Data Science course
Shaping the Future with Data
Data Science course
Data Science combines statistics, programming, and domain expertise to extract meaningful insights from data. This comprehensive course will guide you through the foundational concepts to advanced techniques, equipping you to excel in the data-driven world.
Why Choose Us?
- Expert trainers with extensive industry experience.
- Up-to-date curriculum designed for real-world application.
- Guidance for ISTQB certification and career placement support.
- Flexible learning options to fit your schedule.
What You’ll Learn
- Data Science Foundations
- Data Wrangling and Preprocessing
- Statistics and Probability
- Programming for Data Science
- Machine Learning Algorithms
- Deep Learning Basics
- Big Data Analytics
- Real-World Applications
Data Science
Data Science Course
Our Data Science course is a comprehensive, hands-on program that prepares you for one of the most in-demand careers today. Learn how to extract insights from data using advanced tools, techniques, and real-world projects, and become a data-driven decision maker in any industry.
Course Overview
The course is designed for beginners and intermediate learners, offering a step-by-step journey through the core concepts of Data Science — from data analysis and visualization to machine learning and predictive modeling.
What You Will Learn
Core Modules:
Introduction to Data Science
Overview, applications, and career paths
Python Programming for Data Science
Basics, data types, functions, libraries (NumPy, Pandas)
Data Wrangling & Cleaning
Handling missing data, data transformation
Exploratory Data Analysis (EDA)
Visualizing trends, correlations, distributions
Statistics & Probability
Descriptive statistics, hypothesis testing
Machine Learning
Supervised & unsupervised learning, algorithms like regression, classification, clustering
Data Visualization
With Matplotlib, Seaborn, Power BI/Tableau
Capstone Project
Solve a real-world problem using the full data science lifecycle
Tools & Technologies Covered
- Programming: Python, Jupyter Notebook
Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
Data Viz: Power BI, Tableau
Databases: SQL
Machine Learning: Scikit-learn, basic TensorFlow/PyTorch (optional advanced modules)
Who Can Join?
Students & graduates (any background)
Working professionals looking to upskill or shift careers
Entrepreneurs & analysts who want to make data-driven decisions
Course Details
Duration: 3 to 6 months (varies by batch type)
Mode: Online / Offline / Hybrid
Level: Beginner to Intermediate
Certification: Yes (institute-verified or partnered certification)
Placement Assistance: Included
Why Choose Us?
Industry-Aligned Curriculum
Project-Based Learning
Expert Mentors & Live Sessions
Recognized Certification
Placement & Internship Support
Become a Certified Data Scientist
Turn your curiosity into career power. Learn from experts, practice with real datasets, and launch your career in Data Science.
