Data Science

🚀 AI Powered Learning

Data Science

Analyze. Predict. Innovate


Duration

180 Hours

Fees

25000 /-
Data Science

Why Students Choose Our Institute

Practical learning, expert guidance and placement support to help you become industry ready.

100%
Practical Training
Live
Project Experience
AI
Modern Learning
1:1
Mentorship
Job
Placement Support
Cert.
Certification

Course Highlights

Key features of our industry-oriented training program.

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Comprehensive understanding of Data Science concepts and workflows

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Hands-on training in Python for Data Analysis and Data Science

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Data Visualization using industry-standard tools and libraries

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Data Collection, Cleaning, and Preprocessing techniques

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Statistical Analysis and Probability Fundamentals

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Introduction to Machine Learning and Predictive Analytics

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Working with Databases using SQL and Data Management techniques

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Exploratory Data Analysis (EDA) for discovering meaningful insights

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Dashboard Creation and Business Intelligence Reporting

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Real-world case studies and industry-focused projects


Benefits of Our Course

Everything you need to become job-ready.

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High Career Demand: Data scientists are among the most sought-after professionals across industries.

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Lucrative Salary Packages: Gain skills that can lead to well-paying job opportunities.

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Hands-on Learning: Work on real-world datasets and industry-relevant projects.

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Strong Programming Skills: Learn popular tools like Python, SQL, and data visualization libraries.

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Data-Driven Decision Making: Learn how to analyze data and generate actionable business insights.

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Certification: Earn a certificate to showcase your skills to employers.


Who Can Join This Course?

This course is suitable for learners from different backgrounds.

Students
Working Professionals
Job Seekers
Fresh Graduates
Career Switchers
Business Owners
Freelancers
Anyone Interested in Learning

Course Outcomes

By the end of this course, you will be able to:

Collect, clean, and organize data efficiently.
Analyze large datasets and extract meaningful insights.
Create professional charts, reports, and dashboards.
Apply statistical techniques for data-driven decision-making.
Build and evaluate Machine Learning models.
Use Python libraries for data analysis and visualization.
Solve real-world business problems using Data Science techniques.
Develop a strong portfolio through practical projects and case studies.
Prepare for careers in Data Science, Data Analytics, Business Analytics, and Artificial Intelligence.

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