Data Scientist

The Data Scientist course is a comprehensive 40-hour program designed to provide students with the essential skills and knowledge to excel in the field of data science. This course focuses on advanced statistical analysis, machine learning techniques, data visualization and storytelling, and experimentation and A/B testing. Through hands-on exercises and real-world examples, students will gain practical experience in applying statistical analysis, implementing machine learning models, creating compelling data visualizations, and conducting experiments. By completing this course, students will be well-prepared to pursue a career as a Data Scientist and contribute to data-driven decision-making processes. 

Course Date

20th August 2023


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 Data Scientist 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


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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 Data Scientist

Module 1: Advanced Statistical Analysis (10 hours) 

  • Hypothesis testing and confidence intervals 
  • Analysis of Variance (ANOVA) 
  • Non-parametric statistics 
  • Time series Analysis 
  • Multivariate Analysis techniques 
  • Hands-on project: Analyzing real-world datasets using advanced statistical techniques. 

Module 2: Machine Learning Techniques and Model Interpretation (10 hours) 

  • Regression models (linear regression, logistic regression) 
  • Decision trees and random forests 
  • Support Vector Machines (SVM) 
  • Ensemble methods (bagging, boosting) 
  • Model interpretation and Feature importance 
  • Hands-on project: Implementing and evaluating machine learning models for classification and regression tasks. 

Module 3: Data Visualization and Storytelling (10 hours) 

  • Principles of data visualization 
  • Exploratory data Analysis and visualization techniques 
  • Designing effective visualizations for different types of data 
  • Storytelling with data and creating compelling narratives 
  • Dashboard design and interactive visualizations 
  • Hands-on project: Creating impactful data visualizations and presenting insights through storytelling. 

Module 4: Experimentation and A/B Testing (10 hours) 

  • Designing experiments and Hypothesis formulation 
  • Conducting A/B tests and analyzing results 
  • Statistical significance and power Analysis 
  • Experimental design for online platforms 
  • Interpreting experiment results and making data-driven decisions 
  • Hands-on project: Designing and conducting A/B tests on real-world scenarios. 

Module 5: Real-World Case Studies (5 hours) 

  • Analyzing and addressing real-world data science challenges 
  • Applying learned concepts to solve practical problems 
  • Demonstrating proficiency in data-driven decision-making through case studies. 

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Eligibility Criteria

For admission to this Professional Certificate course in Data Scientist 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: 

  • Gain expertise in advanced statistical analysis, including hypothesis testing, ANOVA, and time series analysis, enabling meaningful insights from complex datasets. 
  • Acquire practical knowledge in machine learning techniques like regression, decision trees, and support vector machines, along with understanding ensemble methods for classification and regression tasks. 
  • Interpret machine learning models and determine feature importance to make data-driven decisions and improve model performance. 
  • Master data visualization principles, design impactful visualizations, and create compelling narratives for effective data communication. 
  • Develop proficiency in experimentation and A/B testing, applying statistical significance and power analysis to make informed decisions and solve real-world data science challenges through case studies. 

FAQ for Data Scientist Course

For admission to this Data Scientist 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 Data Scientist 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 Data Scientist 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 Data Scientist 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.

Submit Application 

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


Application Review 

An admission panel will shortlist candidates based on their application 



Selected candidates can join the program by paying the admission fee 

Apply Now!

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