Developing AI Applications with Python and Flask
The course involves building AI applications using Python and Flask frameworks for web development.
Certifications
IBM Data Science Professional Certificate
Completion of a comprehensive data science series covering Python, SQL, data analysis, machine learning, and a capstone project.
What is Data Science?
This course introduces data science and explores the various roles, techniques, and data types used in the field.
Tools for Data Science
Covers essential tools and technologies for data science, including Jupyter notebooks, RStudio, and GitHub.
Data Science Methodology
Explores the data science methodology, focusing on the various stages, from defining questions to obtaining insights.
Python for Data Science, AI & Development
Introduces Python programming in the context of data science, including essential libraries such as Pandas and Numpy.
Python Project for Data Science
A hands-on project course applying Python to solve real-world data science problems.
Databases and SQL for Data Science with Python
Teaches SQL and database concepts for managing and analyzing data within Python.
Data Analysis with Python
Focuses on data analysis techniques using Python, with libraries like Pandas and Matplotlib.
Data Visualization with Python
Covers data visualization using Python, with a focus on libraries such as Matplotlib and Seaborn.
Machine Learning with Python
Covers machine learning concepts using Python, including supervised and unsupervised learning techniques.
Applied Data Science Capstone
A capstone project course that integrates data science skills to solve a real-world problem.
Generative AI: Elevate Your Data Science Career
Explores generative AI techniques and their applications in advancing data science careers.
Foundations: Data, Data, Everywhere
Provides foundational knowledge in data analysis, including data types, sources, and importance of data-driven decision-making.
Ask Questions to Make Data-Driven Decisions
Teaches skills for asking relevant questions to derive actionable insights from data.
Prepare Data for Exploration
Covers data preparation techniques to prepare datasets for analysis and visualization.
Process Data from Dirty to Clean
Focuses on cleaning and transforming raw data to ensure it is accurate, complete, and ready for analysis.
Analyze Data to Answer Questions
Focuses on data analysis techniques to extract insights and answer key questions.
Share Data Through the Art of Visualization
Focuses on data visualization techniques to communicate findings effectively
Data Analysis with R Programming
Focuses on data analysis using R programming, covering key libraries and methods.
Google Data Analytics Capstone: Complete a Case Study
A capstone project that applies data analytics skills to a case study, showcasing data handling, analysis, and reporting.
Google Data Analytics Professional Certificate
Completion of a series of courses in data analytics, covering foundational skills, data cleaning, analysis, visualization, and a capstone project.
Neural Networks and Deep Learning
Covers neural networks, deep learning concepts, and foundational principles for building AI models..