Data Science Program
What you'll learn
- Students and Recent Graduates intending to bridge the gap between academic knowledge and practical skills.
- Working Professionals looking to enhance career prospects and stay updated with industry trends.
- Career Changers and Professionals on break intending to pivot to new industries by acquiring relevant skills.
- Freelancers and Entrepreneurs interested in expanding expertise for business growth and innovation.
Data Science
Program
Details
Introduction To Python
• Python Basics: Variables, Data Types, Conditionals, Loops
• Python Operators
• E-Commerce Order Processing Implementation
• Functions, Lambda Expressions, And Error Handling
• File Handling In Python
Working with Data
• Introduction To Pandas
• Data Manipulation With Pandas
• Sales Data Analysis Implementation
• Data Analysis With Numpy
• Weather Data Analysis
Data Visualization
• Introduction To Matplotlib
• Introduction To Seaborn
Introduction to Data Science
• Overview And Importance Of Data Science
• Data Science Workflow
• Key Skills And Tools In Data Science
Advanced Excel for Data Analysis
• Advanced Excel – Introduction
• Advanced Formulas And Functions
• Visualization In Excel
• Data Cleaning And Preparation Techniques
Data Preprocessing
• Data Normalization
• Data Cleaning
• Handling Missing Data
• Feature Engineering
• Feature Selection
Statistics Deep Dive
• Advanced Statistical Measures And Distributions, Correlation And Regression Analysis
Introduction to Power BI
• Introduction To Power Bi
• Installation And Overview Of Power Bi Tool
• Creating Dashboards And Reports
• Getting Started With Power Bi Desktop
Introduction to Machine Learning
• Overview And Applications Of Machine Learning
Major Machine Learning Algorithms
• Supervised Learning (Linear Regression, Logistic Regression, Decision Trees SVMs)
• Unsupervised Learning (K-Means Clustering, Hierarchical Clustering, PCA)
Experience-Based Learning Approach
Real-World Industrial Projects

Linkedin Job recommendation engine

Amazon Purchase Prediction Model

Paytm Fraud detection system
Curriculum
- 3 Sections
- 3 Lessons
- 90 Days
- Introduction1
- Getting Started with Python1
- Jupyter Overview1

Certifications
> Enhances the substantial weight of your resume and LinkedIn profile
> Drives career growth and the potential to double your salary
> Facilitates promising placements for freshers
> Adds credibility to your skill set, tools knowledge, and project expertise
Certificate of paticipation(IIT Bombay)
Internship Certificate
Certificate of Project Completion
Our Mentors

Rishabh Chandnani
Having Experience of 10+ years in the field of AI & ML. Rishabh is working in Walmart as SDE 3.

Anubhav Tripathi
IIT Bhopal Mentor

Emil
Engineer in AutoDesk (Full Stack Developer)
Your questions answered
Common Students Queries
Who is eligible for Wipro certificate?
Wipro offers certification programs suitable for a diverse range of individuals including
• Students and recent graduates
• Working professionals
• Freelancers and entrepreneurs
How will I get this certificate?
- Labsity Project Certificate: After submitting your final projects, you can expect to receive the certificate within two weeks.
- Wipro certificate: there is an examination to get a C certificate.
- Internship certificate: You will receive this after completing internship with partnered company.
What is the validity of certificate?
Earn our certification and enjoy lifetime validation of your expertise, ensuring your credentials remain current and valuable throughout your career.
Is it possible to pursue this program simultaneously with my college studies?
Absolutely! Our program is designed to be flexible, allowing students to adapt it to their timetables. We recommend dedicating 7-10 hours per week to the course.
What advantages can I gain from having industry mentors?
Industry mentors are seasoned professionals from well-established companies with demonstrated expertise in specific domains. They serve as your ideal mentors to assist you in making informed decisions about your career path in the industry.
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