0 Years
Certificate
Computer Science and IT
Full Time
Certificate in Data Analytics Course Syllabus covers data collection, analysis tools, statistics, machine learning, ethics, and practical projects.
The Certificate in Data Analytics course syllabus is designed to provide students with a comprehensive understanding of data analytics concepts and techniques. It typically covers topics such as data collection, data cleaning, data visualization, statistical analysis, machine learning, and data interpretation. Students will learn to work with data analysis tools and software commonly used in the industry, gaining hands-on experience through practical projects. Additionally, the syllabus often includes modules on data ethics, data privacy, and data-driven decision-making to ensure students are well-rounded in their knowledge. By the end of the course, students should be proficient in analyzing data sets and extracting valuable insights, making them well-prepared for careers in the data analytics field.
| S.No | Subjects |
| 1 | Preparatory Sessions – Data Transformation using Ms. Excel & Python |
| 2 | Data wrangling with SQL |
| 3 | Data Science with R |
| 4 | Introduction to Data Science & Statistics |
| 5 | Business Problem Solving, Insights, and Storytelling |
| 6 | Optimization Techniques |
| 7 | Statistics & Machine Learning using R Programming |
| 8 | Time-Series Forecasting |
| 9 | Data Science Execution Strategy |
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