Data Science
Data Science
Analyze. Predict. Innovate
Duration
180 HoursFees
25000 /-
Why Students Choose Our Institute
Practical learning, expert guidance and placement support to help you become industry ready.
100%
Practical TrainingLive
Project ExperienceAI
Modern Learning1:1
MentorshipJob
Placement SupportCert.
CertificationCourse Highlights
Key features of our industry-oriented training program.
Comprehensive understanding of Data Science concepts and workflows
Hands-on training in Python for Data Analysis and Data Science
Data Visualization using industry-standard tools and libraries
Data Collection, Cleaning, and Preprocessing techniques
Statistical Analysis and Probability Fundamentals
Introduction to Machine Learning and Predictive Analytics
Working with Databases using SQL and Data Management techniques
Exploratory Data Analysis (EDA) for discovering meaningful insights
Dashboard Creation and Business Intelligence Reporting
Real-world case studies and industry-focused projects
Benefits of Our Course
Everything you need to become job-ready.
High Career Demand: Data scientists are among the most sought-after professionals across industries.
Lucrative Salary Packages: Gain skills that can lead to well-paying job opportunities.
Hands-on Learning: Work on real-world datasets and industry-relevant projects.
Strong Programming Skills: Learn popular tools like Python, SQL, and data visualization libraries.
Data-Driven Decision Making: Learn how to analyze data and generate actionable business insights.
Certification: Earn a certificate to showcase your skills to employers.
Who Can Join This Course?
This course is suitable for learners from different backgrounds.
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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