Data Science Course : Beginner to Intermediate
Learn the essentials of data science, from data collection to visualization and analysis
Course Description
This course is designed to take you through the core concepts of data science, starting from the fundamentals and progressing into intermediate techniques. You’ll gain hands-on experience working with real-world data, performing data cleaning, analysis, and visualization, using popular tools like Python, R, and SQL.
By the end of this course, you will have a strong foundation in data science and be able to apply these skills in real-world projects and problems.
Course Syllabus
- Introduction to Data Science: Overview of data science and its applications
- Data Collection & Cleaning: Methods for collecting data and cleaning it for analysis
- Exploratory Data Analysis (EDA): Techniques for exploring and understanding data
- Data Visualization: Using tools like Matplotlib and Seaborn to create visual representations of data
- Introduction to Python & R: Learn basic syntax, data structures, and libraries like Pandas and NumPy
- Working with SQL: Querying and manipulating data in databases
- Statistical Analysis: Understanding and applying statistical methods to data
- Predictive Modeling: Introduction to machine learning algorithms and models
- Capstone Project: Apply your knowledge to a real-world project and showcase your skills
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