DATA SCIENCE WITH PYTHON
The Smarted Data Science Program is an intensive, two-month course designed to equip participants with essential skills in data analysis, machine learning, and statistical modeling. In the first month, learners receive training from industry experts through a mix of live and recorded sessions. The second month focuses on hands-on projects, including real-world research and development initiatives. Participants will collaborate on minor and major projects, culminating in a course completion certificate and an internship completion certificate. This program is perfect for aspiring data scientists looking to enhance their skills and gain practical experience in the field.
₹3500.00 ₹9000.00 61% OFF
Course Overview
Duration: 2 Months
Format: Recorded Training & Hands-On Projects
Month 1: Training with Industry Mentors
- Objective: Gain foundational knowledge and insights from experienced professionals.
- Format: A combination of live sessions and recorded content, providing flexibility for participants.
Key Components:
- Live Sessions: Interactive lectures and Q&A with top industry mentors covering essential topics relevant to the field.
- Recorded Content: Access to pre-recorded sessions for flexible learning at your own pace.
- Topics Covered: Current industry trends, best practices, technical skills, and soft skills development.
Month 2: Hands-On Project Experience
- Objective: Apply learned concepts through practical experience.
Key Components:
- Live Research and Development Projects: Participants will engage in both minor and major projects, working on real-world challenges.
- Collaboration: Work in teams to foster collaboration, problem-solving, and innovation.
- Mentorship: Continuous support and guidance from industry mentors throughout the project phase.
Certification
Upon successful completion of the program, participants will receive:
- Course Completion Certificate: Recognizing the completion of the training and project components.
- Collaborated Internship Completion Certificate: Validating the hands-on experience gained during the program.
Schedule of Classes
Course Curriculum
1 Subject
DATA SCIENCE WITH PYTHON
2 Exercises • 34 Learning Materials
Introduction to Data Science
Introduction to Data Science Part 1
Introduction to Data Science Part-2
Data Collection and Preprocessing
Data Collection and Preprocessing Part-1
Data Collection and Preprocessing Part-2
Data Collection and Preprocessing Part-3
Data Collection and Preprocessing Part-4
Data Collection and Preprocessing Part-5
Data Collection and Preprocessing Part-6
Python for Data Science
Python For Data Science Part-1
Python For Data Science Part-2
Python For Data Science Part-3
Python For Data Science Part-4
Data Visualization
Data Visualization Part-1
Data Visualization Part-2
Data Visualization Part-3
Data Visualization Part-4
Statistics for Data Science
Statistics For Data Science Part-1
Statistics For Data Science Part-2
Statistics For Data Science Part-3
Machine Learning Basics - Unsupervised Learning
Machine Learning Basics Unsupervised Learning Part-1
Machine Learning Basics Unsupervised Learning Part-2
Machine Learning Basics Unsupervised Learning Part-3
Machine Learning Basics Unsupervised Learning Part-4
Machine Learning Basics Supervised Learning
Machine Learning Basics Supervised Learning Part-1
Machine Learning Basics Supervised Learning Part-2
Machine Learning Basics Supervised Learning Part-3
Machine Learning Basics Supervised Learning Part-4
Machine Learning Basics Supervised Learning Part-5
Machine Learning Basics Supervised Learning Part-6
SQL
SQL Part-1
SQL Part-2
Capstone Project
Capstone Project DS Part-1
Capstone Project DS- Part-2
Capstone Project Resources
DATA SCIENCE MINOR PROJECTS
DATA SCIENCE MAJOR PROJECTS
Course Instructor
SmartED Innovations
34 Courses • 10225 Students
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