Course Description
Data Science is the key to unlocking insights from the vast amounts of data generated every day. This course offers a comprehensive journey into data analysis, statistical modeling, and machine learning, empowering you to make data-driven decisions. You’ll learn how to collect, clean, analyze, and visualize data, as well as how to build predictive models for real-world applications.
Whether you are aiming for a career in analytics, AI, or business intelligence, this course equips you with the skills and tools needed to thrive in the world of data.
What You’ll Learn?
- Understand the fundamentals of Data Science and its applications
- Collect, clean, and preprocess structured and unstructured data
- Perform exploratory data analysis (EDA) using Python and relevant libraries
- Visualize data effectively using charts, graphs, and dashboards
- Apply statistical analysis for decision-making
- Build machine learning models for prediction and classification
- Work with Big Data tools and cloud-based data platforms
- Understand data ethics, privacy, and security best practices
- Develop real-world data science projects from start to finish
Curriculum
- 5 Sections
- 20 Lessons
- 36 Days
Expand all sectionsCollapse all sections
- Module 1: Introduction to Data Science4
- Module 2: Python for Data Science4
- Module 3: Statistics and Probability for Data Science4
- Module 4: Data Visualization4
- Module 5: Data Wrangling and Preprocessing4
Lessons:
