The Data Science course is designed to equip learners with the essential skills and knowledge required to analyze large datasets, extract meaningful insights, and apply data-driven decision-making techniques. The course covers fundamental to advanced concepts in data analysis, statistical modeling, machine learning, and data visualization using industry-standard tools like Python, R, and SQL.
Course Objectives:
By the end of the Data Science course, participants will be able to:
- Understand and apply fundamental statistical techniques for data analysis.
- Use programming languages such as Python and R to manipulate and analyze data.
- Apply machine learning algorithms to build predictive models.
- Work with large datasets using tools like SQL, Pandas, and NumPy.
- Visualize and communicate data insights effectively with libraries like Matplotlib, Seaborn, and Tableau.
- Develop solutions to real-world data science problems, including business, healthcare, finance, and marketing applications.
- Perform exploratory data analysis (EDA), data wrangling, and preprocessing to prepare data for modeling.
Curriculum
- 12 Sections
- 13 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Module 11
- Module 21
- Module 31
- Module 42
- Module 51
- Module 61
- Module 71
- Module 81
- Module 91
- Module 101
- Module 111
- Module 121
