This program will teach you the fundamental concepts and skills of data science, using Python as the programming language. You will learn about the data science workflow, mathematics and statistics for data science, Python programming, data manipulation, data visualization, exploratory data analysis, machine learning foundations, advanced machine learning, Git and GitHub, and deployment.
-Manipulate and clean data
-Create informative visualizations
-Build and train machine learning models
-Deploy your models to production
-Perform exploratory data analysis
What You Will Learn
- The basics of data science, including its applications, the data science workflow, and mathematics and statistics for data science
- Python programming, including basic programming concepts, data types, variables, operators, control structures, functions, modules, and object-oriented programming
- Data manipulation with Python, using NumPy and Pandas for numerical data manipulation and data cleaning and preprocessing
- Data visualization with Python, using Matplotlib and Seaborn to create informative and visually appealing data visualizations
- Exploratory data analysis (EDA) with Python, using Pandas and NumPy to identify patterns and trends in data
- Machine learning foundations, including supervised learning, unsupervised learning, model evaluation, and validation
- Advanced machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, gradient boosting, and K-means clustering
- Model selection and hyperparameter tuning
- Git and GitHub for version control and collaboration
- Deployment of data science projects using Flask and Streamlit
