At Agratas EduTech, the Data Science course is designed to equip learners with the skills and knowledge needed to make sense of data in today’s digital world. This interdisciplinary program blends statistics, programming, and machine learning to help participants extract meaningful insights from both structured and unstructured data.
Whether you’re new to data science or looking to strengthen your foundation, this course provides a hands-on, industry-focused learning experience covering everything from data analysis and visualization to predictive modeling and artificial intelligence.
CERTIFICATION
Upon successful completion of the course, students will receive:
- A Course Completion Certificate from Agratas EduTech
- An Internship Certificate upon completion of hands-on projects and evaluations
- An Industry-Recognized Certification that validates your technical expertise in data science
- A Letter of Recommendation (LOR) for top-performing candidates, supporting future academic or job pursuits
- These certifications will add value to your resume and boost your professional credibility in data-driven industries.
LEARNING OUTCOMES
By the end of this course, you will:
- Understand core concepts in data science, including statistics, machine learning, and data visualization
- Collect, clean, and preprocess real-world data sets for analysis
- Build and evaluate predictive models using Python and industry-standard libraries
- Apply machine learning algorithms to solve real-world problems
- Use data visualization tools (such as Matplotlib, Seaborn, or Power BI) to communicate insights clearly
- Gain hands-on experience through projects and internship-based assignments
- Explore the applications of data science in industries like healthcare, finance, marketing, and more
- Develop a strong project portfolio to showcase your skills to employers or higher education institutes
- Stay current with industry tools and best practices used by professional data scientists
Course Features
- Lectures 36
- Quiz 0
- Duration 30 hours
- Skill level All levels
- Language English
- Students 202
- Assessments Yes
- 1 Section
- 36 Lessons
- 30 Hours
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- Section-136
- 1.1DATA SCIENCE LESSON 1
- 1.2DATA SCIENCE LESSON 2
- 1.3DATA SCIENCE LESSON 3
- 1.4DATA SCIENCE LESSON 4
- 1.5DATA SCIENCE LESSON 5
- 1.6DATA SCIENCE LESSON 6
- 1.7DATA SCIENCE LESSON 7
- 1.8DATA SCIENCE LESSON 8
- 1.9DATA SCIENCE LESSON 9
- 1.10DATA SCIENCE LESSON 10
- 1.11DATA SCIENCE LESSON 11
- 1.12DATA SCIENCE LESSON 12
- 1.13DATA SCIENCE LESSON 13
- 1.14DATA SCIENCE LESSON 14
- 1.15DATA SCIENCE LESSON 15
- 1.16DATA SCIENCE LESSON 16
- 1.17DATA SCIENCE LESSON 17
- 1.18DATA SCIENCE LESSON 18
- 1.19DATA SCIENCE LESSON 19
- 1.20DATA SCIENCE LESSON 20
- 1.21DATA SCIENCE LESSON 21
- 1.22DATA SCIENCE LESSON 22
- 1.23DATA SCIENCE LESSON 23
- 1.24DATA SCIENCE LESSON 24
- 1.25DATA SCIENCE LESSON 25
- 1.26DATA SCIENCE LESSON 26
- 1.27DATA SCIENCE LESSON 27
- 1.28DATA SCIENCE LESSON 28
- 1.29DATA SCIENCE LESSON 29
- 1.30DATA SCIENCE LESSON 30
- 1.31DATA SCIENCE LESSON 31
- 1.32DATA SCIENCE LESSON 32
- 1.33DATA SCIENCE LESSON 33
- 1.34DATA SCIENCE LESSON 34
- 1.35DATA SCIENCE LESSON 35
- 1.36DATA SCIENCE LESSON 36
