CognivaRise

Building Your Future...

Career-focused technology program

Data Science

Data Science combines statistics, programming, and domain knowledge to extract meaningful insights from data and support intelligent decision-making. The Data Science program at CognivaRise is designed to help learners build strong analytical thinking, hands-on data skills, and practical experience required to solve real-world business problems using data.

  • Lifetime learning access
  • 3+ practical projects
  • Expert mentor guidance
  • Live doubt-clearing support
  • Internship certificate
  • Placement preparation
  • 60-day learning path
  • Regular evaluation
Program overview

Build knowledge you can apply

Data drives decisions, and this program is built to help you think, analyze, and solve problems like a data professional. The Data Science program at CognivaRise focuses on turning raw data into meaningful insights through a structured, hands-on learning journey.

Learners progress from data handling and analysis to visualization and predictive modeling, working with real datasets used in industry. The program emphasizes practical implementation, business understanding, and analytical storytelling, rather than just tools and theory.

With guided learning modules, project-based practice, and placement-focused preparation, this program helps you build the confidence and skills needed to step into data-driven roles across industries.

Data Science learning overview
Structured learning path

Curriculum built for practical progress

Move from core concepts to hands-on work with guided modules and portfolio-focused projects.

Industrial Training

Module 1 Anaconda
Module 2 Data types in Python
Module 3 All about Strings
Module 4 Strings Methods
Module 5 All about Lists
Module 6 Control Structure and Flows in Python
Module 7 Conditional Statements in Python
Module 8 Loops in Python
Module 9 What are Functions
Module 10 Arguments in Functions
Module 11 Decorator
Module 12 Generator
Module 13 Objects and Classes
Module 14 Files
Module 15 Exception Handling in Python
Module 16 Python Packages
Module 17 Introduction to SQL
Module 18 Getting started with SQL
Quiz

Advanced Internship Projects

Project 1 Scrapping a website Jumia
Project 2 Amazon Forest Fires Analysis using Pandas and Matplotlib
Project 3 Fake News Detection
Project 4 Cab Fare Prediction
Project 5 Santander Bank customer transaction prediction using Python

Program credentials

Certificates that recognise your progress

Certificate eligibility depends on the selected plan and successful completion of the applicable learning requirements.

  • Participation Certificate
  • Industrial Training Completion Certificate
  • Internship Completion Certificate
Participation certificate sample
Industrial training certificate sample
Internship certificate sample
Meet your guides

Learn with experienced mentors

Get practical guidance from professionals who connect concepts with real-world application.

Mahesh Shinde

Mahesh Shinde

Company associated with Mahesh Shinde

is the Founder of CognivaRise and an experienced technology mentor with expertise in Data Science, Python, SQL, and business analytics. He is passionate about helping students master data analysis, visualization, and machine learning through practical, project-based learning.

Sanket Mangle

Sanket Mangle

Company associated with Sanket Mangle

Sanket is a Technology Professional at Tech Mahindra, specializing in Data Science, Machine Learning, and data analytics. With hands-on industry experience, he mentors students in building predictive models, analyzing complex datasets, and developing practical data-driven solutions.

Choose how you learn

Simple learning plans for different goals

Compare the core support included in each plan. Our advisor can confirm current availability and complete inclusions before payment.

Self-Paced Learning

For independent learners who want maximum flexibility.

6,000/ course
  • Lifetime dashboard access
  • Self-paced learning modules
  • 3+ industry-based projects
  • Completion certificates
  • Interview and résumé preparation
  • Student community access

Professional

For comprehensive technical and career preparation.

15,000/ course
  • Everything in Personal Mentorship
  • Aptitude and soft-skill grooming
  • Group discussion preparation
  • Extended mock interviews
  • Hiring-readiness guidance
  • Partner opportunities when eligible
Learner experiences

What students say about CognivaRise

Feedback from learners who developed practical skills through structured training and mentorship.

★★★★★
“CognivaRise gave me the tools and mentorship to stand out. It has been a turning point in my learning journey.”
Sonali PatilCognivaRise learner
★★★★★
“CognivaRise helped me build skills that employers value. The practical guidance gave me greater confidence in my career preparation.”
Rushi PisoleCognivaRise learner
★★★★★
“The program helped me build industry-relevant skills step by step. I now feel more confident approaching practical challenges.”
Mayuri PatilCognivaRise learner
★★★★★
“The learning experience strengthened my critical thinking and problem-solving approach through practical exercises and projects.”
Shravani ChitnisCognivaRise learner
★★★★★
“CognivaRise offered a useful balance of concepts and practical work that helped me prepare for long-term professional growth.”
Kaustubh PatilCognivaRise learner
★★★★★
“I learned how to connect concepts with practical work. The combination of guidance and projects made a real difference.”
Pranali GovandeCognivaRise learner
★★★★★
“The structured learning path helped me understand what to practise and how to apply my skills toward my career goals.”
Kunal MehtaCognivaRise learner
Common questions

Frequently asked questions

Clear answers to help you make an informed enrolment decision.

Free program guidance

Take the next step in Data Science

Tell us about your learning goal. Our team will explain the current schedule, plan options and enrolment process.

  • No payment required to request guidance
  • Clear information about batch availability
  • Recommendations based on your goal
Ready when you are

Build your learning plan with CognivaRise

Review the curriculum or speak with an advisor before making your enrolment decision.