Stay ahead of the Data Science curve with this Best Data Science course in India. Master essential Data Science skills through applied learning with live classes by industry experts, asynchronous videos, hands-on labs, and masterclasses from distinguished IIT Kanpur faculty.
Live masterclasses from IIT Kanpur faculty and certificate from E&ICT Academy, IIT Kanpur
Career mentorship and profile-building sessions with valuable insights from industry experts
We have designed a carefully curated curriculum that includes critical topics like Python, Machine Learning, NLP, and Data Visualization, delivered using hands-on labs, and industry-relevant projects to help you advance your career trajectory. This Data Science course in India aims to demystify data science.
This Data Science course in India is an all-encompassing course offered by Simplilearn in collaboration with E&ICT Academy, IIT Kanpur. Join this program and master various skills to excel in your work.
The Data Science course in India provides comprehensive learning on key data science skills like statistics, R, Python, Machine Learning, NLP, Data Visualization, and many more through live sessions, practical labs, and industry-relevant projects
Get started with the Professional Certificate in Data Science Course, explore everything about the curriculum and kickstart your data science journey through this introductory session.
Learn various statistics essentials required in data science in this course. The Professional Certificate in Data Science Course explains measures of central tendency and dispersion, skewers, regression, correlation, and distribution. It will also equip you with the knowledge to make data driven decisions through statistical inference.
Programming is an increasingly important skill and this course will establish your proficiency in handling basic programming concepts. By the end of this Professional Certificate in Data Science Program, you will understand object-oriented Programming; basic programming concepts such as data types, variables, strings, loops, and functions; and software engineering concepts such as multithreading and multitasking using Python.
This Professional Certificate in Data Science Program provides a comprehensive overview of data tools and techniques in Python. Elevate your Python skills to the next level with this course by learning various data science and analytics techniques using Python programming.
In this Professional Certificate in Data Science Program, you will master Machine Learning techniques, including supervised and unsupervised learning, and hands-on modeling, thereby expanding your data science skills.
Data visualization is an essential skill for all data scientists, and this course on Tableau will help you master this skill.
At the end of this Professional Certificate in Data Science Program, you'll culminate your newly gained data science skills with a hands-on, industry-relevant, portfolio-worthy capstone project - one that brings together knowledge acquired from various courses in the learning path.
Learn Excel and utilize it to make data-driven decisions using statistics and data analysis concepts. This Professional Certificate in Data Science Program will equip you with the necessary skills to utilize Excel for performing analytics for various business situations.
Master SQL and improve your career prospects with this Professional Certificate in Data Science. Functional knowledge of SQL (Structured Query Language), the leading programming language for relational database management systems, is in high demand and will help you in various stages of your data science journey.
Learn to create BI reports, DAX commands, dashboards and functions on one of the leading data visualization tools - Power BI. Learning PowerBI will definitely set you apart from others in the job market.
The most in-demand open-source technology is R Programming. Learn how this programming language unlocks the power of Data Science in this course.
This Professional Certificate in Data Science Course covers the fundamentals of Natural Language Processing using the most popular library; Python’s Natural Language Toolkit (NLTK).
Attend an online interactive masterclass delivered by IIT Kanpur faculty and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
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Help Uber improve the accuracy of its fare prediction model by choosing the best data and AI technologies for its next-generation model.
Help Mercedes-Benz revamp its testing model to reduce the time it spends on the best bench by building and optimizing its ML algorithm.
Amazon wants to improve its recommendation engine to offer better recommendations to its customers. Build and modify the ML algorithm to help increase their revenue per customer.
Walmart wants to improve its algorithms to predict accurately store sales. The algorithm needs to take into account macroeconomic factors like CPI and unemployment rate on sales.
Help improve the customer experience for Comcast by identifying and acting on problem areas that lower customer satisfaction, and seeking recommendations that can be implemented.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Professor Amey Karkare is the Poonam and Prabhu Goel Chair Professor, Department of Computer Science and Engineering at IIT Kanpur. His areas of focus are applications of Program Analysis, Compiler Optimizations, Software Engineering, and Machine Learning to build software systems.
The diversity of our cohorts brings intensity to classroom conversations and interactions. Our programs cater to learners from a wide range of sectors and experiences.
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.
Tell us a bit about yourself and why you want to do this program
An admission panel will shortlist candidates based on their application
Selected candidates can join the program by paying the admission fee
For admission in this Professional Certificate in Data Science, candidates should have: