Foundation of Data Science

The Foundation of Data Science course is a comprehensive 40-hour program designed to provide students with the fundamental concepts and skills needed to kickstart their journey in the field of data science. This course covers the basics of data manipulation, data analysis, data visualization, statistical concepts, and machine learning fundamentals. Through hands-on exercises and real-world examples, students will gain practical experience in working with data, applying statistical techniques, and building predictive models. By completing this course, students will be well-prepared to pursue advanced data science studies and contribute effectively to data-driven decision-making processes. 

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Course Date

1st December 2023

Duration

40 hrs.

Delivery Format

Online Live

Why to Join This Course

Earn a program completion certificate from the prestigious E&ICT Academy, IIT Kanpur.
Utilize Ikigai’s Job Assist feature to enhance your visibility to leading hiring companies.
Attend masterclasses conducted by renowned faculty members from IIT Kanpur.
Engage in hands-on projects tailored to different industry sectors.

Join Our Foundation of Data Science Today!

Ready to embark on a transformative learning journey? Don’t miss this opportunity to gain valuable skills and elevate your career. Enroll in our comprehensive course today and join a community of learners dedicated to excellence. Take the first step towards unlocking your full potential!

Course Price

₹19,900.00

Key Features

Earn a program completion certificate.
Utilize Ikigai’s Job Assist feature to enhance your visibility to leading hiring companies.
Attend masterclasses conducted by renowned faculty members from IIT Kanpur.
Top-notch curriculum with integrated labs
Engage in hands-on projects tailored to different industry sectors.
Explore and apply practical tools and frameworks that can significantly enhance your work.
Enjoy smooth access to integrated labs for a seamless learning experience
Conclude the program with capstone projects spanning three distinct domains

Curriculum for Foundation of Data Science

Module 1: 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. 

Module 2: Data Manipulation with Python and Pandas (10 hours) 

  • Introduction to Python for data science. 
  • Pandas library for data manipulation and analysis. 
  • Data cleaning and preprocessing techniques. 

Module 3: Data Visualization (8 hours) 

  • Principles of effective data visualization. 
  • Using Matplotlib and Seaborn for creating plots and charts. 
  • Visualizing data distributions and patterns. 

Module 4: Statistical Concepts and Hypothesis Testing (10 hours) 

  • Descriptive statistics for data summarization. 
  • Inferential statistics and hypothesis testing. 
  • Correlation and regression analysis. 

Module 5: Introduction to Machine Learning (8 hours) 

  • Understanding the basics of machine learning. 
  • Supervised and unsupervised learning algorithms. 
  • Building simple predictive models using scikit-learn. 

Module 6: Practical Data Science Project (10 hours) 

  • Working on a hands-on data science project from data acquisition to model building. 
  • Applying data manipulation, visualization, statistical analysis, and machine learning techniques. 

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Eligibility Criteria

For admission to this Professional Certificate course in Data Analyst Course, candidates should have: 

  • Basic Programming Knowledge 
  • Database Fundamentals 
  • Data Analytics Basics 
  • Mathematics and Statistics (recommended but not mandatory) 
  • Data Analysis Tools (e.g., Pandas, NumPy, SQL) (recommended but not mandatory) 

Course Outcomes

Upon completion of this course, students will be able to: 

  • Understand the Role of Data Science: Students will grasp the significance of data science in various industries and gain insights into the data science workflow and methodologies. 
  • Proficient Data Manipulation and Visualization: Learners will become proficient in data manipulation using Python and Pandas, as well as data visualization techniques using Matplotlib and Seaborn to effectively communicate data patterns and distributions. 
  • Statistical Analysis and Hypothesis Testing: Participants will learn descriptive and inferential statistics, including hypothesis testing, correlation, and regression analysis, empowering them to draw meaningful conclusions from data. 
  • Introduction to Machine Learning: Students will gain a foundational understanding of machine learning, its algorithms, and how to build simple predictive models using scikit-learn. 
  • Hands-On Data Science Project: By completing a practical data science project, learners will apply their knowledge of data manipulation, visualization, statistical analysis, and machine learning to tackle real-world challenges, strengthening their data science skills and problem-solving capabilities. 

FAQ for Foundation of Data Science Course

For admission to this Foundation of Data Science Course, candidates should have: 

  • A bachelor’s degree with an average of 50 percent or higher marks 
  • Prior work experience is not mandatory 
  • Can be from a programming or non-programming background

The admission process for this Foundation of Data Science Course consists of three simple steps: 

  •  All interested candidates are required to apply through the online application form 
  • An admission panel will shortlist the candidates based on their application 
  • An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the program fee. 

As a part of this Foundation of Data Science Course you will receive the following: 

  • Masterclasses delivered by distinguished IIT Kanpur faculty 
  • Program completion certificate from E&ICT Academy, IIT Kanpur 
  • Ikigai Career Assistance post-completion of this program 

Upon successful completion of this Foundation of Data Science Course, you will be awarded a certificate of completion by E&ICT Academy, IIT Kanpur, and industry-recognized certification from Ikigai for courses in the learning path. 

This Data Science Course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device. 

We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after the completion of your Deep Learning and Generative AI course. 

Contact us using the form on the right side of any page on the Ikigai website, select the Live Chat link, or contact Help & Support. 

Admission Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
1

Submit Application 

Tell us a bit about yourself and why you want to do this program 

2

Application Review 

An admission panel will shortlist candidates based on their application 

3

Enrolment

Selected candidates can join the program by paying the admission fee 

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