About
The Data Science Foundations training program is designed to introduce participants to the core principles of data science, including statistical analysis, data manipulation, and visualization. This course provides hands-on experience with industry-standard tools such as Python and R, enabling learners to build a strong foundation for further specialization in data science.
Learning Objectives
Upon completing this course, participants will be able to:
- Understand the fundamental concepts and applications of data science.
- Perform statistical analysis to extract meaningful insights from data.
- Utilize Python and R for data manipulation and visualization.
- Apply data wrangling and cleaning techniques to prepare datasets for analysis.
Exam Information
- Format: Multiple-choice questions (MCQs) and practical assessments.
- Duration: 90 minutes.
- Passing Criteria: 70% or higher.
- Mode: Online exam.
Curriculum
- 4 Sections
- 8 Lessons
- 40 Hours
Expand all sectionsCollapse all sections
- Module 1: Introduction to Data Science2
- Module 2: Statistical Analysis and Data Visualization2
- Module 3: Introduction to Python and R for Data Analysis2
- Module 4: Data Wrangling and Cleaning Techniques2
Requirements
- No prior experience in data science is required.
- Basic knowledge of mathematics and statistics is beneficial but not mandatory.
Target audiences
- Beginners looking to start a career in data science.
- Business professionals aiming to leverage data analytics in decision-making.
- Students and graduates aspiring to enter the field of data science.