Foundation of Data Science

Online Course | 40 hour | Certificate Included
Launch your journey with essential Python skills, data manipulation, visualization, and basic machine learning concepts.
4.5
(2)
6 Enrolled
40 hours

About Course

Launch your journey with essential Python skills, data manipulation, visualization, and basic machine learning concepts.                                                                                                            The “Foundation of Data Science” course by IFACET IITK is a comprehensive program designed for individuals starting their journey in data science. It offers a mix of self-paced videos and live online sessions, spanning over 2 months with a total of 40 hours of instruction. The course covers fundamental concepts of data science, data manipulation using Python and Pandas, data visualization, statistical concepts, and an introduction to machine learning. Participants are engaged through assignments, projects, and receive a certificate upon completion. The course is suitable for those with a basic understanding of programming and mathematics, aiming to build a solid foundation in data science.

Overview of course – 

  • Start Date : 15th Jan 2023
  • Course Type: Online Live Course
  • Duration: 40 hours 
  • Total Lectures: 20
  • Skill Level: Intermediate
  • Assessments: Assignments & Projects 
  • Certificate: Yes 

For Self-Paced Programs: 2 Doubt Session(s)/Master Classes

Faculty Members – 

  • S. Aggarwal
  • Nandan Mishra
  • Niraj T.
  • Shantam D.
  • U. Tiwari
  • S. Garg

Delivery Mode & Duration – 

  • Online Live Mode- 2 Months (40 Hours Online Live sessions + 60 Hours of Assignment and Hands on)

 

 

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What Will You Learn?

  • Understand the fundamental concepts of data science and its applications.
  • Learn data manipulation techniques using Python and Pandas.
  • Gain proficiency in data visualization to effectively communicate insights.
  • Apply statistical concepts and hypothesis testing for data analysis.
  • Explore the basics of machine learning and build predictive models.

Audience

  • Individuals interested in starting a career in data science and analytics.
  • Participants should have a basic understanding of programming and mathematics.

Course Content

Introduction to Data Science (4 hours)

  • Understanding the role of data science in various industries. 
  • Exploring the data science workflow and methodologies. 
  • Overview of data analysis, data visualization, and machine learning. 

Data Manipulation with Python and Pandas (10 hours)

Data Visualization (8 hours)

Statistical Concepts and Hypothesis Testing (10 hours) 

Introduction to Machine Learning (8 hours)

Practical Data Science Project (10 hours)

Instructors

I

ikigaischool

4.4
25 Students
15 Courses

Feedback

4.5
Total 2 Ratings
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Reviews (2)

  1. NN

    Naresh Naresh

    3 months ago
    Ok
  2. 2 years ago
    At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint.

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