Explore data science fundamentals, including generative AI, time series, and business analytics. Gain insights into practical applications using Python libraries like pandas, seaborn, and TensorFlow.

handbookfinal.tar.gz

jupyter

seaborn

Data science extracts meaningful insights from the data for data-driven decision-making. This course is designed to provide an insight into the fascinating world of data science, whether you are a beginner or want to move your career forward in data science. 

We start the course by covering the fundamentals of data science and the usage of data science in big tech industries and real-world applications. We discuss its specialized applications in generative AI, time series analysis, business analytics, and the different career paths in data science. Lastly, we cover an example with various Python libraries, including pandas, seaborn, scikit-learn, and TensorFlow. We use pandas and seaborn for basic data processing and data visualization and scikit-learn and TensorFlow for modeling and analysis. 

With the completion of this course, you’ll emerge with a concise yet comprehensive knowledge of data science and the required skills to enhance your data science knowledge for data-driven decision-making.

Data Science Handbook

Get familiar with different career paths in data science.

Introduction to Data Science

Fundamentals of Data Science

Applications and Careers in Data Science

Mastering Data Science

Stock Market Data Visualization Using Python

Roles in Data Science

Data engineer