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Learn Data Science With GooglePay Expense Sharing and Uber Projects

Master Data science with GUVI’s Zenlite upskilling program. Learn in English, Tamil or Hindi. Gain hands-on knowledge through live sessions and real-time projects. Experience a beginner- friendly journey with us.

Learn Data Science With GooglePay Expense Sharing and Uber Projects Course

Master Data science with GUVI’s Zenlite upskilling program. Learn in English, Tamil or Hindi. Gain hands-on knowledge through live sessions and real-time projects. Experience a beginner- friendly journey with us.

Enroll into this course for just


₹49,999

₹24,999

Individual Certifications

Total Learners

Total Mentors

Total Learners

Expert - led curriculum

Individual Certifications

Total Learners

Total Mentors

Total Learners

100-hr program with live classes

Individual Certifications

Total Learners

Total Mentors

Total Learners

GUVI certification

Enroll into this course for just

₹49,999 

₹24,999

What is

Data Science With GooglePay and Uber Projects?

The Zenlite ‘Learn Data Science With GooglePay Expense Sharing and Uber Projects Course’ is designed for college students and professionals willing to upskill their data science journey. It offers an immersive, hands-on experience with practical projects, such as Google Expense Sharing and Uber Ride History Data Cleaning, among others.

Build a 

Successful Future with Us

Join our community of achievers and set the foundation for a successful future by enrolling in our course.

Build a

Successful Future with Us

Join our community of achievers and set the foundation for a successful future by enrolling in our course.

"The data science course is excellent; the explanation of concepts was crisp. The instructors have good depth in the subject and solve every doubt one might have. Thanks to GUVI for setting a great structured program."

"GUVI helps me to learn technology and to improve my coding skills and logical pr oblem-solving ability. I got an opportunity to attend an interview in PayPal via guvi and I got an offer at PayPal. Guvi is a great platform when it utilized in right manner."

"GUVI is one of the best platforms to start a new course and a new career. Advanced Programming and Master Data Science is one of the best programs trained by industry experts. It has its software to practice and a vast number of exercises."

"The data science course is excellent; the explanation of concepts was crisp. The instructors have good depth in the subject and solve every doubt one might have. Thanks to GUVI for setting a great structured program."

"GUVI helps me to learn technology and to improve my coding skills and logical pr oblem-solving ability. I got an opportunity to attend an interview in PayPal via GUVI and I got an offer at PayPal. GUVI is a great platform when it utilized in right manner."

"GUVI is one of the best platforms to start a new course and a new career. Advanced Programming and Master Data Science is one of the best programs trained by industry experts. It has its software to practice and a vast number of exercises."

Why Choose

Learn Data Science Course

Unlock the full potential of your data science journey with our uniquely designed zenlite data science course that offers unparalleled support and resources to ensure your success. Here’s what sets us apart

Live Doubt Clarification Sessions for real-time support

Individual Certifications

Total Learners

Total Mentors

Total Learners

GUVI Certification upon course completion

Doubt Chat Support for continuous assistance

Individual Certifications

Total Learners

Total Mentors

Total Learners

Portfolio Sessions and Reviews for building a professional portfolio.

Project-Based Learning with 10 hands-on projects

Individual Certifications

Total Learners

Total Mentors

Total Learners

Access to GUVI Practice Platforms for continuous learning

A Capstone Project to showcase your skills

Individual Certifications

Total Learners

Total Mentors

Total Learners

7-Days Refund Policy for risk-free enrollment

Skill Monetization sessions with practical earning strategies.

Individual Certifications

Total Learners

Total Mentors

Total Learners

EMI Options Available starting from Rs. 750/month

Multilingual course availability in English, Hindi, and Tamil

Individual Certifications

Total Learners

Total Mentors

Total Learners

Open Source Projects to contribute and learn from

Live Doubt Clarification Sessions for real-time support

Doubt Chat Support for continuous assistance

Project-Based Learning with 10 hands-on projects.

A Capstone Project to showcase your skills

EMI Options Available starting from Rs. 750/month

Open Source Projects to contribute and learn from

GUVI Certification upon course completion

7-Days Refund Policy for risk-free enrollment

Access to GUVI Practice Platforms for continuous learning

Portfolio Sessions and Reviews for building a professional portfolio.

Skill Monetization sessions with practical earning strategies.

Multilingual course availability in English, Hindi, and Tamil

Top Industrial

Projects You Will Build

Gain hands-on experience and apply your knowledge with our comprehensive selection of real-world projects designed to prepare you for a successful career in data science.

GooglePay Expense Sharing

Develop a Python program to manage shared expenses among friends, calculate payments and reimbursements, and display final settlement amounts.

Predictive Analysis of IPL Match Outcomes

Conduct a comprehensive data analysis of IPL matches to predict outcomes using historical match data, player statistics, and other relevant variables.

Google News Topic Clustering

Apply clustering techniques to group news articles based on content similarity, enhancing user experience by providing more relevant news updates.

Uber Ride History Data Cleaning

Clean and preprocess Uber's ride history data to fix missing timestamps, verify trip distances, and categorize rides correctly using Pandas and datetime libraries

Netflix Content Analysis

Analyze viewer preferences and trends in Netflix content to optimize content creation and acquisition strategies, providing insights for strategic decision-making.

IBM HR Analytics

Predict employee attrition and performance trends at IBM using logistic regression and decision trees, helping optimize workforce management and retention strategies.

Credit Card Fraud Detection for Mastercard

Develop a classification model to detect fraudulent transactions and ensure secure payments, analyzing transaction details and user behavior patterns.

Amazon Product Recommendation System

Create a recommendation system using collaborative filtering and content-based filtering techniques to provide personalized product suggestions for Amazon users.

GooglePay Expense Sharing

Develop a Python program to manage shared expenses among friends, calculate payments and reimbursements, and display final settlement amounts.

Uber Ride History Data Cleaning

Clean and preprocess Uber's ride history data to fix missing timestamps, verify trip distances, and categorize rides correctly using Pandas and datetime libraries

Predictive Analysis of IPL Match Outcomes

Conduct a comprehensive data analysis of IPL matches to predict outcomes using historical match data, player statistics, and other relevant variables.

Google News Topic Clustering

Apply clustering techniques to group news articles based on content similarity, enhancing user experience by providing more relevant news updates.

Netflix Content Analysis

Analyze viewer preferences and trends in Netflix content to optimize content creation and acquisition strategies, providing insights for strategic decision-making.

IBM HR Analytics

Predict employee attrition and performance trends at IBM using logistic regression and decision trees, helping optimize workforce management and retention strategies.

Credit Card Fraud Detection for Mastercard

Develop a classification model to detect fraudulent transactions and ensure secure payments, analyzing transaction details and user behavior patterns.

Amazon Product Recommendation System

Create a recommendation system using collaborative filtering and content-based filtering techniques to provide personalized product suggestions for Amazon users.

GooglePay Expense Sharing

Develop a Python program to manage shared expenses among friends, calculate payments and reimbursements, and display final settlement amounts.

Google News Topic Clustering

Apply clustering techniques to group news articles based on content similarity, enhancing user experience by providing more relevant news updates.

Uber Ride History Data Cleaning

Clean and preprocess Uber's ride history data to fix missing timestamps, verify trip distances, and categorize rides correctly using Pandas and datetime libraries

Predictive Analysis of IPL Match Outcomes

Conduct a comprehensive data analysis of IPL matches to predict outcomes using historical match data, player statistics, and other relevant variables.

Netflix Content Analysis

Analyze viewer preferences and trends in Netflix content to optimize content creation and acquisition strategies, providing insights for strategic decision-making.

IBM HR Analytics

Predict employee attrition and performance trends at IBM using logistic regression and decision trees, helping optimize workforce management and retention strategies.

Credit Card Fraud Detection for Mastercard

Develop a classification model to detect fraudulent transactions and ensure secure payments, analyzing transaction details and user behavior patterns.

Amazon Product Recommendation System

Create a recommendation system using collaborative filtering and content-based filtering techniques to provide personalized product suggestions for Amazon users.

Program Overview

Our curriculum has been thoughtfully structured by industrial experts to cover the essentials of Data Science.

MODULE 1 - 5 Hours

Introduction to Data Science

Understand the fundamentals of data science, its significance, historical evolution, key applications, and interdisciplinary nature.

MODULE 2 - 10 Hours

Python for Data Science

Master the basics of Python, including data structures, functions, and modules, along with essential libraries like NumPy and Pandas.

MODULE 3 - 8 Hours

Data Manipulation and Analysis with Pandas

Learn to manipulate and analyze data using Pandas, focusing on data cleaning, aggregation, merging, and joining DataFrames.

MODULE 4 - 7 Hours

Data Visualization

Discover the importance of data visualization and create effective visualizations using Matplotlib, Seaborn, and Plotly.

MODULE 5 - 8 Hours

Introduction to Statistics

Get a solid foundation in descriptive and inferential statistics, probability, and statistical tests essential for data analysis.

MODULE 6 - 10 Hours

Introduction to Machine Learning

Explore the basics of machine learning, including supervised and unsupervised learning, and apply key algorithms for predictive modeling.

MODULE 7 - 2 Hours

Capstone Projects and Presentation

Implement a comprehensive data science project, from planning and data preparation to analysis, modeling, and presenting your findings.

Skills

Showcase and Monetize 

Our program will help you project and monetize your skills in the right manner to ensure you find a solid footing in the field.

Who Should

Learn this Course

Learn Data Science course

Upcoming Batch Dates

July

24

Closed

August

07

August

16

Learn Data Science

Course Fee

Master the in-demand skills in data science at an affordable fee.

Program fee

₹49,999
₹24,999

Experience With Real-World Projects

Comprehensive Capstone Data Science Project

Customized Career Path Guidance


About GUVI

GUVI is India’s first Vernacular EdTech platform of its kind. GUVI stands for ‘Grab Ur Vernacular Imprint’, dedicated to making technical education accessible and effective by breaking down language barriers. India's premier institutions incubate our pioneering EdTech company: the Indian Institute of Technology Madras (IIT-Madras) and the Indian Institute of Management Ahmedabad (IIM-A). We aim to significantly impact tech upskilling, opening doors for learners across India to acquire valuable technical skills in their vernacular languages. By democratizing tech education online through prominent partnerships with Google-for-Education, UiPath, NASSCOM, AICTE & IIT-M, GUVI has made it possible to impart job-ready tech skills to the ambitious aspirants.

About GUVI

GUVI is India’s first Vernacular EdTech platform of its kind. GUVI stands for ‘Grab Ur Vernacular Imprint’, dedicated to making technical education accessible and effective by breaking down language barriers. India's premier institutions incubate our pioneering EdTech company: the Indian Institute of Technology Madras (IIT-Madras) and the Indian Institute of Management Ahmedabad (IIM-A). We aim to significantly impact tech upskilling, opening doors for learners across India to acquire valuable technical skills in their vernacular languages. By democratizing tech education online through prominent partnerships with Google-for-Education, UiPath, NASSCOM, AICTE & IIT-M, GUVI has made it possible to impart job-ready tech skills to the ambitious aspirants.

Frequently 

Asked Questions

If you still need clarification with the course, find your answers to the questions below.

1. What is the total duration of the Learn Data Science with GooglePay Expense Sharing and Uber Data Projects Course?

The total duration of this Zenlite Data Science Course is 100 hours. This includes 50 hours of live classes, 10 hours of dedicated doubt clarification sessions, 20 hours of hands-on project work, and 20 hours of practice and assessment. The comprehensive structure ensures thorough learning and practical application.

2. In which languages is the course available?

The Zenlite Data Science Course is available in three languages: English, Tamil, and Hindi. This multilingual approach ensures that learners can understand the content in their preferred language, making the learning process more effective and inclusive.

3. What is the mode of delivery for this course?

The course is delivered entirely online through live sessions. This allows you to learn from the comfort of your home while still engaging with instructors and classmates in real-time. The interactive online format ensures a flexible and immersive learning experience.

4. How much does the course cost?

The course fee is Rs. 24,999. This cost includes access to all live classes, doubt clarification sessions, project work, practice assessments, and additional resources provided throughout the course. EMI options are also available to make the payment process easier.

5. Are there any projects included in the course?

Yes, the course includes 20 hours of hands-on projects where you can apply the skills you learn in real-world scenarios. These projects are designed to give you practical experience and help you build a strong portfolio of work that showcases your abilities.

6. What kind of support is available for clearing doubts?

The Zenlite Data Science Course offers 10 hours of dedicated doubt clarification sessions to ensure all your questions are addressed. Additionally, you have access to continuous doubt chat support throughout the course, providing timely assistance whenever you need it.

7. Will I receive a certification upon completing the course?

Yes, upon successfully completing the course, you will receive a GUVI certification. This certification is a testament to your acquired skills and knowledge, and it can enhance your resume, making you more competitive in the job market.

8. Are there any EMI options available?

Yes, EMI options are available starting from Rs. 750/month. This flexible payment plan allows you to spread the cost of the course over several months, making it more affordable and manageable.

9. Is there a refund policy for the course?

Yes, there is a 7-days pre-boot refund policy. If you are not satisfied with the pre-boot session within the first seven days, you can request a refund, ensuring a risk-free enrollment process. For further details, please contact our support team.

10. What are the main topics covered in the course?

The course covers a comprehensive range of topics including programming fundamentals, data manipulation, data visualization, statistics, and machine learning. Additionally, it includes practical project work, a capstone project, and open-source projects to ensure you gain hands-on experience and a deep understanding of data science concepts.

11. Who is the course for?

GUVI’s Learn Data Science With GooglePay Expense Sharing and Uber Data Projects Course is a beginner-level course and can be taken up by college students, graduates and anyone interested in gaining basic knowledge and skills.

Learn Data Science With GooglePay Expense Sharing and Uber Projects Course

Master Data science with GUVI’s Zenlite upskilling program. Learn in English, Tamil or Hindi. Gain hands-on knowledge through live sessions and real-time projects. Experience a beginner- friendly journey with us.

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