Data Science Now
** PROJECT OBJECTIVES: **
- Understanding fundamental data science concepts, data acquisition, cleaning, exploration, and visualization.
- Applying Python programming and its libraries for data manipulation and analysis.
- Utilizing basic statistical methods for analyzing and interpreting data effectively.
- Demonstrating proficiency in data preprocessing techniques, including handling missing values and outliers appropriately.
- Developing skills in data visualization to communicate insights effectively from data exploration.
- Applying machine learning techniques for predictive modeling and interpreting patterns to communicate findings to diverse audiences.
- Module 1 Introduction to Data Science.
- Module 2 Exploratory Data Analysis, Web Scraping, Statistical Methods.
- Module 3 Machine Learning Concepts.
- Module 4 Data Visualization and Storytelling, Introduction to Databases.
- Module 5 Exploring Domains in Data Science Across Industries and Final Project.
learn about previously unsolvable problems that can now be solved from solutions devised from data through mathematical algorithms and statistical formulas. Problem-solving is done by reviewing current case studies and examples. The data science workflow will be discussed, in detail, independent of any specific toolset.