the data science lifecycle, including data collection, cleaning, exploration, visualization, statistical analysis, and fundamental machine learning ideas. The course provides a solid foundation for future data scientists by introducing real-world applications utilizing [...]
IBM offers a free introductory learning pathway called Data Science Foundations that aids students in comprehending the fundamental ideas of data science, including data analysis, data science methodologies, career paths related to data, and practical business applications. The course is intended for novices who wish to lay a solid foundation [...]
Python programming principles are taught in this approachable course, with an emphasis on data science applications. Writing Python code, working with data structures, utilizing libraries like NumPy and Pandas, interacting with APIs, doing simple data analysis, and creating programs in Jupyter Notebooks are all things you will learn. [...]
The Massachusetts Institute of Technology’s demanding graduate-level online Statistics and Data Science MicroMasters® Program is intended to establish solid foundations in probability, statistics, data analysis, and machine learning. The curriculum, which was created by MIT academics through MITx and the MIT Institute for Data, Systems, and Society, blends theoretical ideas [...]
The foundations of R programming for data science are taught in Harvard University’s introductory course Data Science: R Basics. Learners gain practical skills in data wrangling, analysis, and visualization through practical activities with an actual U.S. crime dataset. Harvard’s Data Science Professional Certificate program begins with this course. [...]
The Google Data Analytics Professional Certificate is a job-focused, beginner-friendly curriculum that teaches the fundamental skills required for an entry-level data analyst position. Through practical projects and real-world scenarios, it covers data cleansing, analysis, visualization, spreadsheets, SQL, Python, Tableau, and data-driven decision-making. Neither a degree nor any prior experience is [...]
Designed to educate students for entry-level data science positions, the IBM Data Science Professional Certificate is an industry-recognized, beginner-friendly program. Through practical laboratories and real-world projects, the program covers Python, SQL, data analysis, data visualization, machine learning, and data science approaches. Students create a portfolio of projects that show employers [...]