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DATA SCIENCE WITH PYTHON

This comprehensive Data Science course covers all essential aspects of data analysis, machine learning, and statistics. Starting with an introduction to data science, you will learn tools like Python, SQL, and libraries such as Pandas and Scikit-learn. Modules include data collection, preprocessing, Python for data science, and data visualization. You will explore key concepts in statistics, hypothesis testing, and correlation analysis. The course also delves into machine learning, covering supervised and unsupervised learning techniques, and includes hands-on SQL practice. The capstone project allows you to apply everything learned in a real-world data science project.

Course Instructor: SKILLUMNI

₹4130.00 ₹6999.00 41% OFF

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Course Overview

Data Science Course (2-3 Months)

This intensive, 2-3 month Data Science course combines structured learning with hands-on experience to equip you with the essential skills and industry knowledge required to succeed in the field of data science.

Month 1-2: In-Depth Training with Industry Mentors

Objective: Build a strong foundation and gain valuable industry insights under the guidance of experienced professionals.
Format: Pre-recorded content for flexible, self-paced learning.

Key Components:

  • Recorded Content: Access high-quality pre-recorded sessions that allow you to learn at your own pace.
  • Topics Covered: Core concepts including data science lifecycle, Python, SQL, data cleaning, exploratory data analysis (EDA), data visualization, machine learning basics, and statistical techniques.

Month 2: Practical Hands-On Project Experience

Objective: Apply your learned knowledge to real-world problems through live projects and collaborative learning.

Key Components:

  • Live Research and Development Projects: Work on both minor and major projects, solving real-world challenges to reinforce your skills.
  • Collaboration: Collaborate with peers in team-based projects to enhance problem-solving and analytical thinking.
  • Mentorship: Receive continuous guidance from industry professionals, ensuring the application of best practices and expert insights during the project phase.

Certification

Upon successful completion of the program, you will receive:

  • Course Completion Certificate: Recognizing your mastery of data science concepts and successful completion of the training.
  • Collaborated Internship Completion Certificate: Validating the hands-on experience gained through real-world projects and collaboration.

This course provides the ideal combination of flexibility, mentorship, and practical experience to launch your career in data science.

Schedule of Classes

Start Date & End Date

Mar 20 2025 - Jun 20 2025

Course Curriculum

1 Subject

DATA SCIENCE

34 Learning Materials

MODULE 1

CHAPTER 1

Video
00:57:25

CHAPTER 2

Video
01:03:02

CHAPTER 3

Video
00:52:20

CHAPTER 4

Video
01:01:37

MODULE 2

CHAPTER 5

Video
01:02:25

CHAPTER 6

Video
00:51:15

CHAPTER 7

Video
01:00:59

CHAPTER 8

Video
00:58:15

CHAPTER 9

Video
00:59:52

MODULE 3

CHAPTER 10

Video
01:02:35

CHAPTER 11

Video
00:59:09

CHAPTER 12

Video
01:07:51

CHAPTER 13

Video
00:58:29

MODULE 4

CHAPTER 14

Video
00:56:02

CHAPTER 15

Video
01:00:47

CHAPTER 16

Video
00:55:38

CHAPTER 17

Video
00:58:26

CHAPTER 18

Video
01:00:49

MODULE 5

CHAPTER 19

Video
01:02:15

CHAPTER 20

Video
00:49:16

CHAPTER 21

Video
00:56:37

CHAPTER 22

Video
00:59:01

CHAPTER 23

Video
00:56:09

CHAPTER 24

Video
00:55:31

CHAPTER 25

Video
00:58:57

MODULE 6

CHAPTER 26

Video
00:56:13

CHAPTER 27

Video
00:52:08

CHAPTER 28

Video
00:48:16

CHAPTER 29

Video
00:39:47

MODULE 7

CHAPTER 30

Video
01:08:54

CHAPTER 31

Video
01:19:47

CHAPTER 32

Video
00:40:35

CHAPTER 33

Video
00:57:08

CHAPTER 34

Video
00:47:58

Course Instructor

tutor image

SKILLUMNI

11 Courses   •   884 Students