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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.

Course Instructor: SmartED Innovations

₹3500.00 ₹9000.00 61% OFF

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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

29 Learning Materials

Introduction to Data Science

Introduction to Data Science Part 1

Video
01:00:47

Introduction to Data Science Part-2

Video
00:59:48

Data Collection and Preprocessing

Data Collection and Preprocessing Part-1

Video
01:01:10

Data Collection and Preprocessing Part-2

Video
00:07:31

Data Collection and Preprocessing Part-3

Video
01:00:28

Data Collection and Preprocessing Part-4

Video
00:54:42

Data Collection and Preprocessing Part-5

Video
00:57:03

Data Collection and Preprocessing Part-6

Video
01:04:52

Python for Data Science

Python For Data Science Part-1

Video
01:00:43

Python For Data Science Part-2

Video
00:53:18

Python For Data Science Part-3

Video
01:00:30

Python For Data Science Part-4

Video
01:00:27

Data Visualization

Data Visualization Part-1

Video
01:00:48

Data Visualization Part-2

Video
01:00:37

Data Visualization Part-3

Video
00:56:00

Data Visualization Part-4

Video
00:50:38

Statistics for Data Science

Statistics For Data Science Part-1

Video
01:00:50

Statistics For Data Science Part-2

Video
00:38:50

Statistics For Data Science Part-3

Video
00:53:26

Machine Learning Basics - Unsupervised Learning

Machine Learning Basics Unsupervised Learning Part-1

Video
00:54:55

Machine Learning Basics Unsupervised Learning Part-2

Video
00:58:21

Machine Learning Basics Unsupervised Learning Part-3

Video
00:51:39

Machine Learning Basics Unsupervised Learning Part-4

Video
00:57:20

Machine Learning Basics Supervised Learning

Machine Learning Basics Supervised Learning Part-1

Video
00:58:47

Machine Learning Basics Supervised Learning Part-2

Video
00:59:06

Machine Learning Basics Supervised Learning Part-3

Video
00:59:43

Machine Learning Basics Supervised Learning Part-4

Video
00:49:57

Machine Learning Basics Supervised Learning Part-5

Video
00:50:36

Machine Learning Basics Supervised Learning Part-6

Video
00:01:54

Course Instructor

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SmartED Innovations

33 Courses   •   8144 Students