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.
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.
After completing this program, learners can explore roles such as:
Data Scientist
Data Analyst
Business Analyst
Machine Learning Engineer
Data Engineer (Entry-Level)
AI / Data Consultant
Python for Data Science
Data Cleaning & Preprocessing
Exploratory Data Analysis (EDA)
Data Visualization (Matplotlib / Seaborn)
Statistics & Probability
SQL for Data Handling
Machine Learning Basics
Real-world Data Science Projects
With a wide range of programs- Professional, Mentor-Led & Self Paced; CognivaRise aims to cater the students from various backgrounds with or without prior knowledge. Our industry mentors start from the basics to developing advanced capstone projects. We help students in developing their core competencies in their respective field of interest.
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
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
6000 Per Course
10000 Per Course
15000 Per Course